data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import atrader as at\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据获取API测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>spret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.017955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.018636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.017536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.019906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.018856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.01906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.018677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.01667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.019207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.019862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.02039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.019723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.019133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.018367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.018579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.01766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.01629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.014937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.01444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.013411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.014365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.024088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.023486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.023588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.02328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.025764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.024932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.024846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.024435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.021097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.024275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.026442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.027157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.029304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.025763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.025055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.025033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.024424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.022752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.020646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.01803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.017214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.018463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.022716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.022523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.022817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.022247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.024568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.023063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.022983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.022195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.019791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.022801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.024946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.026244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.02727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.026502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.026187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.025498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.024876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.021699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.020369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.022242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.020784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.022739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.018575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.017869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.017775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.020355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.019508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.019572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.019559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.017517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.019328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.022572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.029155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.031487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.029675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.029199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.02909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.028442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.02783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.0253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.02388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.022371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.024219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.018697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.016373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.015784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.017844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.016985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.016826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.016679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.015001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.016484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.017237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.017613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.01919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.018775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.01905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.017728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.017177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.015818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.014718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.014214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.013586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.014767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>spret</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.017955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.018636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.017536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.019906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.018856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.01906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.018677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.01667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.019207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.019862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.02039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.019723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.019133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.018367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.018579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.01766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.01629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.014937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.01444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.013411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.014365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.024088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.023486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.023588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.02328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.025764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.024932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.024846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.024435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.021097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.024275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.026442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.027157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.029304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.025763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.025055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.025033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.024424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.022752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.020646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.01803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.017214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.018463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.022716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.022523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.022817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.022247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.024568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.023063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.022983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.022195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.019791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.022801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.024946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.026244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.02727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.026502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.026187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.025498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.024876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.021699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.020369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.022242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.020784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.022739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.018575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.017869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.017775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.020355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.019508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.019572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.019559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.017517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.019328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.022572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.029155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.031487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.029675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.029199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.02909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.028442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.02783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.0253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.02388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.022371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.024219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-02 00:00:00</td>\n",
       "      <td>0.018697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-03 00:00:00</td>\n",
       "      <td>0.018769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-04 00:00:00</td>\n",
       "      <td>0.016373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-05 00:00:00</td>\n",
       "      <td>0.015784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-08 00:00:00</td>\n",
       "      <td>0.017844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-09 00:00:00</td>\n",
       "      <td>0.016985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-10 00:00:00</td>\n",
       "      <td>0.016826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-11 00:00:00</td>\n",
       "      <td>0.016679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-12 00:00:00</td>\n",
       "      <td>0.015001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-15 00:00:00</td>\n",
       "      <td>0.016484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-16 00:00:00</td>\n",
       "      <td>0.017237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-17 00:00:00</td>\n",
       "      <td>0.017613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>0.01919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-19 00:00:00</td>\n",
       "      <td>0.018775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-22 00:00:00</td>\n",
       "      <td>0.01905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-23 00:00:00</td>\n",
       "      <td>0.017728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-24 00:00:00</td>\n",
       "      <td>0.017177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-25 00:00:00</td>\n",
       "      <td>0.015818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-26 00:00:00</td>\n",
       "      <td>0.014718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-29 00:00:00</td>\n",
       "      <td>0.014214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>0.013586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>2018-01-31 00:00:00</td>\n",
       "      <td>0.014767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = at.get_code_list('hs300')\n",
    "at.rm.specific_risk_day(res['code'].tolist()[0:5], begin_date='2018-01-01', end_date='2018-01-31')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            code   name block_name  weight\n0    szse.000001   平安银行       payh   0.911\n1    szse.000002    万科A        wkA   1.236\n2    szse.000063   中兴通讯       zxtx   0.575\n3    szse.000069   华侨城A       hqcA   0.261\n4    szse.000100  TCL集团      TCLjt   0.364\n5    szse.000157   中联重科       zlzk   0.167\n6    szse.000166   申万宏源       swhy   0.309\n7    szse.000333   美的集团       mdjt   1.871\n8    szse.000338   潍柴动力       wcdl   0.475\n9    szse.000402    金融街        jrj   0.085\n10   szse.000408   藏格控股       cgkg   0.060\n11   szse.000413   东旭光电       dxgd   0.192\n12   szse.000415   渤海租赁       bhzl   0.071\n13   szse.000423   东阿阿胶       daaj   0.180\n14   szse.000425   徐工机械       xgjx   0.171\n15   szse.000503   国新健康       gxjk   0.166\n16   szse.000538   云南白药       ynby   0.368\n17   szse.000553   安道麦A       admA   0.024\n18   szse.000568   泸州老窖       lzlj   0.404\n19   szse.000625   长安汽车       caqc   0.134\n20   szse.000627   天茂集团       tmjt   0.084\n21   szse.000630   铜陵有色       tlys   0.134\n22   szse.000651   格力电器       gldq   1.880\n23   szse.000661   长春高新       ccgx   0.357\n24   szse.000671    阳光城        ygc   0.112\n25   szse.000703   恒逸石化       hysh   0.144\n26   szse.000709   河钢股份       hggf   0.120\n27   szse.000725   京东方A       jdfA   0.765\n28   szse.000728   国元证券       gyzq   0.175\n29   szse.000768   中航飞机       zhfj   0.195\n30   szse.000776   广发证券       gfzq   0.396\n31   szse.000783   长江证券       cjzq   0.241\n32   szse.000786   北新建材       bxjc   0.141\n33   szse.000792   盐湖股份       yhgf   0.078\n34   szse.000826   启迪桑德       qdsd   0.092\n35   szse.000839   中信国安       zxga   0.135\n36   szse.000858    五粮液        wly   1.526\n37   szse.000876    新希望        xxw   0.232\n38   szse.000895   双汇发展       shfz   0.212\n39   szse.000898   鞍钢股份       aggf   0.087\n40   szse.000938   紫光股份       zggf   0.074\n41   szse.000959   首钢股份       sggf   0.058\n42   szse.000961   中南建设       znjs   0.146\n43   szse.000963   华东医药       hdyy   0.197\n44   szse.000983   西山煤电       xsmd   0.081\n45   szse.001965   招商公路       zsgl   0.042\n46   szse.001979   招商蛇口       zssk   0.452\n47   szse.002001    新和成        xhc   0.131\n48   szse.002007   华兰生物       hlsw   0.208\n49   szse.002008   大族激光       dzjg   0.298\n50   szse.002024   苏宁易购       snyg   0.387\n51   szse.002027   分众传媒       fzcm   0.381\n52   szse.002032    苏泊尔        sbe   0.102\n53   szse.002044   美年健康       mnjk   0.288\n54   szse.002050   三花智控       shzk   0.138\n55   szse.002065   东华软件       dhrj   0.137\n56   szse.002081    金螳螂        jtl   0.155\n57   szse.002085   万丰奥威       wfaw   0.088\n58   szse.002120   韵达股份       ydgf   0.044\n59   szse.002142   宁波银行       nbyh   0.458\n60   szse.002146   荣盛发展       rsfz   0.162\n61   szse.002153   石基信息       sjxx   0.086\n62   szse.002179   中航光电       zhgd   0.133\n63   szse.002202   金风科技       jfkj   0.333\n64   szse.002230   科大讯飞       kdxf   0.440\n65   szse.002236   大华股份       dhgf   0.244\n66   szse.002241   歌尔股份       gegf   0.169\n67   szse.002252   上海莱士       shls   0.119\n68   szse.002271   东方雨虹       dfyh   0.157\n69   szse.002294    信立泰        xlt   0.094\n70   szse.002304   洋河股份       yhgf   0.651\n71   szse.002310   东方园林       dfyl   0.088\n72   szse.002311   海大集团       hdjt   0.185\n73   szse.002352   顺丰控股       sfkg   0.147\n74   szse.002411   延安必康       yabk   0.052\n75   szse.002415   海康威视       hkws   1.071\n76   szse.002422   科伦药业       klyy   0.207\n77   szse.002450  ST康得新      STkdx   0.104\n78   szse.002456    欧菲光        ofg   0.223\n79   szse.002460   赣锋锂业       gfly   0.178\n80   szse.002466   天齐锂业       tqly   0.199\n81   szse.002468   申通快递       stkd   0.059\n82   szse.002475   立讯精密       lxjm   0.507\n83   szse.002493   荣盛石化       rssh   0.131\n84   szse.002508   老板电器       lbdq   0.126\n85   szse.002555   三七互娱       sqhy   0.073\n86   szse.002558   巨人网络       jrwl   0.111\n87   szse.002572    索菲亚        sfy   0.137\n88   szse.002594    比亚迪        byd   0.401\n89   szse.002601   龙蟒佰利       lmbl   0.081\n90   szse.002602   世纪华通       sjht   0.075\n91   szse.002624   完美世界       wmsj   0.104\n92   szse.002625   光启技术       gqjs   0.041\n93   szse.002673   西部证券       xbzq   0.167\n94   szse.002714   牧原股份       mygf   0.328\n95   szse.002736   国信证券       gxzq   0.276\n96   szse.002773   康弘药业       khyy   0.057\n97   szse.002797   第一创业       dycy   0.137\n98   szse.002925   盈趣科技       yqkj   0.043\n99   szse.300003   乐普医疗       lpyl   0.234\n100  szse.300015   爱尔眼科       aeyk   0.268\n101  szse.300017   网宿科技       wskj   0.153\n102  szse.300024    机器人        jqr   0.173\n103  szse.300033    同花顺        ths   0.178\n104  szse.300059   东方财富       dfcf   0.580\n105  szse.300070    碧水源        bsy   0.147\n106  szse.300072   三聚环保       sjhb   0.102\n107  szse.300122   智飞生物       zfsw   0.203\n108  szse.300124   汇川技术       hcjs   0.217\n109  szse.300136   信维通信       xwtx   0.186\n110  szse.300142   沃森生物       wssw   0.260\n111  szse.300144   宋城演艺       scyy   0.139\n112  szse.300251   光线传媒       gxcm   0.063\n113  szse.300296    利亚德        lyd   0.112\n114  szse.300408   三环集团       shjt   0.179\n115  szse.300433   蓝思科技       lskj   0.056\n116   sse.600000   浦发银行       pfyh   1.096\n117   sse.600004   白云机场       byjc   0.127\n118   sse.600009   上海机场       shjc   0.496\n119   sse.600010   包钢股份       bggf   0.276\n120   sse.600011   华能国际       hngj   0.239\n121   sse.600015   华夏银行       hxyh   0.420\n122   sse.600016   民生银行       msyh   1.302\n123   sse.600018   上港集团       sgjt   0.195\n124   sse.600019   宝钢股份       bggf   0.533\n125   sse.600023   浙能电力       zndl   0.164\n126   sse.600025   华能水电       hnsd   0.061\n127   sse.600027   华电国际       hdgj   0.118\n128   sse.600028   中国石化       zgsh   0.590\n129   sse.600029   南方航空       nfhk   0.243\n130   sse.600030   中信证券       zxzq   1.614\n131   sse.600031   三一重工       syzg   0.620\n132   sse.600036   招商银行       zsyh   2.895\n133   sse.600038   中直股份       zzgf   0.114\n134   sse.600048   保利地产       bldc   0.841\n135   sse.600050   中国联通       zglt   0.523\n136   sse.600061   国投资本       gtzb   0.102\n137   sse.600066   宇通客车       ytkc   0.148\n138   sse.600068    葛洲坝        gzb   0.166\n139   sse.600085    同仁堂        trt   0.136\n140   sse.600089   特变电工       tbdg   0.255\n141   sse.600100   同方股份       tfgf   0.212\n142   sse.600104   上汽集团       sqjt   0.756\n143   sse.600109   国金证券       gjzq   0.215\n144   sse.600111   北方稀土       bfxt   0.201\n145   sse.600115   东方航空       dfhk   0.225\n146   sse.600118   中国卫星       zgwx   0.123\n147   sse.600153   建发股份       jfgf   0.122\n148   sse.600157   永泰能源       ytny   0.112\n149   sse.600170   上海建工       shjg   0.138\n150   sse.600176   中国巨石       zgjs   0.186\n151   sse.600177    雅戈尔        yge   0.189\n152   sse.600188   兖州煤业       yzmy   0.078\n153   sse.600196   复星医药       fxyy   0.248\n154   sse.600208   新湖中宝       xhzb   0.140\n155   sse.600219   南山铝业       nsly   0.158\n156   sse.600221   海航控股       hhkg   0.208\n157   sse.600233   圆通速递       ytsd   0.041\n158   sse.600271   航天信息       htxx   0.258\n159   sse.600276   恒瑞医药       hryy   1.435\n160   sse.600297   广汇汽车       ghqc   0.108\n161   sse.600309   万华化学       whhx   0.591\n162   sse.600332    白云山        bys   0.181\n163   sse.600339   中油工程       zygc   0.063\n164   sse.600340   华夏幸福       hxxf   0.463\n165   sse.600346   恒力股份       hlgf   0.116\n166   sse.600352   浙江龙盛       zjls   0.370\n167   sse.600362   江西铜业       jxty   0.134\n168   sse.600369   西南证券       xnzq   0.129\n169   sse.600372   中航电子       zhdz   0.073\n170   sse.600383   金地集团       jdjt   0.257\n171   sse.600390   五矿资本       wkzb   0.044\n172   sse.600398   海澜之家       hlzj   0.145\n173   sse.600406   国电南瑞       gdnr   0.320\n174   sse.600415   小商品城       xspc   0.107\n175   sse.600436    片仔癀        pzh   0.287\n176   sse.600438   通威股份       twgf   0.195\n177   sse.600482   中国动力       zgdl   0.152\n178   sse.600487   亨通光电       htgd   0.234\n179   sse.600489   中金黄金       zjhj   0.122\n180   sse.600498   烽火通信       fhtx   0.183\n181   sse.600516   方大炭素       fdts   0.201\n182   sse.600518   康美药业       kmyy   0.258\n183   sse.600519   贵州茅台       gzmt   3.551\n184   sse.600522   中天科技       ztkj   0.202\n185   sse.600535    天士力        tsl   0.169\n186   sse.600547   山东黄金       sdhj   0.191\n187   sse.600549   厦门钨业       xmwy   0.106\n188   sse.600566   济川药业       jcyy   0.093\n189   sse.600570   恒生电子       hsdz   0.358\n190   sse.600583   海油工程       hygc   0.118\n191   sse.600585   海螺水泥       hlsn   0.632\n192   sse.600588   用友网络       yywl   0.269\n193   sse.600606   绿地控股       ldkg   0.228\n194   sse.600637   东方明珠       dfmz   0.211\n195   sse.600660   福耀玻璃       fybl   0.282\n196   sse.600674   川投能源       ctny   0.136\n197   sse.600688   上海石化       shsh   0.098\n198   sse.600690   青岛海尔       qdhe   0.518\n199   sse.600703   三安光电       sagd   0.297\n200   sse.600704   物产中大       wczd   0.081\n201   sse.600705   中航资本       zhzb   0.220\n202   sse.600739   辽宁成大       lncd   0.152\n203   sse.600741   华域汽车       hyqc   0.266\n204   sse.600760   中航沈飞       zhsf   0.114\n205   sse.600795   国电电力       gddl   0.261\n206   sse.600809   山西汾酒       sxfj   0.130\n207   sse.600816   安信信托       axxt   0.131\n208   sse.600837   海通证券       htzq   0.940\n209   sse.600867   通化东宝       thdb   0.205\n210   sse.600886   国投电力       gtdl   0.280\n211   sse.600887   伊利股份       ylgf   1.464\n212   sse.600893   航发动力       hfdl   0.197\n213   sse.600900   长江电力       cjdl   0.921\n214   sse.600909   华安证券       hazq   0.107\n215   sse.600919   江苏银行       jsyh   0.409\n216   sse.600926   杭州银行       hzyh   0.146\n217   sse.600958   东方证券       dfzq   0.353\n218   sse.600977   中国电影       zgdy   0.110\n219   sse.600998    九州通        jzt   0.073\n220   sse.600999   招商证券       zszq   0.415\n221   sse.601006   大秦铁路       dqtl   0.410\n222   sse.601009   南京银行       njyh   0.389\n223   sse.601012   隆基股份       ljgf   0.422\n224   sse.601018    宁波港        nbg   0.142\n225   sse.601021   春秋航空       cqhk   0.092\n226   sse.601066   中信建投       zxjt   0.095\n227   sse.601088   中国神华       zgsh   0.321\n228   sse.601108   财通证券       ctzq   0.043\n229   sse.601111   中国国航       zggh   0.268\n230   sse.601117   中国化学       zghx   0.106\n231   sse.601138   工业富联       gyfl   0.144\n232   sse.601155   新城控股       xckg   0.337\n233   sse.601166   兴业银行       xyyh   1.874\n234   sse.601169   北京银行       bjyh   0.759\n235   sse.601186   中国铁建       zgtj   0.438\n236   sse.601198   东兴证券       dxzq   0.157\n237   sse.601211   国泰君安       gtja   0.752\n238   sse.601212   白银有色       byys   0.032\n239   sse.601216   君正集团       jzjt   0.111\n240   sse.601225   陕西煤业       sxmy   0.295\n241   sse.601228    广州港        gzg   0.078\n242   sse.601229   上海银行       shyh   0.542\n243   sse.601238   广汽集团       gqjt   0.090\n244   sse.601288   农业银行       nyyh   1.182\n245   sse.601318   中国平安       zgpa   6.911\n246   sse.601328   交通银行       jtyh   1.419\n247   sse.601333   广深铁路       gstl   0.100\n248   sse.601336   新华保险       xhbx   0.371\n249   sse.601360    三六零        sll   0.087\n250   sse.601377   兴业证券       xyzq   0.281\n251   sse.601390   中国中铁       zgzt   0.448\n252   sse.601398   工商银行       gsyh   0.994\n253   sse.601555   东吴证券       dwzq   0.201\n254   sse.601600   中国铝业       zgly   0.227\n255   sse.601601   中国太保       zgtb   0.885\n256   sse.601607   上海医药       shyy   0.197\n257   sse.601611   中国核建       zghj   0.059\n258   sse.601618   中国中冶       zgzy   0.208\n259   sse.601628   中国人寿       zgrs   0.390\n260   sse.601633   长城汽车       ccqc   0.078\n261   sse.601668   中国建筑       zgjz   1.063\n262   sse.601669   中国电建       zgdj   0.292\n263   sse.601688   华泰证券       htzq   0.606\n264   sse.601727   上海电气       shdq   0.174\n265   sse.601766   中国中车       zgzc   0.733\n266   sse.601788   光大证券       gdzq   0.213\n267   sse.601800   中国交建       zgjj   0.243\n268   sse.601808   中海油服       zhyf   0.050\n269   sse.601818   光大银行       gdyh   0.540\n270   sse.601828    美凯龙        mkl   0.034\n271   sse.601838   成都银行       cdyh   0.029\n272   sse.601857   中国石油       zgsy   0.509\n273   sse.601877   正泰电器       ztdq   0.191\n274   sse.601878   浙商证券       zszq   0.128\n275   sse.601881   中国银河       zgyh   0.126\n276   sse.601888   中国国旅       zggl   0.566\n277   sse.601898   中煤能源       zmny   0.078\n278   sse.601899   紫金矿业       zjky   0.352\n279   sse.601901   方正证券       fzzq   0.262\n280   sse.601919   中远海控       zyhk   0.169\n281   sse.601933   永辉超市       yhcs   0.274\n282   sse.601939   建设银行       jsyh   0.386\n283   sse.601985   中国核电       zghd   0.234\n284   sse.601988   中国银行       zgyh   0.658\n285   sse.601989   中国重工       zgzg   0.442\n286   sse.601991   大唐发电       dtfd   0.070\n287   sse.601992   金隅集团       jyjt   0.123\n288   sse.601997   贵阳银行       gyyh   0.149\n289   sse.601998   中信银行       zxyh   0.160\n290   sse.603156   养元饮品       yyyp   0.029\n291   sse.603160   汇顶科技       hdkj   0.078\n292   sse.603259   药明康德       ymkd   0.081\n293   sse.603260   合盛硅业       hsgy   0.037\n294   sse.603288   海天味业       htwy   0.581\n295   sse.603799   华友钴业       hygy   0.154\n296   sse.603833   欧派家居       opjj   0.127\n297   sse.603858   步长制药       bczy   0.106\n298   sse.603986   兆易创新       zycx   0.120\n299   sse.603993   洛阳钼业       lymy   0.272\n"
     ]
    }
   ],
   "source": [
    "res = at.get_code_list('hs300')\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trade_date</th>\n",
       "      <th>bank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04 00:00:00</td>\n",
       "      <td>0.0224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05 00:00:00</td>\n",
       "      <td>-0.01567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-06 00:00:00</td>\n",
       "      <td>-0.0112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-07 00:00:00</td>\n",
       "      <td>0.0275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-08 00:00:00</td>\n",
       "      <td>-0.01925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-01-11 00:00:00</td>\n",
       "      <td>-0.00072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-01-12 00:00:00</td>\n",
       "      <td>-0.00693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-01-13 00:00:00</td>\n",
       "      <td>-0.00311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-01-14 00:00:00</td>\n",
       "      <td>-0.00523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>0.0134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2016-01-18 00:00:00</td>\n",
       "      <td>0.00475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2016-01-19 00:00:00</td>\n",
       "      <td>-0.01023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-01-20 00:00:00</td>\n",
       "      <td>0.00432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016-01-21 00:00:00</td>\n",
       "      <td>0.01319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2016-01-22 00:00:00</td>\n",
       "      <td>0.00503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2016-01-25 00:00:00</td>\n",
       "      <td>-0.00133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-01-26 00:00:00</td>\n",
       "      <td>0.00913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-01-27 00:00:00</td>\n",
       "      <td>0.0149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-01-28 00:00:00</td>\n",
       "      <td>0.00294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-01-29 00:00:00</td>\n",
       "      <td>-0.00313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-02-01 00:00:00</td>\n",
       "      <td>-0.00687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2016-02-02 00:00:00</td>\n",
       "      <td>-0.00258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2016-02-03 00:00:00</td>\n",
       "      <td>0.00062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2016-02-04 00:00:00</td>\n",
       "      <td>0.00383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2016-02-05 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2016-02-15 00:00:00</td>\n",
       "      <td>3e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016-02-16 00:00:00</td>\n",
       "      <td>-0.00228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2016-02-17 00:00:00</td>\n",
       "      <td>-0.00246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2016-02-18 00:00:00</td>\n",
       "      <td>0.00325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2016-02-19 00:00:00</td>\n",
       "      <td>-0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2016-02-22 00:00:00</td>\n",
       "      <td>-0.00466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2016-02-23 00:00:00</td>\n",
       "      <td>-0.00196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2016-02-24 00:00:00</td>\n",
       "      <td>-0.00696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2016-02-25 00:00:00</td>\n",
       "      <td>0.02478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>-0.00933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>-0.00428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2016-03-01 00:00:00</td>\n",
       "      <td>-0.00965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2016-03-02 00:00:00</td>\n",
       "      <td>-0.01619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2016-03-03 00:00:00</td>\n",
       "      <td>0.00951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2016-03-04 00:00:00</td>\n",
       "      <td>0.01384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2016-03-07 00:00:00</td>\n",
       "      <td>-0.00335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2016-03-08 00:00:00</td>\n",
       "      <td>0.0117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2016-03-09 00:00:00</td>\n",
       "      <td>0.0158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2016-03-10 00:00:00</td>\n",
       "      <td>-0.00334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>0.00758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2016-03-14 00:00:00</td>\n",
       "      <td>-0.01076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2016-03-15 00:00:00</td>\n",
       "      <td>0.00275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2016-03-16 00:00:00</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2016-03-17 00:00:00</td>\n",
       "      <td>-0.00592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>0.00047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2016-03-21 00:00:00</td>\n",
       "      <td>-0.00547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2016-03-22 00:00:00</td>\n",
       "      <td>0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2016-03-23 00:00:00</td>\n",
       "      <td>0.00595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>-0.00299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2016-03-25 00:00:00</td>\n",
       "      <td>-0.00349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2016-03-28 00:00:00</td>\n",
       "      <td>-0.00408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2016-03-29 00:00:00</td>\n",
       "      <td>0.0102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2016-03-30 00:00:00</td>\n",
       "      <td>0.00506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>-0.00402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2016-04-01 00:00:00</td>\n",
       "      <td>-0.00357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-04-05 00:00:00</td>\n",
       "      <td>0.00026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2016-04-06 00:00:00</td>\n",
       "      <td>-0.00695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-04-07 00:00:00</td>\n",
       "      <td>-0.00204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2016-04-08 00:00:00</td>\n",
       "      <td>0.00969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2016-04-11 00:00:00</td>\n",
       "      <td>-0.00488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2016-04-12 00:00:00</td>\n",
       "      <td>0.00062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2016-04-13 00:00:00</td>\n",
       "      <td>-0.00219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2016-04-14 00:00:00</td>\n",
       "      <td>-0.00094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>0.01018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2016-04-18 00:00:00</td>\n",
       "      <td>0.00495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2016-04-19 00:00:00</td>\n",
       "      <td>-0.00074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2016-04-20 00:00:00</td>\n",
       "      <td>0.0011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2016-04-21 00:00:00</td>\n",
       "      <td>0.00209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>0.00591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2016-04-25 00:00:00</td>\n",
       "      <td>-0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2016-04-26 00:00:00</td>\n",
       "      <td>0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2016-04-27 00:00:00</td>\n",
       "      <td>0.00175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2016-04-28 00:00:00</td>\n",
       "      <td>0.01068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2016-04-29 00:00:00</td>\n",
       "      <td>-0.01226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2016-05-03 00:00:00</td>\n",
       "      <td>-0.00067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2016-05-04 00:00:00</td>\n",
       "      <td>-0.0008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2016-05-05 00:00:00</td>\n",
       "      <td>0.00389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2016-05-06 00:00:00</td>\n",
       "      <td>0.01243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2016-05-09 00:00:00</td>\n",
       "      <td>-0.00239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2016-05-10 00:00:00</td>\n",
       "      <td>-0.00521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2016-05-11 00:00:00</td>\n",
       "      <td>-0.0187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2016-05-12 00:00:00</td>\n",
       "      <td>-0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>-0.00019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2016-05-16 00:00:00</td>\n",
       "      <td>0.00271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2016-05-17 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2016-05-18 00:00:00</td>\n",
       "      <td>0.0112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2016-05-19 00:00:00</td>\n",
       "      <td>0.00909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2016-05-20 00:00:00</td>\n",
       "      <td>0.00433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2016-05-23 00:00:00</td>\n",
       "      <td>-0.00335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2016-05-24 00:00:00</td>\n",
       "      <td>0.00094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2016-05-25 00:00:00</td>\n",
       "      <td>0.00893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2016-05-26 00:00:00</td>\n",
       "      <td>0.00975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>-0.0032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2016-05-30 00:00:00</td>\n",
       "      <td>0.00736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>0.00351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2016-06-01 00:00:00</td>\n",
       "      <td>-0.00439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2016-06-02 00:00:00</td>\n",
       "      <td>0.00712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2016-06-03 00:00:00</td>\n",
       "      <td>-0.00526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2016-06-06 00:00:00</td>\n",
       "      <td>-0.00437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2016-06-07 00:00:00</td>\n",
       "      <td>-0.00741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2016-06-08 00:00:00</td>\n",
       "      <td>0.00212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2016-06-13 00:00:00</td>\n",
       "      <td>-0.0031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2016-06-14 00:00:00</td>\n",
       "      <td>0.00317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2016-06-15 00:00:00</td>\n",
       "      <td>-0.00093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2016-06-16 00:00:00</td>\n",
       "      <td>0.00517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>0.00155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2016-06-20 00:00:00</td>\n",
       "      <td>0.00125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2016-06-21 00:00:00</td>\n",
       "      <td>0.00259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2016-06-22 00:00:00</td>\n",
       "      <td>0.00509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2016-06-23 00:00:00</td>\n",
       "      <td>0.00252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>-0.00372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2016-06-27 00:00:00</td>\n",
       "      <td>-0.00361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2016-06-28 00:00:00</td>\n",
       "      <td>0.00671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2016-06-29 00:00:00</td>\n",
       "      <td>-0.00056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2016-06-30 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2016-07-01 00:00:00</td>\n",
       "      <td>-0.00043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>-0.00837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2016-07-05 00:00:00</td>\n",
       "      <td>-0.00459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2016-07-06 00:00:00</td>\n",
       "      <td>-0.00223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2016-07-07 00:00:00</td>\n",
       "      <td>-0.00117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2016-07-08 00:00:00</td>\n",
       "      <td>-0.00482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2016-07-11 00:00:00</td>\n",
       "      <td>-0.01485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2016-07-12 00:00:00</td>\n",
       "      <td>-0.01359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>-0.00484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2016-07-14 00:00:00</td>\n",
       "      <td>0.00299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2016-07-15 00:00:00</td>\n",
       "      <td>-0.00546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2016-07-18 00:00:00</td>\n",
       "      <td>0.01167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2016-07-19 00:00:00</td>\n",
       "      <td>0.0076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2016-07-20 00:00:00</td>\n",
       "      <td>-0.00432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2016-07-21 00:00:00</td>\n",
       "      <td>-0.00096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2016-07-22 00:00:00</td>\n",
       "      <td>0.00597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2016-07-25 00:00:00</td>\n",
       "      <td>-0.0013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2016-07-26 00:00:00</td>\n",
       "      <td>-0.0075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2016-07-27 00:00:00</td>\n",
       "      <td>-0.0099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2016-07-28 00:00:00</td>\n",
       "      <td>-0.0302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2016-07-29 00:00:00</td>\n",
       "      <td>0.00605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2016-08-01 00:00:00</td>\n",
       "      <td>0.00901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2016-08-02 00:00:00</td>\n",
       "      <td>-0.00351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2016-08-03 00:00:00</td>\n",
       "      <td>-0.00758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>-0.00144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2016-08-05 00:00:00</td>\n",
       "      <td>0.00424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2016-08-08 00:00:00</td>\n",
       "      <td>-0.0072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2016-08-09 00:00:00</td>\n",
       "      <td>0.00168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2016-08-10 00:00:00</td>\n",
       "      <td>0.00196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2016-08-11 00:00:00</td>\n",
       "      <td>0.0156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2016-08-12 00:00:00</td>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2016-08-15 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2016-08-16 00:00:00</td>\n",
       "      <td>-0.0144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2016-08-17 00:00:00</td>\n",
       "      <td>-0.00471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2016-08-18 00:00:00</td>\n",
       "      <td>-0.00112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2016-08-19 00:00:00</td>\n",
       "      <td>0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2016-08-22 00:00:00</td>\n",
       "      <td>0.00322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2016-08-23 00:00:00</td>\n",
       "      <td>0.00213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2016-08-24 00:00:00</td>\n",
       "      <td>0.0021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2016-08-25 00:00:00</td>\n",
       "      <td>0.00558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2016-08-26 00:00:00</td>\n",
       "      <td>-0.00084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2016-08-29 00:00:00</td>\n",
       "      <td>-0.00631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2016-08-30 00:00:00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2016-08-31 00:00:00</td>\n",
       "      <td>8e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2016-09-01 00:00:00</td>\n",
       "      <td>0.00427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2016-09-02 00:00:00</td>\n",
       "      <td>-0.00435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2016-09-05 00:00:00</td>\n",
       "      <td>-0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2016-09-06 00:00:00</td>\n",
       "      <td>-0.00986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2016-09-07 00:00:00</td>\n",
       "      <td>-0.00059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2016-09-08 00:00:00</td>\n",
       "      <td>0.00494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2016-09-09 00:00:00</td>\n",
       "      <td>-0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2016-09-12 00:00:00</td>\n",
       "      <td>-0.01132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2016-09-13 00:00:00</td>\n",
       "      <td>0.00307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2016-09-14 00:00:00</td>\n",
       "      <td>-0.00512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2016-09-19 00:00:00</td>\n",
       "      <td>-0.00216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2016-09-20 00:00:00</td>\n",
       "      <td>-0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2016-09-21 00:00:00</td>\n",
       "      <td>0.0041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2016-09-22 00:00:00</td>\n",
       "      <td>-0.00309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2016-09-23 00:00:00</td>\n",
       "      <td>0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2016-09-26 00:00:00</td>\n",
       "      <td>0.00177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2016-09-27 00:00:00</td>\n",
       "      <td>0.00079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2016-09-28 00:00:00</td>\n",
       "      <td>-0.00072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2016-09-29 00:00:00</td>\n",
       "      <td>-0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2016-09-30 00:00:00</td>\n",
       "      <td>-0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2016-10-10 00:00:00</td>\n",
       "      <td>0.00362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2016-10-11 00:00:00</td>\n",
       "      <td>-0.00212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2016-10-12 00:00:00</td>\n",
       "      <td>-0.00152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2016-10-13 00:00:00</td>\n",
       "      <td>-0.00064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2016-10-14 00:00:00</td>\n",
       "      <td>-0.00352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2016-10-17 00:00:00</td>\n",
       "      <td>-0.00177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2016-10-18 00:00:00</td>\n",
       "      <td>-0.00414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2016-10-19 00:00:00</td>\n",
       "      <td>0.00257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2016-10-20 00:00:00</td>\n",
       "      <td>0.00056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2016-10-21 00:00:00</td>\n",
       "      <td>-0.00304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>2016-10-24 00:00:00</td>\n",
       "      <td>-0.00012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2016-10-25 00:00:00</td>\n",
       "      <td>0.00015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2016-10-26 00:00:00</td>\n",
       "      <td>-0.00507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2016-10-27 00:00:00</td>\n",
       "      <td>0.00302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2016-10-28 00:00:00</td>\n",
       "      <td>0.00345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>-0.00283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2016-11-01 00:00:00</td>\n",
       "      <td>0.00431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2016-11-02 00:00:00</td>\n",
       "      <td>0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>0.00026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2016-11-04 00:00:00</td>\n",
       "      <td>0.00264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2016-11-07 00:00:00</td>\n",
       "      <td>-0.00605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2016-11-08 00:00:00</td>\n",
       "      <td>0.00378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2016-11-09 00:00:00</td>\n",
       "      <td>-0.00474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>0.00068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2016-11-11 00:00:00</td>\n",
       "      <td>-0.00354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2016-11-14 00:00:00</td>\n",
       "      <td>-0.00128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>0.00261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2016-11-16 00:00:00</td>\n",
       "      <td>0.00086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2016-11-17 00:00:00</td>\n",
       "      <td>-0.00996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2016-11-18 00:00:00</td>\n",
       "      <td>0.00373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2016-11-21 00:00:00</td>\n",
       "      <td>0.00043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2016-11-22 00:00:00</td>\n",
       "      <td>0.00593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2016-11-23 00:00:00</td>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2016-11-24 00:00:00</td>\n",
       "      <td>-0.0098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2016-11-25 00:00:00</td>\n",
       "      <td>0.00265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2016-11-28 00:00:00</td>\n",
       "      <td>-0.01359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2016-11-29 00:00:00</td>\n",
       "      <td>-0.0166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>0.00453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2016-12-01 00:00:00</td>\n",
       "      <td>-0.00827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>-0.00277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2016-12-05 00:00:00</td>\n",
       "      <td>0.0178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2016-12-06 00:00:00</td>\n",
       "      <td>-0.00103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2016-12-07 00:00:00</td>\n",
       "      <td>-0.00437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2016-12-08 00:00:00</td>\n",
       "      <td>0.01017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>2016-12-09 00:00:00</td>\n",
       "      <td>0.0108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>2016-12-12 00:00:00</td>\n",
       "      <td>0.00385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>2016-12-13 00:00:00</td>\n",
       "      <td>-0.0226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>2016-12-14 00:00:00</td>\n",
       "      <td>0.00648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>2016-12-15 00:00:00</td>\n",
       "      <td>-0.01485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2016-12-16 00:00:00</td>\n",
       "      <td>-0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2016-12-20 00:00:00</td>\n",
       "      <td>-0.00107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2016-12-21 00:00:00</td>\n",
       "      <td>-0.00552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2016-12-22 00:00:00</td>\n",
       "      <td>-0.00614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2016-12-23 00:00:00</td>\n",
       "      <td>-0.00415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2016-12-26 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2016-12-27 00:00:00</td>\n",
       "      <td>0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2016-12-28 00:00:00</td>\n",
       "      <td>0.00158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2016-12-29 00:00:00</td>\n",
       "      <td>-0.0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2016-12-30 00:00:00</td>\n",
       "      <td>-0.00375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2017-01-03 00:00:00</td>\n",
       "      <td>0.00737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>-0.00309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2017-01-05 00:00:00</td>\n",
       "      <td>0.00035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2017-01-06 00:00:00</td>\n",
       "      <td>-0.00665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2017-01-09 00:00:00</td>\n",
       "      <td>-0.00329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2017-01-10 00:00:00</td>\n",
       "      <td>-0.00307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2017-01-11 00:00:00</td>\n",
       "      <td>0.00278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2017-01-12 00:00:00</td>\n",
       "      <td>0.00465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2017-01-13 00:00:00</td>\n",
       "      <td>-0.00475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2017-01-16 00:00:00</td>\n",
       "      <td>-0.01324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2017-01-17 00:00:00</td>\n",
       "      <td>-0.0007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2017-01-18 00:00:00</td>\n",
       "      <td>-0.00442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2017-01-19 00:00:00</td>\n",
       "      <td>0.00217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2017-01-20 00:00:00</td>\n",
       "      <td>0.00085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2017-01-23 00:00:00</td>\n",
       "      <td>-0.00516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2017-01-24 00:00:00</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2017-01-25 00:00:00</td>\n",
       "      <td>-0.00296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2017-01-26 00:00:00</td>\n",
       "      <td>0.00456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2017-02-03 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2017-02-06 00:00:00</td>\n",
       "      <td>-0.00032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2017-02-07 00:00:00</td>\n",
       "      <td>0.00039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2017-02-08 00:00:00</td>\n",
       "      <td>0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2017-02-09 00:00:00</td>\n",
       "      <td>0.00167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>-0.00797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>2017-02-13 00:00:00</td>\n",
       "      <td>0.00377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2017-02-14 00:00:00</td>\n",
       "      <td>-0.00567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>2017-02-15 00:00:00</td>\n",
       "      <td>0.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2017-02-16 00:00:00</td>\n",
       "      <td>-0.00191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>2017-02-17 00:00:00</td>\n",
       "      <td>-0.00672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2017-02-20 00:00:00</td>\n",
       "      <td>-0.0047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2017-02-21 00:00:00</td>\n",
       "      <td>-0.00182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>2017-02-22 00:00:00</td>\n",
       "      <td>-0.00498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>2017-02-23 00:00:00</td>\n",
       "      <td>0.00549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2017-02-24 00:00:00</td>\n",
       "      <td>-0.00313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2017-02-27 00:00:00</td>\n",
       "      <td>0.00275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>2017-02-28 00:00:00</td>\n",
       "      <td>-0.00022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2017-03-01 00:00:00</td>\n",
       "      <td>-0.00491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>2017-03-02 00:00:00</td>\n",
       "      <td>-0.00286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>2017-03-03 00:00:00</td>\n",
       "      <td>-0.00677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>2017-03-06 00:00:00</td>\n",
       "      <td>-0.00294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>2017-03-07 00:00:00</td>\n",
       "      <td>0.00474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>2017-03-08 00:00:00</td>\n",
       "      <td>-0.00088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>2017-03-09 00:00:00</td>\n",
       "      <td>0.0012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>2017-03-10 00:00:00</td>\n",
       "      <td>-0.00458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>2017-03-13 00:00:00</td>\n",
       "      <td>-0.00363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>2017-03-14 00:00:00</td>\n",
       "      <td>0.00077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>2017-03-15 00:00:00</td>\n",
       "      <td>-0.00861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>2017-03-16 00:00:00</td>\n",
       "      <td>0.00066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>2017-03-17 00:00:00</td>\n",
       "      <td>-0.00081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>2017-03-20 00:00:00</td>\n",
       "      <td>-0.00785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>2017-03-21 00:00:00</td>\n",
       "      <td>-0.01188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>2017-03-22 00:00:00</td>\n",
       "      <td>-0.01704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2017-03-23 00:00:00</td>\n",
       "      <td>0.00152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>2017-03-24 00:00:00</td>\n",
       "      <td>-0.00598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>2017-03-27 00:00:00</td>\n",
       "      <td>0.0159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>-0.00023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>2017-03-29 00:00:00</td>\n",
       "      <td>-0.00528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>2017-03-30 00:00:00</td>\n",
       "      <td>-0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>2017-03-31 00:00:00</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2017-04-05 00:00:00</td>\n",
       "      <td>-0.00906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2017-04-06 00:00:00</td>\n",
       "      <td>-0.01047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2017-04-07 00:00:00</td>\n",
       "      <td>-0.00198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2017-04-10 00:00:00</td>\n",
       "      <td>-0.01047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2017-04-11 00:00:00</td>\n",
       "      <td>-0.00218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>2017-04-12 00:00:00</td>\n",
       "      <td>-0.0066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2017-04-13 00:00:00</td>\n",
       "      <td>-0.00685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>-0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2017-04-17 00:00:00</td>\n",
       "      <td>-0.00898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2017-04-18 00:00:00</td>\n",
       "      <td>-0.01652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2017-04-19 00:00:00</td>\n",
       "      <td>-0.00362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2017-04-20 00:00:00</td>\n",
       "      <td>-0.02018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>0.00382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2017-04-24 00:00:00</td>\n",
       "      <td>-0.0024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2017-04-25 00:00:00</td>\n",
       "      <td>0.00355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2017-04-26 00:00:00</td>\n",
       "      <td>0.00558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2017-04-27 00:00:00</td>\n",
       "      <td>0.00933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2017-04-28 00:00:00</td>\n",
       "      <td>0.00848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2017-05-02 00:00:00</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>-0.0015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2017-05-04 00:00:00</td>\n",
       "      <td>-0.00253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2017-05-05 00:00:00</td>\n",
       "      <td>0.00146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2017-05-08 00:00:00</td>\n",
       "      <td>-0.00039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2017-05-09 00:00:00</td>\n",
       "      <td>0.00521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2017-05-10 00:00:00</td>\n",
       "      <td>0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2017-05-11 00:00:00</td>\n",
       "      <td>0.00628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>0.0262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2017-05-15 00:00:00</td>\n",
       "      <td>-0.00761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2017-05-16 00:00:00</td>\n",
       "      <td>6e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2017-05-17 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2017-05-18 00:00:00</td>\n",
       "      <td>0.00329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2017-05-19 00:00:00</td>\n",
       "      <td>-0.00459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2017-05-22 00:00:00</td>\n",
       "      <td>-0.00664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2017-05-23 00:00:00</td>\n",
       "      <td>0.00295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2017-05-24 00:00:00</td>\n",
       "      <td>0.00668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2017-05-25 00:00:00</td>\n",
       "      <td>-0.00131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2017-05-26 00:00:00</td>\n",
       "      <td>-0.00337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2017-05-31 00:00:00</td>\n",
       "      <td>-0.00447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2017-06-01 00:00:00</td>\n",
       "      <td>-0.00718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2017-06-02 00:00:00</td>\n",
       "      <td>0.00081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2017-06-05 00:00:00</td>\n",
       "      <td>-0.00941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2017-06-06 00:00:00</td>\n",
       "      <td>-0.00589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2017-06-07 00:00:00</td>\n",
       "      <td>0.00339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2017-06-08 00:00:00</td>\n",
       "      <td>-0.00296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2017-06-09 00:00:00</td>\n",
       "      <td>-0.00086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2017-06-12 00:00:00</td>\n",
       "      <td>-0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2017-06-13 00:00:00</td>\n",
       "      <td>0.00042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2017-06-14 00:00:00</td>\n",
       "      <td>0.00641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2017-06-15 00:00:00</td>\n",
       "      <td>-0.00429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2017-06-16 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2017-06-19 00:00:00</td>\n",
       "      <td>-0.00551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2017-06-20 00:00:00</td>\n",
       "      <td>0.0048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2017-06-21 00:00:00</td>\n",
       "      <td>-0.00771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2017-06-22 00:00:00</td>\n",
       "      <td>0.0057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2017-06-23 00:00:00</td>\n",
       "      <td>-0.00167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2017-06-26 00:00:00</td>\n",
       "      <td>-0.01804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2017-06-27 00:00:00</td>\n",
       "      <td>0.00659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2017-06-28 00:00:00</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2017-06-29 00:00:00</td>\n",
       "      <td>-0.00465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2017-06-30 00:00:00</td>\n",
       "      <td>-0.00604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2017-07-03 00:00:00</td>\n",
       "      <td>-0.00142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2017-07-04 00:00:00</td>\n",
       "      <td>0.00104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2017-07-05 00:00:00</td>\n",
       "      <td>-0.00037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2017-07-06 00:00:00</td>\n",
       "      <td>-0.00124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2017-07-07 00:00:00</td>\n",
       "      <td>-0.00879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2017-07-10 00:00:00</td>\n",
       "      <td>-0.00929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2017-07-11 00:00:00</td>\n",
       "      <td>0.00581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2017-07-12 00:00:00</td>\n",
       "      <td>0.00824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2017-07-13 00:00:00</td>\n",
       "      <td>0.00715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2017-07-14 00:00:00</td>\n",
       "      <td>-0.00179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2017-07-17 00:00:00</td>\n",
       "      <td>0.0161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2017-07-18 00:00:00</td>\n",
       "      <td>-0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2017-07-19 00:00:00</td>\n",
       "      <td>-0.01043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2017-07-20 00:00:00</td>\n",
       "      <td>-0.00516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2017-07-21 00:00:00</td>\n",
       "      <td>-0.00505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2017-07-24 00:00:00</td>\n",
       "      <td>0.00818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2017-07-25 00:00:00</td>\n",
       "      <td>0.0124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2017-07-26 00:00:00</td>\n",
       "      <td>0.00744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2017-07-27 00:00:00</td>\n",
       "      <td>0.00302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2017-07-28 00:00:00</td>\n",
       "      <td>-0.00078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2017-07-31 00:00:00</td>\n",
       "      <td>-0.01519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2017-08-01 00:00:00</td>\n",
       "      <td>0.01005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2017-08-02 00:00:00</td>\n",
       "      <td>0.01993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2017-08-03 00:00:00</td>\n",
       "      <td>-0.0065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2017-08-04 00:00:00</td>\n",
       "      <td>-0.00726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2017-08-07 00:00:00</td>\n",
       "      <td>-0.00697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2017-08-08 00:00:00</td>\n",
       "      <td>0.00161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2017-08-09 00:00:00</td>\n",
       "      <td>-0.02061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2017-08-10 00:00:00</td>\n",
       "      <td>-0.00035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2017-08-11 00:00:00</td>\n",
       "      <td>0.00869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2017-08-14 00:00:00</td>\n",
       "      <td>-0.00545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2017-08-15 00:00:00</td>\n",
       "      <td>0.01821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2017-08-16 00:00:00</td>\n",
       "      <td>-0.00214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2017-08-17 00:00:00</td>\n",
       "      <td>-0.00536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2017-08-18 00:00:00</td>\n",
       "      <td>-0.00418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2017-08-21 00:00:00</td>\n",
       "      <td>-0.00262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2017-08-22 00:00:00</td>\n",
       "      <td>0.00125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trade_date</th>\n",
       "      <th>bank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04 00:00:00</td>\n",
       "      <td>0.0224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05 00:00:00</td>\n",
       "      <td>-0.01567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-06 00:00:00</td>\n",
       "      <td>-0.0112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-07 00:00:00</td>\n",
       "      <td>0.0275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-08 00:00:00</td>\n",
       "      <td>-0.01925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-01-11 00:00:00</td>\n",
       "      <td>-0.00072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-01-12 00:00:00</td>\n",
       "      <td>-0.00693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-01-13 00:00:00</td>\n",
       "      <td>-0.00311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-01-14 00:00:00</td>\n",
       "      <td>-0.00523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>0.0134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2016-01-18 00:00:00</td>\n",
       "      <td>0.00475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2016-01-19 00:00:00</td>\n",
       "      <td>-0.01023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-01-20 00:00:00</td>\n",
       "      <td>0.00432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016-01-21 00:00:00</td>\n",
       "      <td>0.01319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2016-01-22 00:00:00</td>\n",
       "      <td>0.00503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2016-01-25 00:00:00</td>\n",
       "      <td>-0.00133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-01-26 00:00:00</td>\n",
       "      <td>0.00913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-01-27 00:00:00</td>\n",
       "      <td>0.0149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-01-28 00:00:00</td>\n",
       "      <td>0.00294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-01-29 00:00:00</td>\n",
       "      <td>-0.00313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-02-01 00:00:00</td>\n",
       "      <td>-0.00687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2016-02-02 00:00:00</td>\n",
       "      <td>-0.00258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2016-02-03 00:00:00</td>\n",
       "      <td>0.00062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2016-02-04 00:00:00</td>\n",
       "      <td>0.00383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2016-02-05 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2016-02-15 00:00:00</td>\n",
       "      <td>3e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016-02-16 00:00:00</td>\n",
       "      <td>-0.00228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2016-02-17 00:00:00</td>\n",
       "      <td>-0.00246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2016-02-18 00:00:00</td>\n",
       "      <td>0.00325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2016-02-19 00:00:00</td>\n",
       "      <td>-0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2016-02-22 00:00:00</td>\n",
       "      <td>-0.00466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2016-02-23 00:00:00</td>\n",
       "      <td>-0.00196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2016-02-24 00:00:00</td>\n",
       "      <td>-0.00696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2016-02-25 00:00:00</td>\n",
       "      <td>0.02478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>-0.00933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>-0.00428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2016-03-01 00:00:00</td>\n",
       "      <td>-0.00965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2016-03-02 00:00:00</td>\n",
       "      <td>-0.01619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2016-03-03 00:00:00</td>\n",
       "      <td>0.00951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2016-03-04 00:00:00</td>\n",
       "      <td>0.01384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2016-03-07 00:00:00</td>\n",
       "      <td>-0.00335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2016-03-08 00:00:00</td>\n",
       "      <td>0.0117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2016-03-09 00:00:00</td>\n",
       "      <td>0.0158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2016-03-10 00:00:00</td>\n",
       "      <td>-0.00334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>0.00758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2016-03-14 00:00:00</td>\n",
       "      <td>-0.01076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2016-03-15 00:00:00</td>\n",
       "      <td>0.00275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2016-03-16 00:00:00</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2016-03-17 00:00:00</td>\n",
       "      <td>-0.00592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>0.00047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2016-03-21 00:00:00</td>\n",
       "      <td>-0.00547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2016-03-22 00:00:00</td>\n",
       "      <td>0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2016-03-23 00:00:00</td>\n",
       "      <td>0.00595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>-0.00299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2016-03-25 00:00:00</td>\n",
       "      <td>-0.00349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2016-03-28 00:00:00</td>\n",
       "      <td>-0.00408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2016-03-29 00:00:00</td>\n",
       "      <td>0.0102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2016-03-30 00:00:00</td>\n",
       "      <td>0.00506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>-0.00402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2016-04-01 00:00:00</td>\n",
       "      <td>-0.00357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-04-05 00:00:00</td>\n",
       "      <td>0.00026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2016-04-06 00:00:00</td>\n",
       "      <td>-0.00695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-04-07 00:00:00</td>\n",
       "      <td>-0.00204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2016-04-08 00:00:00</td>\n",
       "      <td>0.00969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2016-04-11 00:00:00</td>\n",
       "      <td>-0.00488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2016-04-12 00:00:00</td>\n",
       "      <td>0.00062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2016-04-13 00:00:00</td>\n",
       "      <td>-0.00219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2016-04-14 00:00:00</td>\n",
       "      <td>-0.00094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>0.01018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2016-04-18 00:00:00</td>\n",
       "      <td>0.00495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2016-04-19 00:00:00</td>\n",
       "      <td>-0.00074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2016-04-20 00:00:00</td>\n",
       "      <td>0.0011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2016-04-21 00:00:00</td>\n",
       "      <td>0.00209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>0.00591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2016-04-25 00:00:00</td>\n",
       "      <td>-0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2016-04-26 00:00:00</td>\n",
       "      <td>0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2016-04-27 00:00:00</td>\n",
       "      <td>0.00175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2016-04-28 00:00:00</td>\n",
       "      <td>0.01068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2016-04-29 00:00:00</td>\n",
       "      <td>-0.01226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2016-05-03 00:00:00</td>\n",
       "      <td>-0.00067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2016-05-04 00:00:00</td>\n",
       "      <td>-0.0008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2016-05-05 00:00:00</td>\n",
       "      <td>0.00389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2016-05-06 00:00:00</td>\n",
       "      <td>0.01243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2016-05-09 00:00:00</td>\n",
       "      <td>-0.00239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2016-05-10 00:00:00</td>\n",
       "      <td>-0.00521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2016-05-11 00:00:00</td>\n",
       "      <td>-0.0187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2016-05-12 00:00:00</td>\n",
       "      <td>-0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>-0.00019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2016-05-16 00:00:00</td>\n",
       "      <td>0.00271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2016-05-17 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2016-05-18 00:00:00</td>\n",
       "      <td>0.0112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2016-05-19 00:00:00</td>\n",
       "      <td>0.00909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2016-05-20 00:00:00</td>\n",
       "      <td>0.00433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2016-05-23 00:00:00</td>\n",
       "      <td>-0.00335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2016-05-24 00:00:00</td>\n",
       "      <td>0.00094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2016-05-25 00:00:00</td>\n",
       "      <td>0.00893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2016-05-26 00:00:00</td>\n",
       "      <td>0.00975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>-0.0032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2016-05-30 00:00:00</td>\n",
       "      <td>0.00736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>0.00351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2016-06-01 00:00:00</td>\n",
       "      <td>-0.00439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2016-06-02 00:00:00</td>\n",
       "      <td>0.00712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2016-06-03 00:00:00</td>\n",
       "      <td>-0.00526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2016-06-06 00:00:00</td>\n",
       "      <td>-0.00437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2016-06-07 00:00:00</td>\n",
       "      <td>-0.00741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2016-06-08 00:00:00</td>\n",
       "      <td>0.00212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2016-06-13 00:00:00</td>\n",
       "      <td>-0.0031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2016-06-14 00:00:00</td>\n",
       "      <td>0.00317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2016-06-15 00:00:00</td>\n",
       "      <td>-0.00093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2016-06-16 00:00:00</td>\n",
       "      <td>0.00517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>0.00155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2016-06-20 00:00:00</td>\n",
       "      <td>0.00125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2016-06-21 00:00:00</td>\n",
       "      <td>0.00259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2016-06-22 00:00:00</td>\n",
       "      <td>0.00509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2016-06-23 00:00:00</td>\n",
       "      <td>0.00252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>-0.00372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2016-06-27 00:00:00</td>\n",
       "      <td>-0.00361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2016-06-28 00:00:00</td>\n",
       "      <td>0.00671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2016-06-29 00:00:00</td>\n",
       "      <td>-0.00056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2016-06-30 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2016-07-01 00:00:00</td>\n",
       "      <td>-0.00043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>-0.00837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2016-07-05 00:00:00</td>\n",
       "      <td>-0.00459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2016-07-06 00:00:00</td>\n",
       "      <td>-0.00223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2016-07-07 00:00:00</td>\n",
       "      <td>-0.00117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2016-07-08 00:00:00</td>\n",
       "      <td>-0.00482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2016-07-11 00:00:00</td>\n",
       "      <td>-0.01485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2016-07-12 00:00:00</td>\n",
       "      <td>-0.01359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>-0.00484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2016-07-14 00:00:00</td>\n",
       "      <td>0.00299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2016-07-15 00:00:00</td>\n",
       "      <td>-0.00546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2016-07-18 00:00:00</td>\n",
       "      <td>0.01167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2016-07-19 00:00:00</td>\n",
       "      <td>0.0076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2016-07-20 00:00:00</td>\n",
       "      <td>-0.00432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2016-07-21 00:00:00</td>\n",
       "      <td>-0.00096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2016-07-22 00:00:00</td>\n",
       "      <td>0.00597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2016-07-25 00:00:00</td>\n",
       "      <td>-0.0013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2016-07-26 00:00:00</td>\n",
       "      <td>-0.0075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2016-07-27 00:00:00</td>\n",
       "      <td>-0.0099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2016-07-28 00:00:00</td>\n",
       "      <td>-0.0302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2016-07-29 00:00:00</td>\n",
       "      <td>0.00605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2016-08-01 00:00:00</td>\n",
       "      <td>0.00901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2016-08-02 00:00:00</td>\n",
       "      <td>-0.00351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2016-08-03 00:00:00</td>\n",
       "      <td>-0.00758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>-0.00144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2016-08-05 00:00:00</td>\n",
       "      <td>0.00424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2016-08-08 00:00:00</td>\n",
       "      <td>-0.0072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2016-08-09 00:00:00</td>\n",
       "      <td>0.00168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2016-08-10 00:00:00</td>\n",
       "      <td>0.00196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2016-08-11 00:00:00</td>\n",
       "      <td>0.0156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2016-08-12 00:00:00</td>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2016-08-15 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2016-08-16 00:00:00</td>\n",
       "      <td>-0.0144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2016-08-17 00:00:00</td>\n",
       "      <td>-0.00471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2016-08-18 00:00:00</td>\n",
       "      <td>-0.00112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2016-08-19 00:00:00</td>\n",
       "      <td>0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2016-08-22 00:00:00</td>\n",
       "      <td>0.00322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2016-08-23 00:00:00</td>\n",
       "      <td>0.00213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2016-08-24 00:00:00</td>\n",
       "      <td>0.0021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2016-08-25 00:00:00</td>\n",
       "      <td>0.00558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2016-08-26 00:00:00</td>\n",
       "      <td>-0.00084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2016-08-29 00:00:00</td>\n",
       "      <td>-0.00631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2016-08-30 00:00:00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2016-08-31 00:00:00</td>\n",
       "      <td>8e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2016-09-01 00:00:00</td>\n",
       "      <td>0.00427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2016-09-02 00:00:00</td>\n",
       "      <td>-0.00435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2016-09-05 00:00:00</td>\n",
       "      <td>-0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2016-09-06 00:00:00</td>\n",
       "      <td>-0.00986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2016-09-07 00:00:00</td>\n",
       "      <td>-0.00059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2016-09-08 00:00:00</td>\n",
       "      <td>0.00494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2016-09-09 00:00:00</td>\n",
       "      <td>-0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2016-09-12 00:00:00</td>\n",
       "      <td>-0.01132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2016-09-13 00:00:00</td>\n",
       "      <td>0.00307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2016-09-14 00:00:00</td>\n",
       "      <td>-0.00512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2016-09-19 00:00:00</td>\n",
       "      <td>-0.00216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2016-09-20 00:00:00</td>\n",
       "      <td>-0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2016-09-21 00:00:00</td>\n",
       "      <td>0.0041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2016-09-22 00:00:00</td>\n",
       "      <td>-0.00309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2016-09-23 00:00:00</td>\n",
       "      <td>0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2016-09-26 00:00:00</td>\n",
       "      <td>0.00177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2016-09-27 00:00:00</td>\n",
       "      <td>0.00079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2016-09-28 00:00:00</td>\n",
       "      <td>-0.00072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2016-09-29 00:00:00</td>\n",
       "      <td>-0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2016-09-30 00:00:00</td>\n",
       "      <td>-0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2016-10-10 00:00:00</td>\n",
       "      <td>0.00362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2016-10-11 00:00:00</td>\n",
       "      <td>-0.00212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2016-10-12 00:00:00</td>\n",
       "      <td>-0.00152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2016-10-13 00:00:00</td>\n",
       "      <td>-0.00064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2016-10-14 00:00:00</td>\n",
       "      <td>-0.00352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2016-10-17 00:00:00</td>\n",
       "      <td>-0.00177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2016-10-18 00:00:00</td>\n",
       "      <td>-0.00414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2016-10-19 00:00:00</td>\n",
       "      <td>0.00257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2016-10-20 00:00:00</td>\n",
       "      <td>0.00056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2016-10-21 00:00:00</td>\n",
       "      <td>-0.00304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>2016-10-24 00:00:00</td>\n",
       "      <td>-0.00012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2016-10-25 00:00:00</td>\n",
       "      <td>0.00015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2016-10-26 00:00:00</td>\n",
       "      <td>-0.00507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2016-10-27 00:00:00</td>\n",
       "      <td>0.00302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2016-10-28 00:00:00</td>\n",
       "      <td>0.00345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>-0.00283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2016-11-01 00:00:00</td>\n",
       "      <td>0.00431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2016-11-02 00:00:00</td>\n",
       "      <td>0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>0.00026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2016-11-04 00:00:00</td>\n",
       "      <td>0.00264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2016-11-07 00:00:00</td>\n",
       "      <td>-0.00605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2016-11-08 00:00:00</td>\n",
       "      <td>0.00378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2016-11-09 00:00:00</td>\n",
       "      <td>-0.00474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>0.00068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2016-11-11 00:00:00</td>\n",
       "      <td>-0.00354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2016-11-14 00:00:00</td>\n",
       "      <td>-0.00128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>0.00261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2016-11-16 00:00:00</td>\n",
       "      <td>0.00086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2016-11-17 00:00:00</td>\n",
       "      <td>-0.00996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2016-11-18 00:00:00</td>\n",
       "      <td>0.00373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2016-11-21 00:00:00</td>\n",
       "      <td>0.00043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2016-11-22 00:00:00</td>\n",
       "      <td>0.00593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2016-11-23 00:00:00</td>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2016-11-24 00:00:00</td>\n",
       "      <td>-0.0098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2016-11-25 00:00:00</td>\n",
       "      <td>0.00265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2016-11-28 00:00:00</td>\n",
       "      <td>-0.01359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2016-11-29 00:00:00</td>\n",
       "      <td>-0.0166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>0.00453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2016-12-01 00:00:00</td>\n",
       "      <td>-0.00827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>-0.00277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2016-12-05 00:00:00</td>\n",
       "      <td>0.0178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2016-12-06 00:00:00</td>\n",
       "      <td>-0.00103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2016-12-07 00:00:00</td>\n",
       "      <td>-0.00437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2016-12-08 00:00:00</td>\n",
       "      <td>0.01017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>2016-12-09 00:00:00</td>\n",
       "      <td>0.0108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>2016-12-12 00:00:00</td>\n",
       "      <td>0.00385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>2016-12-13 00:00:00</td>\n",
       "      <td>-0.0226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>2016-12-14 00:00:00</td>\n",
       "      <td>0.00648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>2016-12-15 00:00:00</td>\n",
       "      <td>-0.01485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2016-12-16 00:00:00</td>\n",
       "      <td>-0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2016-12-20 00:00:00</td>\n",
       "      <td>-0.00107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2016-12-21 00:00:00</td>\n",
       "      <td>-0.00552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2016-12-22 00:00:00</td>\n",
       "      <td>-0.00614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2016-12-23 00:00:00</td>\n",
       "      <td>-0.00415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2016-12-26 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2016-12-27 00:00:00</td>\n",
       "      <td>0.00048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2016-12-28 00:00:00</td>\n",
       "      <td>0.00158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2016-12-29 00:00:00</td>\n",
       "      <td>-0.0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2016-12-30 00:00:00</td>\n",
       "      <td>-0.00375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2017-01-03 00:00:00</td>\n",
       "      <td>0.00737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>-0.00309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2017-01-05 00:00:00</td>\n",
       "      <td>0.00035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2017-01-06 00:00:00</td>\n",
       "      <td>-0.00665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2017-01-09 00:00:00</td>\n",
       "      <td>-0.00329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2017-01-10 00:00:00</td>\n",
       "      <td>-0.00307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2017-01-11 00:00:00</td>\n",
       "      <td>0.00278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2017-01-12 00:00:00</td>\n",
       "      <td>0.00465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2017-01-13 00:00:00</td>\n",
       "      <td>-0.00475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2017-01-16 00:00:00</td>\n",
       "      <td>-0.01324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2017-01-17 00:00:00</td>\n",
       "      <td>-0.0007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2017-01-18 00:00:00</td>\n",
       "      <td>-0.00442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2017-01-19 00:00:00</td>\n",
       "      <td>0.00217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2017-01-20 00:00:00</td>\n",
       "      <td>0.00085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2017-01-23 00:00:00</td>\n",
       "      <td>-0.00516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2017-01-24 00:00:00</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2017-01-25 00:00:00</td>\n",
       "      <td>-0.00296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2017-01-26 00:00:00</td>\n",
       "      <td>0.00456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2017-02-03 00:00:00</td>\n",
       "      <td>-0.00398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2017-02-06 00:00:00</td>\n",
       "      <td>-0.00032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2017-02-07 00:00:00</td>\n",
       "      <td>0.00039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2017-02-08 00:00:00</td>\n",
       "      <td>0.0023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2017-02-09 00:00:00</td>\n",
       "      <td>0.00167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>-0.00797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>2017-02-13 00:00:00</td>\n",
       "      <td>0.00377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2017-02-14 00:00:00</td>\n",
       "      <td>-0.00567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>2017-02-15 00:00:00</td>\n",
       "      <td>0.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2017-02-16 00:00:00</td>\n",
       "      <td>-0.00191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>2017-02-17 00:00:00</td>\n",
       "      <td>-0.00672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2017-02-20 00:00:00</td>\n",
       "      <td>-0.0047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2017-02-21 00:00:00</td>\n",
       "      <td>-0.00182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>2017-02-22 00:00:00</td>\n",
       "      <td>-0.00498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>2017-02-23 00:00:00</td>\n",
       "      <td>0.00549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2017-02-24 00:00:00</td>\n",
       "      <td>-0.00313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2017-02-27 00:00:00</td>\n",
       "      <td>0.00275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>2017-02-28 00:00:00</td>\n",
       "      <td>-0.00022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2017-03-01 00:00:00</td>\n",
       "      <td>-0.00491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>2017-03-02 00:00:00</td>\n",
       "      <td>-0.00286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>2017-03-03 00:00:00</td>\n",
       "      <td>-0.00677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>2017-03-06 00:00:00</td>\n",
       "      <td>-0.00294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>2017-03-07 00:00:00</td>\n",
       "      <td>0.00474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>2017-03-08 00:00:00</td>\n",
       "      <td>-0.00088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>2017-03-09 00:00:00</td>\n",
       "      <td>0.0012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>2017-03-10 00:00:00</td>\n",
       "      <td>-0.00458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>2017-03-13 00:00:00</td>\n",
       "      <td>-0.00363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>2017-03-14 00:00:00</td>\n",
       "      <td>0.00077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>2017-03-15 00:00:00</td>\n",
       "      <td>-0.00861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>2017-03-16 00:00:00</td>\n",
       "      <td>0.00066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>2017-03-17 00:00:00</td>\n",
       "      <td>-0.00081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>2017-03-20 00:00:00</td>\n",
       "      <td>-0.00785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>2017-03-21 00:00:00</td>\n",
       "      <td>-0.01188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>2017-03-22 00:00:00</td>\n",
       "      <td>-0.01704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2017-03-23 00:00:00</td>\n",
       "      <td>0.00152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>2017-03-24 00:00:00</td>\n",
       "      <td>-0.00598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>2017-03-27 00:00:00</td>\n",
       "      <td>0.0159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>-0.00023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>2017-03-29 00:00:00</td>\n",
       "      <td>-0.00528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>2017-03-30 00:00:00</td>\n",
       "      <td>-0.00069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>2017-03-31 00:00:00</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2017-04-05 00:00:00</td>\n",
       "      <td>-0.00906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2017-04-06 00:00:00</td>\n",
       "      <td>-0.01047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2017-04-07 00:00:00</td>\n",
       "      <td>-0.00198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2017-04-10 00:00:00</td>\n",
       "      <td>-0.01047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2017-04-11 00:00:00</td>\n",
       "      <td>-0.00218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>2017-04-12 00:00:00</td>\n",
       "      <td>-0.0066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2017-04-13 00:00:00</td>\n",
       "      <td>-0.00685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>-0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2017-04-17 00:00:00</td>\n",
       "      <td>-0.00898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2017-04-18 00:00:00</td>\n",
       "      <td>-0.01652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2017-04-19 00:00:00</td>\n",
       "      <td>-0.00362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2017-04-20 00:00:00</td>\n",
       "      <td>-0.02018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>0.00382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2017-04-24 00:00:00</td>\n",
       "      <td>-0.0024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2017-04-25 00:00:00</td>\n",
       "      <td>0.00355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2017-04-26 00:00:00</td>\n",
       "      <td>0.00558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2017-04-27 00:00:00</td>\n",
       "      <td>0.00933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2017-04-28 00:00:00</td>\n",
       "      <td>0.00848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2017-05-02 00:00:00</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>-0.0015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2017-05-04 00:00:00</td>\n",
       "      <td>-0.00253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2017-05-05 00:00:00</td>\n",
       "      <td>0.00146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2017-05-08 00:00:00</td>\n",
       "      <td>-0.00039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2017-05-09 00:00:00</td>\n",
       "      <td>0.00521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2017-05-10 00:00:00</td>\n",
       "      <td>0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2017-05-11 00:00:00</td>\n",
       "      <td>0.00628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>0.0262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2017-05-15 00:00:00</td>\n",
       "      <td>-0.00761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2017-05-16 00:00:00</td>\n",
       "      <td>6e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2017-05-17 00:00:00</td>\n",
       "      <td>-0.0027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2017-05-18 00:00:00</td>\n",
       "      <td>0.00329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2017-05-19 00:00:00</td>\n",
       "      <td>-0.00459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2017-05-22 00:00:00</td>\n",
       "      <td>-0.00664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2017-05-23 00:00:00</td>\n",
       "      <td>0.00295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2017-05-24 00:00:00</td>\n",
       "      <td>0.00668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2017-05-25 00:00:00</td>\n",
       "      <td>-0.00131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2017-05-26 00:00:00</td>\n",
       "      <td>-0.00337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2017-05-31 00:00:00</td>\n",
       "      <td>-0.00447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2017-06-01 00:00:00</td>\n",
       "      <td>-0.00718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2017-06-02 00:00:00</td>\n",
       "      <td>0.00081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2017-06-05 00:00:00</td>\n",
       "      <td>-0.00941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2017-06-06 00:00:00</td>\n",
       "      <td>-0.00589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2017-06-07 00:00:00</td>\n",
       "      <td>0.00339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2017-06-08 00:00:00</td>\n",
       "      <td>-0.00296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2017-06-09 00:00:00</td>\n",
       "      <td>-0.00086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2017-06-12 00:00:00</td>\n",
       "      <td>-0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2017-06-13 00:00:00</td>\n",
       "      <td>0.00042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2017-06-14 00:00:00</td>\n",
       "      <td>0.00641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2017-06-15 00:00:00</td>\n",
       "      <td>-0.00429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2017-06-16 00:00:00</td>\n",
       "      <td>0.00518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2017-06-19 00:00:00</td>\n",
       "      <td>-0.00551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2017-06-20 00:00:00</td>\n",
       "      <td>0.0048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2017-06-21 00:00:00</td>\n",
       "      <td>-0.00771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2017-06-22 00:00:00</td>\n",
       "      <td>0.0057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2017-06-23 00:00:00</td>\n",
       "      <td>-0.00167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2017-06-26 00:00:00</td>\n",
       "      <td>-0.01804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2017-06-27 00:00:00</td>\n",
       "      <td>0.00659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2017-06-28 00:00:00</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2017-06-29 00:00:00</td>\n",
       "      <td>-0.00465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2017-06-30 00:00:00</td>\n",
       "      <td>-0.00604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2017-07-03 00:00:00</td>\n",
       "      <td>-0.00142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2017-07-04 00:00:00</td>\n",
       "      <td>0.00104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2017-07-05 00:00:00</td>\n",
       "      <td>-0.00037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2017-07-06 00:00:00</td>\n",
       "      <td>-0.00124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2017-07-07 00:00:00</td>\n",
       "      <td>-0.00879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2017-07-10 00:00:00</td>\n",
       "      <td>-0.00929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2017-07-11 00:00:00</td>\n",
       "      <td>0.00581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2017-07-12 00:00:00</td>\n",
       "      <td>0.00824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2017-07-13 00:00:00</td>\n",
       "      <td>0.00715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2017-07-14 00:00:00</td>\n",
       "      <td>-0.00179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2017-07-17 00:00:00</td>\n",
       "      <td>0.0161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2017-07-18 00:00:00</td>\n",
       "      <td>-0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2017-07-19 00:00:00</td>\n",
       "      <td>-0.01043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2017-07-20 00:00:00</td>\n",
       "      <td>-0.00516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2017-07-21 00:00:00</td>\n",
       "      <td>-0.00505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2017-07-24 00:00:00</td>\n",
       "      <td>0.00818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2017-07-25 00:00:00</td>\n",
       "      <td>0.0124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2017-07-26 00:00:00</td>\n",
       "      <td>0.00744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2017-07-27 00:00:00</td>\n",
       "      <td>0.00302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2017-07-28 00:00:00</td>\n",
       "      <td>-0.00078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2017-07-31 00:00:00</td>\n",
       "      <td>-0.01519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2017-08-01 00:00:00</td>\n",
       "      <td>0.01005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2017-08-02 00:00:00</td>\n",
       "      <td>0.01993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2017-08-03 00:00:00</td>\n",
       "      <td>-0.0065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2017-08-04 00:00:00</td>\n",
       "      <td>-0.00726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2017-08-07 00:00:00</td>\n",
       "      <td>-0.00697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2017-08-08 00:00:00</td>\n",
       "      <td>0.00161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2017-08-09 00:00:00</td>\n",
       "      <td>-0.02061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2017-08-10 00:00:00</td>\n",
       "      <td>-0.00035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2017-08-11 00:00:00</td>\n",
       "      <td>0.00869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2017-08-14 00:00:00</td>\n",
       "      <td>-0.00545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2017-08-15 00:00:00</td>\n",
       "      <td>0.01821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2017-08-16 00:00:00</td>\n",
       "      <td>-0.00214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2017-08-17 00:00:00</td>\n",
       "      <td>-0.00536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2017-08-18 00:00:00</td>\n",
       "      <td>-0.00418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2017-08-21 00:00:00</td>\n",
       "      <td>-0.00262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2017-08-22 00:00:00</td>\n",
       "      <td>0.00125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = at.get_code_list('swyysw1')\n",
    "res = at.rm.factor_ret(begin_date='2016-01-01', end_date='2018-09-30', factor=(['bank'])) \n",
    "res.head(400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000004</td>\n",
       "      <td>国农科技</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000005</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000006</td>\n",
       "      <td>深振业A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000007</td>\n",
       "      <td>全新好</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000008</td>\n",
       "      <td>神州高铁</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000009</td>\n",
       "      <td>中国宝安</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000010</td>\n",
       "      <td>美丽生态</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000011</td>\n",
       "      <td>深物业A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000004</td>\n",
       "      <td>国农科技</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000005</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000006</td>\n",
       "      <td>深振业A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000007</td>\n",
       "      <td>全新好</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000008</td>\n",
       "      <td>神州高铁</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000009</td>\n",
       "      <td>中国宝安</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000010</td>\n",
       "      <td>美丽生态</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000011</td>\n",
       "      <td>深物业A</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = at.get_code_list('szse', date='2018-01-01')\n",
    "res.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>PE</th>\n",
       "      <th>PB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>7.42024</td>\n",
       "      <td>1.0038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>7.46608</td>\n",
       "      <td>1.0100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>7.55122</td>\n",
       "      <td>1.0215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>7.16482</td>\n",
       "      <td>0.9693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-08</td>\n",
       "      <td>7.28270</td>\n",
       "      <td>0.9852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>7.04693</td>\n",
       "      <td>0.9533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-01-12</td>\n",
       "      <td>7.07968</td>\n",
       "      <td>0.9578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-01-13</td>\n",
       "      <td>7.01419</td>\n",
       "      <td>0.9489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-01-14</td>\n",
       "      <td>7.05348</td>\n",
       "      <td>0.9542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>6.85046</td>\n",
       "      <td>0.9267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2016-01-18</td>\n",
       "      <td>6.81771</td>\n",
       "      <td>0.9223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2016-01-19</td>\n",
       "      <td>7.01419</td>\n",
       "      <td>0.9489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-01-20</td>\n",
       "      <td>6.90285</td>\n",
       "      <td>0.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016-01-21</td>\n",
       "      <td>6.75877</td>\n",
       "      <td>0.9143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2016-01-22</td>\n",
       "      <td>6.81116</td>\n",
       "      <td>0.9214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2016-01-25</td>\n",
       "      <td>6.79151</td>\n",
       "      <td>0.9188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-01-26</td>\n",
       "      <td>6.46405</td>\n",
       "      <td>0.8745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-01-27</td>\n",
       "      <td>6.47060</td>\n",
       "      <td>0.8754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-01-28</td>\n",
       "      <td>6.34617</td>\n",
       "      <td>0.8585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>6.54919</td>\n",
       "      <td>0.8860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-02-01</td>\n",
       "      <td>6.41821</td>\n",
       "      <td>0.8683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2016-02-02</td>\n",
       "      <td>6.51645</td>\n",
       "      <td>0.8816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2016-02-03</td>\n",
       "      <td>6.45095</td>\n",
       "      <td>0.8727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2016-02-04</td>\n",
       "      <td>6.51645</td>\n",
       "      <td>0.8816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2016-02-05</td>\n",
       "      <td>6.49680</td>\n",
       "      <td>0.8789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2016-02-15</td>\n",
       "      <td>6.41166</td>\n",
       "      <td>0.8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016-02-16</td>\n",
       "      <td>6.55574</td>\n",
       "      <td>0.8869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2016-02-17</td>\n",
       "      <td>6.64743</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2016-02-18</td>\n",
       "      <td>6.60814</td>\n",
       "      <td>0.8940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2016-02-19</td>\n",
       "      <td>6.57539</td>\n",
       "      <td>0.8895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2016-02-22</td>\n",
       "      <td>6.73912</td>\n",
       "      <td>0.9117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2016-02-23</td>\n",
       "      <td>6.62778</td>\n",
       "      <td>0.8966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2016-02-24</td>\n",
       "      <td>6.64743</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>6.33307</td>\n",
       "      <td>0.8567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>6.41166</td>\n",
       "      <td>0.8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>6.26103</td>\n",
       "      <td>0.8470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>6.35272</td>\n",
       "      <td>0.8594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>6.61468</td>\n",
       "      <td>0.8948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2016-03-03</td>\n",
       "      <td>6.62123</td>\n",
       "      <td>0.8957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2016-03-04</td>\n",
       "      <td>6.81116</td>\n",
       "      <td>0.9214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2016-03-07</td>\n",
       "      <td>6.77187</td>\n",
       "      <td>0.9161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2016-03-08</td>\n",
       "      <td>6.73257</td>\n",
       "      <td>0.9108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2016-03-09</td>\n",
       "      <td>6.66053</td>\n",
       "      <td>0.9010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>6.64226</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>6.64881</td>\n",
       "      <td>0.9002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2016-03-14</td>\n",
       "      <td>6.71425</td>\n",
       "      <td>0.9090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>6.75351</td>\n",
       "      <td>0.9143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2016-03-16</td>\n",
       "      <td>6.77314</td>\n",
       "      <td>0.9170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>6.81895</td>\n",
       "      <td>0.9232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>6.89748</td>\n",
       "      <td>0.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>7.06763</td>\n",
       "      <td>0.9569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2016-03-22</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.9498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2016-03-23</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.9480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>6.88439</td>\n",
       "      <td>0.9321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2016-03-25</td>\n",
       "      <td>6.93020</td>\n",
       "      <td>0.9383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2016-03-28</td>\n",
       "      <td>6.85822</td>\n",
       "      <td>0.9285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2016-03-29</td>\n",
       "      <td>6.82550</td>\n",
       "      <td>0.9241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.9480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>6.96292</td>\n",
       "      <td>0.8117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>6.97601</td>\n",
       "      <td>0.8132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-04-05</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.8162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2016-04-06</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-04-07</td>\n",
       "      <td>6.93020</td>\n",
       "      <td>0.8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2016-04-08</td>\n",
       "      <td>6.91711</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>6.98256</td>\n",
       "      <td>0.8140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>7.07417</td>\n",
       "      <td>0.8246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2016-04-14</td>\n",
       "      <td>7.09381</td>\n",
       "      <td>0.8269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>7.11998</td>\n",
       "      <td>0.8300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2016-04-18</td>\n",
       "      <td>7.02182</td>\n",
       "      <td>0.8185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2016-04-19</td>\n",
       "      <td>7.04800</td>\n",
       "      <td>0.8216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>6.88439</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2016-04-21</td>\n",
       "      <td>6.73704</td>\n",
       "      <td>0.8018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>6.76268</td>\n",
       "      <td>0.8048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2016-04-25</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2016-04-26</td>\n",
       "      <td>6.78832</td>\n",
       "      <td>0.8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2016-04-27</td>\n",
       "      <td>6.77550</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2016-04-28</td>\n",
       "      <td>6.83319</td>\n",
       "      <td>0.8132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2016-04-29</td>\n",
       "      <td>6.77550</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>6.84601</td>\n",
       "      <td>0.8147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2016-05-04</td>\n",
       "      <td>6.87165</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>6.87165</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2016-05-06</td>\n",
       "      <td>6.74345</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2016-05-09</td>\n",
       "      <td>6.63448</td>\n",
       "      <td>0.7895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2016-05-11</td>\n",
       "      <td>6.64730</td>\n",
       "      <td>0.7911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>6.65371</td>\n",
       "      <td>0.7918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>6.63448</td>\n",
       "      <td>0.7895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>6.64089</td>\n",
       "      <td>0.7903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2016-05-17</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2016-05-18</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2016-05-19</td>\n",
       "      <td>6.57038</td>\n",
       "      <td>0.7819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2016-05-23</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>6.54474</td>\n",
       "      <td>0.7789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2016-05-25</td>\n",
       "      <td>6.55756</td>\n",
       "      <td>0.7804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2016-05-26</td>\n",
       "      <td>6.55115</td>\n",
       "      <td>0.7796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>6.58320</td>\n",
       "      <td>0.7834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2016-05-30</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>6.76268</td>\n",
       "      <td>0.8048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2016-06-01</td>\n",
       "      <td>6.71781</td>\n",
       "      <td>0.7995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2016-06-02</td>\n",
       "      <td>6.70499</td>\n",
       "      <td>0.7979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2016-06-03</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2016-06-06</td>\n",
       "      <td>6.73704</td>\n",
       "      <td>0.8018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2016-06-07</td>\n",
       "      <td>6.74345</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2016-06-08</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2016-06-13</td>\n",
       "      <td>6.62166</td>\n",
       "      <td>0.7880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>6.66653</td>\n",
       "      <td>0.7934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>6.69217</td>\n",
       "      <td>0.7964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>6.59217</td>\n",
       "      <td>0.7845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>6.59986</td>\n",
       "      <td>0.7854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2016-06-20</td>\n",
       "      <td>6.61525</td>\n",
       "      <td>0.7873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>6.62294</td>\n",
       "      <td>0.7882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2016-06-22</td>\n",
       "      <td>6.71524</td>\n",
       "      <td>0.7992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2016-06-23</td>\n",
       "      <td>6.66140</td>\n",
       "      <td>0.7928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>6.59217</td>\n",
       "      <td>0.7845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2016-06-27</td>\n",
       "      <td>6.62294</td>\n",
       "      <td>0.7882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>6.63832</td>\n",
       "      <td>0.7900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2016-06-29</td>\n",
       "      <td>6.68448</td>\n",
       "      <td>0.7955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2016-06-30</td>\n",
       "      <td>6.69217</td>\n",
       "      <td>0.7964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>6.69986</td>\n",
       "      <td>0.7973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>PE</th>\n",
       "      <th>PB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>7.42024</td>\n",
       "      <td>1.0038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>7.46608</td>\n",
       "      <td>1.0100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>7.55122</td>\n",
       "      <td>1.0215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>7.16482</td>\n",
       "      <td>0.9693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-08</td>\n",
       "      <td>7.28270</td>\n",
       "      <td>0.9852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>7.04693</td>\n",
       "      <td>0.9533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-01-12</td>\n",
       "      <td>7.07968</td>\n",
       "      <td>0.9578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-01-13</td>\n",
       "      <td>7.01419</td>\n",
       "      <td>0.9489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-01-14</td>\n",
       "      <td>7.05348</td>\n",
       "      <td>0.9542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>6.85046</td>\n",
       "      <td>0.9267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2016-01-18</td>\n",
       "      <td>6.81771</td>\n",
       "      <td>0.9223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2016-01-19</td>\n",
       "      <td>7.01419</td>\n",
       "      <td>0.9489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-01-20</td>\n",
       "      <td>6.90285</td>\n",
       "      <td>0.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016-01-21</td>\n",
       "      <td>6.75877</td>\n",
       "      <td>0.9143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2016-01-22</td>\n",
       "      <td>6.81116</td>\n",
       "      <td>0.9214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2016-01-25</td>\n",
       "      <td>6.79151</td>\n",
       "      <td>0.9188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-01-26</td>\n",
       "      <td>6.46405</td>\n",
       "      <td>0.8745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-01-27</td>\n",
       "      <td>6.47060</td>\n",
       "      <td>0.8754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-01-28</td>\n",
       "      <td>6.34617</td>\n",
       "      <td>0.8585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>6.54919</td>\n",
       "      <td>0.8860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-02-01</td>\n",
       "      <td>6.41821</td>\n",
       "      <td>0.8683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2016-02-02</td>\n",
       "      <td>6.51645</td>\n",
       "      <td>0.8816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2016-02-03</td>\n",
       "      <td>6.45095</td>\n",
       "      <td>0.8727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2016-02-04</td>\n",
       "      <td>6.51645</td>\n",
       "      <td>0.8816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2016-02-05</td>\n",
       "      <td>6.49680</td>\n",
       "      <td>0.8789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2016-02-15</td>\n",
       "      <td>6.41166</td>\n",
       "      <td>0.8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016-02-16</td>\n",
       "      <td>6.55574</td>\n",
       "      <td>0.8869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2016-02-17</td>\n",
       "      <td>6.64743</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2016-02-18</td>\n",
       "      <td>6.60814</td>\n",
       "      <td>0.8940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2016-02-19</td>\n",
       "      <td>6.57539</td>\n",
       "      <td>0.8895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2016-02-22</td>\n",
       "      <td>6.73912</td>\n",
       "      <td>0.9117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2016-02-23</td>\n",
       "      <td>6.62778</td>\n",
       "      <td>0.8966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2016-02-24</td>\n",
       "      <td>6.64743</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>6.33307</td>\n",
       "      <td>0.8567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>6.41166</td>\n",
       "      <td>0.8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>6.26103</td>\n",
       "      <td>0.8470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>6.35272</td>\n",
       "      <td>0.8594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>6.61468</td>\n",
       "      <td>0.8948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2016-03-03</td>\n",
       "      <td>6.62123</td>\n",
       "      <td>0.8957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2016-03-04</td>\n",
       "      <td>6.81116</td>\n",
       "      <td>0.9214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2016-03-07</td>\n",
       "      <td>6.77187</td>\n",
       "      <td>0.9161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2016-03-08</td>\n",
       "      <td>6.73257</td>\n",
       "      <td>0.9108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2016-03-09</td>\n",
       "      <td>6.66053</td>\n",
       "      <td>0.9010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>6.64226</td>\n",
       "      <td>0.8993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>6.64881</td>\n",
       "      <td>0.9002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2016-03-14</td>\n",
       "      <td>6.71425</td>\n",
       "      <td>0.9090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>6.75351</td>\n",
       "      <td>0.9143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2016-03-16</td>\n",
       "      <td>6.77314</td>\n",
       "      <td>0.9170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>6.81895</td>\n",
       "      <td>0.9232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>6.89748</td>\n",
       "      <td>0.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>7.06763</td>\n",
       "      <td>0.9569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2016-03-22</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.9498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2016-03-23</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.9480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>6.88439</td>\n",
       "      <td>0.9321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2016-03-25</td>\n",
       "      <td>6.93020</td>\n",
       "      <td>0.9383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2016-03-28</td>\n",
       "      <td>6.85822</td>\n",
       "      <td>0.9285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2016-03-29</td>\n",
       "      <td>6.82550</td>\n",
       "      <td>0.9241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.9480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>6.96292</td>\n",
       "      <td>0.8117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>6.97601</td>\n",
       "      <td>0.8132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-04-05</td>\n",
       "      <td>7.00219</td>\n",
       "      <td>0.8162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2016-04-06</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-04-07</td>\n",
       "      <td>6.93020</td>\n",
       "      <td>0.8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2016-04-08</td>\n",
       "      <td>6.91711</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>7.01528</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>6.98256</td>\n",
       "      <td>0.8140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>7.07417</td>\n",
       "      <td>0.8246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2016-04-14</td>\n",
       "      <td>7.09381</td>\n",
       "      <td>0.8269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>7.11998</td>\n",
       "      <td>0.8300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2016-04-18</td>\n",
       "      <td>7.02182</td>\n",
       "      <td>0.8185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2016-04-19</td>\n",
       "      <td>7.04800</td>\n",
       "      <td>0.8216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>6.88439</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2016-04-21</td>\n",
       "      <td>6.73704</td>\n",
       "      <td>0.8018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>6.76268</td>\n",
       "      <td>0.8048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2016-04-25</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2016-04-26</td>\n",
       "      <td>6.78832</td>\n",
       "      <td>0.8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2016-04-27</td>\n",
       "      <td>6.77550</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2016-04-28</td>\n",
       "      <td>6.83319</td>\n",
       "      <td>0.8132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2016-04-29</td>\n",
       "      <td>6.77550</td>\n",
       "      <td>0.8063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>6.84601</td>\n",
       "      <td>0.8147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2016-05-04</td>\n",
       "      <td>6.87165</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>6.87165</td>\n",
       "      <td>0.8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2016-05-06</td>\n",
       "      <td>6.74345</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2016-05-09</td>\n",
       "      <td>6.63448</td>\n",
       "      <td>0.7895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2016-05-11</td>\n",
       "      <td>6.64730</td>\n",
       "      <td>0.7911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>6.65371</td>\n",
       "      <td>0.7918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>6.63448</td>\n",
       "      <td>0.7895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>6.64089</td>\n",
       "      <td>0.7903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2016-05-17</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2016-05-18</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2016-05-19</td>\n",
       "      <td>6.57038</td>\n",
       "      <td>0.7819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>6.60243</td>\n",
       "      <td>0.7857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2016-05-23</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>6.54474</td>\n",
       "      <td>0.7789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2016-05-25</td>\n",
       "      <td>6.55756</td>\n",
       "      <td>0.7804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2016-05-26</td>\n",
       "      <td>6.55115</td>\n",
       "      <td>0.7796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>6.58320</td>\n",
       "      <td>0.7834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2016-05-30</td>\n",
       "      <td>6.58961</td>\n",
       "      <td>0.7842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>6.76268</td>\n",
       "      <td>0.8048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2016-06-01</td>\n",
       "      <td>6.71781</td>\n",
       "      <td>0.7995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2016-06-02</td>\n",
       "      <td>6.70499</td>\n",
       "      <td>0.7979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2016-06-03</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2016-06-06</td>\n",
       "      <td>6.73704</td>\n",
       "      <td>0.8018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2016-06-07</td>\n",
       "      <td>6.74345</td>\n",
       "      <td>0.8025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2016-06-08</td>\n",
       "      <td>6.73063</td>\n",
       "      <td>0.8010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2016-06-13</td>\n",
       "      <td>6.62166</td>\n",
       "      <td>0.7880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>6.66653</td>\n",
       "      <td>0.7934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>6.69217</td>\n",
       "      <td>0.7964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>6.59217</td>\n",
       "      <td>0.7845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>6.59986</td>\n",
       "      <td>0.7854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2016-06-20</td>\n",
       "      <td>6.61525</td>\n",
       "      <td>0.7873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>6.62294</td>\n",
       "      <td>0.7882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2016-06-22</td>\n",
       "      <td>6.71524</td>\n",
       "      <td>0.7992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2016-06-23</td>\n",
       "      <td>6.66140</td>\n",
       "      <td>0.7928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>6.59217</td>\n",
       "      <td>0.7845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2016-06-27</td>\n",
       "      <td>6.62294</td>\n",
       "      <td>0.7882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>6.63832</td>\n",
       "      <td>0.7900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2016-06-29</td>\n",
       "      <td>6.68448</td>\n",
       "      <td>0.7955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2016-06-30</td>\n",
       "      <td>6.69217</td>\n",
       "      <td>0.7964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>6.69986</td>\n",
       "      <td>0.7973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#获取BP因子数据（单个股票）：\n",
    "factor_data=at.get_factor_by_code(factor_list=['PE', 'PB'], target='SZSE.000001', \n",
    "                                  begin_date='2016-01-01', end_date='2016-07-02')\n",
    "#打印输出结果：\n",
    "factor_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>GrossProfit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SSE.601989</td>\n",
       "      <td>7.0834e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SZSE.000002</td>\n",
       "      <td>4.6436e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>GrossProfit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SSE.601989</td>\n",
       "      <td>7.0834e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SZSE.000002</td>\n",
       "      <td>4.6436e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#获取BP因子数据（单个股票）：\n",
    "factor_data=at.get_factor_by_day(factor_list=['GrossProfit'], target_list=['SSE.601989','SZSE.000002'], date='2016-06-01')\n",
    "#打印输出结果：\n",
    "factor_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#获取BP因子数据（单个股票) 获取市值因子\n",
    "A= at.get_code_list('hs300',date='2018-09-30')\n",
    "factor_data=at.get_factor_by_factor(factor='MktValue', target_list=A[\"code\"].tolist(), begin_date='2016-01-01', end_date='2016-07-02')\n",
    "#打印输出结果：\n",
    "factor_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>payh</td>\n",
       "      <td>0.976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td>wkA</td>\n",
       "      <td>1.228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000060</td>\n",
       "      <td>中金岭南</td>\n",
       "      <td>zjln</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>中兴通讯</td>\n",
       "      <td>zxtx</td>\n",
       "      <td>0.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>华侨城A</td>\n",
       "      <td>hqcA</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>TCL集团</td>\n",
       "      <td>TCLjt</td>\n",
       "      <td>0.279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000157</td>\n",
       "      <td>中联重科</td>\n",
       "      <td>zlzk</td>\n",
       "      <td>0.156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000166</td>\n",
       "      <td>申万宏源</td>\n",
       "      <td>swhy</td>\n",
       "      <td>0.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000333</td>\n",
       "      <td>美的集团</td>\n",
       "      <td>mdjt</td>\n",
       "      <td>1.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000338</td>\n",
       "      <td>潍柴动力</td>\n",
       "      <td>wcdl</td>\n",
       "      <td>0.376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>szse.000402</td>\n",
       "      <td>金融街</td>\n",
       "      <td>jrj</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>szse.000413</td>\n",
       "      <td>东旭光电</td>\n",
       "      <td>dxgd</td>\n",
       "      <td>0.188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>szse.000415</td>\n",
       "      <td>渤海租赁</td>\n",
       "      <td>bhzl</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>szse.000423</td>\n",
       "      <td>东阿阿胶</td>\n",
       "      <td>daaj</td>\n",
       "      <td>0.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>szse.000425</td>\n",
       "      <td>徐工机械</td>\n",
       "      <td>xgjx</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>szse.000503</td>\n",
       "      <td>国新健康</td>\n",
       "      <td>gxjk</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>szse.000538</td>\n",
       "      <td>云南白药</td>\n",
       "      <td>ynby</td>\n",
       "      <td>0.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>szse.000540</td>\n",
       "      <td>中天金融</td>\n",
       "      <td>ztjr</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>szse.000559</td>\n",
       "      <td>万向钱潮</td>\n",
       "      <td>wxqc</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>szse.000568</td>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>lzlj</td>\n",
       "      <td>0.291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>szse.000623</td>\n",
       "      <td>吉林敖东</td>\n",
       "      <td>jlad</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>szse.000625</td>\n",
       "      <td>长安汽车</td>\n",
       "      <td>caqc</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>szse.000627</td>\n",
       "      <td>天茂集团</td>\n",
       "      <td>tmjt</td>\n",
       "      <td>0.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>szse.000630</td>\n",
       "      <td>铜陵有色</td>\n",
       "      <td>tlys</td>\n",
       "      <td>0.138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>szse.000651</td>\n",
       "      <td>格力电器</td>\n",
       "      <td>gldq</td>\n",
       "      <td>1.909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>szse.000671</td>\n",
       "      <td>阳光城</td>\n",
       "      <td>ygc</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>szse.000709</td>\n",
       "      <td>河钢股份</td>\n",
       "      <td>hggf</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>szse.000723</td>\n",
       "      <td>美锦能源</td>\n",
       "      <td>mjny</td>\n",
       "      <td>0.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>szse.000725</td>\n",
       "      <td>京东方A</td>\n",
       "      <td>jdfA</td>\n",
       "      <td>0.679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>szse.000728</td>\n",
       "      <td>国元证券</td>\n",
       "      <td>gyzq</td>\n",
       "      <td>0.152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>szse.000768</td>\n",
       "      <td>中航飞机</td>\n",
       "      <td>zhfj</td>\n",
       "      <td>0.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>szse.000776</td>\n",
       "      <td>广发证券</td>\n",
       "      <td>gfzq</td>\n",
       "      <td>0.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>szse.000783</td>\n",
       "      <td>长江证券</td>\n",
       "      <td>cjzq</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>szse.000786</td>\n",
       "      <td>北新建材</td>\n",
       "      <td>bxjc</td>\n",
       "      <td>0.123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>szse.000792</td>\n",
       "      <td>盐湖股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>szse.000826</td>\n",
       "      <td>启迪桑德</td>\n",
       "      <td>qdsd</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>szse.000839</td>\n",
       "      <td>中信国安</td>\n",
       "      <td>zxga</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>szse.000858</td>\n",
       "      <td>五粮液</td>\n",
       "      <td>wly</td>\n",
       "      <td>0.974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>szse.000876</td>\n",
       "      <td>新希望</td>\n",
       "      <td>xxw</td>\n",
       "      <td>0.131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>szse.000895</td>\n",
       "      <td>双汇发展</td>\n",
       "      <td>shfz</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>szse.000898</td>\n",
       "      <td>鞍钢股份</td>\n",
       "      <td>aggf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>szse.000938</td>\n",
       "      <td>紫光股份</td>\n",
       "      <td>zggf</td>\n",
       "      <td>0.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>szse.000959</td>\n",
       "      <td>首钢股份</td>\n",
       "      <td>sggf</td>\n",
       "      <td>0.068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>szse.000961</td>\n",
       "      <td>中南建设</td>\n",
       "      <td>znjs</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>szse.000963</td>\n",
       "      <td>华东医药</td>\n",
       "      <td>hdyy</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>szse.000983</td>\n",
       "      <td>西山煤电</td>\n",
       "      <td>xsmd</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>szse.001965</td>\n",
       "      <td>招商公路</td>\n",
       "      <td>zsgl</td>\n",
       "      <td>0.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>szse.001979</td>\n",
       "      <td>招商蛇口</td>\n",
       "      <td>zssk</td>\n",
       "      <td>0.465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>szse.002007</td>\n",
       "      <td>华兰生物</td>\n",
       "      <td>hlsw</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>szse.002008</td>\n",
       "      <td>大族激光</td>\n",
       "      <td>dzjg</td>\n",
       "      <td>0.279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>szse.002024</td>\n",
       "      <td>苏宁易购</td>\n",
       "      <td>snyg</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>szse.002027</td>\n",
       "      <td>分众传媒</td>\n",
       "      <td>fzcm</td>\n",
       "      <td>0.459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>szse.002044</td>\n",
       "      <td>美年健康</td>\n",
       "      <td>mnjk</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>szse.002050</td>\n",
       "      <td>三花智控</td>\n",
       "      <td>shzk</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>szse.002065</td>\n",
       "      <td>东华软件</td>\n",
       "      <td>dhrj</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>szse.002074</td>\n",
       "      <td>国轩高科</td>\n",
       "      <td>gxgk</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>szse.002081</td>\n",
       "      <td>金螳螂</td>\n",
       "      <td>jtl</td>\n",
       "      <td>0.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>szse.002085</td>\n",
       "      <td>万丰奥威</td>\n",
       "      <td>wfaw</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>szse.002142</td>\n",
       "      <td>宁波银行</td>\n",
       "      <td>nbyh</td>\n",
       "      <td>0.465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>szse.002146</td>\n",
       "      <td>荣盛发展</td>\n",
       "      <td>rsfz</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>szse.002153</td>\n",
       "      <td>石基信息</td>\n",
       "      <td>sjxx</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>szse.002202</td>\n",
       "      <td>金风科技</td>\n",
       "      <td>jfkj</td>\n",
       "      <td>0.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>szse.002230</td>\n",
       "      <td>科大讯飞</td>\n",
       "      <td>kdxf</td>\n",
       "      <td>0.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>szse.002236</td>\n",
       "      <td>大华股份</td>\n",
       "      <td>dhgf</td>\n",
       "      <td>0.209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>szse.002241</td>\n",
       "      <td>歌尔股份</td>\n",
       "      <td>gegf</td>\n",
       "      <td>0.148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>szse.002252</td>\n",
       "      <td>上海莱士</td>\n",
       "      <td>shls</td>\n",
       "      <td>0.304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>szse.002294</td>\n",
       "      <td>信立泰</td>\n",
       "      <td>xlt</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>szse.002304</td>\n",
       "      <td>洋河股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>szse.002310</td>\n",
       "      <td>东方园林</td>\n",
       "      <td>dfyl</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>szse.002352</td>\n",
       "      <td>顺丰控股</td>\n",
       "      <td>sfkg</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>szse.002385</td>\n",
       "      <td>大北农</td>\n",
       "      <td>dbn</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>szse.002411</td>\n",
       "      <td>延安必康</td>\n",
       "      <td>yabk</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>szse.002415</td>\n",
       "      <td>海康威视</td>\n",
       "      <td>hkws</td>\n",
       "      <td>0.931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>szse.002450</td>\n",
       "      <td>ST康得新</td>\n",
       "      <td>STkdx</td>\n",
       "      <td>0.375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>szse.002456</td>\n",
       "      <td>欧菲光</td>\n",
       "      <td>ofg</td>\n",
       "      <td>0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>szse.002460</td>\n",
       "      <td>赣锋锂业</td>\n",
       "      <td>gfly</td>\n",
       "      <td>0.192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>szse.002466</td>\n",
       "      <td>天齐锂业</td>\n",
       "      <td>tqly</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>szse.002468</td>\n",
       "      <td>申通快递</td>\n",
       "      <td>stkd</td>\n",
       "      <td>0.058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>szse.002470</td>\n",
       "      <td>金正大</td>\n",
       "      <td>jzd</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>szse.002475</td>\n",
       "      <td>立讯精密</td>\n",
       "      <td>lxjm</td>\n",
       "      <td>0.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>szse.002493</td>\n",
       "      <td>荣盛石化</td>\n",
       "      <td>rssh</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>szse.002500</td>\n",
       "      <td>山西证券</td>\n",
       "      <td>sxzq</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>szse.002508</td>\n",
       "      <td>老板电器</td>\n",
       "      <td>lbdq</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>szse.002555</td>\n",
       "      <td>三七互娱</td>\n",
       "      <td>sqhy</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>szse.002558</td>\n",
       "      <td>巨人网络</td>\n",
       "      <td>jrwl</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>szse.002572</td>\n",
       "      <td>索菲亚</td>\n",
       "      <td>sfy</td>\n",
       "      <td>0.121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>szse.002594</td>\n",
       "      <td>比亚迪</td>\n",
       "      <td>byd</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>szse.002601</td>\n",
       "      <td>龙蟒佰利</td>\n",
       "      <td>lmbl</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>szse.002602</td>\n",
       "      <td>世纪华通</td>\n",
       "      <td>sjht</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>szse.002608</td>\n",
       "      <td>江苏国信</td>\n",
       "      <td>jsgx</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>szse.002624</td>\n",
       "      <td>完美世界</td>\n",
       "      <td>wmsj</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>szse.002625</td>\n",
       "      <td>光启技术</td>\n",
       "      <td>gqjs</td>\n",
       "      <td>0.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>szse.002673</td>\n",
       "      <td>西部证券</td>\n",
       "      <td>xbzq</td>\n",
       "      <td>0.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>szse.002714</td>\n",
       "      <td>牧原股份</td>\n",
       "      <td>mygf</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>szse.002736</td>\n",
       "      <td>国信证券</td>\n",
       "      <td>gxzq</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>szse.002739</td>\n",
       "      <td>万达电影</td>\n",
       "      <td>wddy</td>\n",
       "      <td>0.254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>szse.002797</td>\n",
       "      <td>第一创业</td>\n",
       "      <td>dycy</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>szse.002925</td>\n",
       "      <td>盈趣科技</td>\n",
       "      <td>yqkj</td>\n",
       "      <td>0.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>szse.300003</td>\n",
       "      <td>乐普医疗</td>\n",
       "      <td>lpyl</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>szse.300015</td>\n",
       "      <td>爱尔眼科</td>\n",
       "      <td>aeyk</td>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>szse.300017</td>\n",
       "      <td>网宿科技</td>\n",
       "      <td>wskj</td>\n",
       "      <td>0.119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>szse.300024</td>\n",
       "      <td>机器人</td>\n",
       "      <td>jqr</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>szse.300027</td>\n",
       "      <td>华谊兄弟</td>\n",
       "      <td>hyxd</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>szse.300033</td>\n",
       "      <td>同花顺</td>\n",
       "      <td>ths</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>szse.300059</td>\n",
       "      <td>东方财富</td>\n",
       "      <td>dfcf</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>szse.300070</td>\n",
       "      <td>碧水源</td>\n",
       "      <td>bsy</td>\n",
       "      <td>0.160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>szse.300072</td>\n",
       "      <td>三聚环保</td>\n",
       "      <td>sjhb</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>szse.300122</td>\n",
       "      <td>智飞生物</td>\n",
       "      <td>zfsw</td>\n",
       "      <td>0.179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>szse.300124</td>\n",
       "      <td>汇川技术</td>\n",
       "      <td>hcjs</td>\n",
       "      <td>0.232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>szse.300136</td>\n",
       "      <td>信维通信</td>\n",
       "      <td>xwtx</td>\n",
       "      <td>0.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>szse.300144</td>\n",
       "      <td>宋城演艺</td>\n",
       "      <td>scyy</td>\n",
       "      <td>0.160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>szse.300251</td>\n",
       "      <td>光线传媒</td>\n",
       "      <td>gxcm</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>szse.300408</td>\n",
       "      <td>三环集团</td>\n",
       "      <td>shjt</td>\n",
       "      <td>0.202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>szse.300433</td>\n",
       "      <td>蓝思科技</td>\n",
       "      <td>lskj</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>sse.600000</td>\n",
       "      <td>浦发银行</td>\n",
       "      <td>pfyh</td>\n",
       "      <td>1.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>sse.600008</td>\n",
       "      <td>首创股份</td>\n",
       "      <td>scgf</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>sse.600009</td>\n",
       "      <td>上海机场</td>\n",
       "      <td>shjc</td>\n",
       "      <td>0.498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>sse.600010</td>\n",
       "      <td>包钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>sse.600011</td>\n",
       "      <td>华能国际</td>\n",
       "      <td>hngj</td>\n",
       "      <td>0.283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>sse.600015</td>\n",
       "      <td>华夏银行</td>\n",
       "      <td>hxyh</td>\n",
       "      <td>0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>sse.600016</td>\n",
       "      <td>民生银行</td>\n",
       "      <td>msyh</td>\n",
       "      <td>1.889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>sse.600018</td>\n",
       "      <td>上港集团</td>\n",
       "      <td>sgjt</td>\n",
       "      <td>0.170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>sse.600019</td>\n",
       "      <td>宝钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>sse.600023</td>\n",
       "      <td>浙能电力</td>\n",
       "      <td>zndl</td>\n",
       "      <td>0.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>sse.600025</td>\n",
       "      <td>华能水电</td>\n",
       "      <td>hnsd</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>sse.600028</td>\n",
       "      <td>中国石化</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>sse.600029</td>\n",
       "      <td>南方航空</td>\n",
       "      <td>nfhk</td>\n",
       "      <td>0.218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>sse.600030</td>\n",
       "      <td>中信证券</td>\n",
       "      <td>zxzq</td>\n",
       "      <td>1.408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>sse.600031</td>\n",
       "      <td>三一重工</td>\n",
       "      <td>syzg</td>\n",
       "      <td>0.379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>sse.600036</td>\n",
       "      <td>招商银行</td>\n",
       "      <td>zsyh</td>\n",
       "      <td>3.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>sse.600038</td>\n",
       "      <td>中直股份</td>\n",
       "      <td>zzgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>sse.600048</td>\n",
       "      <td>保利地产</td>\n",
       "      <td>bldc</td>\n",
       "      <td>0.934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>sse.600050</td>\n",
       "      <td>中国联通</td>\n",
       "      <td>zglt</td>\n",
       "      <td>0.526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>sse.600061</td>\n",
       "      <td>国投资本</td>\n",
       "      <td>gtzb</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>sse.600066</td>\n",
       "      <td>宇通客车</td>\n",
       "      <td>ytkc</td>\n",
       "      <td>0.148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>sse.600068</td>\n",
       "      <td>葛洲坝</td>\n",
       "      <td>gzb</td>\n",
       "      <td>0.185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>sse.600085</td>\n",
       "      <td>同仁堂</td>\n",
       "      <td>trt</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>sse.600089</td>\n",
       "      <td>特变电工</td>\n",
       "      <td>tbdg</td>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>sse.600100</td>\n",
       "      <td>同方股份</td>\n",
       "      <td>tfgf</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>sse.600104</td>\n",
       "      <td>上汽集团</td>\n",
       "      <td>sqjt</td>\n",
       "      <td>0.990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>sse.600109</td>\n",
       "      <td>国金证券</td>\n",
       "      <td>gjzq</td>\n",
       "      <td>0.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>sse.600111</td>\n",
       "      <td>北方稀土</td>\n",
       "      <td>bfxt</td>\n",
       "      <td>0.239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>sse.600115</td>\n",
       "      <td>东方航空</td>\n",
       "      <td>dfhk</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>sse.600118</td>\n",
       "      <td>中国卫星</td>\n",
       "      <td>zgwx</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>sse.600153</td>\n",
       "      <td>建发股份</td>\n",
       "      <td>jfgf</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>sse.600157</td>\n",
       "      <td>永泰能源</td>\n",
       "      <td>ytny</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>sse.600170</td>\n",
       "      <td>上海建工</td>\n",
       "      <td>shjg</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>sse.600176</td>\n",
       "      <td>中国巨石</td>\n",
       "      <td>zgjs</td>\n",
       "      <td>0.206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>sse.600177</td>\n",
       "      <td>雅戈尔</td>\n",
       "      <td>yge</td>\n",
       "      <td>0.193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>sse.600188</td>\n",
       "      <td>兖州煤业</td>\n",
       "      <td>yzmy</td>\n",
       "      <td>0.095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>sse.600196</td>\n",
       "      <td>复星医药</td>\n",
       "      <td>fxyy</td>\n",
       "      <td>0.266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>sse.600208</td>\n",
       "      <td>新湖中宝</td>\n",
       "      <td>xhzb</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>sse.600219</td>\n",
       "      <td>南山铝业</td>\n",
       "      <td>nsly</td>\n",
       "      <td>0.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>sse.600221</td>\n",
       "      <td>海航控股</td>\n",
       "      <td>hhkg</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>sse.600233</td>\n",
       "      <td>圆通速递</td>\n",
       "      <td>ytsd</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>sse.600271</td>\n",
       "      <td>航天信息</td>\n",
       "      <td>htxx</td>\n",
       "      <td>0.274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>sse.600276</td>\n",
       "      <td>恒瑞医药</td>\n",
       "      <td>hryy</td>\n",
       "      <td>1.418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>sse.600297</td>\n",
       "      <td>广汇汽车</td>\n",
       "      <td>ghqc</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>sse.600309</td>\n",
       "      <td>万华化学</td>\n",
       "      <td>whhx</td>\n",
       "      <td>0.484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>sse.600332</td>\n",
       "      <td>白云山</td>\n",
       "      <td>bys</td>\n",
       "      <td>0.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>sse.600339</td>\n",
       "      <td>中油工程</td>\n",
       "      <td>zygc</td>\n",
       "      <td>0.083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>sse.600340</td>\n",
       "      <td>华夏幸福</td>\n",
       "      <td>hxxf</td>\n",
       "      <td>0.288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>sse.600346</td>\n",
       "      <td>恒力股份</td>\n",
       "      <td>hlgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>sse.600352</td>\n",
       "      <td>浙江龙盛</td>\n",
       "      <td>zjls</td>\n",
       "      <td>0.241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>sse.600362</td>\n",
       "      <td>江西铜业</td>\n",
       "      <td>jxty</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>sse.600369</td>\n",
       "      <td>西南证券</td>\n",
       "      <td>xnzq</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>sse.600372</td>\n",
       "      <td>中航电子</td>\n",
       "      <td>zhdz</td>\n",
       "      <td>0.075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>sse.600373</td>\n",
       "      <td>中文传媒</td>\n",
       "      <td>zwcm</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>sse.600376</td>\n",
       "      <td>首开股份</td>\n",
       "      <td>skgf</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>sse.600383</td>\n",
       "      <td>金地集团</td>\n",
       "      <td>jdjt</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>sse.600390</td>\n",
       "      <td>五矿资本</td>\n",
       "      <td>wkzb</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>sse.600398</td>\n",
       "      <td>海澜之家</td>\n",
       "      <td>hlzj</td>\n",
       "      <td>0.145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>sse.600406</td>\n",
       "      <td>国电南瑞</td>\n",
       "      <td>gdnr</td>\n",
       "      <td>0.332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>sse.600415</td>\n",
       "      <td>小商品城</td>\n",
       "      <td>xspc</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>sse.600436</td>\n",
       "      <td>片仔癀</td>\n",
       "      <td>pzh</td>\n",
       "      <td>0.244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>sse.600438</td>\n",
       "      <td>通威股份</td>\n",
       "      <td>twgf</td>\n",
       "      <td>0.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>sse.600482</td>\n",
       "      <td>中国动力</td>\n",
       "      <td>zgdl</td>\n",
       "      <td>0.188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>sse.600487</td>\n",
       "      <td>亨通光电</td>\n",
       "      <td>htgd</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>sse.600489</td>\n",
       "      <td>中金黄金</td>\n",
       "      <td>zjhj</td>\n",
       "      <td>0.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>sse.600498</td>\n",
       "      <td>烽火通信</td>\n",
       "      <td>fhtx</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>sse.600516</td>\n",
       "      <td>方大炭素</td>\n",
       "      <td>fdts</td>\n",
       "      <td>0.222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>sse.600518</td>\n",
       "      <td>康美药业</td>\n",
       "      <td>kmyy</td>\n",
       "      <td>0.384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>sse.600519</td>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>gzmt</td>\n",
       "      <td>2.875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>sse.600522</td>\n",
       "      <td>中天科技</td>\n",
       "      <td>ztkj</td>\n",
       "      <td>0.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>sse.600535</td>\n",
       "      <td>天士力</td>\n",
       "      <td>tsl</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>sse.600547</td>\n",
       "      <td>山东黄金</td>\n",
       "      <td>sdhj</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>sse.600549</td>\n",
       "      <td>厦门钨业</td>\n",
       "      <td>xmwy</td>\n",
       "      <td>0.121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>sse.600570</td>\n",
       "      <td>恒生电子</td>\n",
       "      <td>hsdz</td>\n",
       "      <td>0.241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>sse.600583</td>\n",
       "      <td>海油工程</td>\n",
       "      <td>hygc</td>\n",
       "      <td>0.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>sse.600585</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>hlsn</td>\n",
       "      <td>0.682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>sse.600588</td>\n",
       "      <td>用友网络</td>\n",
       "      <td>yywl</td>\n",
       "      <td>0.237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>sse.600606</td>\n",
       "      <td>绿地控股</td>\n",
       "      <td>ldkg</td>\n",
       "      <td>0.235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>sse.600637</td>\n",
       "      <td>东方明珠</td>\n",
       "      <td>dfmz</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>sse.600660</td>\n",
       "      <td>福耀玻璃</td>\n",
       "      <td>fybl</td>\n",
       "      <td>0.317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>sse.600663</td>\n",
       "      <td>陆家嘴</td>\n",
       "      <td>ljz</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>sse.600674</td>\n",
       "      <td>川投能源</td>\n",
       "      <td>ctny</td>\n",
       "      <td>0.185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>sse.600682</td>\n",
       "      <td>南京新百</td>\n",
       "      <td>njxb</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>sse.600688</td>\n",
       "      <td>上海石化</td>\n",
       "      <td>shsh</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>sse.600690</td>\n",
       "      <td>青岛海尔</td>\n",
       "      <td>qdhe</td>\n",
       "      <td>0.483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>sse.600703</td>\n",
       "      <td>三安光电</td>\n",
       "      <td>sagd</td>\n",
       "      <td>0.359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>sse.600704</td>\n",
       "      <td>物产中大</td>\n",
       "      <td>wczd</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>sse.600705</td>\n",
       "      <td>中航资本</td>\n",
       "      <td>zhzb</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>sse.600739</td>\n",
       "      <td>辽宁成大</td>\n",
       "      <td>lncd</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>sse.600741</td>\n",
       "      <td>华域汽车</td>\n",
       "      <td>hyqc</td>\n",
       "      <td>0.286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>sse.600795</td>\n",
       "      <td>国电电力</td>\n",
       "      <td>gddl</td>\n",
       "      <td>0.300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>sse.600804</td>\n",
       "      <td>鹏博士</td>\n",
       "      <td>pbs</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>sse.600809</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>sxfj</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>sse.600816</td>\n",
       "      <td>安信信托</td>\n",
       "      <td>axxt</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>sse.600820</td>\n",
       "      <td>隧道股份</td>\n",
       "      <td>sdgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>sse.600837</td>\n",
       "      <td>海通证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>sse.600867</td>\n",
       "      <td>通化东宝</td>\n",
       "      <td>thdb</td>\n",
       "      <td>0.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>sse.600886</td>\n",
       "      <td>国投电力</td>\n",
       "      <td>gtdl</td>\n",
       "      <td>0.302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>sse.600887</td>\n",
       "      <td>伊利股份</td>\n",
       "      <td>ylgf</td>\n",
       "      <td>1.399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>sse.600893</td>\n",
       "      <td>航发动力</td>\n",
       "      <td>hfdl</td>\n",
       "      <td>0.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>sse.600900</td>\n",
       "      <td>长江电力</td>\n",
       "      <td>cjdl</td>\n",
       "      <td>1.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>sse.600909</td>\n",
       "      <td>华安证券</td>\n",
       "      <td>hazq</td>\n",
       "      <td>0.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>sse.600919</td>\n",
       "      <td>江苏银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>sse.600926</td>\n",
       "      <td>杭州银行</td>\n",
       "      <td>hzyh</td>\n",
       "      <td>0.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>sse.600958</td>\n",
       "      <td>东方证券</td>\n",
       "      <td>dfzq</td>\n",
       "      <td>0.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>sse.600959</td>\n",
       "      <td>江苏有线</td>\n",
       "      <td>jsyx</td>\n",
       "      <td>0.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>sse.600977</td>\n",
       "      <td>中国电影</td>\n",
       "      <td>zgdy</td>\n",
       "      <td>0.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>sse.600999</td>\n",
       "      <td>招商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>sse.601006</td>\n",
       "      <td>大秦铁路</td>\n",
       "      <td>dqtl</td>\n",
       "      <td>0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>sse.601009</td>\n",
       "      <td>南京银行</td>\n",
       "      <td>njyh</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>sse.601012</td>\n",
       "      <td>隆基股份</td>\n",
       "      <td>ljgf</td>\n",
       "      <td>0.276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>sse.601018</td>\n",
       "      <td>宁波港</td>\n",
       "      <td>nbg</td>\n",
       "      <td>0.155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>sse.601021</td>\n",
       "      <td>春秋航空</td>\n",
       "      <td>cqhk</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>sse.601088</td>\n",
       "      <td>中国神华</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>sse.601099</td>\n",
       "      <td>太平洋</td>\n",
       "      <td>tpy</td>\n",
       "      <td>0.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>sse.601108</td>\n",
       "      <td>财通证券</td>\n",
       "      <td>ctzq</td>\n",
       "      <td>0.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>sse.601111</td>\n",
       "      <td>中国国航</td>\n",
       "      <td>zggh</td>\n",
       "      <td>0.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>sse.601117</td>\n",
       "      <td>中国化学</td>\n",
       "      <td>zghx</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>sse.601155</td>\n",
       "      <td>新城控股</td>\n",
       "      <td>xckg</td>\n",
       "      <td>0.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>sse.601166</td>\n",
       "      <td>兴业银行</td>\n",
       "      <td>xyyh</td>\n",
       "      <td>2.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>sse.601169</td>\n",
       "      <td>北京银行</td>\n",
       "      <td>bjyh</td>\n",
       "      <td>0.938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>sse.601186</td>\n",
       "      <td>中国铁建</td>\n",
       "      <td>zgtj</td>\n",
       "      <td>0.528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>sse.601198</td>\n",
       "      <td>东兴证券</td>\n",
       "      <td>dxzq</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>sse.601211</td>\n",
       "      <td>国泰君安</td>\n",
       "      <td>gtja</td>\n",
       "      <td>0.597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>sse.601212</td>\n",
       "      <td>白银有色</td>\n",
       "      <td>byys</td>\n",
       "      <td>0.029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>sse.601216</td>\n",
       "      <td>君正集团</td>\n",
       "      <td>jzjt</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>sse.601225</td>\n",
       "      <td>陕西煤业</td>\n",
       "      <td>sxmy</td>\n",
       "      <td>0.356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>sse.601228</td>\n",
       "      <td>广州港</td>\n",
       "      <td>gzg</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>sse.601229</td>\n",
       "      <td>上海银行</td>\n",
       "      <td>shyh</td>\n",
       "      <td>0.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>sse.601238</td>\n",
       "      <td>广汽集团</td>\n",
       "      <td>gqjt</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>sse.601288</td>\n",
       "      <td>农业银行</td>\n",
       "      <td>nyyh</td>\n",
       "      <td>1.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>sse.601318</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>zgpa</td>\n",
       "      <td>7.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>sse.601328</td>\n",
       "      <td>交通银行</td>\n",
       "      <td>jtyh</td>\n",
       "      <td>1.718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>sse.601333</td>\n",
       "      <td>广深铁路</td>\n",
       "      <td>gstl</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>sse.601336</td>\n",
       "      <td>新华保险</td>\n",
       "      <td>xhbx</td>\n",
       "      <td>0.407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>sse.601360</td>\n",
       "      <td>三六零</td>\n",
       "      <td>sll</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>sse.601377</td>\n",
       "      <td>兴业证券</td>\n",
       "      <td>xyzq</td>\n",
       "      <td>0.237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>sse.601390</td>\n",
       "      <td>中国中铁</td>\n",
       "      <td>zgzt</td>\n",
       "      <td>0.431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>sse.601398</td>\n",
       "      <td>工商银行</td>\n",
       "      <td>gsyh</td>\n",
       "      <td>1.266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>sse.601555</td>\n",
       "      <td>东吴证券</td>\n",
       "      <td>dwzq</td>\n",
       "      <td>0.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>sse.601600</td>\n",
       "      <td>中国铝业</td>\n",
       "      <td>zgly</td>\n",
       "      <td>0.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>sse.601601</td>\n",
       "      <td>中国太保</td>\n",
       "      <td>zgtb</td>\n",
       "      <td>1.103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>sse.601607</td>\n",
       "      <td>上海医药</td>\n",
       "      <td>shyy</td>\n",
       "      <td>0.238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>sse.601611</td>\n",
       "      <td>中国核建</td>\n",
       "      <td>zghj</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>sse.601618</td>\n",
       "      <td>中国中冶</td>\n",
       "      <td>zgzy</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>sse.601628</td>\n",
       "      <td>中国人寿</td>\n",
       "      <td>zgrs</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>sse.601633</td>\n",
       "      <td>长城汽车</td>\n",
       "      <td>ccqc</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>sse.601668</td>\n",
       "      <td>中国建筑</td>\n",
       "      <td>zgjz</td>\n",
       "      <td>1.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>sse.601669</td>\n",
       "      <td>中国电建</td>\n",
       "      <td>zgdj</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>sse.601688</td>\n",
       "      <td>华泰证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>sse.601718</td>\n",
       "      <td>际华集团</td>\n",
       "      <td>jhjt</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>sse.601727</td>\n",
       "      <td>上海电气</td>\n",
       "      <td>shdq</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>sse.601766</td>\n",
       "      <td>中国中车</td>\n",
       "      <td>zgzc</td>\n",
       "      <td>0.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>sse.601788</td>\n",
       "      <td>光大证券</td>\n",
       "      <td>gdzq</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>sse.601800</td>\n",
       "      <td>中国交建</td>\n",
       "      <td>zgjj</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>sse.601808</td>\n",
       "      <td>中海油服</td>\n",
       "      <td>zhyf</td>\n",
       "      <td>0.061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>sse.601818</td>\n",
       "      <td>光大银行</td>\n",
       "      <td>gdyh</td>\n",
       "      <td>0.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>sse.601828</td>\n",
       "      <td>美凯龙</td>\n",
       "      <td>mkl</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>sse.601838</td>\n",
       "      <td>成都银行</td>\n",
       "      <td>cdyh</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>sse.601857</td>\n",
       "      <td>中国石油</td>\n",
       "      <td>zgsy</td>\n",
       "      <td>0.561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>sse.601866</td>\n",
       "      <td>中远海发</td>\n",
       "      <td>zyhf</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>sse.601877</td>\n",
       "      <td>正泰电器</td>\n",
       "      <td>ztdq</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>sse.601878</td>\n",
       "      <td>浙商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>sse.601881</td>\n",
       "      <td>中国银河</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>sse.601888</td>\n",
       "      <td>中国国旅</td>\n",
       "      <td>zggl</td>\n",
       "      <td>0.546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>sse.601898</td>\n",
       "      <td>中煤能源</td>\n",
       "      <td>zmny</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>sse.601899</td>\n",
       "      <td>紫金矿业</td>\n",
       "      <td>zjky</td>\n",
       "      <td>0.370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>sse.601901</td>\n",
       "      <td>方正证券</td>\n",
       "      <td>fzzq</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>sse.601919</td>\n",
       "      <td>中远海控</td>\n",
       "      <td>zyhk</td>\n",
       "      <td>0.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>sse.601933</td>\n",
       "      <td>永辉超市</td>\n",
       "      <td>yhcs</td>\n",
       "      <td>0.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>sse.601939</td>\n",
       "      <td>建设银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>sse.601958</td>\n",
       "      <td>金钼股份</td>\n",
       "      <td>jmgf</td>\n",
       "      <td>0.063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>sse.601985</td>\n",
       "      <td>中国核电</td>\n",
       "      <td>zghd</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>sse.601988</td>\n",
       "      <td>中国银行</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>sse.601989</td>\n",
       "      <td>中国重工</td>\n",
       "      <td>zgzg</td>\n",
       "      <td>0.398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>sse.601991</td>\n",
       "      <td>大唐发电</td>\n",
       "      <td>dtfd</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>sse.601992</td>\n",
       "      <td>金隅集团</td>\n",
       "      <td>jyjt</td>\n",
       "      <td>0.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>sse.601997</td>\n",
       "      <td>贵阳银行</td>\n",
       "      <td>gyyh</td>\n",
       "      <td>0.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>sse.601998</td>\n",
       "      <td>中信银行</td>\n",
       "      <td>zxyh</td>\n",
       "      <td>0.189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>sse.603160</td>\n",
       "      <td>汇顶科技</td>\n",
       "      <td>hdkj</td>\n",
       "      <td>0.076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>sse.603260</td>\n",
       "      <td>合盛硅业</td>\n",
       "      <td>hsgy</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>sse.603288</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>htwy</td>\n",
       "      <td>0.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>sse.603799</td>\n",
       "      <td>华友钴业</td>\n",
       "      <td>hygy</td>\n",
       "      <td>0.175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>sse.603833</td>\n",
       "      <td>欧派家居</td>\n",
       "      <td>opjj</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>sse.603858</td>\n",
       "      <td>步长制药</td>\n",
       "      <td>bczy</td>\n",
       "      <td>0.126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>sse.603993</td>\n",
       "      <td>洛阳钼业</td>\n",
       "      <td>lymy</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>payh</td>\n",
       "      <td>0.976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td>wkA</td>\n",
       "      <td>1.228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000060</td>\n",
       "      <td>中金岭南</td>\n",
       "      <td>zjln</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>中兴通讯</td>\n",
       "      <td>zxtx</td>\n",
       "      <td>0.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>华侨城A</td>\n",
       "      <td>hqcA</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>TCL集团</td>\n",
       "      <td>TCLjt</td>\n",
       "      <td>0.279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000157</td>\n",
       "      <td>中联重科</td>\n",
       "      <td>zlzk</td>\n",
       "      <td>0.156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000166</td>\n",
       "      <td>申万宏源</td>\n",
       "      <td>swhy</td>\n",
       "      <td>0.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000333</td>\n",
       "      <td>美的集团</td>\n",
       "      <td>mdjt</td>\n",
       "      <td>1.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000338</td>\n",
       "      <td>潍柴动力</td>\n",
       "      <td>wcdl</td>\n",
       "      <td>0.376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>szse.000402</td>\n",
       "      <td>金融街</td>\n",
       "      <td>jrj</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>szse.000413</td>\n",
       "      <td>东旭光电</td>\n",
       "      <td>dxgd</td>\n",
       "      <td>0.188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>szse.000415</td>\n",
       "      <td>渤海租赁</td>\n",
       "      <td>bhzl</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>szse.000423</td>\n",
       "      <td>东阿阿胶</td>\n",
       "      <td>daaj</td>\n",
       "      <td>0.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>szse.000425</td>\n",
       "      <td>徐工机械</td>\n",
       "      <td>xgjx</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>szse.000503</td>\n",
       "      <td>国新健康</td>\n",
       "      <td>gxjk</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>szse.000538</td>\n",
       "      <td>云南白药</td>\n",
       "      <td>ynby</td>\n",
       "      <td>0.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>szse.000540</td>\n",
       "      <td>中天金融</td>\n",
       "      <td>ztjr</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>szse.000559</td>\n",
       "      <td>万向钱潮</td>\n",
       "      <td>wxqc</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>szse.000568</td>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>lzlj</td>\n",
       "      <td>0.291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>szse.000623</td>\n",
       "      <td>吉林敖东</td>\n",
       "      <td>jlad</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>szse.000625</td>\n",
       "      <td>长安汽车</td>\n",
       "      <td>caqc</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>szse.000627</td>\n",
       "      <td>天茂集团</td>\n",
       "      <td>tmjt</td>\n",
       "      <td>0.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>szse.000630</td>\n",
       "      <td>铜陵有色</td>\n",
       "      <td>tlys</td>\n",
       "      <td>0.138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>szse.000651</td>\n",
       "      <td>格力电器</td>\n",
       "      <td>gldq</td>\n",
       "      <td>1.909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>szse.000671</td>\n",
       "      <td>阳光城</td>\n",
       "      <td>ygc</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>szse.000709</td>\n",
       "      <td>河钢股份</td>\n",
       "      <td>hggf</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>szse.000723</td>\n",
       "      <td>美锦能源</td>\n",
       "      <td>mjny</td>\n",
       "      <td>0.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>szse.000725</td>\n",
       "      <td>京东方A</td>\n",
       "      <td>jdfA</td>\n",
       "      <td>0.679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>szse.000728</td>\n",
       "      <td>国元证券</td>\n",
       "      <td>gyzq</td>\n",
       "      <td>0.152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>szse.000768</td>\n",
       "      <td>中航飞机</td>\n",
       "      <td>zhfj</td>\n",
       "      <td>0.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>szse.000776</td>\n",
       "      <td>广发证券</td>\n",
       "      <td>gfzq</td>\n",
       "      <td>0.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>szse.000783</td>\n",
       "      <td>长江证券</td>\n",
       "      <td>cjzq</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>szse.000786</td>\n",
       "      <td>北新建材</td>\n",
       "      <td>bxjc</td>\n",
       "      <td>0.123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>szse.000792</td>\n",
       "      <td>盐湖股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>szse.000826</td>\n",
       "      <td>启迪桑德</td>\n",
       "      <td>qdsd</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>szse.000839</td>\n",
       "      <td>中信国安</td>\n",
       "      <td>zxga</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>szse.000858</td>\n",
       "      <td>五粮液</td>\n",
       "      <td>wly</td>\n",
       "      <td>0.974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>szse.000876</td>\n",
       "      <td>新希望</td>\n",
       "      <td>xxw</td>\n",
       "      <td>0.131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>szse.000895</td>\n",
       "      <td>双汇发展</td>\n",
       "      <td>shfz</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>szse.000898</td>\n",
       "      <td>鞍钢股份</td>\n",
       "      <td>aggf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>szse.000938</td>\n",
       "      <td>紫光股份</td>\n",
       "      <td>zggf</td>\n",
       "      <td>0.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>szse.000959</td>\n",
       "      <td>首钢股份</td>\n",
       "      <td>sggf</td>\n",
       "      <td>0.068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>szse.000961</td>\n",
       "      <td>中南建设</td>\n",
       "      <td>znjs</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>szse.000963</td>\n",
       "      <td>华东医药</td>\n",
       "      <td>hdyy</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>szse.000983</td>\n",
       "      <td>西山煤电</td>\n",
       "      <td>xsmd</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>szse.001965</td>\n",
       "      <td>招商公路</td>\n",
       "      <td>zsgl</td>\n",
       "      <td>0.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>szse.001979</td>\n",
       "      <td>招商蛇口</td>\n",
       "      <td>zssk</td>\n",
       "      <td>0.465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>szse.002007</td>\n",
       "      <td>华兰生物</td>\n",
       "      <td>hlsw</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>szse.002008</td>\n",
       "      <td>大族激光</td>\n",
       "      <td>dzjg</td>\n",
       "      <td>0.279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>szse.002024</td>\n",
       "      <td>苏宁易购</td>\n",
       "      <td>snyg</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>szse.002027</td>\n",
       "      <td>分众传媒</td>\n",
       "      <td>fzcm</td>\n",
       "      <td>0.459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>szse.002044</td>\n",
       "      <td>美年健康</td>\n",
       "      <td>mnjk</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>szse.002050</td>\n",
       "      <td>三花智控</td>\n",
       "      <td>shzk</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>szse.002065</td>\n",
       "      <td>东华软件</td>\n",
       "      <td>dhrj</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>szse.002074</td>\n",
       "      <td>国轩高科</td>\n",
       "      <td>gxgk</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>szse.002081</td>\n",
       "      <td>金螳螂</td>\n",
       "      <td>jtl</td>\n",
       "      <td>0.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>szse.002085</td>\n",
       "      <td>万丰奥威</td>\n",
       "      <td>wfaw</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>szse.002142</td>\n",
       "      <td>宁波银行</td>\n",
       "      <td>nbyh</td>\n",
       "      <td>0.465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>szse.002146</td>\n",
       "      <td>荣盛发展</td>\n",
       "      <td>rsfz</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>szse.002153</td>\n",
       "      <td>石基信息</td>\n",
       "      <td>sjxx</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>szse.002202</td>\n",
       "      <td>金风科技</td>\n",
       "      <td>jfkj</td>\n",
       "      <td>0.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>szse.002230</td>\n",
       "      <td>科大讯飞</td>\n",
       "      <td>kdxf</td>\n",
       "      <td>0.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>szse.002236</td>\n",
       "      <td>大华股份</td>\n",
       "      <td>dhgf</td>\n",
       "      <td>0.209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>szse.002241</td>\n",
       "      <td>歌尔股份</td>\n",
       "      <td>gegf</td>\n",
       "      <td>0.148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>szse.002252</td>\n",
       "      <td>上海莱士</td>\n",
       "      <td>shls</td>\n",
       "      <td>0.304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>szse.002294</td>\n",
       "      <td>信立泰</td>\n",
       "      <td>xlt</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>szse.002304</td>\n",
       "      <td>洋河股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>szse.002310</td>\n",
       "      <td>东方园林</td>\n",
       "      <td>dfyl</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>szse.002352</td>\n",
       "      <td>顺丰控股</td>\n",
       "      <td>sfkg</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>szse.002385</td>\n",
       "      <td>大北农</td>\n",
       "      <td>dbn</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>szse.002411</td>\n",
       "      <td>延安必康</td>\n",
       "      <td>yabk</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>szse.002415</td>\n",
       "      <td>海康威视</td>\n",
       "      <td>hkws</td>\n",
       "      <td>0.931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>szse.002450</td>\n",
       "      <td>ST康得新</td>\n",
       "      <td>STkdx</td>\n",
       "      <td>0.375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>szse.002456</td>\n",
       "      <td>欧菲光</td>\n",
       "      <td>ofg</td>\n",
       "      <td>0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>szse.002460</td>\n",
       "      <td>赣锋锂业</td>\n",
       "      <td>gfly</td>\n",
       "      <td>0.192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>szse.002466</td>\n",
       "      <td>天齐锂业</td>\n",
       "      <td>tqly</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>szse.002468</td>\n",
       "      <td>申通快递</td>\n",
       "      <td>stkd</td>\n",
       "      <td>0.058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>szse.002470</td>\n",
       "      <td>金正大</td>\n",
       "      <td>jzd</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>szse.002475</td>\n",
       "      <td>立讯精密</td>\n",
       "      <td>lxjm</td>\n",
       "      <td>0.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>szse.002493</td>\n",
       "      <td>荣盛石化</td>\n",
       "      <td>rssh</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>szse.002500</td>\n",
       "      <td>山西证券</td>\n",
       "      <td>sxzq</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>szse.002508</td>\n",
       "      <td>老板电器</td>\n",
       "      <td>lbdq</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>szse.002555</td>\n",
       "      <td>三七互娱</td>\n",
       "      <td>sqhy</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>szse.002558</td>\n",
       "      <td>巨人网络</td>\n",
       "      <td>jrwl</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>szse.002572</td>\n",
       "      <td>索菲亚</td>\n",
       "      <td>sfy</td>\n",
       "      <td>0.121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>szse.002594</td>\n",
       "      <td>比亚迪</td>\n",
       "      <td>byd</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>szse.002601</td>\n",
       "      <td>龙蟒佰利</td>\n",
       "      <td>lmbl</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>szse.002602</td>\n",
       "      <td>世纪华通</td>\n",
       "      <td>sjht</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>szse.002608</td>\n",
       "      <td>江苏国信</td>\n",
       "      <td>jsgx</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>szse.002624</td>\n",
       "      <td>完美世界</td>\n",
       "      <td>wmsj</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>szse.002625</td>\n",
       "      <td>光启技术</td>\n",
       "      <td>gqjs</td>\n",
       "      <td>0.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>szse.002673</td>\n",
       "      <td>西部证券</td>\n",
       "      <td>xbzq</td>\n",
       "      <td>0.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>szse.002714</td>\n",
       "      <td>牧原股份</td>\n",
       "      <td>mygf</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>szse.002736</td>\n",
       "      <td>国信证券</td>\n",
       "      <td>gxzq</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>szse.002739</td>\n",
       "      <td>万达电影</td>\n",
       "      <td>wddy</td>\n",
       "      <td>0.254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>szse.002797</td>\n",
       "      <td>第一创业</td>\n",
       "      <td>dycy</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>szse.002925</td>\n",
       "      <td>盈趣科技</td>\n",
       "      <td>yqkj</td>\n",
       "      <td>0.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>szse.300003</td>\n",
       "      <td>乐普医疗</td>\n",
       "      <td>lpyl</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>szse.300015</td>\n",
       "      <td>爱尔眼科</td>\n",
       "      <td>aeyk</td>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>szse.300017</td>\n",
       "      <td>网宿科技</td>\n",
       "      <td>wskj</td>\n",
       "      <td>0.119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>szse.300024</td>\n",
       "      <td>机器人</td>\n",
       "      <td>jqr</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>szse.300027</td>\n",
       "      <td>华谊兄弟</td>\n",
       "      <td>hyxd</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>szse.300033</td>\n",
       "      <td>同花顺</td>\n",
       "      <td>ths</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>szse.300059</td>\n",
       "      <td>东方财富</td>\n",
       "      <td>dfcf</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>szse.300070</td>\n",
       "      <td>碧水源</td>\n",
       "      <td>bsy</td>\n",
       "      <td>0.160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>szse.300072</td>\n",
       "      <td>三聚环保</td>\n",
       "      <td>sjhb</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>szse.300122</td>\n",
       "      <td>智飞生物</td>\n",
       "      <td>zfsw</td>\n",
       "      <td>0.179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>szse.300124</td>\n",
       "      <td>汇川技术</td>\n",
       "      <td>hcjs</td>\n",
       "      <td>0.232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>szse.300136</td>\n",
       "      <td>信维通信</td>\n",
       "      <td>xwtx</td>\n",
       "      <td>0.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>szse.300144</td>\n",
       "      <td>宋城演艺</td>\n",
       "      <td>scyy</td>\n",
       "      <td>0.160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>szse.300251</td>\n",
       "      <td>光线传媒</td>\n",
       "      <td>gxcm</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>szse.300408</td>\n",
       "      <td>三环集团</td>\n",
       "      <td>shjt</td>\n",
       "      <td>0.202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>szse.300433</td>\n",
       "      <td>蓝思科技</td>\n",
       "      <td>lskj</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>sse.600000</td>\n",
       "      <td>浦发银行</td>\n",
       "      <td>pfyh</td>\n",
       "      <td>1.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>sse.600008</td>\n",
       "      <td>首创股份</td>\n",
       "      <td>scgf</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>sse.600009</td>\n",
       "      <td>上海机场</td>\n",
       "      <td>shjc</td>\n",
       "      <td>0.498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>sse.600010</td>\n",
       "      <td>包钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>sse.600011</td>\n",
       "      <td>华能国际</td>\n",
       "      <td>hngj</td>\n",
       "      <td>0.283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>sse.600015</td>\n",
       "      <td>华夏银行</td>\n",
       "      <td>hxyh</td>\n",
       "      <td>0.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>sse.600016</td>\n",
       "      <td>民生银行</td>\n",
       "      <td>msyh</td>\n",
       "      <td>1.889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>sse.600018</td>\n",
       "      <td>上港集团</td>\n",
       "      <td>sgjt</td>\n",
       "      <td>0.170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>sse.600019</td>\n",
       "      <td>宝钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>sse.600023</td>\n",
       "      <td>浙能电力</td>\n",
       "      <td>zndl</td>\n",
       "      <td>0.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>sse.600025</td>\n",
       "      <td>华能水电</td>\n",
       "      <td>hnsd</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>sse.600028</td>\n",
       "      <td>中国石化</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>sse.600029</td>\n",
       "      <td>南方航空</td>\n",
       "      <td>nfhk</td>\n",
       "      <td>0.218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>sse.600030</td>\n",
       "      <td>中信证券</td>\n",
       "      <td>zxzq</td>\n",
       "      <td>1.408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>sse.600031</td>\n",
       "      <td>三一重工</td>\n",
       "      <td>syzg</td>\n",
       "      <td>0.379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>sse.600036</td>\n",
       "      <td>招商银行</td>\n",
       "      <td>zsyh</td>\n",
       "      <td>3.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>sse.600038</td>\n",
       "      <td>中直股份</td>\n",
       "      <td>zzgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>sse.600048</td>\n",
       "      <td>保利地产</td>\n",
       "      <td>bldc</td>\n",
       "      <td>0.934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>sse.600050</td>\n",
       "      <td>中国联通</td>\n",
       "      <td>zglt</td>\n",
       "      <td>0.526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>sse.600061</td>\n",
       "      <td>国投资本</td>\n",
       "      <td>gtzb</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>sse.600066</td>\n",
       "      <td>宇通客车</td>\n",
       "      <td>ytkc</td>\n",
       "      <td>0.148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>sse.600068</td>\n",
       "      <td>葛洲坝</td>\n",
       "      <td>gzb</td>\n",
       "      <td>0.185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>sse.600085</td>\n",
       "      <td>同仁堂</td>\n",
       "      <td>trt</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>sse.600089</td>\n",
       "      <td>特变电工</td>\n",
       "      <td>tbdg</td>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>sse.600100</td>\n",
       "      <td>同方股份</td>\n",
       "      <td>tfgf</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>sse.600104</td>\n",
       "      <td>上汽集团</td>\n",
       "      <td>sqjt</td>\n",
       "      <td>0.990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>sse.600109</td>\n",
       "      <td>国金证券</td>\n",
       "      <td>gjzq</td>\n",
       "      <td>0.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>sse.600111</td>\n",
       "      <td>北方稀土</td>\n",
       "      <td>bfxt</td>\n",
       "      <td>0.239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>sse.600115</td>\n",
       "      <td>东方航空</td>\n",
       "      <td>dfhk</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>sse.600118</td>\n",
       "      <td>中国卫星</td>\n",
       "      <td>zgwx</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>sse.600153</td>\n",
       "      <td>建发股份</td>\n",
       "      <td>jfgf</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>sse.600157</td>\n",
       "      <td>永泰能源</td>\n",
       "      <td>ytny</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>sse.600170</td>\n",
       "      <td>上海建工</td>\n",
       "      <td>shjg</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>sse.600176</td>\n",
       "      <td>中国巨石</td>\n",
       "      <td>zgjs</td>\n",
       "      <td>0.206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>sse.600177</td>\n",
       "      <td>雅戈尔</td>\n",
       "      <td>yge</td>\n",
       "      <td>0.193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>sse.600188</td>\n",
       "      <td>兖州煤业</td>\n",
       "      <td>yzmy</td>\n",
       "      <td>0.095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>sse.600196</td>\n",
       "      <td>复星医药</td>\n",
       "      <td>fxyy</td>\n",
       "      <td>0.266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>sse.600208</td>\n",
       "      <td>新湖中宝</td>\n",
       "      <td>xhzb</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>sse.600219</td>\n",
       "      <td>南山铝业</td>\n",
       "      <td>nsly</td>\n",
       "      <td>0.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>sse.600221</td>\n",
       "      <td>海航控股</td>\n",
       "      <td>hhkg</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>sse.600233</td>\n",
       "      <td>圆通速递</td>\n",
       "      <td>ytsd</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>sse.600271</td>\n",
       "      <td>航天信息</td>\n",
       "      <td>htxx</td>\n",
       "      <td>0.274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>sse.600276</td>\n",
       "      <td>恒瑞医药</td>\n",
       "      <td>hryy</td>\n",
       "      <td>1.418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>sse.600297</td>\n",
       "      <td>广汇汽车</td>\n",
       "      <td>ghqc</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>sse.600309</td>\n",
       "      <td>万华化学</td>\n",
       "      <td>whhx</td>\n",
       "      <td>0.484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>sse.600332</td>\n",
       "      <td>白云山</td>\n",
       "      <td>bys</td>\n",
       "      <td>0.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>sse.600339</td>\n",
       "      <td>中油工程</td>\n",
       "      <td>zygc</td>\n",
       "      <td>0.083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>sse.600340</td>\n",
       "      <td>华夏幸福</td>\n",
       "      <td>hxxf</td>\n",
       "      <td>0.288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>sse.600346</td>\n",
       "      <td>恒力股份</td>\n",
       "      <td>hlgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>sse.600352</td>\n",
       "      <td>浙江龙盛</td>\n",
       "      <td>zjls</td>\n",
       "      <td>0.241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>sse.600362</td>\n",
       "      <td>江西铜业</td>\n",
       "      <td>jxty</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>sse.600369</td>\n",
       "      <td>西南证券</td>\n",
       "      <td>xnzq</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>sse.600372</td>\n",
       "      <td>中航电子</td>\n",
       "      <td>zhdz</td>\n",
       "      <td>0.075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>sse.600373</td>\n",
       "      <td>中文传媒</td>\n",
       "      <td>zwcm</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>sse.600376</td>\n",
       "      <td>首开股份</td>\n",
       "      <td>skgf</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>sse.600383</td>\n",
       "      <td>金地集团</td>\n",
       "      <td>jdjt</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>sse.600390</td>\n",
       "      <td>五矿资本</td>\n",
       "      <td>wkzb</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>sse.600398</td>\n",
       "      <td>海澜之家</td>\n",
       "      <td>hlzj</td>\n",
       "      <td>0.145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>sse.600406</td>\n",
       "      <td>国电南瑞</td>\n",
       "      <td>gdnr</td>\n",
       "      <td>0.332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>sse.600415</td>\n",
       "      <td>小商品城</td>\n",
       "      <td>xspc</td>\n",
       "      <td>0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>sse.600436</td>\n",
       "      <td>片仔癀</td>\n",
       "      <td>pzh</td>\n",
       "      <td>0.244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>sse.600438</td>\n",
       "      <td>通威股份</td>\n",
       "      <td>twgf</td>\n",
       "      <td>0.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>sse.600482</td>\n",
       "      <td>中国动力</td>\n",
       "      <td>zgdl</td>\n",
       "      <td>0.188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>sse.600487</td>\n",
       "      <td>亨通光电</td>\n",
       "      <td>htgd</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>sse.600489</td>\n",
       "      <td>中金黄金</td>\n",
       "      <td>zjhj</td>\n",
       "      <td>0.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>sse.600498</td>\n",
       "      <td>烽火通信</td>\n",
       "      <td>fhtx</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>sse.600516</td>\n",
       "      <td>方大炭素</td>\n",
       "      <td>fdts</td>\n",
       "      <td>0.222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>sse.600518</td>\n",
       "      <td>康美药业</td>\n",
       "      <td>kmyy</td>\n",
       "      <td>0.384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>sse.600519</td>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>gzmt</td>\n",
       "      <td>2.875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>sse.600522</td>\n",
       "      <td>中天科技</td>\n",
       "      <td>ztkj</td>\n",
       "      <td>0.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>sse.600535</td>\n",
       "      <td>天士力</td>\n",
       "      <td>tsl</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>sse.600547</td>\n",
       "      <td>山东黄金</td>\n",
       "      <td>sdhj</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>sse.600549</td>\n",
       "      <td>厦门钨业</td>\n",
       "      <td>xmwy</td>\n",
       "      <td>0.121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>sse.600570</td>\n",
       "      <td>恒生电子</td>\n",
       "      <td>hsdz</td>\n",
       "      <td>0.241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>sse.600583</td>\n",
       "      <td>海油工程</td>\n",
       "      <td>hygc</td>\n",
       "      <td>0.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>sse.600585</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>hlsn</td>\n",
       "      <td>0.682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>sse.600588</td>\n",
       "      <td>用友网络</td>\n",
       "      <td>yywl</td>\n",
       "      <td>0.237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>sse.600606</td>\n",
       "      <td>绿地控股</td>\n",
       "      <td>ldkg</td>\n",
       "      <td>0.235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>sse.600637</td>\n",
       "      <td>东方明珠</td>\n",
       "      <td>dfmz</td>\n",
       "      <td>0.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>sse.600660</td>\n",
       "      <td>福耀玻璃</td>\n",
       "      <td>fybl</td>\n",
       "      <td>0.317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>sse.600663</td>\n",
       "      <td>陆家嘴</td>\n",
       "      <td>ljz</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>sse.600674</td>\n",
       "      <td>川投能源</td>\n",
       "      <td>ctny</td>\n",
       "      <td>0.185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>sse.600682</td>\n",
       "      <td>南京新百</td>\n",
       "      <td>njxb</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>sse.600688</td>\n",
       "      <td>上海石化</td>\n",
       "      <td>shsh</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>sse.600690</td>\n",
       "      <td>青岛海尔</td>\n",
       "      <td>qdhe</td>\n",
       "      <td>0.483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>sse.600703</td>\n",
       "      <td>三安光电</td>\n",
       "      <td>sagd</td>\n",
       "      <td>0.359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>sse.600704</td>\n",
       "      <td>物产中大</td>\n",
       "      <td>wczd</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>sse.600705</td>\n",
       "      <td>中航资本</td>\n",
       "      <td>zhzb</td>\n",
       "      <td>0.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>sse.600739</td>\n",
       "      <td>辽宁成大</td>\n",
       "      <td>lncd</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>sse.600741</td>\n",
       "      <td>华域汽车</td>\n",
       "      <td>hyqc</td>\n",
       "      <td>0.286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>sse.600795</td>\n",
       "      <td>国电电力</td>\n",
       "      <td>gddl</td>\n",
       "      <td>0.300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>sse.600804</td>\n",
       "      <td>鹏博士</td>\n",
       "      <td>pbs</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>sse.600809</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>sxfj</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>sse.600816</td>\n",
       "      <td>安信信托</td>\n",
       "      <td>axxt</td>\n",
       "      <td>0.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>sse.600820</td>\n",
       "      <td>隧道股份</td>\n",
       "      <td>sdgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>sse.600837</td>\n",
       "      <td>海通证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>sse.600867</td>\n",
       "      <td>通化东宝</td>\n",
       "      <td>thdb</td>\n",
       "      <td>0.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>sse.600886</td>\n",
       "      <td>国投电力</td>\n",
       "      <td>gtdl</td>\n",
       "      <td>0.302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>sse.600887</td>\n",
       "      <td>伊利股份</td>\n",
       "      <td>ylgf</td>\n",
       "      <td>1.399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>sse.600893</td>\n",
       "      <td>航发动力</td>\n",
       "      <td>hfdl</td>\n",
       "      <td>0.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>sse.600900</td>\n",
       "      <td>长江电力</td>\n",
       "      <td>cjdl</td>\n",
       "      <td>1.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>sse.600909</td>\n",
       "      <td>华安证券</td>\n",
       "      <td>hazq</td>\n",
       "      <td>0.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>sse.600919</td>\n",
       "      <td>江苏银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>sse.600926</td>\n",
       "      <td>杭州银行</td>\n",
       "      <td>hzyh</td>\n",
       "      <td>0.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>sse.600958</td>\n",
       "      <td>东方证券</td>\n",
       "      <td>dfzq</td>\n",
       "      <td>0.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>sse.600959</td>\n",
       "      <td>江苏有线</td>\n",
       "      <td>jsyx</td>\n",
       "      <td>0.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>sse.600977</td>\n",
       "      <td>中国电影</td>\n",
       "      <td>zgdy</td>\n",
       "      <td>0.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>sse.600999</td>\n",
       "      <td>招商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>sse.601006</td>\n",
       "      <td>大秦铁路</td>\n",
       "      <td>dqtl</td>\n",
       "      <td>0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>sse.601009</td>\n",
       "      <td>南京银行</td>\n",
       "      <td>njyh</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>sse.601012</td>\n",
       "      <td>隆基股份</td>\n",
       "      <td>ljgf</td>\n",
       "      <td>0.276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>sse.601018</td>\n",
       "      <td>宁波港</td>\n",
       "      <td>nbg</td>\n",
       "      <td>0.155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>sse.601021</td>\n",
       "      <td>春秋航空</td>\n",
       "      <td>cqhk</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>sse.601088</td>\n",
       "      <td>中国神华</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>sse.601099</td>\n",
       "      <td>太平洋</td>\n",
       "      <td>tpy</td>\n",
       "      <td>0.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>sse.601108</td>\n",
       "      <td>财通证券</td>\n",
       "      <td>ctzq</td>\n",
       "      <td>0.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>sse.601111</td>\n",
       "      <td>中国国航</td>\n",
       "      <td>zggh</td>\n",
       "      <td>0.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>sse.601117</td>\n",
       "      <td>中国化学</td>\n",
       "      <td>zghx</td>\n",
       "      <td>0.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>sse.601155</td>\n",
       "      <td>新城控股</td>\n",
       "      <td>xckg</td>\n",
       "      <td>0.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>sse.601166</td>\n",
       "      <td>兴业银行</td>\n",
       "      <td>xyyh</td>\n",
       "      <td>2.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>sse.601169</td>\n",
       "      <td>北京银行</td>\n",
       "      <td>bjyh</td>\n",
       "      <td>0.938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>sse.601186</td>\n",
       "      <td>中国铁建</td>\n",
       "      <td>zgtj</td>\n",
       "      <td>0.528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>sse.601198</td>\n",
       "      <td>东兴证券</td>\n",
       "      <td>dxzq</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>sse.601211</td>\n",
       "      <td>国泰君安</td>\n",
       "      <td>gtja</td>\n",
       "      <td>0.597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>sse.601212</td>\n",
       "      <td>白银有色</td>\n",
       "      <td>byys</td>\n",
       "      <td>0.029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>sse.601216</td>\n",
       "      <td>君正集团</td>\n",
       "      <td>jzjt</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>sse.601225</td>\n",
       "      <td>陕西煤业</td>\n",
       "      <td>sxmy</td>\n",
       "      <td>0.356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>sse.601228</td>\n",
       "      <td>广州港</td>\n",
       "      <td>gzg</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>sse.601229</td>\n",
       "      <td>上海银行</td>\n",
       "      <td>shyh</td>\n",
       "      <td>0.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>sse.601238</td>\n",
       "      <td>广汽集团</td>\n",
       "      <td>gqjt</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>sse.601288</td>\n",
       "      <td>农业银行</td>\n",
       "      <td>nyyh</td>\n",
       "      <td>1.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>sse.601318</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>zgpa</td>\n",
       "      <td>7.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>sse.601328</td>\n",
       "      <td>交通银行</td>\n",
       "      <td>jtyh</td>\n",
       "      <td>1.718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>sse.601333</td>\n",
       "      <td>广深铁路</td>\n",
       "      <td>gstl</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>sse.601336</td>\n",
       "      <td>新华保险</td>\n",
       "      <td>xhbx</td>\n",
       "      <td>0.407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>sse.601360</td>\n",
       "      <td>三六零</td>\n",
       "      <td>sll</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>sse.601377</td>\n",
       "      <td>兴业证券</td>\n",
       "      <td>xyzq</td>\n",
       "      <td>0.237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>sse.601390</td>\n",
       "      <td>中国中铁</td>\n",
       "      <td>zgzt</td>\n",
       "      <td>0.431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>sse.601398</td>\n",
       "      <td>工商银行</td>\n",
       "      <td>gsyh</td>\n",
       "      <td>1.266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>sse.601555</td>\n",
       "      <td>东吴证券</td>\n",
       "      <td>dwzq</td>\n",
       "      <td>0.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>sse.601600</td>\n",
       "      <td>中国铝业</td>\n",
       "      <td>zgly</td>\n",
       "      <td>0.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>sse.601601</td>\n",
       "      <td>中国太保</td>\n",
       "      <td>zgtb</td>\n",
       "      <td>1.103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>sse.601607</td>\n",
       "      <td>上海医药</td>\n",
       "      <td>shyy</td>\n",
       "      <td>0.238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>sse.601611</td>\n",
       "      <td>中国核建</td>\n",
       "      <td>zghj</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>sse.601618</td>\n",
       "      <td>中国中冶</td>\n",
       "      <td>zgzy</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>sse.601628</td>\n",
       "      <td>中国人寿</td>\n",
       "      <td>zgrs</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>sse.601633</td>\n",
       "      <td>长城汽车</td>\n",
       "      <td>ccqc</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>sse.601668</td>\n",
       "      <td>中国建筑</td>\n",
       "      <td>zgjz</td>\n",
       "      <td>1.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>sse.601669</td>\n",
       "      <td>中国电建</td>\n",
       "      <td>zgdj</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>sse.601688</td>\n",
       "      <td>华泰证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>sse.601718</td>\n",
       "      <td>际华集团</td>\n",
       "      <td>jhjt</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>sse.601727</td>\n",
       "      <td>上海电气</td>\n",
       "      <td>shdq</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>sse.601766</td>\n",
       "      <td>中国中车</td>\n",
       "      <td>zgzc</td>\n",
       "      <td>0.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>sse.601788</td>\n",
       "      <td>光大证券</td>\n",
       "      <td>gdzq</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>sse.601800</td>\n",
       "      <td>中国交建</td>\n",
       "      <td>zgjj</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>sse.601808</td>\n",
       "      <td>中海油服</td>\n",
       "      <td>zhyf</td>\n",
       "      <td>0.061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>sse.601818</td>\n",
       "      <td>光大银行</td>\n",
       "      <td>gdyh</td>\n",
       "      <td>0.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>sse.601828</td>\n",
       "      <td>美凯龙</td>\n",
       "      <td>mkl</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>sse.601838</td>\n",
       "      <td>成都银行</td>\n",
       "      <td>cdyh</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>sse.601857</td>\n",
       "      <td>中国石油</td>\n",
       "      <td>zgsy</td>\n",
       "      <td>0.561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>sse.601866</td>\n",
       "      <td>中远海发</td>\n",
       "      <td>zyhf</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>sse.601877</td>\n",
       "      <td>正泰电器</td>\n",
       "      <td>ztdq</td>\n",
       "      <td>0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>sse.601878</td>\n",
       "      <td>浙商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>sse.601881</td>\n",
       "      <td>中国银河</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>sse.601888</td>\n",
       "      <td>中国国旅</td>\n",
       "      <td>zggl</td>\n",
       "      <td>0.546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>sse.601898</td>\n",
       "      <td>中煤能源</td>\n",
       "      <td>zmny</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>sse.601899</td>\n",
       "      <td>紫金矿业</td>\n",
       "      <td>zjky</td>\n",
       "      <td>0.370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>sse.601901</td>\n",
       "      <td>方正证券</td>\n",
       "      <td>fzzq</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>sse.601919</td>\n",
       "      <td>中远海控</td>\n",
       "      <td>zyhk</td>\n",
       "      <td>0.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>sse.601933</td>\n",
       "      <td>永辉超市</td>\n",
       "      <td>yhcs</td>\n",
       "      <td>0.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>sse.601939</td>\n",
       "      <td>建设银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>sse.601958</td>\n",
       "      <td>金钼股份</td>\n",
       "      <td>jmgf</td>\n",
       "      <td>0.063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>sse.601985</td>\n",
       "      <td>中国核电</td>\n",
       "      <td>zghd</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>sse.601988</td>\n",
       "      <td>中国银行</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>sse.601989</td>\n",
       "      <td>中国重工</td>\n",
       "      <td>zgzg</td>\n",
       "      <td>0.398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>sse.601991</td>\n",
       "      <td>大唐发电</td>\n",
       "      <td>dtfd</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>sse.601992</td>\n",
       "      <td>金隅集团</td>\n",
       "      <td>jyjt</td>\n",
       "      <td>0.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>sse.601997</td>\n",
       "      <td>贵阳银行</td>\n",
       "      <td>gyyh</td>\n",
       "      <td>0.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>sse.601998</td>\n",
       "      <td>中信银行</td>\n",
       "      <td>zxyh</td>\n",
       "      <td>0.189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>sse.603160</td>\n",
       "      <td>汇顶科技</td>\n",
       "      <td>hdkj</td>\n",
       "      <td>0.076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>sse.603260</td>\n",
       "      <td>合盛硅业</td>\n",
       "      <td>hsgy</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>sse.603288</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>htwy</td>\n",
       "      <td>0.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>sse.603799</td>\n",
       "      <td>华友钴业</td>\n",
       "      <td>hygy</td>\n",
       "      <td>0.175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>sse.603833</td>\n",
       "      <td>欧派家居</td>\n",
       "      <td>opjj</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>sse.603858</td>\n",
       "      <td>步长制药</td>\n",
       "      <td>bczy</td>\n",
       "      <td>0.126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>sse.603993</td>\n",
       "      <td>洛阳钼业</td>\n",
       "      <td>lymy</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# hs300 沪深300指数的成分股和权重\n",
    "A= at.get_code_list('hs300',date='2018-09-30')\n",
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>szse.000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>payh</td>\n",
       "      <td>0.907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>szse.000002</td>\n",
       "      <td>万科A</td>\n",
       "      <td>wkA</td>\n",
       "      <td>1.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>szse.000060</td>\n",
       "      <td>中金岭南</td>\n",
       "      <td>zjln</td>\n",
       "      <td>0.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>szse.000063</td>\n",
       "      <td>中兴通讯</td>\n",
       "      <td>zxtx</td>\n",
       "      <td>0.416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>szse.000069</td>\n",
       "      <td>华侨城A</td>\n",
       "      <td>hqcA</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>szse.000100</td>\n",
       "      <td>TCL集团</td>\n",
       "      <td>TCLjt</td>\n",
       "      <td>0.291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>szse.000157</td>\n",
       "      <td>中联重科</td>\n",
       "      <td>zlzk</td>\n",
       "      <td>0.160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>szse.000166</td>\n",
       "      <td>申万宏源</td>\n",
       "      <td>swhy</td>\n",
       "      <td>0.291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>szse.000333</td>\n",
       "      <td>美的集团</td>\n",
       "      <td>mdjt</td>\n",
       "      <td>1.777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>szse.000338</td>\n",
       "      <td>潍柴动力</td>\n",
       "      <td>wcdl</td>\n",
       "      <td>0.396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>szse.000402</td>\n",
       "      <td>金融街</td>\n",
       "      <td>jrj</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>szse.000413</td>\n",
       "      <td>东旭光电</td>\n",
       "      <td>dxgd</td>\n",
       "      <td>0.199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>szse.000415</td>\n",
       "      <td>渤海租赁</td>\n",
       "      <td>bhzl</td>\n",
       "      <td>0.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>szse.000423</td>\n",
       "      <td>东阿阿胶</td>\n",
       "      <td>daaj</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>szse.000425</td>\n",
       "      <td>徐工机械</td>\n",
       "      <td>xgjx</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>szse.000503</td>\n",
       "      <td>国新健康</td>\n",
       "      <td>gxjk</td>\n",
       "      <td>0.138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>szse.000538</td>\n",
       "      <td>云南白药</td>\n",
       "      <td>ynby</td>\n",
       "      <td>0.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>szse.000540</td>\n",
       "      <td>中天金融</td>\n",
       "      <td>ztjr</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>szse.000559</td>\n",
       "      <td>万向钱潮</td>\n",
       "      <td>wxqc</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>szse.000568</td>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>lzlj</td>\n",
       "      <td>0.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>szse.000623</td>\n",
       "      <td>吉林敖东</td>\n",
       "      <td>jlad</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>szse.000625</td>\n",
       "      <td>长安汽车</td>\n",
       "      <td>caqc</td>\n",
       "      <td>0.136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>szse.000627</td>\n",
       "      <td>天茂集团</td>\n",
       "      <td>tmjt</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>szse.000630</td>\n",
       "      <td>铜陵有色</td>\n",
       "      <td>tlys</td>\n",
       "      <td>0.132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>szse.000651</td>\n",
       "      <td>格力电器</td>\n",
       "      <td>gldq</td>\n",
       "      <td>1.849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>szse.000671</td>\n",
       "      <td>阳光城</td>\n",
       "      <td>ygc</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>szse.000709</td>\n",
       "      <td>河钢股份</td>\n",
       "      <td>hggf</td>\n",
       "      <td>0.132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>szse.000723</td>\n",
       "      <td>美锦能源</td>\n",
       "      <td>mjny</td>\n",
       "      <td>0.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>szse.000725</td>\n",
       "      <td>京东方A</td>\n",
       "      <td>jdfA</td>\n",
       "      <td>0.714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>szse.000728</td>\n",
       "      <td>国元证券</td>\n",
       "      <td>gyzq</td>\n",
       "      <td>0.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>szse.000768</td>\n",
       "      <td>中航飞机</td>\n",
       "      <td>zhfj</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>szse.000776</td>\n",
       "      <td>广发证券</td>\n",
       "      <td>gfzq</td>\n",
       "      <td>0.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>szse.000783</td>\n",
       "      <td>长江证券</td>\n",
       "      <td>cjzq</td>\n",
       "      <td>0.189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>szse.000786</td>\n",
       "      <td>北新建材</td>\n",
       "      <td>bxjc</td>\n",
       "      <td>0.134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>szse.000792</td>\n",
       "      <td>盐湖股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>szse.000826</td>\n",
       "      <td>启迪桑德</td>\n",
       "      <td>qdsd</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>szse.000839</td>\n",
       "      <td>中信国安</td>\n",
       "      <td>zxga</td>\n",
       "      <td>0.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>szse.000858</td>\n",
       "      <td>五粮液</td>\n",
       "      <td>wly</td>\n",
       "      <td>1.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>szse.000876</td>\n",
       "      <td>新希望</td>\n",
       "      <td>xxw</td>\n",
       "      <td>0.124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>szse.000895</td>\n",
       "      <td>双汇发展</td>\n",
       "      <td>shfz</td>\n",
       "      <td>0.247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>szse.000898</td>\n",
       "      <td>鞍钢股份</td>\n",
       "      <td>aggf</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>szse.000938</td>\n",
       "      <td>紫光股份</td>\n",
       "      <td>zggf</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>szse.000959</td>\n",
       "      <td>首钢股份</td>\n",
       "      <td>sggf</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>szse.000961</td>\n",
       "      <td>中南建设</td>\n",
       "      <td>znjs</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>szse.000963</td>\n",
       "      <td>华东医药</td>\n",
       "      <td>hdyy</td>\n",
       "      <td>0.293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>szse.000983</td>\n",
       "      <td>西山煤电</td>\n",
       "      <td>xsmd</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>szse.001965</td>\n",
       "      <td>招商公路</td>\n",
       "      <td>zsgl</td>\n",
       "      <td>0.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>szse.001979</td>\n",
       "      <td>招商蛇口</td>\n",
       "      <td>zssk</td>\n",
       "      <td>0.424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>szse.002007</td>\n",
       "      <td>华兰生物</td>\n",
       "      <td>hlsw</td>\n",
       "      <td>0.202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>szse.002008</td>\n",
       "      <td>大族激光</td>\n",
       "      <td>dzjg</td>\n",
       "      <td>0.346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>szse.002024</td>\n",
       "      <td>苏宁易购</td>\n",
       "      <td>snyg</td>\n",
       "      <td>0.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>szse.002027</td>\n",
       "      <td>分众传媒</td>\n",
       "      <td>fzcm</td>\n",
       "      <td>0.597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>szse.002044</td>\n",
       "      <td>美年健康</td>\n",
       "      <td>mnjk</td>\n",
       "      <td>0.206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>szse.002050</td>\n",
       "      <td>三花智控</td>\n",
       "      <td>shzk</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>szse.002065</td>\n",
       "      <td>东华软件</td>\n",
       "      <td>dhrj</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>szse.002074</td>\n",
       "      <td>国轩高科</td>\n",
       "      <td>gxgk</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>szse.002081</td>\n",
       "      <td>金螳螂</td>\n",
       "      <td>jtl</td>\n",
       "      <td>0.136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>szse.002085</td>\n",
       "      <td>万丰奥威</td>\n",
       "      <td>wfaw</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>szse.002142</td>\n",
       "      <td>宁波银行</td>\n",
       "      <td>nbyh</td>\n",
       "      <td>0.430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>szse.002146</td>\n",
       "      <td>荣盛发展</td>\n",
       "      <td>rsfz</td>\n",
       "      <td>0.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>szse.002153</td>\n",
       "      <td>石基信息</td>\n",
       "      <td>sjxx</td>\n",
       "      <td>0.103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>szse.002202</td>\n",
       "      <td>金风科技</td>\n",
       "      <td>jfkj</td>\n",
       "      <td>0.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>szse.002230</td>\n",
       "      <td>科大讯飞</td>\n",
       "      <td>kdxf</td>\n",
       "      <td>0.398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>szse.002236</td>\n",
       "      <td>大华股份</td>\n",
       "      <td>dhgf</td>\n",
       "      <td>0.246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>szse.002241</td>\n",
       "      <td>歌尔股份</td>\n",
       "      <td>gegf</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>szse.002252</td>\n",
       "      <td>上海莱士</td>\n",
       "      <td>shls</td>\n",
       "      <td>0.278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>szse.002294</td>\n",
       "      <td>信立泰</td>\n",
       "      <td>xlt</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>szse.002304</td>\n",
       "      <td>洋河股份</td>\n",
       "      <td>yhgf</td>\n",
       "      <td>0.737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>szse.002310</td>\n",
       "      <td>东方园林</td>\n",
       "      <td>dfyl</td>\n",
       "      <td>0.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>szse.002352</td>\n",
       "      <td>顺丰控股</td>\n",
       "      <td>sfkg</td>\n",
       "      <td>0.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>szse.002385</td>\n",
       "      <td>大北农</td>\n",
       "      <td>dbn</td>\n",
       "      <td>0.075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>szse.002411</td>\n",
       "      <td>延安必康</td>\n",
       "      <td>yabk</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>szse.002415</td>\n",
       "      <td>海康威视</td>\n",
       "      <td>hkws</td>\n",
       "      <td>1.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>szse.002450</td>\n",
       "      <td>ST康得新</td>\n",
       "      <td>STkdx</td>\n",
       "      <td>0.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>szse.002456</td>\n",
       "      <td>欧菲光</td>\n",
       "      <td>ofg</td>\n",
       "      <td>0.245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>szse.002460</td>\n",
       "      <td>赣锋锂业</td>\n",
       "      <td>gfly</td>\n",
       "      <td>0.242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>szse.002466</td>\n",
       "      <td>天齐锂业</td>\n",
       "      <td>tqly</td>\n",
       "      <td>0.249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>szse.002468</td>\n",
       "      <td>申通快递</td>\n",
       "      <td>stkd</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>szse.002470</td>\n",
       "      <td>金正大</td>\n",
       "      <td>jzd</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>szse.002475</td>\n",
       "      <td>立讯精密</td>\n",
       "      <td>lxjm</td>\n",
       "      <td>0.365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>szse.002493</td>\n",
       "      <td>荣盛石化</td>\n",
       "      <td>rssh</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>szse.002500</td>\n",
       "      <td>山西证券</td>\n",
       "      <td>sxzq</td>\n",
       "      <td>0.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>szse.002508</td>\n",
       "      <td>老板电器</td>\n",
       "      <td>lbdq</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>szse.002555</td>\n",
       "      <td>三七互娱</td>\n",
       "      <td>sqhy</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>szse.002558</td>\n",
       "      <td>巨人网络</td>\n",
       "      <td>jrwl</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>szse.002572</td>\n",
       "      <td>索菲亚</td>\n",
       "      <td>sfy</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>szse.002594</td>\n",
       "      <td>比亚迪</td>\n",
       "      <td>byd</td>\n",
       "      <td>0.425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>szse.002601</td>\n",
       "      <td>龙蟒佰利</td>\n",
       "      <td>lmbl</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>szse.002602</td>\n",
       "      <td>世纪华通</td>\n",
       "      <td>sjht</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>szse.002608</td>\n",
       "      <td>江苏国信</td>\n",
       "      <td>jsgx</td>\n",
       "      <td>0.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>szse.002624</td>\n",
       "      <td>完美世界</td>\n",
       "      <td>wmsj</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>szse.002625</td>\n",
       "      <td>光启技术</td>\n",
       "      <td>gqjs</td>\n",
       "      <td>0.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>szse.002673</td>\n",
       "      <td>西部证券</td>\n",
       "      <td>xbzq</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>szse.002714</td>\n",
       "      <td>牧原股份</td>\n",
       "      <td>mygf</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>szse.002736</td>\n",
       "      <td>国信证券</td>\n",
       "      <td>gxzq</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>szse.002739</td>\n",
       "      <td>万达电影</td>\n",
       "      <td>wddy</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>szse.002797</td>\n",
       "      <td>第一创业</td>\n",
       "      <td>dycy</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>szse.002925</td>\n",
       "      <td>盈趣科技</td>\n",
       "      <td>yqkj</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>szse.300003</td>\n",
       "      <td>乐普医疗</td>\n",
       "      <td>lpyl</td>\n",
       "      <td>0.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>szse.300015</td>\n",
       "      <td>爱尔眼科</td>\n",
       "      <td>aeyk</td>\n",
       "      <td>0.294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>szse.300017</td>\n",
       "      <td>网宿科技</td>\n",
       "      <td>wskj</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>szse.300024</td>\n",
       "      <td>机器人</td>\n",
       "      <td>jqr</td>\n",
       "      <td>0.170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>szse.300027</td>\n",
       "      <td>华谊兄弟</td>\n",
       "      <td>hyxd</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>szse.300033</td>\n",
       "      <td>同花顺</td>\n",
       "      <td>ths</td>\n",
       "      <td>0.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>szse.300059</td>\n",
       "      <td>东方财富</td>\n",
       "      <td>dfcf</td>\n",
       "      <td>0.389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>szse.300070</td>\n",
       "      <td>碧水源</td>\n",
       "      <td>bsy</td>\n",
       "      <td>0.180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>szse.300072</td>\n",
       "      <td>三聚环保</td>\n",
       "      <td>sjhb</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>szse.300122</td>\n",
       "      <td>智飞生物</td>\n",
       "      <td>zfsw</td>\n",
       "      <td>0.225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>szse.300124</td>\n",
       "      <td>汇川技术</td>\n",
       "      <td>hcjs</td>\n",
       "      <td>0.264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>szse.300136</td>\n",
       "      <td>信维通信</td>\n",
       "      <td>xwtx</td>\n",
       "      <td>0.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>szse.300144</td>\n",
       "      <td>宋城演艺</td>\n",
       "      <td>scyy</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>szse.300251</td>\n",
       "      <td>光线传媒</td>\n",
       "      <td>gxcm</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>szse.300408</td>\n",
       "      <td>三环集团</td>\n",
       "      <td>shjt</td>\n",
       "      <td>0.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>szse.300433</td>\n",
       "      <td>蓝思科技</td>\n",
       "      <td>lskj</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>sse.600000</td>\n",
       "      <td>浦发银行</td>\n",
       "      <td>pfyh</td>\n",
       "      <td>1.192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>sse.600008</td>\n",
       "      <td>首创股份</td>\n",
       "      <td>scgf</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>sse.600009</td>\n",
       "      <td>上海机场</td>\n",
       "      <td>shjc</td>\n",
       "      <td>0.541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>sse.600010</td>\n",
       "      <td>包钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>sse.600011</td>\n",
       "      <td>华能国际</td>\n",
       "      <td>hngj</td>\n",
       "      <td>0.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>sse.600015</td>\n",
       "      <td>华夏银行</td>\n",
       "      <td>hxyh</td>\n",
       "      <td>0.501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>sse.600016</td>\n",
       "      <td>民生银行</td>\n",
       "      <td>msyh</td>\n",
       "      <td>1.719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>sse.600018</td>\n",
       "      <td>上港集团</td>\n",
       "      <td>sgjt</td>\n",
       "      <td>0.156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>sse.600019</td>\n",
       "      <td>宝钢股份</td>\n",
       "      <td>bggf</td>\n",
       "      <td>0.668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>sse.600023</td>\n",
       "      <td>浙能电力</td>\n",
       "      <td>zndl</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>sse.600025</td>\n",
       "      <td>华能水电</td>\n",
       "      <td>hnsd</td>\n",
       "      <td>0.049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>sse.600028</td>\n",
       "      <td>中国石化</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>sse.600029</td>\n",
       "      <td>南方航空</td>\n",
       "      <td>nfhk</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>sse.600030</td>\n",
       "      <td>中信证券</td>\n",
       "      <td>zxzq</td>\n",
       "      <td>1.256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>sse.600031</td>\n",
       "      <td>三一重工</td>\n",
       "      <td>syzg</td>\n",
       "      <td>0.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>sse.600036</td>\n",
       "      <td>招商银行</td>\n",
       "      <td>zsyh</td>\n",
       "      <td>3.026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>sse.600038</td>\n",
       "      <td>中直股份</td>\n",
       "      <td>zzgf</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>sse.600048</td>\n",
       "      <td>保利地产</td>\n",
       "      <td>bldc</td>\n",
       "      <td>0.828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>sse.600050</td>\n",
       "      <td>中国联通</td>\n",
       "      <td>zglt</td>\n",
       "      <td>0.496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>sse.600061</td>\n",
       "      <td>国投资本</td>\n",
       "      <td>gtzb</td>\n",
       "      <td>0.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>sse.600066</td>\n",
       "      <td>宇通客车</td>\n",
       "      <td>ytkc</td>\n",
       "      <td>0.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>sse.600068</td>\n",
       "      <td>葛洲坝</td>\n",
       "      <td>gzb</td>\n",
       "      <td>0.193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>sse.600085</td>\n",
       "      <td>同仁堂</td>\n",
       "      <td>trt</td>\n",
       "      <td>0.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>sse.600089</td>\n",
       "      <td>特变电工</td>\n",
       "      <td>tbdg</td>\n",
       "      <td>0.255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>sse.600100</td>\n",
       "      <td>同方股份</td>\n",
       "      <td>tfgf</td>\n",
       "      <td>0.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>sse.600104</td>\n",
       "      <td>上汽集团</td>\n",
       "      <td>sqjt</td>\n",
       "      <td>1.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>sse.600109</td>\n",
       "      <td>国金证券</td>\n",
       "      <td>gjzq</td>\n",
       "      <td>0.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>sse.600111</td>\n",
       "      <td>北方稀土</td>\n",
       "      <td>bfxt</td>\n",
       "      <td>0.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>sse.600115</td>\n",
       "      <td>东方航空</td>\n",
       "      <td>dfhk</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>sse.600118</td>\n",
       "      <td>中国卫星</td>\n",
       "      <td>zgwx</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>sse.600153</td>\n",
       "      <td>建发股份</td>\n",
       "      <td>jfgf</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>sse.600157</td>\n",
       "      <td>永泰能源</td>\n",
       "      <td>ytny</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>sse.600170</td>\n",
       "      <td>上海建工</td>\n",
       "      <td>shjg</td>\n",
       "      <td>0.132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>sse.600176</td>\n",
       "      <td>中国巨石</td>\n",
       "      <td>zgjs</td>\n",
       "      <td>0.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>sse.600177</td>\n",
       "      <td>雅戈尔</td>\n",
       "      <td>yge</td>\n",
       "      <td>0.178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>sse.600188</td>\n",
       "      <td>兖州煤业</td>\n",
       "      <td>yzmy</td>\n",
       "      <td>0.098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>sse.600196</td>\n",
       "      <td>复星医药</td>\n",
       "      <td>fxyy</td>\n",
       "      <td>0.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>sse.600208</td>\n",
       "      <td>新湖中宝</td>\n",
       "      <td>xhzb</td>\n",
       "      <td>0.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>sse.600219</td>\n",
       "      <td>南山铝业</td>\n",
       "      <td>nsly</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>sse.600221</td>\n",
       "      <td>海航控股</td>\n",
       "      <td>hhkg</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>sse.600233</td>\n",
       "      <td>圆通速递</td>\n",
       "      <td>ytsd</td>\n",
       "      <td>0.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>sse.600271</td>\n",
       "      <td>航天信息</td>\n",
       "      <td>htxx</td>\n",
       "      <td>0.297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>sse.600276</td>\n",
       "      <td>恒瑞医药</td>\n",
       "      <td>hryy</td>\n",
       "      <td>1.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>sse.600297</td>\n",
       "      <td>广汇汽车</td>\n",
       "      <td>ghqc</td>\n",
       "      <td>0.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>sse.600309</td>\n",
       "      <td>万华化学</td>\n",
       "      <td>whhx</td>\n",
       "      <td>0.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>sse.600332</td>\n",
       "      <td>白云山</td>\n",
       "      <td>bys</td>\n",
       "      <td>0.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>sse.600339</td>\n",
       "      <td>中油工程</td>\n",
       "      <td>zygc</td>\n",
       "      <td>0.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>sse.600340</td>\n",
       "      <td>华夏幸福</td>\n",
       "      <td>hxxf</td>\n",
       "      <td>0.286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>sse.600346</td>\n",
       "      <td>恒力股份</td>\n",
       "      <td>hlgf</td>\n",
       "      <td>0.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>sse.600352</td>\n",
       "      <td>浙江龙盛</td>\n",
       "      <td>zjls</td>\n",
       "      <td>0.243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>sse.600362</td>\n",
       "      <td>江西铜业</td>\n",
       "      <td>jxty</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>sse.600369</td>\n",
       "      <td>西南证券</td>\n",
       "      <td>xnzq</td>\n",
       "      <td>0.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>sse.600372</td>\n",
       "      <td>中航电子</td>\n",
       "      <td>zhdz</td>\n",
       "      <td>0.073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>sse.600373</td>\n",
       "      <td>中文传媒</td>\n",
       "      <td>zwcm</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>sse.600376</td>\n",
       "      <td>首开股份</td>\n",
       "      <td>skgf</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>sse.600383</td>\n",
       "      <td>金地集团</td>\n",
       "      <td>jdjt</td>\n",
       "      <td>0.196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>sse.600390</td>\n",
       "      <td>五矿资本</td>\n",
       "      <td>wkzb</td>\n",
       "      <td>0.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>sse.600398</td>\n",
       "      <td>海澜之家</td>\n",
       "      <td>hlzj</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>sse.600406</td>\n",
       "      <td>国电南瑞</td>\n",
       "      <td>gdnr</td>\n",
       "      <td>0.309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>sse.600415</td>\n",
       "      <td>小商品城</td>\n",
       "      <td>xspc</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>sse.600436</td>\n",
       "      <td>片仔癀</td>\n",
       "      <td>pzh</td>\n",
       "      <td>0.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>sse.600438</td>\n",
       "      <td>通威股份</td>\n",
       "      <td>twgf</td>\n",
       "      <td>0.124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>sse.600482</td>\n",
       "      <td>中国动力</td>\n",
       "      <td>zgdl</td>\n",
       "      <td>0.192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>sse.600487</td>\n",
       "      <td>亨通光电</td>\n",
       "      <td>htgd</td>\n",
       "      <td>0.304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>sse.600489</td>\n",
       "      <td>中金黄金</td>\n",
       "      <td>zjhj</td>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>sse.600498</td>\n",
       "      <td>烽火通信</td>\n",
       "      <td>fhtx</td>\n",
       "      <td>0.159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>sse.600516</td>\n",
       "      <td>方大炭素</td>\n",
       "      <td>fdts</td>\n",
       "      <td>0.230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>sse.600518</td>\n",
       "      <td>康美药业</td>\n",
       "      <td>kmyy</td>\n",
       "      <td>0.624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>sse.600519</td>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>gzmt</td>\n",
       "      <td>3.506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>sse.600522</td>\n",
       "      <td>中天科技</td>\n",
       "      <td>ztkj</td>\n",
       "      <td>0.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>sse.600535</td>\n",
       "      <td>天士力</td>\n",
       "      <td>tsl</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>sse.600547</td>\n",
       "      <td>山东黄金</td>\n",
       "      <td>sdhj</td>\n",
       "      <td>0.168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>sse.600549</td>\n",
       "      <td>厦门钨业</td>\n",
       "      <td>xmwy</td>\n",
       "      <td>0.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>sse.600570</td>\n",
       "      <td>恒生电子</td>\n",
       "      <td>hsdz</td>\n",
       "      <td>0.261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>sse.600583</td>\n",
       "      <td>海油工程</td>\n",
       "      <td>hygc</td>\n",
       "      <td>0.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>sse.600585</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>hlsn</td>\n",
       "      <td>0.703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>sse.600588</td>\n",
       "      <td>用友网络</td>\n",
       "      <td>yywl</td>\n",
       "      <td>0.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>sse.600606</td>\n",
       "      <td>绿地控股</td>\n",
       "      <td>ldkg</td>\n",
       "      <td>0.223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>sse.600637</td>\n",
       "      <td>东方明珠</td>\n",
       "      <td>dfmz</td>\n",
       "      <td>0.165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>sse.600660</td>\n",
       "      <td>福耀玻璃</td>\n",
       "      <td>fybl</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>sse.600663</td>\n",
       "      <td>陆家嘴</td>\n",
       "      <td>ljz</td>\n",
       "      <td>0.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>sse.600674</td>\n",
       "      <td>川投能源</td>\n",
       "      <td>ctny</td>\n",
       "      <td>0.176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>sse.600682</td>\n",
       "      <td>南京新百</td>\n",
       "      <td>njxb</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>sse.600688</td>\n",
       "      <td>上海石化</td>\n",
       "      <td>shsh</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>sse.600690</td>\n",
       "      <td>青岛海尔</td>\n",
       "      <td>qdhe</td>\n",
       "      <td>0.578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>sse.600703</td>\n",
       "      <td>三安光电</td>\n",
       "      <td>sagd</td>\n",
       "      <td>0.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>sse.600704</td>\n",
       "      <td>物产中大</td>\n",
       "      <td>wczd</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>sse.600705</td>\n",
       "      <td>中航资本</td>\n",
       "      <td>zhzb</td>\n",
       "      <td>0.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>sse.600739</td>\n",
       "      <td>辽宁成大</td>\n",
       "      <td>lncd</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>sse.600741</td>\n",
       "      <td>华域汽车</td>\n",
       "      <td>hyqc</td>\n",
       "      <td>0.339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>sse.600795</td>\n",
       "      <td>国电电力</td>\n",
       "      <td>gddl</td>\n",
       "      <td>0.287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>sse.600804</td>\n",
       "      <td>鹏博士</td>\n",
       "      <td>pbs</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>sse.600809</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>sxfj</td>\n",
       "      <td>0.117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>sse.600816</td>\n",
       "      <td>安信信托</td>\n",
       "      <td>axxt</td>\n",
       "      <td>0.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>sse.600820</td>\n",
       "      <td>隧道股份</td>\n",
       "      <td>sdgf</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>sse.600837</td>\n",
       "      <td>海通证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>sse.600867</td>\n",
       "      <td>通化东宝</td>\n",
       "      <td>thdb</td>\n",
       "      <td>0.249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>sse.600886</td>\n",
       "      <td>国投电力</td>\n",
       "      <td>gtdl</td>\n",
       "      <td>0.299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>sse.600887</td>\n",
       "      <td>伊利股份</td>\n",
       "      <td>ylgf</td>\n",
       "      <td>1.492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>sse.600893</td>\n",
       "      <td>航发动力</td>\n",
       "      <td>hfdl</td>\n",
       "      <td>0.207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>sse.600900</td>\n",
       "      <td>长江电力</td>\n",
       "      <td>cjdl</td>\n",
       "      <td>1.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>sse.600909</td>\n",
       "      <td>华安证券</td>\n",
       "      <td>hazq</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>sse.600919</td>\n",
       "      <td>江苏银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>sse.600926</td>\n",
       "      <td>杭州银行</td>\n",
       "      <td>hzyh</td>\n",
       "      <td>0.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>sse.600958</td>\n",
       "      <td>东方证券</td>\n",
       "      <td>dfzq</td>\n",
       "      <td>0.306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>sse.600959</td>\n",
       "      <td>江苏有线</td>\n",
       "      <td>jsyx</td>\n",
       "      <td>0.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>sse.600977</td>\n",
       "      <td>中国电影</td>\n",
       "      <td>zgdy</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>sse.600999</td>\n",
       "      <td>招商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>sse.601006</td>\n",
       "      <td>大秦铁路</td>\n",
       "      <td>dqtl</td>\n",
       "      <td>0.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>sse.601009</td>\n",
       "      <td>南京银行</td>\n",
       "      <td>njyh</td>\n",
       "      <td>0.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>sse.601012</td>\n",
       "      <td>隆基股份</td>\n",
       "      <td>ljgf</td>\n",
       "      <td>0.265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>sse.601018</td>\n",
       "      <td>宁波港</td>\n",
       "      <td>nbg</td>\n",
       "      <td>0.155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>sse.601021</td>\n",
       "      <td>春秋航空</td>\n",
       "      <td>cqhk</td>\n",
       "      <td>0.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>sse.601088</td>\n",
       "      <td>中国神华</td>\n",
       "      <td>zgsh</td>\n",
       "      <td>0.386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>sse.601099</td>\n",
       "      <td>太平洋</td>\n",
       "      <td>tpy</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>sse.601108</td>\n",
       "      <td>财通证券</td>\n",
       "      <td>ctzq</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>sse.601111</td>\n",
       "      <td>中国国航</td>\n",
       "      <td>zggh</td>\n",
       "      <td>0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>sse.601117</td>\n",
       "      <td>中国化学</td>\n",
       "      <td>zghx</td>\n",
       "      <td>0.126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>sse.601155</td>\n",
       "      <td>新城控股</td>\n",
       "      <td>xckg</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>sse.601166</td>\n",
       "      <td>兴业银行</td>\n",
       "      <td>xyyh</td>\n",
       "      <td>1.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>sse.601169</td>\n",
       "      <td>北京银行</td>\n",
       "      <td>bjyh</td>\n",
       "      <td>0.864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>sse.601186</td>\n",
       "      <td>中国铁建</td>\n",
       "      <td>zgtj</td>\n",
       "      <td>0.490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>sse.601198</td>\n",
       "      <td>东兴证券</td>\n",
       "      <td>dxzq</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>sse.601211</td>\n",
       "      <td>国泰君安</td>\n",
       "      <td>gtja</td>\n",
       "      <td>0.538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>sse.601212</td>\n",
       "      <td>白银有色</td>\n",
       "      <td>byys</td>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>sse.601216</td>\n",
       "      <td>君正集团</td>\n",
       "      <td>jzjt</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>sse.601225</td>\n",
       "      <td>陕西煤业</td>\n",
       "      <td>sxmy</td>\n",
       "      <td>0.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>sse.601228</td>\n",
       "      <td>广州港</td>\n",
       "      <td>gzg</td>\n",
       "      <td>0.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>sse.601229</td>\n",
       "      <td>上海银行</td>\n",
       "      <td>shyh</td>\n",
       "      <td>0.637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>sse.601238</td>\n",
       "      <td>广汽集团</td>\n",
       "      <td>gqjt</td>\n",
       "      <td>0.068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>sse.601288</td>\n",
       "      <td>农业银行</td>\n",
       "      <td>nyyh</td>\n",
       "      <td>1.424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>sse.601318</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>zgpa</td>\n",
       "      <td>7.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>sse.601328</td>\n",
       "      <td>交通银行</td>\n",
       "      <td>jtyh</td>\n",
       "      <td>1.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>sse.601333</td>\n",
       "      <td>广深铁路</td>\n",
       "      <td>gstl</td>\n",
       "      <td>0.117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>sse.601336</td>\n",
       "      <td>新华保险</td>\n",
       "      <td>xhbx</td>\n",
       "      <td>0.402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>sse.601360</td>\n",
       "      <td>三六零</td>\n",
       "      <td>sll</td>\n",
       "      <td>0.103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>sse.601377</td>\n",
       "      <td>兴业证券</td>\n",
       "      <td>xyzq</td>\n",
       "      <td>0.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>sse.601390</td>\n",
       "      <td>中国中铁</td>\n",
       "      <td>zgzt</td>\n",
       "      <td>0.415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>sse.601398</td>\n",
       "      <td>工商银行</td>\n",
       "      <td>gsyh</td>\n",
       "      <td>1.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>sse.601555</td>\n",
       "      <td>东吴证券</td>\n",
       "      <td>dwzq</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>sse.601600</td>\n",
       "      <td>中国铝业</td>\n",
       "      <td>zgly</td>\n",
       "      <td>0.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>sse.601601</td>\n",
       "      <td>中国太保</td>\n",
       "      <td>zgtb</td>\n",
       "      <td>1.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>sse.601607</td>\n",
       "      <td>上海医药</td>\n",
       "      <td>shyy</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>sse.601611</td>\n",
       "      <td>中国核建</td>\n",
       "      <td>zghj</td>\n",
       "      <td>0.058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>sse.601618</td>\n",
       "      <td>中国中冶</td>\n",
       "      <td>zgzy</td>\n",
       "      <td>0.183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>sse.601628</td>\n",
       "      <td>中国人寿</td>\n",
       "      <td>zgrs</td>\n",
       "      <td>0.361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>sse.601633</td>\n",
       "      <td>长城汽车</td>\n",
       "      <td>ccqc</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>sse.601668</td>\n",
       "      <td>中国建筑</td>\n",
       "      <td>zgjz</td>\n",
       "      <td>1.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>sse.601669</td>\n",
       "      <td>中国电建</td>\n",
       "      <td>zgdj</td>\n",
       "      <td>0.235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>sse.601688</td>\n",
       "      <td>华泰证券</td>\n",
       "      <td>htzq</td>\n",
       "      <td>0.492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>sse.601718</td>\n",
       "      <td>际华集团</td>\n",
       "      <td>jhjt</td>\n",
       "      <td>0.062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>sse.601727</td>\n",
       "      <td>上海电气</td>\n",
       "      <td>shdq</td>\n",
       "      <td>0.178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>sse.601766</td>\n",
       "      <td>中国中车</td>\n",
       "      <td>zgzc</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>sse.601788</td>\n",
       "      <td>光大证券</td>\n",
       "      <td>gdzq</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>sse.601800</td>\n",
       "      <td>中国交建</td>\n",
       "      <td>zgjj</td>\n",
       "      <td>0.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>sse.601808</td>\n",
       "      <td>中海油服</td>\n",
       "      <td>zhyf</td>\n",
       "      <td>0.065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>sse.601818</td>\n",
       "      <td>光大银行</td>\n",
       "      <td>gdyh</td>\n",
       "      <td>0.595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>sse.601828</td>\n",
       "      <td>美凯龙</td>\n",
       "      <td>mkl</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>sse.601838</td>\n",
       "      <td>成都银行</td>\n",
       "      <td>cdyh</td>\n",
       "      <td>0.035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>sse.601857</td>\n",
       "      <td>中国石油</td>\n",
       "      <td>zgsy</td>\n",
       "      <td>0.568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>sse.601866</td>\n",
       "      <td>中远海发</td>\n",
       "      <td>zyhf</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>sse.601877</td>\n",
       "      <td>正泰电器</td>\n",
       "      <td>ztdq</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>sse.601878</td>\n",
       "      <td>浙商证券</td>\n",
       "      <td>zszq</td>\n",
       "      <td>0.026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>sse.601881</td>\n",
       "      <td>中国银河</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>sse.601888</td>\n",
       "      <td>中国国旅</td>\n",
       "      <td>zggl</td>\n",
       "      <td>0.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>sse.601898</td>\n",
       "      <td>中煤能源</td>\n",
       "      <td>zmny</td>\n",
       "      <td>0.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>sse.601899</td>\n",
       "      <td>紫金矿业</td>\n",
       "      <td>zjky</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>sse.601901</td>\n",
       "      <td>方正证券</td>\n",
       "      <td>fzzq</td>\n",
       "      <td>0.217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>sse.601919</td>\n",
       "      <td>中远海控</td>\n",
       "      <td>zyhk</td>\n",
       "      <td>0.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>sse.601933</td>\n",
       "      <td>永辉超市</td>\n",
       "      <td>yhcs</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>sse.601939</td>\n",
       "      <td>建设银行</td>\n",
       "      <td>jsyh</td>\n",
       "      <td>0.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>sse.601958</td>\n",
       "      <td>金钼股份</td>\n",
       "      <td>jmgf</td>\n",
       "      <td>0.058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>sse.601985</td>\n",
       "      <td>中国核电</td>\n",
       "      <td>zghd</td>\n",
       "      <td>0.268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>sse.601988</td>\n",
       "      <td>中国银行</td>\n",
       "      <td>zgyh</td>\n",
       "      <td>0.749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>sse.601989</td>\n",
       "      <td>中国重工</td>\n",
       "      <td>zgzg</td>\n",
       "      <td>0.372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>sse.601991</td>\n",
       "      <td>大唐发电</td>\n",
       "      <td>dtfd</td>\n",
       "      <td>0.081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>sse.601992</td>\n",
       "      <td>金隅集团</td>\n",
       "      <td>jyjt</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>sse.601997</td>\n",
       "      <td>贵阳银行</td>\n",
       "      <td>gyyh</td>\n",
       "      <td>0.161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>sse.601998</td>\n",
       "      <td>中信银行</td>\n",
       "      <td>zxyh</td>\n",
       "      <td>0.178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>sse.603160</td>\n",
       "      <td>汇顶科技</td>\n",
       "      <td>hdkj</td>\n",
       "      <td>0.070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>sse.603260</td>\n",
       "      <td>合盛硅业</td>\n",
       "      <td>hsgy</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>sse.603288</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>htwy</td>\n",
       "      <td>0.613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>sse.603799</td>\n",
       "      <td>华友钴业</td>\n",
       "      <td>hygy</td>\n",
       "      <td>0.254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>sse.603833</td>\n",
       "      <td>欧派家居</td>\n",
       "      <td>opjj</td>\n",
       "      <td>0.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>sse.603858</td>\n",
       "      <td>步长制药</td>\n",
       "      <td>bczy</td>\n",
       "      <td>0.123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>sse.603993</td>\n",
       "      <td>洛阳钼业</td>\n",
       "      <td>lymy</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            code   name block_name  weight\n",
       "0    szse.000001   平安银行       payh   0.907\n",
       "1    szse.000002    万科A        wkA   1.129\n",
       "2    szse.000060   中金岭南       zjln   0.109\n",
       "3    szse.000063   中兴通讯       zxtx   0.416\n",
       "4    szse.000069   华侨城A       hqcA   0.198\n",
       "5    szse.000100  TCL集团      TCLjt   0.291\n",
       "6    szse.000157   中联重科       zlzk   0.160\n",
       "7    szse.000166   申万宏源       swhy   0.291\n",
       "8    szse.000333   美的集团       mdjt   1.777\n",
       "9    szse.000338   潍柴动力       wcdl   0.396\n",
       "10   szse.000402    金融街        jrj   0.080\n",
       "11   szse.000413   东旭光电       dxgd   0.199\n",
       "12   szse.000415   渤海租赁       bhzl   0.069\n",
       "13   szse.000423   东阿阿胶       daaj   0.208\n",
       "14   szse.000425   徐工机械       xgjx   0.177\n",
       "15   szse.000503   国新健康       gxjk   0.138\n",
       "16   szse.000538   云南白药       ynby   0.350\n",
       "17   szse.000540   中天金融       ztjr   0.197\n",
       "18   szse.000559   万向钱潮       wxqc   0.078\n",
       "19   szse.000568   泸州老窖       lzlj   0.333\n",
       "20   szse.000623   吉林敖东       jlad   0.146\n",
       "21   szse.000625   长安汽车       caqc   0.136\n",
       "22   szse.000627   天茂集团       tmjt   0.089\n",
       "23   szse.000630   铜陵有色       tlys   0.132\n",
       "24   szse.000651   格力电器       gldq   1.849\n",
       "25   szse.000671    阳光城        ygc   0.092\n",
       "26   szse.000709   河钢股份       hggf   0.132\n",
       "27   szse.000723   美锦能源       mjny   0.042\n",
       "28   szse.000725   京东方A       jdfA   0.714\n",
       "29   szse.000728   国元证券       gyzq   0.133\n",
       "30   szse.000768   中航飞机       zhfj   0.210\n",
       "31   szse.000776   广发证券       gfzq   0.392\n",
       "32   szse.000783   长江证券       cjzq   0.189\n",
       "33   szse.000786   北新建材       bxjc   0.134\n",
       "34   szse.000792   盐湖股份       yhgf   0.121\n",
       "35   szse.000826   启迪桑德       qdsd   0.092\n",
       "36   szse.000839   中信国安       zxga   0.101\n",
       "37   szse.000858    五粮液        wly   1.260\n",
       "38   szse.000876    新希望        xxw   0.124\n",
       "39   szse.000895   双汇发展       shfz   0.247\n",
       "40   szse.000898   鞍钢股份       aggf   0.108\n",
       "41   szse.000938   紫光股份       zggf   0.082\n",
       "42   szse.000959   首钢股份       sggf   0.066\n",
       "43   szse.000961   中南建设       znjs   0.110\n",
       "44   szse.000963   华东医药       hdyy   0.293\n",
       "45   szse.000983   西山煤电       xsmd   0.100\n",
       "46   szse.001965   招商公路       zsgl   0.045\n",
       "47   szse.001979   招商蛇口       zssk   0.424\n",
       "48   szse.002007   华兰生物       hlsw   0.202\n",
       "49   szse.002008   大族激光       dzjg   0.346\n",
       "50   szse.002024   苏宁易购       snyg   0.480\n",
       "51   szse.002027   分众传媒       fzcm   0.597\n",
       "52   szse.002044   美年健康       mnjk   0.206\n",
       "53   szse.002050   三花智控       shzk   0.108\n",
       "54   szse.002065   东华软件       dhrj   0.162\n",
       "55   szse.002074   国轩高科       gxgk   0.089\n",
       "56   szse.002081    金螳螂        jtl   0.136\n",
       "57   szse.002085   万丰奥威       wfaw   0.089\n",
       "58   szse.002142   宁波银行       nbyh   0.430\n",
       "59   szse.002146   荣盛发展       rsfz   0.133\n",
       "60   szse.002153   石基信息       sjxx   0.103\n",
       "61   szse.002202   金风科技       jfkj   0.234\n",
       "62   szse.002230   科大讯飞       kdxf   0.398\n",
       "63   szse.002236   大华股份       dhgf   0.246\n",
       "64   szse.002241   歌尔股份       gegf   0.154\n",
       "65   szse.002252   上海莱士       shls   0.278\n",
       "66   szse.002294    信立泰        xlt   0.113\n",
       "67   szse.002304   洋河股份       yhgf   0.737\n",
       "68   szse.002310   东方园林       dfyl   0.133\n",
       "69   szse.002352   顺丰控股       sfkg   0.109\n",
       "70   szse.002385    大北农        dbn   0.075\n",
       "71   szse.002411   延安必康       yabk   0.060\n",
       "72   szse.002415   海康威视       hkws   1.014\n",
       "73   szse.002450  ST康得新      STkdx   0.344\n",
       "74   szse.002456    欧菲光        ofg   0.245\n",
       "75   szse.002460   赣锋锂业       gfly   0.242\n",
       "76   szse.002466   天齐锂业       tqly   0.249\n",
       "77   szse.002468   申通快递       stkd   0.057\n",
       "78   szse.002470    金正大        jzd   0.102\n",
       "79   szse.002475   立讯精密       lxjm   0.365\n",
       "80   szse.002493   荣盛石化       rssh   0.135\n",
       "81   szse.002500   山西证券       sxzq   0.101\n",
       "82   szse.002508   老板电器       lbdq   0.106\n",
       "83   szse.002555   三七互娱       sqhy   0.088\n",
       "84   szse.002558   巨人网络       jrwl   0.110\n",
       "85   szse.002572    索菲亚        sfy   0.135\n",
       "86   szse.002594    比亚迪        byd   0.425\n",
       "87   szse.002601   龙蟒佰利       lmbl   0.080\n",
       "88   szse.002602   世纪华通       sjht   0.091\n",
       "89   szse.002608   江苏国信       jsgx   0.037\n",
       "90   szse.002624   完美世界       wmsj   0.091\n",
       "91   szse.002625   光启技术       gqjs   0.037\n",
       "92   szse.002673   西部证券       xbzq   0.135\n",
       "93   szse.002714   牧原股份       mygf   0.149\n",
       "94   szse.002736   国信证券       gxzq   0.198\n",
       "95   szse.002739   万达电影       wddy   0.233\n",
       "96   szse.002797   第一创业       dycy   0.105\n",
       "97   szse.002925   盈趣科技       yqkj   0.039\n",
       "98   szse.300003   乐普医疗       lpyl   0.310\n",
       "99   szse.300015   爱尔眼科       aeyk   0.294\n",
       "100  szse.300017   网宿科技       wskj   0.130\n",
       "101  szse.300024    机器人        jqr   0.170\n",
       "102  szse.300027   华谊兄弟       hyxd   0.085\n",
       "103  szse.300033    同花顺        ths   0.071\n",
       "104  szse.300059   东方财富       dfcf   0.389\n",
       "105  szse.300070    碧水源        bsy   0.180\n",
       "106  szse.300072   三聚环保       sjhb   0.167\n",
       "107  szse.300122   智飞生物       zfsw   0.225\n",
       "108  szse.300124   汇川技术       hcjs   0.264\n",
       "109  szse.300136   信维通信       xwtx   0.200\n",
       "110  szse.300144   宋城演艺       scyy   0.154\n",
       "111  szse.300251   光线传媒       gxcm   0.066\n",
       "112  szse.300408   三环集团       shjt   0.208\n",
       "113  szse.300433   蓝思科技       lskj   0.074\n",
       "114   sse.600000   浦发银行       pfyh   1.192\n",
       "115   sse.600008   首创股份       scgf   0.087\n",
       "116   sse.600009   上海机场       shjc   0.541\n",
       "117   sse.600010   包钢股份       bggf   0.217\n",
       "118   sse.600011   华能国际       hngj   0.310\n",
       "119   sse.600015   华夏银行       hxyh   0.501\n",
       "120   sse.600016   民生银行       msyh   1.719\n",
       "121   sse.600018   上港集团       sgjt   0.156\n",
       "122   sse.600019   宝钢股份       bggf   0.668\n",
       "123   sse.600023   浙能电力       zndl   0.198\n",
       "124   sse.600025   华能水电       hnsd   0.049\n",
       "125   sse.600028   中国石化       zgsh   0.715\n",
       "126   sse.600029   南方航空       nfhk   0.227\n",
       "127   sse.600030   中信证券       zxzq   1.256\n",
       "128   sse.600031   三一重工       syzg   0.392\n",
       "129   sse.600036   招商银行       zsyh   3.026\n",
       "130   sse.600038   中直股份       zzgf   0.112\n",
       "131   sse.600048   保利地产       bldc   0.828\n",
       "132   sse.600050   中国联通       zglt   0.496\n",
       "133   sse.600061   国投资本       gtzb   0.067\n",
       "134   sse.600066   宇通客车       ytkc   0.186\n",
       "135   sse.600068    葛洲坝        gzb   0.193\n",
       "136   sse.600085    同仁堂        trt   0.166\n",
       "137   sse.600089   特变电工       tbdg   0.255\n",
       "138   sse.600100   同方股份       tfgf   0.166\n",
       "139   sse.600104   上汽集团       sqjt   1.115\n",
       "140   sse.600109   国金证券       gjzq   0.142\n",
       "141   sse.600111   北方稀土       bfxt   0.213\n",
       "142   sse.600115   东方航空       dfhk   0.210\n",
       "143   sse.600118   中国卫星       zgwx   0.105\n",
       "144   sse.600153   建发股份       jfgf   0.110\n",
       "145   sse.600157   永泰能源       ytny   0.099\n",
       "146   sse.600170   上海建工       shjg   0.132\n",
       "147   sse.600176   中国巨石       zgjs   0.213\n",
       "148   sse.600177    雅戈尔        yge   0.178\n",
       "149   sse.600188   兖州煤业       yzmy   0.098\n",
       "150   sse.600196   复星医药       fxyy   0.303\n",
       "151   sse.600208   新湖中宝       xhzb   0.128\n",
       "152   sse.600219   南山铝业       nsly   0.147\n",
       "153   sse.600221   海航控股       hhkg   0.227\n",
       "154   sse.600233   圆通速递       ytsd   0.043\n",
       "155   sse.600271   航天信息       htxx   0.297\n",
       "156   sse.600276   恒瑞医药       hryy   1.341\n",
       "157   sse.600297   广汇汽车       ghqc   0.151\n",
       "158   sse.600309   万华化学       whhx   0.666\n",
       "159   sse.600332    白云山        bys   0.197\n",
       "160   sse.600339   中油工程       zygc   0.090\n",
       "161   sse.600340   华夏幸福       hxxf   0.286\n",
       "162   sse.600346   恒力股份       hlgf   0.116\n",
       "163   sse.600352   浙江龙盛       zjls   0.243\n",
       "164   sse.600362   江西铜业       jxty   0.144\n",
       "165   sse.600369   西南证券       xnzq   0.096\n",
       "166   sse.600372   中航电子       zhdz   0.073\n",
       "167   sse.600373   中文传媒       zwcm   0.057\n",
       "168   sse.600376   首开股份       skgf   0.089\n",
       "169   sse.600383   金地集团       jdjt   0.196\n",
       "170   sse.600390   五矿资本       wkzb   0.040\n",
       "171   sse.600398   海澜之家       hlzj   0.177\n",
       "172   sse.600406   国电南瑞       gdnr   0.309\n",
       "173   sse.600415   小商品城       xspc   0.106\n",
       "174   sse.600436    片仔癀        pzh   0.292\n",
       "175   sse.600438   通威股份       twgf   0.124\n",
       "176   sse.600482   中国动力       zgdl   0.192\n",
       "177   sse.600487   亨通光电       htgd   0.304\n",
       "178   sse.600489   中金黄金       zjhj   0.112\n",
       "179   sse.600498   烽火通信       fhtx   0.159\n",
       "180   sse.600516   方大炭素       fdts   0.230\n",
       "181   sse.600518   康美药业       kmyy   0.624\n",
       "182   sse.600519   贵州茅台       gzmt   3.506\n",
       "183   sse.600522   中天科技       ztkj   0.201\n",
       "184   sse.600535    天士力        tsl   0.198\n",
       "185   sse.600547   山东黄金       sdhj   0.168\n",
       "186   sse.600549   厦门钨业       xmwy   0.116\n",
       "187   sse.600570   恒生电子       hsdz   0.261\n",
       "188   sse.600583   海油工程       hygc   0.143\n",
       "189   sse.600585   海螺水泥       hlsn   0.703\n",
       "190   sse.600588   用友网络       yywl   0.253\n",
       "191   sse.600606   绿地控股       ldkg   0.223\n",
       "192   sse.600637   东方明珠       dfmz   0.165\n",
       "193   sse.600660   福耀玻璃       fybl   0.341\n",
       "194   sse.600663    陆家嘴        ljz   0.109\n",
       "195   sse.600674   川投能源       ctny   0.176\n",
       "196   sse.600682   南京新百       njxb   0.057\n",
       "197   sse.600688   上海石化       shsh   0.082\n",
       "198   sse.600690   青岛海尔       qdhe   0.578\n",
       "199   sse.600703   三安光电       sagd   0.383\n",
       "200   sse.600704   物产中大       wczd   0.082\n",
       "201   sse.600705   中航资本       zhzb   0.200\n",
       "202   sse.600739   辽宁成大       lncd   0.162\n",
       "203   sse.600741   华域汽车       hyqc   0.339\n",
       "204   sse.600795   国电电力       gddl   0.287\n",
       "205   sse.600804    鹏博士        pbs   0.144\n",
       "206   sse.600809   山西汾酒       sxfj   0.117\n",
       "207   sse.600816   安信信托       axxt   0.108\n",
       "208   sse.600820   隧道股份       sdgf   0.110\n",
       "209   sse.600837   海通证券       htzq   0.693\n",
       "210   sse.600867   通化东宝       thdb   0.249\n",
       "211   sse.600886   国投电力       gtdl   0.299\n",
       "212   sse.600887   伊利股份       ylgf   1.492\n",
       "213   sse.600893   航发动力       hfdl   0.207\n",
       "214   sse.600900   长江电力       cjdl   1.033\n",
       "215   sse.600909   华安证券       hazq   0.087\n",
       "216   sse.600919   江苏银行       jsyh   0.428\n",
       "217   sse.600926   杭州银行       hzyh   0.153\n",
       "218   sse.600958   东方证券       dfzq   0.306\n",
       "219   sse.600959   江苏有线       jsyx   0.069\n",
       "220   sse.600977   中国电影       zgdy   0.093\n",
       "221   sse.600999   招商证券       zszq   0.287\n",
       "222   sse.601006   大秦铁路       dqtl   0.468\n",
       "223   sse.601009   南京银行       njyh   0.434\n",
       "224   sse.601012   隆基股份       ljgf   0.265\n",
       "225   sse.601018    宁波港        nbg   0.155\n",
       "226   sse.601021   春秋航空       cqhk   0.094\n",
       "227   sse.601088   中国神华       zgsh   0.386\n",
       "228   sse.601099    太平洋        tpy   0.147\n",
       "229   sse.601108   财通证券       ctzq   0.034\n",
       "230   sse.601111   中国国航       zggh   0.233\n",
       "231   sse.601117   中国化学       zghx   0.126\n",
       "232   sse.601155   新城控股       xckg   0.226\n",
       "233   sse.601166   兴业银行       xyyh   1.900\n",
       "234   sse.601169   北京银行       bjyh   0.864\n",
       "235   sse.601186   中国铁建       zgtj   0.490\n",
       "236   sse.601198   东兴证券       dxzq   0.135\n",
       "237   sse.601211   国泰君安       gtja   0.538\n",
       "238   sse.601212   白银有色       byys   0.031\n",
       "239   sse.601216   君正集团       jzjt   0.102\n",
       "240   sse.601225   陕西煤业       sxmy   0.333\n",
       "241   sse.601228    广州港        gzg   0.090\n",
       "242   sse.601229   上海银行       shyh   0.637\n",
       "243   sse.601238   广汽集团       gqjt   0.068\n",
       "244   sse.601288   农业银行       nyyh   1.424\n",
       "245   sse.601318   中国平安       zgpa   7.092\n",
       "246   sse.601328   交通银行       jtyh   1.534\n",
       "247   sse.601333   广深铁路       gstl   0.117\n",
       "248   sse.601336   新华保险       xhbx   0.402\n",
       "249   sse.601360    三六零        sll   0.103\n",
       "250   sse.601377   兴业证券       xyzq   0.201\n",
       "251   sse.601390   中国中铁       zgzt   0.415\n",
       "252   sse.601398   工商银行       gsyh   1.190\n",
       "253   sse.601555   东吴证券       dwzq   0.147\n",
       "254   sse.601600   中国铝业       zgly   0.253\n",
       "255   sse.601601   中国太保       zgtb   1.067\n",
       "256   sse.601607   上海医药       shyy   0.226\n",
       "257   sse.601611   中国核建       zghj   0.058\n",
       "258   sse.601618   中国中冶       zgzy   0.183\n",
       "259   sse.601628   中国人寿       zgrs   0.361\n",
       "260   sse.601633   长城汽车       ccqc   0.091\n",
       "261   sse.601668   中国建筑       zgjz   1.102\n",
       "262   sse.601669   中国电建       zgdj   0.235\n",
       "263   sse.601688   华泰证券       htzq   0.492\n",
       "264   sse.601718   际华集团       jhjt   0.062\n",
       "265   sse.601727   上海电气       shdq   0.178\n",
       "266   sse.601766   中国中车       zgzc   0.603\n",
       "267   sse.601788   光大证券       gdzq   0.177\n",
       "268   sse.601800   中国交建       zgjj   0.187\n",
       "269   sse.601808   中海油服       zhyf   0.065\n",
       "270   sse.601818   光大银行       gdyh   0.595\n",
       "271   sse.601828    美凯龙        mkl   0.041\n",
       "272   sse.601838   成都银行       cdyh   0.035\n",
       "273   sse.601857   中国石油       zgsy   0.568\n",
       "274   sse.601866   中远海发       zyhf   0.072\n",
       "275   sse.601877   正泰电器       ztdq   0.190\n",
       "276   sse.601878   浙商证券       zszq   0.026\n",
       "277   sse.601881   中国银河       zgyh   0.087\n",
       "278   sse.601888   中国国旅       zggl   0.635\n",
       "279   sse.601898   中煤能源       zmny   0.092\n",
       "280   sse.601899   紫金矿业       zjky   0.354\n",
       "281   sse.601901   方正证券       fzzq   0.217\n",
       "282   sse.601919   中远海控       zyhk   0.149\n",
       "283   sse.601933   永辉超市       yhcs   0.298\n",
       "284   sse.601939   建设银行       jsyh   0.531\n",
       "285   sse.601958   金钼股份       jmgf   0.058\n",
       "286   sse.601985   中国核电       zghd   0.268\n",
       "287   sse.601988   中国银行       zgyh   0.749\n",
       "288   sse.601989   中国重工       zgzg   0.372\n",
       "289   sse.601991   大唐发电       dtfd   0.081\n",
       "290   sse.601992   金隅集团       jyjt   0.118\n",
       "291   sse.601997   贵阳银行       gyyh   0.161\n",
       "292   sse.601998   中信银行       zxyh   0.178\n",
       "293   sse.603160   汇顶科技       hdkj   0.070\n",
       "294   sse.603260   合盛硅业       hsgy   0.039\n",
       "295   sse.603288   海天味业       htwy   0.613\n",
       "296   sse.603799   华友钴业       hygy   0.254\n",
       "297   sse.603833   欧派家居       opjj   0.114\n",
       "298   sse.603858   步长制药       bczy   0.123\n",
       "299   sse.603993   洛阳钼业       lymy   0.100"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A= at.get_code_list('hs300',date='2018-09-01')\n",
    "A"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上述两个运行结果可看出个股权重随时间波动。故在求股票池的总体平均收益率时，个股的线性组合的权重需要进行筛选或者计算：\n",
    "1. 挑选月初的个股权重\n",
    "2. 挑选月末的个股权重 (这个简单一点）\n",
    "3. 取整一个月的个股权重的平均值（这个可能比较靠谱一点）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>code</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>open_interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04 15:00:00</td>\n",
       "      <td>SZSE.000001</td>\n",
       "      <td>9.55212</td>\n",
       "      <td>9.57600</td>\n",
       "      <td>8.93919</td>\n",
       "      <td>9.01880</td>\n",
       "      <td>563497.0</td>\n",
       "      <td>6.60376e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05 15:00:00</td>\n",
       "      <td>SZSE.000001</td>\n",
       "      <td>8.97103</td>\n",
       "      <td>9.20984</td>\n",
       "      <td>8.87551</td>\n",
       "      <td>9.07452</td>\n",
       "      <td>663269.0</td>\n",
       "      <td>7.55531e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>code</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>open_interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04 15:00:00</td>\n",
       "      <td>SZSE.000001</td>\n",
       "      <td>9.55212</td>\n",
       "      <td>9.57600</td>\n",
       "      <td>8.93919</td>\n",
       "      <td>9.01880</td>\n",
       "      <td>563497.0</td>\n",
       "      <td>6.60376e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05 15:00:00</td>\n",
       "      <td>SZSE.000001</td>\n",
       "      <td>8.97103</td>\n",
       "      <td>9.20984</td>\n",
       "      <td>8.87551</td>\n",
       "      <td>9.07452</td>\n",
       "      <td>663269.0</td>\n",
       "      <td>7.55531e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_data = at.get_kdata(target_list=['SZSE.000001','SZSE.000002'],\n",
    "                   frequency='day', fre_num=1, end_date='2016-01-05', begin_date='2016-01-01',\n",
    "                   fill_up=False, df=True,fq=1, sort_by_date=False)\n",
    "day_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "A=at.get_code_list('hs300',date='2018-09-30')\n",
    "# print(A)\n",
    "code = A['code'].tolist()\n",
    "\n",
    "factor_data = at.get_factor_by_day(factor_list=['PE'], \n",
    "                                   target_list=['SZSE.000001', 'SZSE.000002'], date='2016-01-01')\n",
    "print(factor_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          code      PE\n0  SZSE.000001  7.4202\n1  SZSE.000002  12.723\n          code      PE\n0  SZSE.000001  6.7178\n1  SZSE.000002  10.258\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          code      PE\n0  SZSE.000001  8.4872\n1  SZSE.000002  9.3331\n"
     ]
    }
   ],
   "source": [
    "factor_data = at.get_factor_by_day(factor_list=['PE'], target_list=['SZSE.000001', 'SZSE.000002'], date='2016-01-04')\n",
    "print(factor_data)\n",
    "factor_data = at.get_factor_by_day(factor_list=['PE'], target_list=['SZSE.000001', 'SZSE.000002'], date='2016-06-01')\n",
    "print(factor_data)\n",
    "factor_data = at.get_factor_by_day(factor_list=['PE'], target_list=['SZSE.000001', 'SZSE.000002'], date='2017-10-09')\n",
    "print(factor_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>code</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>open_interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>code</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>open_interest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_data = at.get_kdata(target_list=[\"SZSE.000002\"], frequency='day', fre_num=1, begin_date=\"2016-01-04\",\n",
    "                            end_date=\"2016-01-29\", fill_up=False, df=True, fq=1, sort_by_date=True)\n",
    "day_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'strategy_name': 'PE', 'strategy_id': '6523427790857957384'},\n {'strategy_name': 'PB', 'strategy_id': '6523429070489776137'}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "at.get_strategy_id()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDotDict([('strategy_name', 'PB'),\n                ('cum_return', -0.02642452863992275),\n                ('annu_return', -0.027290906628116937),\n                ('max_drawback_rate', 0.058484028350949235),\n                ('init_cash', 1000000.0),\n                ('total_property', 973575.4713600773),\n                ('begin_date',\n                 array([datetime.datetime(2016, 1, 4, 0, 0)], dtype=object)),\n                ('end_date',\n                 array([datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)),\n                ('cum_return_bm', -0.0458293385020635),\n                ('alpha', -0.036801804614476866),\n                ('beta', 0.08163589427066503),\n                ('sharpe_ratio', -0.9343029306338293),\n                ('info_ratio', 0.41978061831944935),\n                ('turnover_rate', 2.8431454548229884),\n                ('net_profit', -26424.528639922748),\n                ('gross_profit', 55862.644068291265),\n                ('gross_loss', -82287.17270821401),\n                ('profit_factor', 0.6788742671519079),\n                ('long_net_profit', -26424.528639922748),\n                ('short_net_profit', 0.0),\n                ('aver_return', -0.027290906628116937),\n                ('max_drawback', 59768.828910265234),\n                ('commission_paid', 12213.635132797372),\n                ('slide_paid', 0.0),\n                ('target_nums', 298),\n                ('calmar_ratio', -0.8084084457566164),\n                ('sortino_ratio', -1.1461765664727694),\n                ('net_profit2max_po_loss', 0.0),\n                ('commission2np', -0.46220824973750896),\n                ('trading_days', 244),\n                ('aver_holding_time', 33.34138636093267),\n                ('max_drawdown_period', '2016-12-01 ~ 2016-12-29'),\n                ('max_loss_duration', -95.0),\n                ('max_con_profit_days', 7),\n                ('max_con_loss_days', 101),\n                ('max_con_profit', 13426.7962993007),\n                ('max_con_loss', -22157.6627353436),\n                ('total_trade', 934),\n                ('none_close_trade', 209),\n                ('profit_trade', 340),\n                ('loss_trade', 594),\n                ('odds', 0.3640256959314775),\n                ('aver_profit', 164.3018943185037),\n                ('aver_loss', -138.53059378487208),\n                ('pl_ratio', 1.1860332784948038),\n                ('turnover_day', 88.63422712774619),\n                ('net_value_arr',\n                 [{'name': array(['净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线', '净值曲线',\n                          '净值曲线', '净值曲线', '净值曲线', '净值曲线'], dtype='<U4'),\n                   'nvalue': array([1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 1.        ,\n                          1.        , 1.        , 1.        , 1.        , 0.99868728,\n                          0.99802456, 0.99997443, 1.00114461, 1.00114505, 1.00174686,\n                          0.99958867, 0.97958919, 0.98011078, 0.98926108, 0.98499056,\n                          0.98599505, 0.98597588, 0.98524466, 0.98733043, 0.98680132,\n                          0.98474571, 0.98814008, 0.99025782, 0.99126245, 0.99056445,\n                          0.99107373, 0.9997443 , 1.00004053, 1.00098102, 1.00080719,\n                          0.99869063, 0.99891591, 1.00782783, 1.01211743, 1.01209503,\n                          1.01186325, 1.00939315, 1.00931773, 1.00835952, 1.0097315 ,\n                          1.00705063, 1.00781425, 1.01188096, 1.00196355, 1.00303267,\n                          1.00037828, 0.99657659, 0.99890576, 0.99912007, 1.00042392,\n                          1.0001136 , 1.00463926, 1.00713351, 1.00459912, 1.0006139 ,\n                          1.00536841, 1.01209506, 1.0120961 , 1.0131404 , 1.01155872,\n                          1.01154522, 1.00845655, 1.00926195, 1.00867375, 1.00479264,\n                          1.00637102, 1.00837768, 1.00738142, 1.0090666 , 1.00414448,\n                          1.00383033, 1.00768205, 1.01576427, 1.01450135, 1.01365435,\n                          1.01118536, 1.00450618, 1.00489302, 1.0026645 , 1.00586285,\n                          1.00546303, 1.00640113, 1.00765225, 1.00599917, 0.99852108,\n                          1.00090594, 0.99957287, 1.0002777 , 1.00267459, 1.00783645,\n                          1.00998083, 1.0089473 , 1.00848002, 1.00815544, 1.00443893,\n                          1.00443893, 1.00443893, 1.00443893, 1.00373096, 1.0044216 ,\n                          1.00517938, 1.00551031, 1.00558225, 1.00566378, 1.00481542,\n                          1.00905918, 1.00453602, 1.00707876, 1.00563362, 1.00457453,\n                          1.00712297, 1.00267268, 1.00810246, 1.01014442, 1.01208893,\n                          1.01099601, 1.01096543, 1.01169939, 1.00865559, 1.01030457,\n                          1.0132667 , 1.01362915, 1.01596918, 1.01787428, 1.02007182,\n                          1.02114846, 1.01645471, 1.0219684 , 1.0137571 , 1.00275665,\n                          1.00204251, 1.00547354, 1.00276559, 1.00371085, 0.98486648,\n                          0.98632014, 0.98216279, 0.97971073, 0.98202451, 0.98019499,\n                          0.97634989, 0.97985256, 0.9802011 , 0.97470047, 0.97589787,\n                          0.97555787, 0.97397303, 0.96219957, 0.97357547]),\n                   'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                          datetime.datetime(2016, 1, 5, 0, 0),\n                          datetime.datetime(2016, 1, 6, 0, 0),\n                          datetime.datetime(2016, 1, 7, 0, 0),\n                          datetime.datetime(2016, 1, 8, 0, 0),\n                          datetime.datetime(2016, 1, 11, 0, 0),\n                          datetime.datetime(2016, 1, 12, 0, 0),\n                          datetime.datetime(2016, 1, 13, 0, 0),\n                          datetime.datetime(2016, 1, 14, 0, 0),\n                          datetime.datetime(2016, 1, 15, 0, 0),\n                          datetime.datetime(2016, 1, 18, 0, 0),\n                          datetime.datetime(2016, 1, 19, 0, 0),\n                          datetime.datetime(2016, 1, 20, 0, 0),\n                          datetime.datetime(2016, 1, 21, 0, 0),\n                          datetime.datetime(2016, 1, 22, 0, 0),\n                          datetime.datetime(2016, 1, 25, 0, 0),\n                          datetime.datetime(2016, 1, 26, 0, 0),\n                          datetime.datetime(2016, 1, 27, 0, 0),\n                          datetime.datetime(2016, 1, 28, 0, 0),\n                          datetime.datetime(2016, 1, 29, 0, 0),\n                          datetime.datetime(2016, 2, 1, 0, 0),\n                          datetime.datetime(2016, 2, 2, 0, 0),\n                          datetime.datetime(2016, 2, 3, 0, 0),\n                          datetime.datetime(2016, 2, 4, 0, 0),\n                          datetime.datetime(2016, 2, 5, 0, 0),\n                          datetime.datetime(2016, 2, 15, 0, 0),\n                          datetime.datetime(2016, 2, 16, 0, 0),\n                          datetime.datetime(2016, 2, 17, 0, 0),\n                          datetime.datetime(2016, 2, 18, 0, 0),\n                          datetime.datetime(2016, 2, 19, 0, 0),\n                          datetime.datetime(2016, 2, 22, 0, 0),\n                          datetime.datetime(2016, 2, 23, 0, 0),\n                          datetime.datetime(2016, 2, 24, 0, 0),\n                          datetime.datetime(2016, 2, 25, 0, 0),\n                          datetime.datetime(2016, 2, 26, 0, 0),\n                          datetime.datetime(2016, 2, 29, 0, 0),\n                          datetime.datetime(2016, 3, 1, 0, 0),\n                          datetime.datetime(2016, 3, 2, 0, 0),\n                          datetime.datetime(2016, 3, 3, 0, 0),\n                          datetime.datetime(2016, 3, 4, 0, 0),\n                          datetime.datetime(2016, 3, 7, 0, 0),\n                          datetime.datetime(2016, 3, 8, 0, 0),\n                          datetime.datetime(2016, 3, 9, 0, 0),\n                          datetime.datetime(2016, 3, 10, 0, 0),\n                          datetime.datetime(2016, 3, 11, 0, 0),\n                          datetime.datetime(2016, 3, 14, 0, 0),\n                          datetime.datetime(2016, 3, 15, 0, 0),\n                          datetime.datetime(2016, 3, 16, 0, 0),\n                          datetime.datetime(2016, 3, 17, 0, 0),\n                          datetime.datetime(2016, 3, 18, 0, 0),\n                          datetime.datetime(2016, 3, 21, 0, 0),\n                          datetime.datetime(2016, 3, 22, 0, 0),\n                          datetime.datetime(2016, 3, 23, 0, 0),\n                          datetime.datetime(2016, 3, 24, 0, 0),\n                          datetime.datetime(2016, 3, 25, 0, 0),\n                          datetime.datetime(2016, 3, 28, 0, 0),\n                          datetime.datetime(2016, 3, 29, 0, 0),\n                          datetime.datetime(2016, 3, 30, 0, 0),\n                          datetime.datetime(2016, 3, 31, 0, 0),\n                          datetime.datetime(2016, 4, 1, 0, 0),\n                          datetime.datetime(2016, 4, 5, 0, 0),\n                          datetime.datetime(2016, 4, 6, 0, 0),\n                          datetime.datetime(2016, 4, 7, 0, 0),\n                          datetime.datetime(2016, 4, 8, 0, 0),\n                          datetime.datetime(2016, 4, 11, 0, 0),\n                          datetime.datetime(2016, 4, 12, 0, 0),\n                          datetime.datetime(2016, 4, 13, 0, 0),\n                          datetime.datetime(2016, 4, 14, 0, 0),\n                          datetime.datetime(2016, 4, 15, 0, 0),\n                          datetime.datetime(2016, 4, 18, 0, 0),\n                          datetime.datetime(2016, 4, 19, 0, 0),\n                          datetime.datetime(2016, 4, 20, 0, 0),\n                          datetime.datetime(2016, 4, 21, 0, 0),\n                          datetime.datetime(2016, 4, 22, 0, 0),\n                          datetime.datetime(2016, 4, 25, 0, 0),\n                          datetime.datetime(2016, 4, 26, 0, 0),\n                          datetime.datetime(2016, 4, 27, 0, 0),\n                          datetime.datetime(2016, 4, 28, 0, 0),\n                          datetime.datetime(2016, 4, 29, 0, 0),\n                          datetime.datetime(2016, 5, 3, 0, 0),\n                          datetime.datetime(2016, 5, 4, 0, 0),\n                          datetime.datetime(2016, 5, 5, 0, 0),\n                          datetime.datetime(2016, 5, 6, 0, 0),\n                          datetime.datetime(2016, 5, 9, 0, 0),\n                          datetime.datetime(2016, 5, 10, 0, 0),\n                          datetime.datetime(2016, 5, 11, 0, 0),\n                          datetime.datetime(2016, 5, 12, 0, 0),\n                          datetime.datetime(2016, 5, 13, 0, 0),\n                          datetime.datetime(2016, 5, 16, 0, 0),\n                          datetime.datetime(2016, 5, 17, 0, 0),\n                          datetime.datetime(2016, 5, 18, 0, 0),\n                          datetime.datetime(2016, 5, 19, 0, 0),\n                          datetime.datetime(2016, 5, 20, 0, 0),\n                          datetime.datetime(2016, 5, 23, 0, 0),\n                          datetime.datetime(2016, 5, 24, 0, 0),\n                          datetime.datetime(2016, 5, 25, 0, 0),\n                          datetime.datetime(2016, 5, 26, 0, 0),\n                          datetime.datetime(2016, 5, 27, 0, 0),\n                          datetime.datetime(2016, 5, 30, 0, 0),\n                          datetime.datetime(2016, 5, 31, 0, 0),\n                          datetime.datetime(2016, 6, 1, 0, 0),\n                          datetime.datetime(2016, 6, 2, 0, 0),\n                          datetime.datetime(2016, 6, 3, 0, 0),\n                          datetime.datetime(2016, 6, 6, 0, 0),\n                          datetime.datetime(2016, 6, 7, 0, 0),\n                          datetime.datetime(2016, 6, 8, 0, 0),\n                          datetime.datetime(2016, 6, 13, 0, 0),\n                          datetime.datetime(2016, 6, 14, 0, 0),\n                          datetime.datetime(2016, 6, 15, 0, 0),\n                          datetime.datetime(2016, 6, 16, 0, 0),\n                          datetime.datetime(2016, 6, 17, 0, 0),\n                          datetime.datetime(2016, 6, 20, 0, 0),\n                          datetime.datetime(2016, 6, 21, 0, 0),\n                          datetime.datetime(2016, 6, 22, 0, 0),\n                          datetime.datetime(2016, 6, 23, 0, 0),\n                          datetime.datetime(2016, 6, 24, 0, 0),\n                          datetime.datetime(2016, 6, 27, 0, 0),\n                          datetime.datetime(2016, 6, 28, 0, 0),\n                          datetime.datetime(2016, 6, 29, 0, 0),\n                          datetime.datetime(2016, 6, 30, 0, 0),\n                          datetime.datetime(2016, 7, 1, 0, 0),\n                          datetime.datetime(2016, 7, 4, 0, 0),\n                          datetime.datetime(2016, 7, 5, 0, 0),\n                          datetime.datetime(2016, 7, 6, 0, 0),\n                          datetime.datetime(2016, 7, 7, 0, 0),\n                          datetime.datetime(2016, 7, 8, 0, 0),\n                          datetime.datetime(2016, 7, 11, 0, 0),\n                          datetime.datetime(2016, 7, 12, 0, 0),\n                          datetime.datetime(2016, 7, 13, 0, 0),\n                          datetime.datetime(2016, 7, 14, 0, 0),\n                          datetime.datetime(2016, 7, 15, 0, 0),\n                          datetime.datetime(2016, 7, 18, 0, 0),\n                          datetime.datetime(2016, 7, 19, 0, 0),\n                          datetime.datetime(2016, 7, 20, 0, 0),\n                          datetime.datetime(2016, 7, 21, 0, 0),\n                          datetime.datetime(2016, 7, 22, 0, 0),\n                          datetime.datetime(2016, 7, 25, 0, 0),\n                          datetime.datetime(2016, 7, 26, 0, 0),\n                          datetime.datetime(2016, 7, 27, 0, 0),\n                          datetime.datetime(2016, 7, 28, 0, 0),\n                          datetime.datetime(2016, 7, 29, 0, 0),\n                          datetime.datetime(2016, 8, 1, 0, 0),\n                          datetime.datetime(2016, 8, 2, 0, 0),\n                          datetime.datetime(2016, 8, 3, 0, 0),\n                          datetime.datetime(2016, 8, 4, 0, 0),\n                          datetime.datetime(2016, 8, 5, 0, 0),\n                          datetime.datetime(2016, 8, 8, 0, 0),\n                          datetime.datetime(2016, 8, 9, 0, 0),\n                          datetime.datetime(2016, 8, 10, 0, 0),\n                          datetime.datetime(2016, 8, 11, 0, 0),\n                          datetime.datetime(2016, 8, 12, 0, 0),\n                          datetime.datetime(2016, 8, 15, 0, 0),\n                          datetime.datetime(2016, 8, 16, 0, 0),\n                          datetime.datetime(2016, 8, 17, 0, 0),\n                          datetime.datetime(2016, 8, 18, 0, 0),\n                          datetime.datetime(2016, 8, 19, 0, 0),\n                          datetime.datetime(2016, 8, 22, 0, 0),\n                          datetime.datetime(2016, 8, 23, 0, 0),\n                          datetime.datetime(2016, 8, 24, 0, 0),\n                          datetime.datetime(2016, 8, 25, 0, 0),\n                          datetime.datetime(2016, 8, 26, 0, 0),\n                          datetime.datetime(2016, 8, 29, 0, 0),\n                          datetime.datetime(2016, 8, 30, 0, 0),\n                          datetime.datetime(2016, 8, 31, 0, 0),\n                          datetime.datetime(2016, 9, 1, 0, 0),\n                          datetime.datetime(2016, 9, 2, 0, 0),\n                          datetime.datetime(2016, 9, 5, 0, 0),\n                          datetime.datetime(2016, 9, 6, 0, 0),\n                          datetime.datetime(2016, 9, 7, 0, 0),\n                          datetime.datetime(2016, 9, 8, 0, 0),\n                          datetime.datetime(2016, 9, 9, 0, 0),\n                          datetime.datetime(2016, 9, 12, 0, 0),\n                          datetime.datetime(2016, 9, 13, 0, 0),\n                          datetime.datetime(2016, 9, 14, 0, 0),\n                          datetime.datetime(2016, 9, 19, 0, 0),\n                          datetime.datetime(2016, 9, 20, 0, 0),\n                          datetime.datetime(2016, 9, 21, 0, 0),\n                          datetime.datetime(2016, 9, 22, 0, 0),\n                          datetime.datetime(2016, 9, 23, 0, 0),\n                          datetime.datetime(2016, 9, 26, 0, 0),\n                          datetime.datetime(2016, 9, 27, 0, 0),\n                          datetime.datetime(2016, 9, 28, 0, 0),\n                          datetime.datetime(2016, 9, 29, 0, 0),\n                          datetime.datetime(2016, 9, 30, 0, 0),\n                          datetime.datetime(2016, 10, 10, 0, 0),\n                          datetime.datetime(2016, 10, 11, 0, 0),\n                          datetime.datetime(2016, 10, 12, 0, 0),\n                          datetime.datetime(2016, 10, 13, 0, 0),\n                          datetime.datetime(2016, 10, 14, 0, 0),\n                          datetime.datetime(2016, 10, 17, 0, 0),\n                          datetime.datetime(2016, 10, 18, 0, 0),\n                          datetime.datetime(2016, 10, 19, 0, 0),\n                          datetime.datetime(2016, 10, 20, 0, 0),\n                          datetime.datetime(2016, 10, 21, 0, 0),\n                          datetime.datetime(2016, 10, 24, 0, 0),\n                          datetime.datetime(2016, 10, 25, 0, 0),\n                          datetime.datetime(2016, 10, 26, 0, 0),\n                          datetime.datetime(2016, 10, 27, 0, 0),\n                          datetime.datetime(2016, 10, 28, 0, 0),\n                          datetime.datetime(2016, 10, 31, 0, 0),\n                          datetime.datetime(2016, 11, 1, 0, 0),\n                          datetime.datetime(2016, 11, 2, 0, 0),\n                          datetime.datetime(2016, 11, 3, 0, 0),\n                          datetime.datetime(2016, 11, 4, 0, 0),\n                          datetime.datetime(2016, 11, 7, 0, 0),\n                          datetime.datetime(2016, 11, 8, 0, 0),\n                          datetime.datetime(2016, 11, 9, 0, 0),\n                          datetime.datetime(2016, 11, 10, 0, 0),\n                          datetime.datetime(2016, 11, 11, 0, 0),\n                          datetime.datetime(2016, 11, 14, 0, 0),\n                          datetime.datetime(2016, 11, 15, 0, 0),\n                          datetime.datetime(2016, 11, 16, 0, 0),\n                          datetime.datetime(2016, 11, 17, 0, 0),\n                          datetime.datetime(2016, 11, 18, 0, 0),\n                          datetime.datetime(2016, 11, 21, 0, 0),\n                          datetime.datetime(2016, 11, 22, 0, 0),\n                          datetime.datetime(2016, 11, 23, 0, 0),\n                          datetime.datetime(2016, 11, 24, 0, 0),\n                          datetime.datetime(2016, 11, 25, 0, 0),\n                          datetime.datetime(2016, 11, 28, 0, 0),\n                          datetime.datetime(2016, 11, 29, 0, 0),\n                          datetime.datetime(2016, 11, 30, 0, 0),\n                          datetime.datetime(2016, 12, 1, 0, 0),\n                          datetime.datetime(2016, 12, 2, 0, 0),\n                          datetime.datetime(2016, 12, 5, 0, 0),\n                          datetime.datetime(2016, 12, 6, 0, 0),\n                          datetime.datetime(2016, 12, 7, 0, 0),\n                          datetime.datetime(2016, 12, 8, 0, 0),\n                          datetime.datetime(2016, 12, 9, 0, 0),\n                          datetime.datetime(2016, 12, 12, 0, 0),\n                          datetime.datetime(2016, 12, 13, 0, 0),\n                          datetime.datetime(2016, 12, 14, 0, 0),\n                          datetime.datetime(2016, 12, 15, 0, 0),\n                          datetime.datetime(2016, 12, 16, 0, 0),\n                          datetime.datetime(2016, 12, 19, 0, 0),\n                          datetime.datetime(2016, 12, 20, 0, 0),\n                          datetime.datetime(2016, 12, 21, 0, 0),\n                          datetime.datetime(2016, 12, 22, 0, 0),\n                          datetime.datetime(2016, 12, 23, 0, 0),\n                          datetime.datetime(2016, 12, 26, 0, 0),\n                          datetime.datetime(2016, 12, 27, 0, 0),\n                          datetime.datetime(2016, 12, 28, 0, 0),\n                          datetime.datetime(2016, 12, 29, 0, 0),\n                          datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)},\n                  {'name': array(['沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300',\n                          '沪深300', '沪深300', '沪深300', '沪深300', '沪深300', '沪深300'], dtype='<U5'),\n                   'nvalue': array([1.        , 1.00280018, 1.02039223, 0.94964581, 0.96901097,\n                          0.92026211, 0.92696709, 0.90972008, 0.92865659, 0.89901143,\n                          0.90247029, 0.92910455, 0.91505264, 0.88823476, 0.89749316,\n                          0.90193902, 0.84763709, 0.84470921, 0.82262949, 0.84924588,\n                          0.83626198, 0.85364014, 0.84998066, 0.86039297, 0.85434783,\n                          0.84942374, 0.87546187, 0.88303884, 0.88026547, 0.87965608,\n                          0.89905121, 0.89054604, 0.89636375, 0.84136479, 0.84980539,\n                          0.82946447, 0.8448078 , 0.87958344, 0.88162693, 0.89185101,\n                          0.89500747, 0.89582412, 0.88551414, 0.86857558, 0.87005667,\n                          0.88372202, 0.88634232, 0.89073918, 0.90058938, 0.91435649,\n                          0.9366893 , 0.92987277, 0.93284244, 0.91720682, 0.92180921,\n                          0.91371222, 0.90381964, 0.92712995, 0.92765257, 0.92874999,\n                          0.94102735, 0.93902163, 0.92511644, 0.91832384, 0.93111402,\n                          0.92775692, 0.94013288, 0.94429798, 0.94325245, 0.93064041,\n                          0.93347979, 0.91696901, 0.91108183, 0.9152034 , 0.91149404,\n                          0.9164314 , 0.91261337, 0.91107549, 0.90996972, 0.92634156,\n                          0.92516574, 0.9264511 , 0.90236219, 0.8837004 , 0.88470845,\n                          0.88865677, 0.89076916, 0.886387  , 0.89226005, 0.88958382,\n                          0.88439828, 0.88280246, 0.88733336, 0.88992916, 0.88310687,\n                          0.88185869, 0.88329568, 0.88280217, 0.88401604, 0.91366379,\n                          0.91106569, 0.91295467, 0.91936158, 0.91632388, 0.91582403,\n                          0.91205702, 0.88390967, 0.8866891 , 0.89833056, 0.89207729,\n                          0.89659782, 0.89726572, 0.89543353, 0.90340195, 0.89860412,\n                          0.88702694, 0.89953434, 0.90410531, 0.90842607, 0.90915566,\n                          0.90923609, 0.92379217, 0.92456673, 0.92728244, 0.92530785,\n                          0.92021311, 0.9233984 , 0.94353408, 0.94632619, 0.94456664,\n                          0.94442654, 0.94031708, 0.93634252, 0.93327858, 0.93757888,\n                          0.92969174, 0.93134146, 0.94249807, 0.92769725, 0.92853148,\n                          0.92357136, 0.9157534 , 0.91928288, 0.9205668 , 0.92281006,\n                          0.92391151, 0.93229215, 0.93886395, 0.93493205, 0.93205491,\n                          0.94960257, 0.97819528, 0.97381975, 0.97232166, 0.96985327,\n                          0.97000749, 0.96187129, 0.96332269, 0.95987306, 0.95385098,\n                          0.95330847, 0.95350766, 0.95472009, 0.95927665, 0.95171928,\n                          0.95533322, 0.95693769, 0.96355215, 0.96303068, 0.96266949,\n                          0.95646609, 0.94048485, 0.9398302 , 0.93360288, 0.94063474,\n                          0.93898559, 0.94164712, 0.94870521, 0.94425041, 0.9282856 ,\n                          0.93418661, 0.9313429 , 0.93523358, 0.93779853, 0.94949736,\n                          0.95315483, 0.95126757, 0.95202743, 0.95295045, 0.94488805,\n                          0.9574139 , 0.95594636, 0.95662752, 0.95926108, 0.97074486,\n                          0.97070941, 0.96706145, 0.96443683, 0.96283149, 0.96172226,\n                          0.96828714, 0.96087881, 0.97002623, 0.96688129, 0.96757802,\n                          0.97176531, 0.96655843, 0.97738469, 0.98505506, 0.98881024,\n                          0.98870128, 0.98862114, 0.99062255, 0.98512251, 0.99194164,\n                          0.99979764, 1.00163243, 1.00567127, 1.0150565 , 1.01902962,\n                          1.0273774 , 1.01987134, 1.02766451, 1.01726372, 1.0000983 ,\n                          0.99714246, 1.00192588, 1.00031046, 1.00710105, 0.98273685,\n                          0.98154258, 0.97402154, 0.96292028, 0.96453368, 0.95961939,\n                          0.9538775 , 0.96237316, 0.96154758, 0.9534552 , 0.95772205,\n                          0.95598787, 0.95180922, 0.95062043, 0.95417066]),\n                   'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                          datetime.datetime(2016, 1, 5, 0, 0),\n                          datetime.datetime(2016, 1, 6, 0, 0),\n                          datetime.datetime(2016, 1, 7, 0, 0),\n                          datetime.datetime(2016, 1, 8, 0, 0),\n                          datetime.datetime(2016, 1, 11, 0, 0),\n                          datetime.datetime(2016, 1, 12, 0, 0),\n                          datetime.datetime(2016, 1, 13, 0, 0),\n                          datetime.datetime(2016, 1, 14, 0, 0),\n                          datetime.datetime(2016, 1, 15, 0, 0),\n                          datetime.datetime(2016, 1, 18, 0, 0),\n                          datetime.datetime(2016, 1, 19, 0, 0),\n                          datetime.datetime(2016, 1, 20, 0, 0),\n                          datetime.datetime(2016, 1, 21, 0, 0),\n                          datetime.datetime(2016, 1, 22, 0, 0),\n                          datetime.datetime(2016, 1, 25, 0, 0),\n                          datetime.datetime(2016, 1, 26, 0, 0),\n                          datetime.datetime(2016, 1, 27, 0, 0),\n                          datetime.datetime(2016, 1, 28, 0, 0),\n                          datetime.datetime(2016, 1, 29, 0, 0),\n                          datetime.datetime(2016, 2, 1, 0, 0),\n                          datetime.datetime(2016, 2, 2, 0, 0),\n                          datetime.datetime(2016, 2, 3, 0, 0),\n                          datetime.datetime(2016, 2, 4, 0, 0),\n                          datetime.datetime(2016, 2, 5, 0, 0),\n                          datetime.datetime(2016, 2, 15, 0, 0),\n                          datetime.datetime(2016, 2, 16, 0, 0),\n                          datetime.datetime(2016, 2, 17, 0, 0),\n                          datetime.datetime(2016, 2, 18, 0, 0),\n                          datetime.datetime(2016, 2, 19, 0, 0),\n                          datetime.datetime(2016, 2, 22, 0, 0),\n                          datetime.datetime(2016, 2, 23, 0, 0),\n                          datetime.datetime(2016, 2, 24, 0, 0),\n                          datetime.datetime(2016, 2, 25, 0, 0),\n                          datetime.datetime(2016, 2, 26, 0, 0),\n                          datetime.datetime(2016, 2, 29, 0, 0),\n                          datetime.datetime(2016, 3, 1, 0, 0),\n                          datetime.datetime(2016, 3, 2, 0, 0),\n                          datetime.datetime(2016, 3, 3, 0, 0),\n                          datetime.datetime(2016, 3, 4, 0, 0),\n                          datetime.datetime(2016, 3, 7, 0, 0),\n                          datetime.datetime(2016, 3, 8, 0, 0),\n                          datetime.datetime(2016, 3, 9, 0, 0),\n                          datetime.datetime(2016, 3, 10, 0, 0),\n                          datetime.datetime(2016, 3, 11, 0, 0),\n                          datetime.datetime(2016, 3, 14, 0, 0),\n                          datetime.datetime(2016, 3, 15, 0, 0),\n                          datetime.datetime(2016, 3, 16, 0, 0),\n                          datetime.datetime(2016, 3, 17, 0, 0),\n                          datetime.datetime(2016, 3, 18, 0, 0),\n                          datetime.datetime(2016, 3, 21, 0, 0),\n                          datetime.datetime(2016, 3, 22, 0, 0),\n                          datetime.datetime(2016, 3, 23, 0, 0),\n                          datetime.datetime(2016, 3, 24, 0, 0),\n                          datetime.datetime(2016, 3, 25, 0, 0),\n                          datetime.datetime(2016, 3, 28, 0, 0),\n                          datetime.datetime(2016, 3, 29, 0, 0),\n                          datetime.datetime(2016, 3, 30, 0, 0),\n                          datetime.datetime(2016, 3, 31, 0, 0),\n                          datetime.datetime(2016, 4, 1, 0, 0),\n                          datetime.datetime(2016, 4, 5, 0, 0),\n                          datetime.datetime(2016, 4, 6, 0, 0),\n                          datetime.datetime(2016, 4, 7, 0, 0),\n                          datetime.datetime(2016, 4, 8, 0, 0),\n                          datetime.datetime(2016, 4, 11, 0, 0),\n                          datetime.datetime(2016, 4, 12, 0, 0),\n                          datetime.datetime(2016, 4, 13, 0, 0),\n                          datetime.datetime(2016, 4, 14, 0, 0),\n                          datetime.datetime(2016, 4, 15, 0, 0),\n                          datetime.datetime(2016, 4, 18, 0, 0),\n                          datetime.datetime(2016, 4, 19, 0, 0),\n                          datetime.datetime(2016, 4, 20, 0, 0),\n                          datetime.datetime(2016, 4, 21, 0, 0),\n                          datetime.datetime(2016, 4, 22, 0, 0),\n                          datetime.datetime(2016, 4, 25, 0, 0),\n                          datetime.datetime(2016, 4, 26, 0, 0),\n                          datetime.datetime(2016, 4, 27, 0, 0),\n                          datetime.datetime(2016, 4, 28, 0, 0),\n                          datetime.datetime(2016, 4, 29, 0, 0),\n                          datetime.datetime(2016, 5, 3, 0, 0),\n                          datetime.datetime(2016, 5, 4, 0, 0),\n                          datetime.datetime(2016, 5, 5, 0, 0),\n                          datetime.datetime(2016, 5, 6, 0, 0),\n                          datetime.datetime(2016, 5, 9, 0, 0),\n                          datetime.datetime(2016, 5, 10, 0, 0),\n                          datetime.datetime(2016, 5, 11, 0, 0),\n                          datetime.datetime(2016, 5, 12, 0, 0),\n                          datetime.datetime(2016, 5, 13, 0, 0),\n                          datetime.datetime(2016, 5, 16, 0, 0),\n                          datetime.datetime(2016, 5, 17, 0, 0),\n                          datetime.datetime(2016, 5, 18, 0, 0),\n                          datetime.datetime(2016, 5, 19, 0, 0),\n                          datetime.datetime(2016, 5, 20, 0, 0),\n                          datetime.datetime(2016, 5, 23, 0, 0),\n                          datetime.datetime(2016, 5, 24, 0, 0),\n                          datetime.datetime(2016, 5, 25, 0, 0),\n                          datetime.datetime(2016, 5, 26, 0, 0),\n                          datetime.datetime(2016, 5, 27, 0, 0),\n                          datetime.datetime(2016, 5, 30, 0, 0),\n                          datetime.datetime(2016, 5, 31, 0, 0),\n                          datetime.datetime(2016, 6, 1, 0, 0),\n                          datetime.datetime(2016, 6, 2, 0, 0),\n                          datetime.datetime(2016, 6, 3, 0, 0),\n                          datetime.datetime(2016, 6, 6, 0, 0),\n                          datetime.datetime(2016, 6, 7, 0, 0),\n                          datetime.datetime(2016, 6, 8, 0, 0),\n                          datetime.datetime(2016, 6, 13, 0, 0),\n                          datetime.datetime(2016, 6, 14, 0, 0),\n                          datetime.datetime(2016, 6, 15, 0, 0),\n                          datetime.datetime(2016, 6, 16, 0, 0),\n                          datetime.datetime(2016, 6, 17, 0, 0),\n                          datetime.datetime(2016, 6, 20, 0, 0),\n                          datetime.datetime(2016, 6, 21, 0, 0),\n                          datetime.datetime(2016, 6, 22, 0, 0),\n                          datetime.datetime(2016, 6, 23, 0, 0),\n                          datetime.datetime(2016, 6, 24, 0, 0),\n                          datetime.datetime(2016, 6, 27, 0, 0),\n                          datetime.datetime(2016, 6, 28, 0, 0),\n                          datetime.datetime(2016, 6, 29, 0, 0),\n                          datetime.datetime(2016, 6, 30, 0, 0),\n                          datetime.datetime(2016, 7, 1, 0, 0),\n                          datetime.datetime(2016, 7, 4, 0, 0),\n                          datetime.datetime(2016, 7, 5, 0, 0),\n                          datetime.datetime(2016, 7, 6, 0, 0),\n                          datetime.datetime(2016, 7, 7, 0, 0),\n                          datetime.datetime(2016, 7, 8, 0, 0),\n                          datetime.datetime(2016, 7, 11, 0, 0),\n                          datetime.datetime(2016, 7, 12, 0, 0),\n                          datetime.datetime(2016, 7, 13, 0, 0),\n                          datetime.datetime(2016, 7, 14, 0, 0),\n                          datetime.datetime(2016, 7, 15, 0, 0),\n                          datetime.datetime(2016, 7, 18, 0, 0),\n                          datetime.datetime(2016, 7, 19, 0, 0),\n                          datetime.datetime(2016, 7, 20, 0, 0),\n                          datetime.datetime(2016, 7, 21, 0, 0),\n                          datetime.datetime(2016, 7, 22, 0, 0),\n                          datetime.datetime(2016, 7, 25, 0, 0),\n                          datetime.datetime(2016, 7, 26, 0, 0),\n                          datetime.datetime(2016, 7, 27, 0, 0),\n                          datetime.datetime(2016, 7, 28, 0, 0),\n                          datetime.datetime(2016, 7, 29, 0, 0),\n                          datetime.datetime(2016, 8, 1, 0, 0),\n                          datetime.datetime(2016, 8, 2, 0, 0),\n                          datetime.datetime(2016, 8, 3, 0, 0),\n                          datetime.datetime(2016, 8, 4, 0, 0),\n                          datetime.datetime(2016, 8, 5, 0, 0),\n                          datetime.datetime(2016, 8, 8, 0, 0),\n                          datetime.datetime(2016, 8, 9, 0, 0),\n                          datetime.datetime(2016, 8, 10, 0, 0),\n                          datetime.datetime(2016, 8, 11, 0, 0),\n                          datetime.datetime(2016, 8, 12, 0, 0),\n                          datetime.datetime(2016, 8, 15, 0, 0),\n                          datetime.datetime(2016, 8, 16, 0, 0),\n                          datetime.datetime(2016, 8, 17, 0, 0),\n                          datetime.datetime(2016, 8, 18, 0, 0),\n                          datetime.datetime(2016, 8, 19, 0, 0),\n                          datetime.datetime(2016, 8, 22, 0, 0),\n                          datetime.datetime(2016, 8, 23, 0, 0),\n                          datetime.datetime(2016, 8, 24, 0, 0),\n                          datetime.datetime(2016, 8, 25, 0, 0),\n                          datetime.datetime(2016, 8, 26, 0, 0),\n                          datetime.datetime(2016, 8, 29, 0, 0),\n                          datetime.datetime(2016, 8, 30, 0, 0),\n                          datetime.datetime(2016, 8, 31, 0, 0),\n                          datetime.datetime(2016, 9, 1, 0, 0),\n                          datetime.datetime(2016, 9, 2, 0, 0),\n                          datetime.datetime(2016, 9, 5, 0, 0),\n                          datetime.datetime(2016, 9, 6, 0, 0),\n                          datetime.datetime(2016, 9, 7, 0, 0),\n                          datetime.datetime(2016, 9, 8, 0, 0),\n                          datetime.datetime(2016, 9, 9, 0, 0),\n                          datetime.datetime(2016, 9, 12, 0, 0),\n                          datetime.datetime(2016, 9, 13, 0, 0),\n                          datetime.datetime(2016, 9, 14, 0, 0),\n                          datetime.datetime(2016, 9, 19, 0, 0),\n                          datetime.datetime(2016, 9, 20, 0, 0),\n                          datetime.datetime(2016, 9, 21, 0, 0),\n                          datetime.datetime(2016, 9, 22, 0, 0),\n                          datetime.datetime(2016, 9, 23, 0, 0),\n                          datetime.datetime(2016, 9, 26, 0, 0),\n                          datetime.datetime(2016, 9, 27, 0, 0),\n                          datetime.datetime(2016, 9, 28, 0, 0),\n                          datetime.datetime(2016, 9, 29, 0, 0),\n                          datetime.datetime(2016, 9, 30, 0, 0),\n                          datetime.datetime(2016, 10, 10, 0, 0),\n                          datetime.datetime(2016, 10, 11, 0, 0),\n                          datetime.datetime(2016, 10, 12, 0, 0),\n                          datetime.datetime(2016, 10, 13, 0, 0),\n                          datetime.datetime(2016, 10, 14, 0, 0),\n                          datetime.datetime(2016, 10, 17, 0, 0),\n                          datetime.datetime(2016, 10, 18, 0, 0),\n                          datetime.datetime(2016, 10, 19, 0, 0),\n                          datetime.datetime(2016, 10, 20, 0, 0),\n                          datetime.datetime(2016, 10, 21, 0, 0),\n                          datetime.datetime(2016, 10, 24, 0, 0),\n                          datetime.datetime(2016, 10, 25, 0, 0),\n                          datetime.datetime(2016, 10, 26, 0, 0),\n                          datetime.datetime(2016, 10, 27, 0, 0),\n                          datetime.datetime(2016, 10, 28, 0, 0),\n                          datetime.datetime(2016, 10, 31, 0, 0),\n                          datetime.datetime(2016, 11, 1, 0, 0),\n                          datetime.datetime(2016, 11, 2, 0, 0),\n                          datetime.datetime(2016, 11, 3, 0, 0),\n                          datetime.datetime(2016, 11, 4, 0, 0),\n                          datetime.datetime(2016, 11, 7, 0, 0),\n                          datetime.datetime(2016, 11, 8, 0, 0),\n                          datetime.datetime(2016, 11, 9, 0, 0),\n                          datetime.datetime(2016, 11, 10, 0, 0),\n                          datetime.datetime(2016, 11, 11, 0, 0),\n                          datetime.datetime(2016, 11, 14, 0, 0),\n                          datetime.datetime(2016, 11, 15, 0, 0),\n                          datetime.datetime(2016, 11, 16, 0, 0),\n                          datetime.datetime(2016, 11, 17, 0, 0),\n                          datetime.datetime(2016, 11, 18, 0, 0),\n                          datetime.datetime(2016, 11, 21, 0, 0),\n                          datetime.datetime(2016, 11, 22, 0, 0),\n                          datetime.datetime(2016, 11, 23, 0, 0),\n                          datetime.datetime(2016, 11, 24, 0, 0),\n                          datetime.datetime(2016, 11, 25, 0, 0),\n                          datetime.datetime(2016, 11, 28, 0, 0),\n                          datetime.datetime(2016, 11, 29, 0, 0),\n                          datetime.datetime(2016, 11, 30, 0, 0),\n                          datetime.datetime(2016, 12, 1, 0, 0),\n                          datetime.datetime(2016, 12, 2, 0, 0),\n                          datetime.datetime(2016, 12, 5, 0, 0),\n                          datetime.datetime(2016, 12, 6, 0, 0),\n                          datetime.datetime(2016, 12, 7, 0, 0),\n                          datetime.datetime(2016, 12, 8, 0, 0),\n                          datetime.datetime(2016, 12, 9, 0, 0),\n                          datetime.datetime(2016, 12, 12, 0, 0),\n                          datetime.datetime(2016, 12, 13, 0, 0),\n                          datetime.datetime(2016, 12, 14, 0, 0),\n                          datetime.datetime(2016, 12, 15, 0, 0),\n                          datetime.datetime(2016, 12, 16, 0, 0),\n                          datetime.datetime(2016, 12, 19, 0, 0),\n                          datetime.datetime(2016, 12, 20, 0, 0),\n                          datetime.datetime(2016, 12, 21, 0, 0),\n                          datetime.datetime(2016, 12, 22, 0, 0),\n                          datetime.datetime(2016, 12, 23, 0, 0),\n                          datetime.datetime(2016, 12, 26, 0, 0),\n                          datetime.datetime(2016, 12, 27, 0, 0),\n                          datetime.datetime(2016, 12, 28, 0, 0),\n                          datetime.datetime(2016, 12, 29, 0, 0),\n                          datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)}]),\n                ('tradelist_future', {}),\n                ('tradelist_stock',\n                 {'order_id': array([   1,  377, 1269, 1507,    2, 1508,    3,  654, 1509,    4,  378,\n                          819, 1510,  379,  602,  820, 1270, 1511,    5,  821, 1512,    6,\n                          533,  822, 1351,    7,  823, 1059, 1513,    8,  534, 1060, 1352,\n                            9,  824, 1514,   10,  380,   11,  381,  825, 1515,   12,  382,\n                          826, 1271, 1516,   13,  383,  827, 1517,  828, 1518,   14,  384,\n                          664, 1355,  829, 1519,  207,  665, 1272,  830, 1273, 1520,  536,\n                          605, 1274, 1521, 1631,   15,  831, 1522,   16,  832, 1357,  667,\n                         1358,  209,  668,  833, 1275, 1523, 1632, 1638,   17,  386,  834,\n                         1524,   18,  835, 1276,   19,  537,  836, 1277, 1526,  837, 1361,\n                           20,  838, 1278,   21, 1527,   22,  387,  839, 1528,   23, 1067,\n                         1529,   24,  388,  538,  606,  673,  840,  980, 1362,   25,  389,\n                          841, 1363,   26,  539,  607,  675,  842, 1279,  540,  843, 1280,\n                           27,  844, 1281, 1530,   28,  541,  845, 1531,   29,  390,  846,\n                         1532,   30,  542,  847, 1365,  218,  848, 1533,   31,  391,  849,\n                         1534,  392,  609,  850, 1366,   32,  851, 1367,  393,  852, 1368,\n                           33,  394,  853, 1535,   34,  683, 1282, 1536,   35,  854, 1370,\n                          395,  610,  855, 1537,  396,  856, 1538,   36,  397,  857, 1371,\n                           37,  398,  858, 1539,   38,  399,  859, 1083, 1372,  860, 1540,\n                           39,  861, 1541,  227,  862, 1542,  863, 1373,   40,  401, 1283,\n                         1543,  229, 1544,  402,  864, 1375,   41,  548,  865, 1376,   42,\n                          866, 1377,  867, 1545,   43,  549,  868, 1546,  404,  690, 1547,\n                          405,  691, 1548,   44,  869, 1284, 1549,  406,  870, 1285, 1550,\n                          553, 1380,   45,  407,  871, 1286, 1551,  408,  873, 1382,   47,\n                          556,  874, 1288,   48,  409,  875, 1090, 1383,   49,  410,  876,\n                         1384,   50,  411,  877, 1553,  878, 1385,  239,  698, 1289,  615,\n                          879, 1554,   51,  880, 1555,   52,  412,  881, 1290, 1556,   53,\n                          557, 1557,  882, 1558,  616,  883, 1559,   54,  413,  884, 1291,\n                         1560,  243,  885, 1561,  414,  886, 1388,  705, 1292, 1562,  415,\n                          706, 1293, 1563,  244,  707, 1391,  887, 1294, 1564,  417,  708,\n                         1393,   55, 1295, 1565,   56,  888, 1296, 1566,   57,  562, 1297,\n                         1567,  889, 1298,  419,  709, 1568,   58,  890, 1569,   59,  891,\n                         1397,   60,  420,  892, 1570,   61, 1107,  421, 1299,   62,  617,\n                         1300,  618,  422, 1400,   63,  423, 1301,   64,  424,  620, 1108,\n                           65,  425,  715, 1302,  256, 1303,   66,  622,  426,   67, 1110,\n                         1304,   68,  258, 1405,   69,  427,   70,  428, 1305,   71,  429,\n                          623,  722,  262, 1111,   72,   73,  430, 1407,   74,  431, 1306,\n                           75,  432, 1409,  266,  624, 1307,  434, 1114,   76,  435,  626,\n                          725,   77,   78,  436, 1116,   79,  437,  438, 1412,  270,  440,\n                           80,  441, 1117, 1413,  272,  627, 1308,   81, 1119, 1415,   82,\n                         1309,   83,  443, 1417,  274, 1310,  275,  730,   84, 1121, 1419,\n                           85,  446,  447,  731,   86,  732, 1420,   87,  448,  628, 1421,\n                          449, 1422,   88,   89,  450,  281, 1311,  451, 1424, 1425,   90,\n                         1426,  452,   91,   92,  454,  734, 1312, 1313,   93, 1125, 1314,\n                           94,  455, 1428,   95, 1429,  284,   96,  739, 1126,   97,  457,\n                         1430,   98, 1315,   99,  458, 1127, 1316,  100,  459, 1317,  101,\n                          460, 1318,  102,  461, 1435,  103,  104,  462,  463,  105, 1129,\n                         1319,  106, 1320,  107,  464,  108, 1321,  292, 1438,  745, 1322,\n                          109, 1130,  110,  746, 1323,  294, 1440,  466, 1441, 1442,  111,\n                         1443,  112,  467,  113,  468, 1324,  114,  469,  749, 1444,  298,\n                         1133,  470, 1445,  115,  471, 1134, 1325,  116,  472,  117,  118,\n                          473,  577,  635,  752,  119,  474,  753,  304, 1326,  120,  754,\n                         1327,  121,  475,  756, 1328,  122,  476,  893, 1136, 1571,  638,\n                          894, 1572,  123,  477,  758, 1449,  124,  478,  895, 1573,  125,\n                          479,  896, 1450,  126,  480, 1574,  127,  481,  897, 1575,  128,\n                          482,  898, 1451,  129,  483, 1452,  313, 1576,  130,  581, 1453,\n                          484,  899, 1454,  485,  900, 1577,  131,  486,  901, 1578,  132,\n                          487,  764, 1329, 1579,  317,  902, 1456,  133,  488,  903, 1457,\n                          134,  489, 1145, 1580,  904, 1458,  135,  490,  905, 1581,  136,\n                          906, 1582,  907, 1583,  137,  491,  908, 1331, 1584,  138,  492,\n                          909, 1585,  139,  493,  770, 1586,  140,  494,  910, 1587,  141,\n                          495, 1460,  496,  771, 1332, 1588,  142,  911, 1462,  143,  912,\n                         1589,  585, 1333, 1590,  144,  497,  913, 1151, 1464,  145,  586,\n                          914, 1591,  146,  915, 1465,  147,  498,  916, 1592,  329,  587,\n                          917, 1334, 1593,  148,  500,  918, 1467,  149,  501,  919, 1468,\n                          150, 1594,  332,  920, 1153, 1595,  502,  921, 1596,  151,  503,\n                          922, 1469,  152,  923, 1470,  153,  504,  924, 1597,  154,  505,\n                          925, 1335, 1598,  155,  506,  926, 1599,  927, 1156, 1472,  156,\n                          928, 1600,  338,  785, 1473,  157,  589,  929, 1601,  158,  590,\n                          930, 1336, 1602,  159,  507,  931, 1158, 1337, 1603,  160,  789,\n                         1604,  343, 1605,  508,  932, 1606,  161,  933, 1476,  162,  934,\n                         1607,  163,  647, 1338, 1608,  164,  935, 1478,  165,  509,  936,\n                         1479,  347,  937, 1339, 1609,  348,  793, 1610,  510,  938, 1481,\n                          166,  939, 1611,  167,  511,  940, 1340, 1612,  168,  594,  797,\n                         1613,  169,  512, 1483,  170,  941, 1484,  942, 1485,  171,  943,\n                         1486,  172,  513, 1614,  173,  514,  944,  174,  515,  945, 1615,\n                          175,  516,  946, 1616,  176,  947, 1617,  177,  517,  948, 1341,\n                          178,  518,  804, 1618,  179,  519,  949, 1488,  520,  950, 1342,\n                         1619,  180,  951, 1490,  181,  596,  952, 1343, 1620,  182,  953,\n                         1174, 1492,  183,  954, 1493,  184,  650,  955, 1494,  185,  521,\n                          956, 1495,  186,  522,  957, 1496,  187,  523,  812, 1344, 1621,\n                          188,  597,  958, 1345, 1622,  524,  959, 1177, 1499,  189,  599,\n                          960, 1500,  190,  525,  961, 1501,  191,  526, 1346, 1623,  192,\n                          600,  962, 1624,  193,  527,  963, 1178, 1503, 1625,  194,  528,\n                          964, 1347, 1626,  195,  529,  965, 1627,  530,  966, 1628,  374,\n                          967, 1629,  375,  968, 1181, 1348, 1630,  196,  969, 1506]),\n                  'market': array(['szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse', 'szse',\n                         'szse', 'szse', 'szse', 'szse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse',\n                         'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse', 'sse'],\n                        dtype='<U4'),\n                  'code': array(['000001', '000001', '000001', '000001', '000002', '000002',\n                         '000009', '000009', '000009', '000027', '000027', '000027',\n                         '000027', '000039', '000039', '000039', '000039', '000039',\n                         '000046', '000046', '000046', '000060', '000060', '000060',\n                         '000060', '000061', '000061', '000061', '000061', '000063',\n                         '000063', '000063', '000063', '000069', '000069', '000069',\n                         '000100', '000100', '000156', '000156', '000156', '000156',\n                         '000157', '000157', '000157', '000157', '000157', '000166',\n                         '000166', '000166', '000166', '000333', '000333', '000338',\n                         '000338', '000338', '000338', '000400', '000400', '000402',\n                         '000402', '000402', '000413', '000413', '000413', '000415',\n                         '000415', '000415', '000415', '000415', '000423', '000423',\n                         '000423', '000425', '000425', '000425', '000503', '000503',\n                         '000538', '000538', '000538', '000538', '000538', '000538',\n                         '000538', '000539', '000539', '000539', '000539', '000540',\n                         '000540', '000540', '000559', '000559', '000559', '000559',\n                         '000559', '000568', '000568', '000581', '000581', '000581',\n                         '000598', '000598', '000623', '000623', '000623', '000623',\n                         '000625', '000625', '000625', '000629', '000629', '000629',\n                         '000629', '000629', '000629', '000629', '000629', '000630',\n                         '000630', '000630', '000630', '000651', '000651', '000651',\n                         '000651', '000651', '000651', '000686', '000686', '000686',\n                         '000709', '000709', '000709', '000709', '000712', '000712',\n                         '000712', '000712', '000725', '000725', '000725', '000725',\n                         '000728', '000728', '000728', '000728', '000729', '000729',\n                         '000729', '000738', '000738', '000738', '000738', '000750',\n                         '000750', '000750', '000750', '000768', '000768', '000768',\n                         '000776', '000776', '000776', '000778', '000778', '000778',\n                         '000778', '000783', '000783', '000783', '000783', '000792',\n                         '000792', '000792', '000793', '000793', '000793', '000793',\n                         '000800', '000800', '000800', '000825', '000825', '000825',\n                         '000825', '000826', '000826', '000826', '000826', '000831',\n                         '000831', '000831', '000831', '000831', '000858', '000858',\n                         '000876', '000876', '000876', '000883', '000883', '000883',\n                         '000895', '000895', '000898', '000898', '000898', '000898',\n                         '000917', '000917', '000937', '000937', '000937', '000963',\n                         '000963', '000963', '000963', '000983', '000983', '000983',\n                         '000999', '000999', '001979', '001979', '001979', '001979',\n                         '002007', '002007', '002007', '002008', '002008', '002008',\n                         '002024', '002024', '002024', '002024', '002038', '002038',\n                         '002038', '002038', '002065', '002065', '002081', '002081',\n                         '002081', '002081', '002081', '002142', '002142', '002142',\n                         '002146', '002146', '002146', '002146', '002153', '002153',\n                         '002153', '002153', '002153', '002195', '002195', '002195',\n                         '002195', '002202', '002202', '002202', '002202', '002230',\n                         '002230', '002236', '002236', '002236', '002241', '002241',\n                         '002241', '002252', '002252', '002252', '002292', '002292',\n                         '002292', '002292', '002292', '002294', '002294', '002294',\n                         '002304', '002304', '002353', '002353', '002353', '002375',\n                         '002375', '002375', '002375', '002375', '002385', '002385',\n                         '002385', '002399', '002399', '002399', '002410', '002410',\n                         '002410', '002415', '002415', '002415', '002415', '002422',\n                         '002422', '002422', '002450', '002450', '002450', '002456',\n                         '002456', '002456', '002465', '002465', '002465', '002470',\n                         '002470', '002470', '002470', '002475', '002475', '002475',\n                         '002475', '002500', '002500', '002594', '002594', '002594',\n                         '002673', '002673', '002673', '002736', '002736', '002736',\n                         '002739', '002739', '002739', '002739', '300002', '300002',\n                         '300003', '300015', '300017', '300017', '300017', '300024',\n                         '300027', '300027', '300058', '300058', '300058', '300059',\n                         '300059', '300059', '300059', '300070', '300070', '300070',\n                         '300070', '300104', '300104', '300124', '300124', '300133',\n                         '300144', '300144', '300144', '300146', '300251', '300251',\n                         '300315', '300315', '600000', '600000', '600000', '600005',\n                         '600005', '600005', '600005', '600008', '600008', '600009',\n                         '600010', '600010', '600010', '600011', '600011', '600011',\n                         '600015', '600015', '600015', '600016', '600016', '600016',\n                         '600018', '600018', '600019', '600019', '600019', '600019',\n                         '600021', '600023', '600023', '600023', '600027', '600027',\n                         '600028', '600028', '600029', '600030', '600031', '600031',\n                         '600031', '600031', '600036', '600036', '600036', '600038',\n                         '600038', '600038', '600048', '600048', '600050', '600050',\n                         '600060', '600066', '600066', '600068', '600068', '600085',\n                         '600085', '600085', '600089', '600089', '600100', '600100',\n                         '600104', '600104', '600104', '600109', '600109', '600109',\n                         '600109', '600111', '600111', '600118', '600150', '600150',\n                         '600153', '600153', '600157', '600157', '600166', '600170',\n                         '600170', '600177', '600188', '600196', '600196', '600196',\n                         '600196', '600208', '600221', '600221', '600221', '600252',\n                         '600252', '600252', '600256', '600256', '600271', '600276',\n                         '600309', '600309', '600315', '600315', '600315', '600317',\n                         '600332', '600340', '600340', '600340', '600340', '600350',\n                         '600350', '600350', '600352', '600352', '600352', '600362',\n                         '600362', '600362', '600369', '600372', '600372', '600373',\n                         '600383', '600383', '600383', '600398', '600398', '600406',\n                         '600406', '600415', '600415', '600485', '600485', '600489',\n                         '600489', '600518', '600519', '600535', '600535', '600535',\n                         '600547', '600547', '600549', '600549', '600570', '600578',\n                         '600578', '600583', '600583', '600585', '600585', '600585',\n                         '600588', '600588', '600588', '600588', '600600', '600600',\n                         '600633', '600633', '600637', '600637', '600637', '600637',\n                         '600642', '600642', '600648', '600649', '600649', '600649',\n                         '600649', '600649', '600660', '600660', '600660', '600663',\n                         '600663', '600674', '600674', '600674', '600688', '600690',\n                         '600690', '600690', '600703', '600703', '600703', '600703',\n                         '600703', '600705', '600705', '600705', '600717', '600717',\n                         '600717', '600717', '600718', '600718', '600718', '600718',\n                         '600739', '600739', '600739', '600739', '600741', '600741',\n                         '600741', '600783', '600783', '600783', '600783', '600795',\n                         '600795', '600795', '600795', '600804', '600804', '600804',\n                         '600820', '600820', '600827', '600827', '600827', '600837',\n                         '600837', '600837', '600839', '600839', '600839', '600863',\n                         '600863', '600863', '600863', '600867', '600867', '600867',\n                         '600867', '600867', '600873', '600873', '600873', '600875',\n                         '600875', '600875', '600875', '600886', '600886', '600886',\n                         '600886', '600887', '600887', '600893', '600893', '600893',\n                         '600893', '600895', '600895', '600895', '600900', '600900',\n                         '600958', '600958', '600958', '600958', '600958', '600959',\n                         '600959', '600959', '600959', '600998', '600998', '600998',\n                         '600998', '600999', '600999', '600999', '600999', '601006',\n                         '601006', '601006', '601009', '601009', '601009', '601009',\n                         '601016', '601016', '601016', '601018', '601018', '601018',\n                         '601021', '601021', '601021', '601088', '601088', '601088',\n                         '601088', '601088', '601098', '601098', '601098', '601098',\n                         '601099', '601099', '601099', '601106', '601106', '601106',\n                         '601106', '601111', '601111', '601111', '601111', '601111',\n                         '601117', '601117', '601117', '601117', '601118', '601118',\n                         '601118', '601118', '601158', '601158', '601166', '601166',\n                         '601166', '601166', '601169', '601169', '601169', '601179',\n                         '601179', '601179', '601179', '601186', '601186', '601186',\n                         '601198', '601198', '601198', '601198', '601211', '601211',\n                         '601211', '601211', '601211', '601216', '601216', '601216',\n                         '601216', '601225', '601225', '601225', '601231', '601231',\n                         '601231', '601238', '601238', '601238', '601258', '601258',\n                         '601258', '601258', '601288', '601288', '601288', '601288',\n                         '601288', '601318', '601318', '601318', '601318', '601318',\n                         '601318', '601328', '601328', '601328', '601333', '601333',\n                         '601336', '601336', '601336', '601377', '601377', '601377',\n                         '601390', '601390', '601390', '601398', '601398', '601398',\n                         '601398', '601555', '601555', '601555', '601600', '601600',\n                         '601600', '601600', '601601', '601601', '601601', '601601',\n                         '601607', '601607', '601607', '601608', '601608', '601608',\n                         '601618', '601618', '601618', '601628', '601628', '601628',\n                         '601628', '601628', '601633', '601633', '601633', '601633',\n                         '601668', '601668', '601668', '601669', '601669', '601669',\n                         '601688', '601688', '601699', '601699', '601699', '601718',\n                         '601718', '601718', '601727', '601727', '601727', '601766',\n                         '601766', '601766', '601766', '601788', '601788', '601788',\n                         '601788', '601800', '601800', '601800', '601808', '601808',\n                         '601808', '601808', '601818', '601818', '601818', '601818',\n                         '601857', '601857', '601857', '601857', '601866', '601866',\n                         '601866', '601866', '601872', '601872', '601872', '601888',\n                         '601888', '601888', '601888', '601888', '601898', '601898',\n                         '601898', '601898', '601899', '601899', '601899', '601901',\n                         '601901', '601901', '601901', '601919', '601919', '601919',\n                         '601919', '601928', '601928', '601928', '601928', '601933',\n                         '601933', '601933', '601933', '601933', '601939', '601939',\n                         '601939', '601939', '601939', '601958', '601958', '601958',\n                         '601958', '601969', '601969', '601969', '601969', '601985',\n                         '601985', '601985', '601985', '601988', '601988', '601988',\n                         '601988', '601989', '601989', '601989', '601989', '601991',\n                         '601991', '601991', '601991', '601991', '601991', '601992',\n                         '601992', '601992', '601992', '601992', '601998', '601998',\n                         '601998', '601998', '603000', '603000', '603000', '603288',\n                         '603288', '603288', '603885', '603885', '603885', '603885',\n                         '603885', '603993', '603993', '603993'], dtype='<U6'),\n                  'shortname': array(['平安银行', '平安银行', '平安银行', '平安银行', '万科A', '万科A', '中国宝安', '中国宝安',\n                         '中国宝安', '深圳能源', '深圳能源', '深圳能源', '深圳能源', '中集集团', '中集集团', '中集集团',\n                         '中集集团', '中集集团', '泛海控股', '泛海控股', '泛海控股', '中金岭南', '中金岭南', '中金岭南',\n                         '中金岭南', '农产品', '农产品', '农产品', '农产品', '中兴通讯', '中兴通讯', '中兴通讯', '中兴通讯',\n                         '华侨城A', '华侨城A', '华侨城A', 'TCL集团', 'TCL集团', '华数传媒', '华数传媒', '华数传媒',\n                         '华数传媒', '中联重科', '中联重科', '中联重科', '中联重科', '中联重科', '申万宏源', '申万宏源',\n                         '申万宏源', '申万宏源', '美的集团', '美的集团', '潍柴动力', '潍柴动力', '潍柴动力', '潍柴动力',\n                         '许继电气', '许继电气', '金融街', '金融街', '金融街', '东旭光电', '东旭光电', '东旭光电',\n                         '渤海租赁', '渤海租赁', '渤海租赁', '渤海租赁', '渤海租赁', '东阿阿胶', '东阿阿胶', '东阿阿胶',\n                         '徐工机械', '徐工机械', '徐工机械', '国新健康', '国新健康', '云南白药', '云南白药', '云南白药',\n                         '云南白药', '云南白药', '云南白药', '云南白药', '粤电力A', '粤电力A', '粤电力A', '粤电力A',\n                         '中天金融', '中天金融', '中天金融', '万向钱潮', '万向钱潮', '万向钱潮', '万向钱潮', '万向钱潮',\n                         '泸州老窖', '泸州老窖', '威孚高科', '威孚高科', '威孚高科', '兴蓉环境', '兴蓉环境', '吉林敖东',\n                         '吉林敖东', '吉林敖东', '吉林敖东', '长安汽车', '长安汽车', '长安汽车', '攀钢钒钛', '攀钢钒钛',\n                         '攀钢钒钛', '攀钢钒钛', '攀钢钒钛', '攀钢钒钛', '攀钢钒钛', '攀钢钒钛', '铜陵有色', '铜陵有色',\n                         '铜陵有色', '铜陵有色', '格力电器', '格力电器', '格力电器', '格力电器', '格力电器', '格力电器',\n                         '东北证券', '东北证券', '东北证券', '河钢股份', '河钢股份', '河钢股份', '河钢股份', '锦龙股份',\n                         '锦龙股份', '锦龙股份', '锦龙股份', '京东方A', '京东方A', '京东方A', '京东方A', '国元证券',\n                         '国元证券', '国元证券', '国元证券', '燕京啤酒', '燕京啤酒', '燕京啤酒', '航发控制', '航发控制',\n                         '航发控制', '航发控制', '国海证券', '国海证券', '国海证券', '国海证券', '中航飞机', '中航飞机',\n                         '中航飞机', '广发证券', '广发证券', '广发证券', '新兴铸管', '新兴铸管', '新兴铸管', '新兴铸管',\n                         '长江证券', '长江证券', '长江证券', '长江证券', '盐湖股份', '盐湖股份', '盐湖股份', '华闻传媒',\n                         '华闻传媒', '华闻传媒', '华闻传媒', '一汽轿车', '一汽轿车', '一汽轿车', '太钢不锈', '太钢不锈',\n                         '太钢不锈', '太钢不锈', '启迪桑德', '启迪桑德', '启迪桑德', '启迪桑德', '五矿稀土', '五矿稀土',\n                         '五矿稀土', '五矿稀土', '五矿稀土', '五粮液', '五粮液', '新希望', '新希望', '新希望', '湖北能源',\n                         '湖北能源', '湖北能源', '双汇发展', '双汇发展', '鞍钢股份', '鞍钢股份', '鞍钢股份', '鞍钢股份',\n                         '电广传媒', '电广传媒', '冀中能源', '冀中能源', '冀中能源', '华东医药', '华东医药', '华东医药',\n                         '华东医药', '西山煤电', '西山煤电', '西山煤电', '华润三九', '华润三九', '招商蛇口', '招商蛇口',\n                         '招商蛇口', '招商蛇口', '华兰生物', '华兰生物', '华兰生物', '大族激光', '大族激光', '大族激光',\n                         '苏宁易购', '苏宁易购', '苏宁易购', '苏宁易购', '双鹭药业', '双鹭药业', '双鹭药业', '双鹭药业',\n                         '东华软件', '东华软件', '金螳螂', '金螳螂', '金螳螂', '金螳螂', '金螳螂', '宁波银行', '宁波银行',\n                         '宁波银行', '荣盛发展', '荣盛发展', '荣盛发展', '荣盛发展', '石基信息', '石基信息', '石基信息',\n                         '石基信息', '石基信息', '二三四五', '二三四五', '二三四五', '二三四五', '金风科技', '金风科技',\n                         '金风科技', '金风科技', '科大讯飞', '科大讯飞', '大华股份', '大华股份', '大华股份', '歌尔股份',\n                         '歌尔股份', '歌尔股份', '上海莱士', '上海莱士', '上海莱士', '奥飞娱乐', '奥飞娱乐', '奥飞娱乐',\n                         '奥飞娱乐', '奥飞娱乐', '信立泰', '信立泰', '信立泰', '洋河股份', '洋河股份', '杰瑞股份',\n                         '杰瑞股份', '杰瑞股份', '亚厦股份', '亚厦股份', '亚厦股份', '亚厦股份', '亚厦股份', '大北农',\n                         '大北农', '大北农', '海普瑞', '海普瑞', '海普瑞', '广联达', '广联达', '广联达', '海康威视',\n                         '海康威视', '海康威视', '海康威视', '科伦药业', '科伦药业', '科伦药业', 'ST康得新', 'ST康得新',\n                         'ST康得新', '欧菲光', '欧菲光', '欧菲光', '海格通信', '海格通信', '海格通信', '金正大', '金正大',\n                         '金正大', '金正大', '立讯精密', '立讯精密', '立讯精密', '立讯精密', '山西证券', '山西证券',\n                         '比亚迪', '比亚迪', '比亚迪', '西部证券', '西部证券', '西部证券', '国信证券', '国信证券',\n                         '国信证券', '万达电影', '万达电影', '万达电影', '万达电影', '神州泰岳', '神州泰岳', '乐普医疗',\n                         '爱尔眼科', '网宿科技', '网宿科技', '网宿科技', '机器人', '华谊兄弟', '华谊兄弟', '蓝色光标',\n                         '蓝色光标', '蓝色光标', '东方财富', '东方财富', '东方财富', '东方财富', '碧水源', '碧水源',\n                         '碧水源', '碧水源', '乐视网', '乐视网', '汇川技术', '汇川技术', '华策影视', '宋城演艺', '宋城演艺',\n                         '宋城演艺', '汤臣倍健', '光线传媒', '光线传媒', '掌趣科技', '掌趣科技', '浦发银行', '浦发银行',\n                         '浦发银行', '武钢股份', '武钢股份', '武钢股份', '武钢股份', '首创股份', '首创股份', '上海机场',\n                         '包钢股份', '包钢股份', '包钢股份', '华能国际', '华能国际', '华能国际', '华夏银行', '华夏银行',\n                         '华夏银行', '民生银行', '民生银行', '民生银行', '上港集团', '上港集团', '宝钢股份', '宝钢股份',\n                         '宝钢股份', '宝钢股份', '上海电力', '浙能电力', '浙能电力', '浙能电力', '华电国际', '华电国际',\n                         '中国石化', '中国石化', '南方航空', '中信证券', '三一重工', '三一重工', '三一重工', '三一重工',\n                         '招商银行', '招商银行', '招商银行', '中直股份', '中直股份', '中直股份', '保利地产', '保利地产',\n                         '中国联通', '中国联通', '海信电器', '宇通客车', '宇通客车', '葛洲坝', '葛洲坝', '同仁堂', '同仁堂',\n                         '同仁堂', '特变电工', '特变电工', '同方股份', '同方股份', '上汽集团', '上汽集团', '上汽集团',\n                         '国金证券', '国金证券', '国金证券', '国金证券', '北方稀土', '北方稀土', '中国卫星', '中国船舶',\n                         '中国船舶', '建发股份', '建发股份', '永泰能源', '永泰能源', '福田汽车', '上海建工', '上海建工',\n                         '雅戈尔', '兖州煤业', '复星医药', '复星医药', '复星医药', '复星医药', '新湖中宝', '海航控股',\n                         '海航控股', '海航控股', '中恒集团', '中恒集团', '中恒集团', '广汇能源', '广汇能源', '航天信息',\n                         '恒瑞医药', '万华化学', '万华化学', '上海家化', '上海家化', '上海家化', '营口港', '白云山',\n                         '华夏幸福', '华夏幸福', '华夏幸福', '华夏幸福', '山东高速', '山东高速', '山东高速', '浙江龙盛',\n                         '浙江龙盛', '浙江龙盛', '江西铜业', '江西铜业', '江西铜业', '西南证券', '中航电子', '中航电子',\n                         '中文传媒', '金地集团', '金地集团', '金地集团', '海澜之家', '海澜之家', '国电南瑞', '国电南瑞',\n                         '小商品城', '小商品城', '信威集团', '信威集团', '中金黄金', '中金黄金', '康美药业', '贵州茅台',\n                         '天士力', '天士力', '天士力', '山东黄金', '山东黄金', '厦门钨业', '厦门钨业', '恒生电子',\n                         '京能电力', '京能电力', '海油工程', '海油工程', '海螺水泥', '海螺水泥', '海螺水泥', '用友网络',\n                         '用友网络', '用友网络', '用友网络', '青岛啤酒', '青岛啤酒', '浙数文化', '浙数文化', '东方明珠',\n                         '东方明珠', '东方明珠', '东方明珠', '申能股份', '申能股份', '外高桥', '城投控股', '城投控股',\n                         '城投控股', '城投控股', '城投控股', '福耀玻璃', '福耀玻璃', '福耀玻璃', '陆家嘴', '陆家嘴',\n                         '川投能源', '川投能源', '川投能源', '上海石化', '青岛海尔', '青岛海尔', '青岛海尔', '三安光电',\n                         '三安光电', '三安光电', '三安光电', '三安光电', '中航资本', '中航资本', '中航资本', '天津港',\n                         '天津港', '天津港', '天津港', '东软集团', '东软集团', '东软集团', '东软集团', '辽宁成大',\n                         '辽宁成大', '辽宁成大', '辽宁成大', '华域汽车', '华域汽车', '华域汽车', '鲁信创投', '鲁信创投',\n                         '鲁信创投', '鲁信创投', '国电电力', '国电电力', '国电电力', '国电电力', '鹏博士', '鹏博士',\n                         '鹏博士', '隧道股份', '隧道股份', '百联股份', '百联股份', '百联股份', '海通证券', '海通证券',\n                         '海通证券', '四川长虹', '四川长虹', '四川长虹', '内蒙华电', '内蒙华电', '内蒙华电', '内蒙华电',\n                         '通化东宝', '通化东宝', '通化东宝', '通化东宝', '通化东宝', '梅花生物', '梅花生物', '梅花生物',\n                         '东方电气', '东方电气', '东方电气', '东方电气', '国投电力', '国投电力', '国投电力', '国投电力',\n                         '伊利股份', '伊利股份', '航发动力', '航发动力', '航发动力', '航发动力', '张江高科', '张江高科',\n                         '张江高科', '长江电力', '长江电力', '东方证券', '东方证券', '东方证券', '东方证券', '东方证券',\n                         '江苏有线', '江苏有线', '江苏有线', '江苏有线', '九州通', '九州通', '九州通', '九州通', '招商证券',\n                         '招商证券', '招商证券', '招商证券', '大秦铁路', '大秦铁路', '大秦铁路', '南京银行', '南京银行',\n                         '南京银行', '南京银行', '节能风电', '节能风电', '节能风电', '宁波港', '宁波港', '宁波港',\n                         '春秋航空', '春秋航空', '春秋航空', '中国神华', '中国神华', '中国神华', '中国神华', '中国神华',\n                         '中南传媒', '中南传媒', '中南传媒', '中南传媒', '太平洋', '太平洋', '太平洋', '中国一重',\n                         '中国一重', '中国一重', '中国一重', '中国国航', '中国国航', '中国国航', '中国国航', '中国国航',\n                         '中国化学', '中国化学', '中国化学', '中国化学', '海南橡胶', '海南橡胶', '海南橡胶', '海南橡胶',\n                         '重庆水务', '重庆水务', '兴业银行', '兴业银行', '兴业银行', '兴业银行', '北京银行', '北京银行',\n                         '北京银行', '中国西电', '中国西电', '中国西电', '中国西电', '中国铁建', '中国铁建', '中国铁建',\n                         '东兴证券', '东兴证券', '东兴证券', '东兴证券', '国泰君安', '国泰君安', '国泰君安', '国泰君安',\n                         '国泰君安', '君正集团', '君正集团', '君正集团', '君正集团', '陕西煤业', '陕西煤业', '陕西煤业',\n                         '环旭电子', '环旭电子', '环旭电子', '广汽集团', '广汽集团', '广汽集团', '庞大集团', '庞大集团',\n                         '庞大集团', '庞大集团', '农业银行', '农业银行', '农业银行', '农业银行', '农业银行', '中国平安',\n                         '中国平安', '中国平安', '中国平安', '中国平安', '中国平安', '交通银行', '交通银行', '交通银行',\n                         '广深铁路', '广深铁路', '新华保险', '新华保险', '新华保险', '兴业证券', '兴业证券', '兴业证券',\n                         '中国中铁', '中国中铁', '中国中铁', '工商银行', '工商银行', '工商银行', '工商银行', '东吴证券',\n                         '东吴证券', '东吴证券', '中国铝业', '中国铝业', '中国铝业', '中国铝业', '中国太保', '中国太保',\n                         '中国太保', '中国太保', '上海医药', '上海医药', '上海医药', '中信重工', '中信重工', '中信重工',\n                         '中国中冶', '中国中冶', '中国中冶', '中国人寿', '中国人寿', '中国人寿', '中国人寿', '中国人寿',\n                         '长城汽车', '长城汽车', '长城汽车', '长城汽车', '中国建筑', '中国建筑', '中国建筑', '中国电建',\n                         '中国电建', '中国电建', '华泰证券', '华泰证券', '潞安环能', '潞安环能', '潞安环能', '际华集团',\n                         '际华集团', '际华集团', '上海电气', '上海电气', '上海电气', '中国中车', '中国中车', '中国中车',\n                         '中国中车', '光大证券', '光大证券', '光大证券', '光大证券', '中国交建', '中国交建', '中国交建',\n                         '中海油服', '中海油服', '中海油服', '中海油服', '光大银行', '光大银行', '光大银行', '光大银行',\n                         '中国石油', '中国石油', '中国石油', '中国石油', '中远海发', '中远海发', '中远海发', '中远海发',\n                         '招商轮船', '招商轮船', '招商轮船', '中国国旅', '中国国旅', '中国国旅', '中国国旅', '中国国旅',\n                         '中煤能源', '中煤能源', '中煤能源', '中煤能源', '紫金矿业', '紫金矿业', '紫金矿业', '方正证券',\n                         '方正证券', '方正证券', '方正证券', '中远海控', '中远海控', '中远海控', '中远海控', '凤凰传媒',\n                         '凤凰传媒', '凤凰传媒', '凤凰传媒', '永辉超市', '永辉超市', '永辉超市', '永辉超市', '永辉超市',\n                         '建设银行', '建设银行', '建设银行', '建设银行', '建设银行', '金钼股份', '金钼股份', '金钼股份',\n                         '金钼股份', '海南矿业', '海南矿业', '海南矿业', '海南矿业', '中国核电', '中国核电', '中国核电',\n                         '中国核电', '中国银行', '中国银行', '中国银行', '中国银行', '中国重工', '中国重工', '中国重工',\n                         '中国重工', '大唐发电', '大唐发电', '大唐发电', '大唐发电', '大唐发电', '大唐发电', '金隅集团',\n                         '金隅集团', '金隅集团', '金隅集团', '金隅集团', '中信银行', '中信银行', '中信银行', '中信银行',\n                         '人民网', '人民网', '人民网', '海天味业', '海天味业', '海天味业', '吉祥航空', '吉祥航空',\n                         '吉祥航空', '吉祥航空', '吉祥航空', '洛阳钼业', '洛阳钼业', '洛阳钼业'], dtype='<U5'),\n                  'ls_type': array(['多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多',\n                         '多', '多', '多', '多', '多', '多', '多', '多', '多', '多', '多'], dtype='<U1'),\n                  'volume': array([300, 200, 800, 100, 300, 100, 300, 500, 100, 300, 200, 100, 100,\n                         200, 200, 100, 800, 100, 300, 100, 100, 300, 200, 100, 300, 300,\n                         100, 500, 100, 300, 200, 500, 300, 300, 100, 100, 300, 200, 300,\n                         200, 100, 100, 300, 200, 100, 800, 100, 300, 200, 100, 100, 100,\n                         100, 300, 200, 500, 300, 100, 100, 400, 500, 800, 100, 800, 100,\n                         200, 200, 800, 100, 100, 300, 100, 100, 300, 100, 200, 500, 200,\n                         500, 500, 100, 800, 100, 100, 100, 300, 200, 100, 100, 300, 100,\n                         800, 300, 200, 100, 800, 100, 100, 200, 300, 100, 800, 300, 100,\n                         300, 200, 100, 100, 300, 500, 100, 300, 200, 200, 200, 500, 100,\n                         100, 200, 300, 200, 100, 200, 300, 200, 200, 500, 100, 800, 200,\n                         100, 800, 300, 100, 800, 100, 300, 100, 100, 100, 300, 200, 100,\n                         100, 300, 200, 100, 200, 400, 100, 100, 300, 200, 100, 100, 200,\n                         200, 100, 200, 300, 100, 200, 200, 100, 200, 300, 200, 100, 100,\n                         300, 500, 800, 100, 300, 100, 200, 200, 200, 100, 100, 200, 100,\n                         100, 300, 200, 100, 200, 300, 200, 100, 100, 300, 200, 100, 500,\n                         200, 100, 100, 300, 100, 100, 400, 100, 100, 100, 200, 300, 200,\n                         700, 100, 400, 100, 200, 100, 200, 300, 200, 100, 200, 300, 100,\n                         200, 100, 100, 300, 200, 100, 100, 200, 500, 100, 200, 500, 100,\n                         300, 100, 700, 100, 200, 100, 700, 100, 200, 200, 300, 200, 100,\n                         700, 100, 200, 100, 200, 300, 200, 100, 800, 300, 200, 100, 500,\n                         200, 300, 200, 100, 200, 300, 200, 100, 100, 100, 200, 400, 500,\n                         800, 200, 100, 100, 300, 100, 100, 300, 200, 100, 800, 100, 300,\n                         200, 100, 100, 100, 200, 100, 100, 300, 200, 100, 800, 100, 400,\n                         100, 100, 200, 100, 200, 500, 800, 100, 200, 500, 800, 100, 400,\n                         500, 200, 100, 800, 100, 200, 500, 200, 300, 800, 100, 300, 100,\n                         800, 100, 300, 200, 700, 100, 100, 800, 200, 500, 100, 300, 100,\n                         100, 300, 100, 200, 300, 200, 100, 100, 100, 200, 100, 300, 100,\n                         100, 300, 100, 100, 100, 100, 100, 300, 100, 100, 100, 200, 100,\n                         100, 200, 300, 100, 300, 100, 100, 100, 100, 200, 300, 100, 100,\n                         100, 100, 100, 100, 100, 300, 100, 100, 100, 200, 100, 200, 100,\n                         100, 100, 100, 100, 100, 300, 100, 100, 100, 100, 100, 400, 100,\n                         200, 100, 100, 100, 200, 100, 100, 100, 200, 100, 100, 100, 100,\n                         100, 100, 100, 100, 200, 100, 100, 100, 400, 100, 200, 100, 100,\n                         400, 100, 100, 100, 100, 400, 100, 200, 100, 200, 100, 100, 100,\n                         100, 200, 100, 200, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n                         100, 100, 300, 100, 100, 100, 100, 100, 100, 100, 100, 100, 200,\n                         300, 300, 100, 300, 300, 100, 100, 100, 100, 100, 100, 100, 200,\n                         200, 100, 100, 100, 100, 300, 100, 100, 200, 300, 100, 100, 300,\n                         100, 100, 300, 100, 100, 100, 100, 100, 100, 100, 100, 200, 300,\n                         100, 300, 100, 100, 100, 300, 100, 100, 200, 300, 100, 200, 100,\n                         200, 200, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n                         200, 100, 100, 200, 100, 100, 200, 100, 100, 100, 100, 200, 200,\n                         100, 100, 100, 100, 100, 100, 100, 200, 100, 100, 200, 100, 300,\n                         100, 200, 300, 100, 100, 200, 300, 200, 200, 100, 400, 100, 200,\n                         100, 100, 200, 200, 400, 200, 200, 200, 100, 100, 200, 200, 100,\n                         200, 300, 200, 100, 300, 200, 100, 100, 300, 200, 100, 200, 300,\n                         200, 200, 400, 100, 300, 100, 200, 200, 100, 200, 200, 100, 100,\n                         300, 200, 100, 100, 300, 200, 400, 700, 100, 400, 100, 200, 300,\n                         200, 100, 200, 300, 200, 500, 100, 100, 200, 300, 200, 100, 100,\n                         300, 100, 100, 100, 100, 300, 200, 100, 700, 100, 300, 200, 100,\n                         100, 300, 200, 400, 100, 300, 200, 100, 100, 300, 200, 200, 200,\n                         400, 600, 100, 300, 100, 200, 300, 100, 100, 100, 600, 100, 300,\n                         200, 100, 400, 200, 300, 100, 100, 100, 300, 100, 200, 300, 200,\n                         100, 100, 400, 100, 100, 600, 100, 300, 200, 100, 200, 300, 200,\n                         100, 200, 300, 100, 400, 100, 400, 100, 200, 100, 100, 300, 200,\n                         100, 200, 300, 100, 200, 300, 200, 100, 100, 300, 200, 100, 700,\n                         100, 300, 200, 100, 100, 100, 400, 200, 300, 100, 100, 300, 500,\n                         200, 300, 100, 100, 100, 300, 100, 100, 600, 100, 300, 200, 100,\n                         400, 600, 100, 300, 400, 100, 300, 100, 200, 100, 100, 300, 100,\n                         200, 300, 100, 100, 200, 200, 600, 100, 300, 100, 200, 300, 200,\n                         100, 200, 300, 100, 600, 100, 300, 400, 100, 200, 100, 200, 200,\n                         100, 100, 200, 200, 100, 600, 100, 200, 100, 400, 100, 200, 200,\n                         200, 200, 100, 200, 100, 200, 200, 100, 200, 200, 200, 100, 300,\n                         200, 100, 300, 200, 100, 100, 300, 200, 100, 100, 300, 100, 100,\n                         300, 200, 100, 600, 300, 200, 400, 100, 200, 200, 100, 200, 200,\n                         100, 600, 100, 200, 100, 200, 200, 100, 100, 600, 100, 200, 100,\n                         400, 200, 300, 100, 200, 300, 200, 100, 200, 300, 200, 100, 200,\n                         300, 200, 100, 200, 300, 200, 300, 600, 100, 300, 100, 100, 600,\n                         100, 200, 100, 400, 200, 300, 100, 100, 200, 300, 200, 100, 200,\n                         300, 200, 600, 100, 300, 100, 100, 100, 300, 200, 100, 400, 200,\n                         100, 300, 200, 100, 600, 100, 300, 200, 100, 100, 200, 100, 100,\n                         400, 100, 100, 400, 100, 400, 600, 100, 300, 100, 200]),\n                  'open_time': array([736481.625, 736511.625, 736634.625, 736662.625, 736512.625,\n                         736662.625, 736481.625, 736553.625, 736662.625, 736481.625,\n                         736511.625, 736567.625, 736662.625, 736511.625, 736539.625,\n                         736567.625, 736634.625, 736662.625, 736481.625, 736567.625,\n                         736662.625, 736481.625, 736525.625, 736567.625, 736648.625,\n                         736481.625, 736567.625, 736599.625, 736662.625, 736481.625,\n                         736525.625, 736599.625, 736648.625, 736481.625, 736567.625,\n                         736662.625, 736481.625, 736511.625, 736481.625, 736511.625,\n                         736567.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736634.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736662.625, 736567.625, 736662.625, 736481.625, 736511.625,\n                         736553.625, 736648.625, 736567.625, 736662.625, 736497.625,\n                         736553.625, 736634.625, 736567.625, 736634.625, 736662.625,\n                         736552.625, 736552.625, 736685.625, 736685.625, 736685.625,\n                         736481.625, 736567.625, 736662.625, 736481.625, 736567.625,\n                         736648.625, 736553.625, 736648.625, 736497.625, 736693.625,\n                         736693.625, 736693.625, 736693.625, 736693.625, 736693.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736567.625, 736634.625, 736481.625, 736525.625, 736567.625,\n                         736634.625, 736662.625, 736567.625, 736648.625, 736481.625,\n                         736567.625, 736634.625, 736481.625, 736662.625, 736481.625,\n                         736511.625, 736567.625, 736662.625, 736481.625, 736599.625,\n                         736662.625, 736586.625, 736586.625, 736586.625, 736586.625,\n                         736586.625, 736586.625, 736586.625, 736648.625, 736481.625,\n                         736511.625, 736567.625, 736648.625, 736574.625, 736574.625,\n                         736574.625, 736574.625, 736574.625, 736650.625, 736525.625,\n                         736567.625, 736634.625, 736481.625, 736567.625, 736634.625,\n                         736662.625, 736481.625, 736525.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736525.625, 736567.625, 736648.625, 736497.625, 736567.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736662.625,\n                         736511.625, 736539.625, 736567.625, 736648.625, 736481.625,\n                         736567.625, 736648.625, 736511.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736553.625, 736634.625, 736662.625, 736481.625, 736567.625,\n                         736648.625, 736511.625, 736539.625, 736567.625, 736662.625,\n                         736511.625, 736567.625, 736662.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736567.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736599.625,\n                         736648.625, 736567.625, 736662.625, 736481.625, 736567.625,\n                         736662.625, 736497.625, 736567.625, 736662.625, 736567.625,\n                         736648.625, 736481.625, 736511.625, 736634.625, 736662.625,\n                         736497.625, 736662.625, 736511.625, 736567.625, 736648.625,\n                         736481.625, 736525.625, 736567.625, 736648.625, 736481.625,\n                         736567.625, 736648.625, 736567.625, 736662.625, 736481.625,\n                         736525.625, 736567.625, 736662.625, 736511.625, 736553.625,\n                         736662.625, 736511.625, 736553.625, 736662.625, 736481.625,\n                         736567.625, 736634.625, 736662.625, 736511.625, 736567.625,\n                         736634.625, 736662.625, 736525.625, 736648.625, 736481.625,\n                         736511.625, 736567.625, 736634.625, 736662.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736525.625, 736567.625,\n                         736634.625, 736481.625, 736511.625, 736567.625, 736599.625,\n                         736648.625, 736481.625, 736511.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736567.625,\n                         736648.625, 736497.625, 736553.625, 736634.625, 736539.625,\n                         736567.625, 736662.625, 736481.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736634.625, 736662.625,\n                         736481.625, 736525.625, 736662.625, 736567.625, 736662.625,\n                         736539.625, 736567.625, 736662.625, 736481.625, 736511.625,\n                         736567.625, 736634.625, 736662.625, 736497.625, 736567.625,\n                         736662.625, 736511.625, 736567.625, 736648.625, 736553.625,\n                         736634.625, 736662.625, 736511.625, 736553.625, 736634.625,\n                         736662.625, 736497.625, 736553.625, 736648.625, 736567.625,\n                         736634.625, 736662.625, 736511.625, 736553.625, 736648.625,\n                         736481.625, 736634.625, 736662.625, 736481.625, 736567.625,\n                         736634.625, 736662.625, 736481.625, 736525.625, 736634.625,\n                         736662.625, 736567.625, 736634.625, 736511.625, 736553.625,\n                         736662.625, 736481.625, 736567.625, 736662.625, 736481.625,\n                         736567.625, 736648.625, 736484.625, 736511.625, 736567.625,\n                         736662.625, 736481.625, 736599.625, 736511.625, 736634.625,\n                         736481.625, 736539.625, 736634.625, 736539.625, 736511.625,\n                         736670.625, 736481.625, 736511.625, 736634.625, 736481.625,\n                         736511.625, 736539.625, 736599.625, 736481.625, 736511.625,\n                         736553.625, 736634.625, 736497.625, 736634.625, 736481.625,\n                         736539.625, 736511.625, 736481.625, 736599.625, 736634.625,\n                         736481.625, 736497.625, 736648.625, 736481.625, 736511.625,\n                         736481.625, 736511.625, 736634.625, 736481.625, 736603.625,\n                         736603.625, 736603.625, 736497.625, 736599.625, 736481.625,\n                         736481.625, 736511.625, 736648.625, 736481.625, 736511.625,\n                         736634.625, 736481.625, 736511.625, 736648.625, 736497.625,\n                         736539.625, 736634.625, 736511.625, 736599.625, 736481.625,\n                         736603.625, 736603.625, 736603.625, 736481.625, 736481.625,\n                         736511.625, 736599.625, 736481.625, 736511.625, 736511.625,\n                         736648.625, 736497.625, 736511.625, 736481.625, 736511.625,\n                         736599.625, 736648.625, 736497.625, 736539.625, 736634.625,\n                         736481.625, 736599.625, 736648.625, 736481.625, 736634.625,\n                         736481.625, 736511.625, 736648.625, 736497.625, 736634.625,\n                         736497.625, 736553.625, 736481.625, 736599.625, 736648.625,\n                         736481.625, 736511.625, 736511.625, 736553.625, 736481.625,\n                         736553.625, 736648.625, 736481.625, 736511.625, 736539.625,\n                         736648.625, 736511.625, 736648.625, 736481.625, 736481.625,\n                         736511.625, 736497.625, 736634.625, 736511.625, 736648.625,\n                         736648.625, 736481.625, 736648.625, 736511.625, 736481.625,\n                         736481.625, 736511.625, 736553.625, 736634.625, 736634.625,\n                         736481.625, 736599.625, 736634.625, 736481.625, 736511.625,\n                         736648.625, 736481.625, 736648.625, 736497.625, 736481.625,\n                         736553.625, 736599.625, 736481.625, 736511.625, 736648.625,\n                         736481.625, 736634.625, 736481.625, 736511.625, 736599.625,\n                         736634.625, 736481.625, 736511.625, 736634.625, 736481.625,\n                         736511.625, 736634.625, 736481.625, 736511.625, 736648.625,\n                         736481.625, 736481.625, 736511.625, 736511.625, 736481.625,\n                         736599.625, 736634.625, 736481.625, 736634.625, 736481.625,\n                         736511.625, 736481.625, 736634.625, 736497.625, 736648.625,\n                         736553.625, 736634.625, 736481.625, 736599.625, 736481.625,\n                         736553.625, 736634.625, 736497.625, 736648.625, 736511.625,\n                         736648.625, 736648.625, 736481.625, 736648.625, 736481.625,\n                         736511.625, 736481.625, 736511.625, 736634.625, 736481.625,\n                         736511.625, 736553.625, 736648.625, 736497.625, 736599.625,\n                         736511.625, 736648.625, 736483.625, 736511.625, 736599.625,\n                         736634.625, 736481.625, 736511.625, 736481.625, 736481.625,\n                         736624.625, 736624.625, 736624.625, 736624.625, 736481.625,\n                         736511.625, 736553.625, 736497.625, 736680.625, 736481.625,\n                         736553.625, 736634.625, 736481.625, 736511.625, 736553.625,\n                         736634.625, 736481.625, 736511.625, 736567.625, 736599.625,\n                         736662.625, 736539.625, 736567.625, 736662.625, 736481.625,\n                         736511.625, 736553.625, 736648.625, 736481.625, 736511.625,\n                         736567.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736648.625, 736481.625, 736511.625, 736662.625, 736481.625,\n                         736511.625, 736567.625, 736662.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736648.625,\n                         736497.625, 736662.625, 736481.625, 736525.625, 736648.625,\n                         736511.625, 736567.625, 736648.625, 736511.625, 736567.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736553.625, 736634.625, 736662.625,\n                         736497.625, 736567.625, 736648.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736599.625,\n                         736662.625, 736567.625, 736648.625, 736481.625, 736511.625,\n                         736567.625, 736662.625, 736481.625, 736567.625, 736662.625,\n                         736567.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736634.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736662.625, 736481.625, 736511.625, 736553.625, 736663.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736511.625, 736648.625, 736511.625, 736553.625, 736634.625,\n                         736662.625, 736481.625, 736567.625, 736648.625, 736481.625,\n                         736567.625, 736662.625, 736525.625, 736634.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736599.625, 736648.625,\n                         736481.625, 736525.625, 736567.625, 736662.625, 736481.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736567.625,\n                         736662.625, 736497.625, 736525.625, 736567.625, 736634.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736567.625, 736648.625, 736481.625,\n                         736662.625, 736497.625, 736567.625, 736599.625, 736662.625,\n                         736511.625, 736567.625, 736662.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736511.625, 736567.625, 736634.625, 736662.625, 736481.625,\n                         736511.625, 736567.625, 736662.625, 736567.625, 736599.625,\n                         736648.625, 736481.625, 736567.625, 736662.625, 736497.625,\n                         736553.625, 736648.625, 736481.625, 736525.625, 736567.625,\n                         736662.625, 736481.625, 736525.625, 736567.625, 736634.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736599.625,\n                         736634.625, 736662.625, 736481.625, 736553.625, 736662.625,\n                         736497.625, 736662.625, 736511.625, 736567.625, 736662.625,\n                         736481.625, 736567.625, 736648.625, 736481.625, 736567.625,\n                         736662.625, 736481.625, 736539.625, 736634.625, 736662.625,\n                         736481.625, 736567.625, 736648.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736497.625, 736567.625, 736634.625,\n                         736662.625, 736497.625, 736553.625, 736662.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736634.625, 736662.625,\n                         736481.625, 736525.625, 736553.625, 736662.625, 736481.625,\n                         736511.625, 736648.625, 736481.625, 736567.625, 736648.625,\n                         736567.625, 736648.625, 736481.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736662.625, 736481.625, 736511.625,\n                         736567.625, 736481.625, 736511.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736662.625, 736481.625,\n                         736567.625, 736662.625, 736481.625, 736511.625, 736567.625,\n                         736634.625, 736481.625, 736511.625, 736553.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736648.625, 736511.625,\n                         736567.625, 736634.625, 736662.625, 736481.625, 736567.625,\n                         736648.625, 736481.625, 736525.625, 736567.625, 736634.625,\n                         736662.625, 736481.625, 736567.625, 736599.625, 736648.625,\n                         736481.625, 736567.625, 736648.625, 736481.625, 736539.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736567.625,\n                         736648.625, 736481.625, 736511.625, 736567.625, 736648.625,\n                         736481.625, 736511.625, 736553.625, 736634.625, 736662.625,\n                         736481.625, 736525.625, 736567.625, 736634.625, 736662.625,\n                         736511.625, 736567.625, 736599.625, 736648.625, 736481.625,\n                         736525.625, 736567.625, 736648.625, 736481.625, 736511.625,\n                         736567.625, 736648.625, 736481.625, 736511.625, 736634.625,\n                         736662.625, 736481.625, 736525.625, 736567.625, 736662.625,\n                         736481.625, 736511.625, 736567.625, 736599.625, 736662.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736634.625,\n                         736662.625, 736481.625, 736511.625, 736567.625, 736662.625,\n                         736511.625, 736567.625, 736662.625, 736497.625, 736567.625,\n                         736662.625, 736497.625, 736567.625, 736599.625, 736634.625,\n                         736662.625, 736481.625, 736567.625, 736648.625]),\n                  'close_time': array([736497.625     , 736581.625     , 736648.625     , 736694.62430556,\n                         736620.625     , 736694.62430556, 736497.625     , 736599.625     ,\n                         736690.625     , 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736525.625     , 736553.625     , 736581.625     ,\n                         736648.625     , 736694.62430556, 736553.625     , 736599.625     ,\n                         736694.62430556, 736497.625     , 736539.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736581.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736581.625     , 736620.625     ,\n                         736694.62430556, 736553.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736680.625     , 736497.625     , 736553.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736620.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736599.625     ,\n                         736694.62430556, 736497.625     , 736539.625     , 736620.625     ,\n                         736690.625     , 736599.625     , 736690.625     , 736525.625     ,\n                         736581.625     , 736694.62430556, 736620.625     , 736648.625     ,\n                         736694.62430556, 736581.625     , 736581.625     , 736694.62430556,\n                         736694.62430556, 736694.62430556, 736497.625     , 736581.625     ,\n                         736694.62430556, 736553.625     , 736620.625     , 736694.62430556,\n                         736620.625     , 736694.62430556, 736511.625     , 736694.62430556,\n                         736694.62430556, 736694.62430556, 736694.62430556, 736694.62430556,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736581.625     , 736648.625     ,\n                         736497.625     , 736553.625     , 736620.625     , 736648.625     ,\n                         736694.62430556, 736620.625     , 736694.62430556, 736497.625     ,\n                         736620.625     , 736694.62430556, 736620.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736620.625     , 736690.625     ,\n                         736581.625     , 736620.625     , 736694.62430556, 736599.625     ,\n                         736599.625     , 736599.625     , 736599.625     , 736599.625     ,\n                         736599.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736690.625     , 736620.625     ,\n                         736620.625     , 736620.625     , 736620.625     , 736620.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736553.625     , 736599.625     , 736648.625     , 736690.625     ,\n                         736497.625     , 736553.625     , 736599.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736599.625     , 736694.62430556,\n                         736518.625     , 736539.625     , 736599.625     , 736694.62430556,\n                         736525.625     , 736581.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736620.625     , 736694.62430556, 736525.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736599.625     , 736694.62430556, 736525.625     , 736599.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736690.625     , 736497.625     , 736599.625     , 736648.625     ,\n                         736694.62430556, 736497.625     , 736581.625     , 736694.62430556,\n                         736525.625     , 736553.625     , 736599.625     , 736690.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736539.625     , 736581.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736581.625     , 736620.625     , 736690.625     ,\n                         736599.625     , 736694.62430556, 736511.625     , 736599.625     ,\n                         736694.62430556, 736525.625     , 736599.625     , 736694.62430556,\n                         736599.625     , 736694.62430556, 736497.625     , 736599.625     ,\n                         736648.625     , 736694.62430556, 736581.625     , 736694.62430556,\n                         736539.625     , 736581.625     , 736694.62430556, 736511.625     ,\n                         736553.625     , 736620.625     , 736694.62430556, 736497.625     ,\n                         736581.625     , 736694.62430556, 736620.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736581.625     , 736694.62430556,\n                         736525.625     , 736581.625     , 736694.62430556, 736525.625     ,\n                         736581.625     , 736694.62430556, 736497.625     , 736581.625     ,\n                         736648.625     , 736690.625     , 736525.625     , 736581.625     ,\n                         736648.625     , 736694.62430556, 736620.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736620.625     , 736648.625     ,\n                         736694.62430556, 736525.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736581.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736690.625     , 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736599.625     , 736694.62430556, 736539.625     ,\n                         736581.625     , 736694.62430556, 736553.625     , 736620.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736690.625     ,\n                         736497.625     , 736553.625     , 736599.625     , 736648.625     ,\n                         736694.62430556, 736497.625     , 736599.625     , 736694.62430556,\n                         736599.625     , 736694.62430556, 736553.625     , 736620.625     ,\n                         736690.625     , 736497.625     , 736553.625     , 736599.625     ,\n                         736648.625     , 736694.62430556, 736525.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736620.625     , 736694.62430556,\n                         736599.625     , 736648.625     , 736694.62430556, 736525.625     ,\n                         736581.625     , 736648.625     , 736694.62430556, 736511.625     ,\n                         736599.625     , 736694.62430556, 736581.625     , 736648.625     ,\n                         736694.62430556, 736525.625     , 736599.625     , 736690.625     ,\n                         736614.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736581.625     , 736648.625     , 736690.625     , 736497.625     ,\n                         736620.625     , 736648.625     , 736694.62430556, 736599.625     ,\n                         736694.62430556, 736525.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736620.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736620.625     ,\n                         736525.625     , 736648.625     , 736497.625     , 736553.625     ,\n                         736648.625     , 736553.625     , 736553.625     , 736694.62430556,\n                         736497.625     , 736539.625     , 736648.625     , 736497.625     ,\n                         736525.625     , 736553.625     , 736620.625     , 736497.625     ,\n                         736539.625     , 736617.625     , 736648.625     , 736581.625     ,\n                         736648.625     , 736497.625     , 736553.625     , 736553.625     ,\n                         736553.625     , 736620.625     , 736648.625     , 736553.625     ,\n                         736553.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736497.625     , 736620.625     , 736648.625     , 736497.625     ,\n                         736620.625     , 736620.625     , 736620.625     , 736553.625     ,\n                         736620.625     , 736599.625     , 736497.625     , 736553.625     ,\n                         736694.62430556, 736497.625     , 736599.625     , 736648.625     ,\n                         736497.625     , 736581.625     , 736694.62430556, 736511.625     ,\n                         736581.625     , 736648.625     , 736539.625     , 736620.625     ,\n                         736497.625     , 736620.625     , 736620.625     , 736620.625     ,\n                         736673.625     , 736497.625     , 736553.625     , 736620.625     ,\n                         736497.625     , 736620.625     , 736553.625     , 736694.62430556,\n                         736511.625     , 736553.625     , 736497.625     , 736553.625     ,\n                         736620.625     , 736694.62430556, 736525.625     , 736599.625     ,\n                         736648.625     , 736525.625     , 736620.625     , 736690.625     ,\n                         736511.625     , 736648.625     , 736497.625     , 736599.625     ,\n                         736694.62430556, 736511.625     , 736648.625     , 736525.625     ,\n                         736581.625     , 736511.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736599.625     , 736525.625     , 736581.625     ,\n                         736497.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736525.625     , 736553.625     , 736694.62430556, 736525.625     ,\n                         736694.62430556, 736497.625     , 736497.625     , 736539.625     ,\n                         736599.625     , 736648.625     , 736525.625     , 736694.62430556,\n                         736690.625     , 736581.625     , 736694.62430556, 736581.625     ,\n                         736511.625     , 736497.625     , 736539.625     , 736620.625     ,\n                         736694.62430556, 736694.62430556, 736553.625     , 736620.625     ,\n                         736648.625     , 736497.625     , 736553.625     , 736694.62430556,\n                         736553.625     , 736690.625     , 736553.625     , 736511.625     ,\n                         736581.625     , 736620.625     , 736497.625     , 736581.625     ,\n                         736694.62430556, 736539.625     , 736648.625     , 736497.625     ,\n                         736553.625     , 736620.625     , 736648.625     , 736497.625     ,\n                         736595.625     , 736648.625     , 736497.625     , 736553.625     ,\n                         736648.625     , 736497.625     , 736539.625     , 736690.625     ,\n                         736553.625     , 736497.625     , 736525.625     , 736599.625     ,\n                         736553.625     , 736620.625     , 736694.62430556, 736553.625     ,\n                         736648.625     , 736497.625     , 736620.625     , 736620.625     ,\n                         736648.625     , 736525.625     , 736694.62430556, 736581.625     ,\n                         736694.62430556, 736497.625     , 736620.625     , 736539.625     ,\n                         736620.625     , 736648.625     , 736511.625     , 736694.62430556,\n                         736525.625     , 736694.62430556, 736694.62430556, 736553.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736497.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736539.625     ,\n                         736599.625     , 736694.62430556, 736525.625     , 736620.625     ,\n                         736553.625     , 736690.625     , 736497.625     , 736553.625     ,\n                         736620.625     , 736648.625     , 736497.625     , 736599.625     ,\n                         736497.625     , 736497.625     , 736648.625     , 736648.625     ,\n                         736648.625     , 736648.625     , 736497.625     , 736539.625     ,\n                         736620.625     , 736525.625     , 736694.62430556, 736539.625     ,\n                         736581.625     , 736694.62430556, 736553.625     , 736525.625     ,\n                         736581.625     , 736648.625     , 736497.625     , 736525.625     ,\n                         736581.625     , 736620.625     , 736694.62430556, 736553.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736539.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736599.625     , 736690.625     , 736497.625     , 736553.625     ,\n                         736581.625     , 736694.62430556, 736497.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736581.625     ,\n                         736694.62430556, 736497.625     , 736599.625     , 736694.62430556,\n                         736620.625     , 736694.62430556, 736497.625     , 736581.625     ,\n                         736690.625     , 736525.625     , 736620.625     , 736694.62430556,\n                         736525.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736581.625     , 736694.62430556, 736497.625     ,\n                         736539.625     , 736581.625     , 736648.625     , 736694.62430556,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736581.625     , 736620.625     , 736694.62430556, 736581.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736641.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736581.625     , 736694.62430556, 736497.625     , 736539.625     ,\n                         736620.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736690.625     , 736497.625     ,\n                         736539.625     , 736620.625     , 736694.62430556, 736497.625     ,\n                         736539.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736599.625     , 736694.62430556, 736525.625     , 736581.625     ,\n                         736648.625     , 736694.62430556, 736553.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736620.625     , 736694.62430556,\n                         736581.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736539.625     , 736581.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736599.625     , 736694.62430556,\n                         736553.625     , 736620.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736620.625     , 736694.62430556, 736511.625     ,\n                         736539.625     , 736581.625     , 736648.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736539.625     , 736620.625     , 736694.62430556,\n                         736581.625     , 736694.62430556, 736553.625     , 736581.625     ,\n                         736620.625     , 736694.62430556, 736553.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736620.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736599.625     , 736648.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736620.625     ,\n                         736694.62430556, 736581.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736620.625     , 736694.62430556, 736525.625     ,\n                         736581.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736581.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736581.625     , 736620.625     , 736648.625     ,\n                         736694.62430556, 736497.625     , 736581.625     , 736690.625     ,\n                         736599.625     , 736690.625     , 736525.625     , 736581.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736599.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736599.625     , 736694.62430556, 736497.625     , 736553.625     ,\n                         736581.625     , 736694.62430556, 736525.625     , 736620.625     ,\n                         736648.625     , 736694.62430556, 736525.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736620.625     , 736648.625     , 736690.625     ,\n                         736497.625     , 736539.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736581.625     , 736694.62430556, 736553.625     ,\n                         736599.625     , 736694.62430556, 736599.625     , 736694.62430556,\n                         736539.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736581.625     , 736690.625     , 736497.625     , 736553.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736599.625     ,\n                         736694.62430556, 736553.625     , 736599.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736525.625     , 736581.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736599.625     , 736694.62430556,\n                         736553.625     , 736620.625     , 736648.625     , 736694.62430556,\n                         736553.625     , 736581.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736620.625     , 736648.625     , 736694.62430556,\n                         736497.625     , 736581.625     , 736620.625     , 736694.62430556,\n                         736497.625     , 736581.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736620.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736694.62430556, 736497.625     ,\n                         736539.625     , 736581.625     , 736648.625     , 736690.625     ,\n                         736497.625     , 736553.625     , 736581.625     , 736648.625     ,\n                         736694.62430556, 736525.625     , 736581.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736620.625     ,\n                         736694.62430556, 736497.625     , 736553.625     , 736581.625     ,\n                         736694.62430556, 736497.625     , 736581.625     , 736648.625     ,\n                         736694.62430556, 736509.625     , 736539.625     , 736581.625     ,\n                         736690.625     , 736497.625     , 736553.625     , 736581.625     ,\n                         736620.625     , 736694.62430556, 736694.62430556, 736497.625     ,\n                         736553.625     , 736599.625     , 736648.625     , 736694.62430556,\n                         736497.625     , 736553.625     , 736599.625     , 736694.62430556,\n                         736539.625     , 736581.625     , 736694.62430556, 736525.625     ,\n                         736581.625     , 736694.62430556, 736511.625     , 736581.625     ,\n                         736620.625     , 736648.625     , 736694.62430556, 736497.625     ,\n                         736581.625     , 736694.62430556]),\n                  'open_price': array([  8.36,   8.42,   8.86,   9.29,  19.64,  24.35,   9.43,  10.53,\n                          10.22,   6.02,   6.15,   6.61,   6.86,  13.61,  13.51,  13.95,\n                          13.58,  15.2 ,   9.47,  10.39,   9.92,   6.32,   7.84,   7.01,\n                           9.14,  12.44,  12.27,  11.93,  13.36,  13.57,  14.6 ,  14.53,\n                          16.6 ,   6.17,   6.65,   7.08,   3.21,   3.12,  18.48,  17.97,\n                          19.  ,  18.37,   3.69,   3.66,   3.93,   4.2 ,   4.48,   6.01,\n                           5.96,   6.31,   6.83,  26.1 ,  28.49,   3.54,   3.5 ,   4.09,\n                           4.75,  15.19,  16.57,   8.53,   9.94,  10.52,  13.51,  13.21,\n                          12.97,   7.35,   7.35,   7.74,   7.74,   7.74,  44.25,  57.98,\n                          57.24,   3.15,   3.16,   3.47,  46.81,  56.85,  59.99,  74.35,\n                          74.35,  74.35,  74.35,  74.35,  74.35,   4.86,   4.85,   5.06,\n                           5.35,   4.09,   4.42,   4.27,  12.03,  12.78,  12.24,  11.9 ,\n                          11.7 ,  29.75,  32.36,  15.87,  19.28,  22.2 ,   5.2 ,   6.16,\n                          18.69,  18.64,  19.77,  26.34,  12.53,  13.77,  14.65,   2.51,\n                           2.51,   2.51,   2.51,   2.51,   2.51,   2.51,   2.73,   2.54,\n                           2.51,   2.59,   3.26,  18.36,  18.36,  18.36,  18.36,  18.36,\n                          20.72,  13.1 ,  12.58,  12.69,   2.61,   3.15,   2.98,   3.15,\n                          19.09,  20.85,  20.32,  25.11,   2.3 ,   2.25,   2.38,   2.78,\n                          10.79,  12.53,  12.78,  15.93,   7.56,   7.41,   7.54,  24.83,\n                          26.33,  27.14,  26.22,   7.16,   6.72,   7.05,   7.69,  17.13,\n                          23.08,  22.16,  15.23,  15.95,  18.02,   4.81,   4.44,   4.76,\n                           4.95,   9.66,  10.15,  10.46,  11.64,  12.3 ,  13.82,  13.7 ,\n                           9.87,   9.62,  12.01,  11.42,  10.83,  10.57,  11.69,   3.03,\n                           3.02,   3.54,   4.1 ,  21.24,  21.42,  23.57,  23.6 ,  16.38,\n                          13.2 ,  11.69,  11.2 ,  12.66,  33.4 ,  34.12,   7.67,   7.71,\n                           7.71,   4.34,   4.57,   4.82,  20.63,  19.37,   3.63,   3.62,\n                           4.29,   4.98,  15.  ,  15.64,   5.15,   6.11,   8.16,  20.82,\n                          22.77,  21.89,  23.67,   7.31,   9.63,  11.11,  25.06,  25.73,\n                          13.19,  14.73,  15.28,  18.26,  30.88,  37.82,  34.97,  22.61,\n                          22.67,  22.74,  10.89,  10.87,  11.04,  11.21,  29.46,  31.7 ,\n                          29.44,  29.42,  10.64,  11.5 ,   9.67,   9.75,  10.76,  10.86,\n                          11.03,  10.55,  11.82,  12.74,   6.  ,   6.55,   7.09,   7.47,\n                          26.73,  26.25,  24.31,  23.76,  26.  ,   5.83,   5.5 ,   5.26,\n                           5.4 ,   9.96,   9.99,  11.11,  12.42,  20.86,  20.1 ,  12.54,\n                          15.13,  14.43,  12.79,  14.86,  13.97,  20.77,  21.42,  21.38,\n                          31.38,  29.82,  29.59,  27.57,  26.81,  25.28,  27.16,  28.54,\n                          68.15,  67.06,  17.23,  16.91,  19.99,  11.3 ,  11.02,  11.44,\n                          11.27,  11.47,   7.62,   7.69,   7.02,  17.34,  17.28,  18.58,\n                          15.04,  15.38,  14.98,  13.92,  16.4 ,  15.92,  16.15,  14.25,\n                          15.57,  17.18,  18.  ,  17.53,  17.87,  11.73,  13.23,  15.3 ,\n                          11.41,  12.38,  11.97,   7.48,   8.19,   7.39,   7.73,   9.66,\n                           9.07,  11.43,  10.35,  14.4 ,  13.53,  60.1 ,  58.15,  54.83,\n                          21.21,  21.97,  21.29,  14.64,  16.98,  17.7 ,  58.3 ,  52.26,\n                          48.52,  43.73,   8.68,  10.61,  17.99,  14.86,  22.2 ,  25.15,\n                          20.71,  24.38,  13.44,  12.46,   9.57,   9.6 ,  10.4 ,  15.54,\n                          15.35,  13.7 ,  13.05,  15.32,  14.78,  18.01,  17.91,  23.51,\n                          22.03,  18.01,  17.84,  15.47,  24.81,  24.2 ,  24.38,  13.06,\n                          10.96,  10.89,  10.6 ,  10.36,  12.14,  11.7 ,  12.22,   2.91,\n                           3.04,   3.04,   3.04,   3.68,   4.07,  26.74,   2.15,   2.04,\n                           2.1 ,   6.68,   6.75,   6.78,   7.88,   7.66,   8.79,   6.94,\n                           7.19,   7.3 ,   4.71,   4.87,   4.79,   4.96,   4.96,   4.96,\n                           9.93,   4.68,   4.73,   4.85,   4.81,   4.79,   4.08,   4.41,\n                           6.79,  15.12,   4.97,   4.9 ,   5.33,   6.7 ,  15.64,  16.06,\n                          16.73,  38.75,  40.55,  42.94,   7.98,   8.61,   3.91,   3.8 ,\n                          16.67,  18.63,  20.07,   5.27,   7.32,  26.93,  30.02,  31.07,\n                           7.61,   7.65,  14.59,  15.02,  17.11,  20.43,  21.38,  12.93,\n                          13.34,  12.95,  14.49,  13.3 ,  13.6 ,  31.41,  22.67,  22.33,\n                          10.81,  10.5 ,   3.89,   4.45,   2.9 ,   3.06,   3.65,   9.06,\n                           8.85,  18.51,  18.61,  20.43,  23.21,   4.62,   3.14,   3.11,\n                           3.16,   4.32,   4.22,   4.95,   3.8 ,   3.95,  21.77,  20.21,\n                          15.8 ,  14.96,  26.57,  27.69,  27.8 ,   3.4 ,  24.09,  23.51,\n                          23.26,  26.32,  26.4 ,   4.81,   4.79,   5.83,   8.17,   8.31,\n                           8.76,  12.88,  13.1 ,  19.58,   7.83,  18.53,  19.12,  20.16,\n                           9.54,  10.6 ,  10.71,  10.24,  10.14,  12.9 ,  12.79,   6.27,\n                           7.4 ,  17.67,  17.41,  13.4 ,  12.35,  14.73, 280.59,  25.31,\n                          27.55,  28.91,  36.69,  40.35,  22.54,  21.76,  59.24,   3.93,\n                           4.15,   6.79,   6.75,  13.94,  13.66,  16.07,  14.49,  14.88,\n                          17.73,  18.52,  28.11,  31.13,  14.6 ,  15.24,  18.98,  17.7 ,\n                          18.3 ,  17.66,   5.16,   5.17,  17.92,  14.01,  15.15,  15.15,\n                          15.15,  15.15,  12.88,  12.99,  14.99,  23.16,  23.83,   7.73,\n                           8.67,   8.16,   5.51,   8.4 ,   9.95,   9.64,  12.49,  12.  ,\n                          11.46,  11.67,  12.54,   5.58,   6.64,   6.68,   8.4 ,   8.42,\n                           9.59,  10.51,  17.74,  18.14,  17.23,  18.93,  15.87,  15.44,\n                          17.58,  19.02,  12.8 ,  12.84,  15.49,  22.  ,  21.24,  22.51,\n                          26.19,   2.66,   2.65,   2.84,   2.86,  18.01,  17.8 ,  22.22,\n                           7.89,  10.06,  12.14,  12.21,  12.87,  14.49,  15.12,  16.27,\n                           4.34,   4.53,   4.4 ,   2.96,   2.89,   3.12,   3.22,  14.07,\n                          14.17,  15.37,  16.14,  15.63,   5.48,   5.62,   5.99,   9.99,\n                           9.75,   9.95,  10.09,   6.04,   6.02,   6.27,   6.53,  16.6 ,\n                          16.34,  33.43,  34.15,  35.02,  34.29,  18.52,  19.57,  18.57,\n                          12.46,  12.14,  16.78,  16.35,  16.14,  15.46,  16.06,  10.65,\n                          10.67,  10.54,  10.67,  17.38,  17.39,  18.49,  21.6 ,  15.6 ,\n                          15.83,  17.19,  18.5 ,   5.55,   5.52,   6.66,   6.26,   7.04,\n                           7.  ,   7.9 ,   4.98,   4.68,   4.98,   5.24,   5.04,   5.2 ,\n                          48.3 ,  42.87,  42.28,  11.24,  11.34,  12.35,  12.38,  14.61,\n                          16.13,  17.08,  17.45,  17.13,   4.21,   4.37,   5.53,   5.42,\n                           5.22,   5.33,   5.98,   6.72,   7.75,   7.48,   7.24,   7.61,\n                           5.22,   5.29,   5.52,   6.27,   5.48,   5.58,   5.94,   7.15,\n                           6.  ,   7.2 ,  14.19,  14.77,  14.68,  15.59,   6.53,   6.87,\n                           7.93,   5.08,   4.91,   5.12,   5.73,   9.61,   8.97,  11.66,\n                          23.83,  23.9 ,  22.42,  22.49,  17.03,  16.96,  17.64,  16.98,\n                          18.18,   3.44,   3.47,   4.31,   4.85,   5.23,   5.15,   6.16,\n                           9.66,  10.92,  11.06,  15.18,  17.58,  17.76,   2.75,   2.86,\n                           2.79,   2.86,   2.74,   2.83,   2.91,   2.86,   2.91,  30.62,\n                          30.1 ,  32.35,  32.6 ,  32.98,  34.87,   4.81,   5.19,   5.31,\n                           3.66,   4.36,  39.44,  42.22,  46.78,   7.78,   7.44,   8.33,\n                           6.97,   7.29,   9.55,   3.79,   3.92,   4.04,   4.16,  12.02,\n                          13.29,  15.04,   4.08,   3.77,   3.93,   4.39,  24.74,  25.28,\n                          28.08,  29.44,  16.99,  18.98,  19.71,   5.29,   5.37,   5.5 ,\n                           3.62,   4.  ,   5.12,  20.63,  20.29,  21.  ,  21.25,  25.21,\n                           8.19,   9.18,  10.06,  10.45,   3.58,   3.62,   5.44,   5.75,\n                           6.03,   7.23,  19.41,  20.44,   6.16,   7.86,   9.68,   7.35,\n                           7.26,   7.99,   7.65,   7.43,   8.49,   9.11,   8.65,   8.89,\n                          10.28,  16.32,  16.46,  16.84,  16.89,  10.43,  11.57,  15.74,\n                          12.33,  12.01,  12.13,  12.09,   3.26,   3.32,   3.63,   3.83,\n                           7.08,   6.97,   7.14,   7.18,   3.98,   4.04,   4.11,   4.5 ,\n                           4.66,   4.99,   5.62,  21.32,  22.18,  22.26,  21.95,  21.74,\n                           4.7 ,   5.48,   5.42,   6.79,   2.87,   3.21,   3.49,   7.29,\n                           7.24,   7.52,   8.96,   5.28,   5.1 ,   5.17,   5.99,  10.32,\n                          10.06,  10.69,  10.99,   4.07,   3.99,   4.39,   4.33,   4.57,\n                           4.21,   4.6 ,   4.88,   4.8 ,   5.1 ,   8.1 ,   7.86,   7.69,\n                           8.87,  11.09,  12.18,  11.37,  13.93,   6.6 ,   6.53,   6.53,\n                           6.74,   2.9 ,   2.92,   3.07,   3.22,   6.13,   7.33,   6.65,\n                           6.98,   3.72,   3.62,   3.81,   3.7 ,   3.96,   3.96,   4.12,\n                           3.78,   4.11,   4.31,   4.55,   5.18,   5.08,   5.85,   6.46,\n                          16.51,  19.96,  18.93,  28.37,  30.35,  30.3 ,  18.51,  19.24,\n                          17.65,  17.77,  17.56,   3.75,   3.94,   4.26]),\n                  'close_price': array([  8.31      ,   9.11      ,   8.92      ,   8.82428815,\n                          24.1       ,  19.12608228,  10.14      ,  10.37      ,\n                          10.7       ,   5.92      ,   6.45      ,   6.36      ,\n                           6.61202836,  13.8       ,  13.67      ,  13.86      ,\n                          15.94      ,  14.25091619,   9.54      ,   9.81      ,\n                           8.89618244,   6.64      ,   7.02      ,   6.45      ,\n                           7.19789268,  12.1       ,  12.5       ,  12.1       ,\n                          12.19127807,  13.2       ,  15.13      ,  14.76      ,\n                          15.95      ,   6.47      ,   6.69      ,   6.56992642,\n                           3.09      ,   3.5       ,  17.35      ,  18.17      ,\n                          17.43      ,  17.31923514,   3.67      ,   3.74      ,\n                           4.12      ,   4.55      ,   4.18452038,   5.69      ,\n                           6.05      ,   5.95      ,   6.06939014,  24.56      ,\n                          26.75457097,   3.4       ,   3.96      ,   4.14      ,\n                           4.56      ,  14.24      ,  17.66      ,   9.3       ,\n                          10.86      ,   9.62358858,  14.52      ,  13.27      ,\n                          11.04886337,   7.15      ,   7.15      ,   7.00957084,\n                           7.00957084,   7.00957084,  47.88      ,  56.31      ,\n                          52.14437376,   3.14      ,   3.18      ,   3.33825629,\n                          48.85      ,  42.05      ,  62.97      ,  74.35121285,\n                          74.35121285,  74.35121285,  74.35121285,  74.35121285,\n                          74.35121285,   4.71      ,   5.01      ,   4.98      ,\n                           5.14278695,   4.26      ,   4.45      ,   4.32      ,\n                          12.81      ,  12.05      ,  11.77      ,  11.9       ,\n                          10.69955484,  30.05      ,  31.68887944,  18.17      ,\n                          20.93      ,  20.7208039 ,   5.85      ,   5.58577076,\n                          18.05      ,  19.38      ,  19.35      ,  22.24      ,\n                          14.39      ,  14.24      ,  13.5507755 ,   2.34      ,\n                           2.34      ,   2.34      ,   2.34      ,   2.34      ,\n                           2.34      ,   2.34      ,   2.39      ,   2.55      ,\n                           2.56      ,   2.55      ,   3.05      ,  20.44      ,\n                          20.44      ,  20.44      ,  20.44      ,  20.44      ,\n                          23.1947631 ,  12.        ,  11.65      ,  12.06402213,\n                           2.94      ,   2.93      ,   3.08      ,   3.09      ,\n                          18.18      ,  19.31      ,  18.51      ,  23.0418539 ,\n                           2.22      ,   2.29      ,   2.3       ,   2.79678315,\n                          10.93      ,  11.6       ,  12.58      ,  12.77826644,\n                           7.68      ,   7.56      ,   6.88803197,  25.06      ,\n                          25.97      ,  26.26      ,  24.65829698,   7.57      ,\n                           6.68      ,   6.59      ,   6.73883294,  17.38      ,\n                          20.41      ,  21.08550016,  15.77      ,  15.09      ,\n                          16.01550648,   4.5       ,   4.67      ,   4.55      ,\n                           5.16      ,   9.68      ,   9.87      ,  12.05      ,\n                           9.78673395,  13.2       ,  13.51      ,  12.70033372,\n                          10.2       ,  10.55      ,  10.3       ,  11.57      ,\n                          10.37      ,  10.42      ,  10.84058199,   3.01      ,\n                           3.29      ,   3.53      ,   3.76492923,  20.53      ,\n                          21.78      ,  22.78      ,  23.09601904,  13.81      ,\n                          12.03      ,  12.26      ,  11.21      ,  12.1       ,\n                          31.01      ,  33.15989866,   7.69      ,   7.33      ,\n                           7.38891017,   4.53      ,   4.41      ,   4.39238457,\n                          20.02      ,  18.21973846,   3.5       ,   4.35      ,\n                           4.65      ,   4.77646165,  17.18      ,  14.35152395,\n                           6.04      ,   6.08      ,   6.47242758,  22.01      ,\n                          21.89      ,  22.61      ,  23.44532388,   6.82      ,\n                          10.02      ,   8.39805963,  25.47      ,  24.19625556,\n                          13.18      ,  14.5       ,  15.11      ,  15.57596155,\n                          32.64      ,  36.59      ,  35.02761743,  22.63      ,\n                          22.57      ,  22.37794685,  10.8       ,  11.08      ,\n                          10.93      ,  11.44      ,  31.19      ,  32.03      ,\n                          29.26      ,  26.21885162,  10.15      ,  11.44139448,\n                           9.7       ,   9.73      ,  11.04      ,  11.05      ,\n                           9.53224555,  11.55      ,  11.93      ,  12.26350491,\n                           5.95      ,   6.76      ,   6.98      ,   7.17046877,\n                          24.71      ,  24.14      ,  25.        ,  24.24      ,\n                          24.23634815,   5.23      ,   5.13      ,   5.01      ,\n                           5.18      ,   9.67      ,  10.42      ,  10.52      ,\n                          11.64433243,  18.78      ,  17.97098444,  14.43      ,\n                          14.97      ,  13.50492895,  12.93      ,  15.21      ,\n                          13.09804021,  20.89      ,  21.5       ,  23.32      ,\n                          28.37      ,  28.24      ,  27.37      ,  27.1       ,\n                          22.64153307,  25.08      ,  26.32      ,  28.00097085,\n                          62.82      ,  67.67810967,  16.89      ,  18.41      ,\n                          20.22      ,  11.18      ,  10.93      ,  12.07      ,\n                          11.6       ,  10.44670733,   7.96      ,   6.9       ,\n                           6.77043792,  16.34      ,  17.44      ,  17.96507208,\n                          15.31      ,  15.2       ,  14.16829875,  15.76      ,\n                          16.27      ,  15.75      ,  15.44808341,  15.12      ,\n                          15.55      ,  15.87197918,  18.05      ,  17.03      ,\n                          18.97565016,  12.54      ,  13.82      ,  14.49      ,\n                          13.45      ,  12.47      ,  11.45521547,   7.4       ,\n                           8.1       ,   7.48      ,   8.01      ,   9.61      ,\n                          11.06      ,  10.91      ,  10.58830109,  13.14      ,\n                          11.76167381,  60.8       ,  58.18      ,  49.3322935 ,\n                          20.08      ,  19.69      ,  17.83111606,  15.27      ,\n                          15.87      ,  15.08613555,  49.99      ,  45.82      ,\n                          42.87      ,  35.78297151,   8.92      ,  10.74      ,\n                          18.86      ,  14.45      ,  22.2       ,  23.77      ,\n                          19.85      ,  23.57      ,  12.34      ,  10.92312317,\n                           9.01      ,  10.32      ,  10.3       ,  14.45      ,\n                          15.28      ,  13.39      ,  13.14      ,  14.07      ,\n                          17.88      ,  19.12      ,  18.14      ,  22.46      ,\n                          19.28      ,  18.7       ,  17.77      ,  14.26      ,\n                          23.11      ,  24.48      ,  24.15      ,  12.24      ,\n                          10.55      ,   9.5468897 ,  10.01      ,   9.97      ,\n                          11.78      ,  12.23      ,  12.46      ,   2.81      ,\n                           3.17      ,   3.17      ,   3.17      ,   3.85      ,\n                           4.2       ,  26.41      ,   2.02      ,   2.05      ,\n                           1.99685613,   6.42      ,   6.7       ,   6.79      ,\n                           7.7       ,   8.36      ,   8.72210748,   7.01      ,\n                           7.31      ,   7.32      ,   5.22      ,   4.88      ,\n                           4.6       ,   5.04      ,   5.04      ,   5.04      ,\n                          12.41      ,   4.81      ,   4.81      ,   4.88      ,\n                           4.81      ,   4.81      ,   4.21      ,   4.76626895,\n                           6.82      ,  15.35      ,   4.85      ,   5.17      ,\n                           5.44      ,   5.96992332,  15.99      ,  16.82      ,\n                          16.95      ,  44.84      ,  40.64      ,  45.84      ,\n                           8.14      ,   8.71      ,   3.76      ,   4.06      ,\n                          16.35312216,  18.4       ,  18.77      ,   6.13      ,\n                           8.45      ,  29.22      ,  30.16      ,  30.90691727,\n                           7.5       ,   7.9       ,  15.79      ,  14.65      ,\n                          16.92      ,  19.05      ,  21.07315644,  12.2       ,\n                          13.78      ,  12.99      ,  12.8799881 ,  14.62      ,\n                          12.22622951,  32.07      ,  21.8       ,  23.6       ,\n                          10.45      ,  10.51      ,   4.26      ,   3.99913272,\n                           3.08      ,   3.62      ,   3.7116574 ,   9.87      ,\n                          10.39      ,  17.82      ,  21.8       ,  22.45      ,\n                          22.61783775,   4.0948304 ,   3.26      ,   3.16      ,\n                           3.23      ,   4.15      ,   4.27      ,   4.46389483,\n                           3.94      ,   4.27      ,  21.93      ,  21.26      ,\n                          16.12      ,  16.43      ,  26.        ,  29.74      ,\n                          26.90141412,   3.76      ,  24.79      ,  23.23      ,\n                          24.3       ,  26.45      ,  26.17      ,   4.67      ,\n                           6.43      ,   6.        ,   8.14      ,   8.92      ,\n                           9.03      ,  12.82      ,  14.33      ,  16.59      ,\n                           7.07      ,  17.82      ,  21.54      ,  22.02      ,\n                           8.94      ,  10.19      ,  11.53161321,  10.82      ,\n                          10.33      ,  12.68      ,  15.84      ,   7.75      ,\n                           8.51      ,  19.13      ,  14.59000021,  13.03      ,\n                          11.99876255,  14.98      , 293.82      ,  28.66      ,\n                          30.68      ,  28.39      ,  39.06      ,  36.23624197,\n                          23.25      ,  16.62056944,  46.79657752,   4.11      ,\n                           3.96635167,   6.66      ,   7.22      ,  13.14      ,\n                          15.72      ,  16.0018119 ,  14.09      ,  17.05      ,\n                          16.57      ,  15.83464539,  29.62      ,  31.        ,\n                          14.71      ,  18.        ,  17.13      ,  17.26      ,\n                          17.85      ,  17.97      ,   5.11      ,   5.38      ,\n                          17.96      ,  14.38      ,  18.99      ,  18.99      ,\n                          18.99      ,  18.99      ,  12.77      ,  15.22      ,\n                          16.4       ,  21.78      ,  21.09768525,   8.67      ,\n                           8.49      ,   8.16838544,   5.55      ,   9.54      ,\n                          10.09      ,   9.61      ,  11.61      ,  12.6       ,\n                          12.5       ,  11.89      ,  13.08523512,   5.7       ,\n                           6.06      ,   5.92014396,   8.19      ,   9.78      ,\n                           9.08      ,   9.73579831,  16.7       ,  16.67      ,\n                          16.84      ,  19.3       ,  15.05      ,  17.68      ,\n                          17.88      ,  17.74533917,  13.09      ,  14.51      ,\n                          14.638617  ,  20.37      ,  21.33      ,  22.67      ,\n                          22.27898235,   2.62      ,   2.8       ,   2.87      ,\n                           2.98105987,  17.04      ,  19.83      ,  21.41986718,\n                           9.46      ,  10.50456868,  11.98      ,  12.67      ,\n                          13.76      ,  15.53      ,  15.15      ,  15.1419362 ,\n                           4.6       ,   4.16      ,   4.11800452,   2.89      ,\n                           3.21      ,   3.12      ,   3.02336997,  13.64      ,\n                          14.87      ,  15.48      ,  15.91      ,  14.98321958,\n                           5.52      ,   5.34      ,   5.80552883,   9.73      ,\n                           9.77      ,   9.55      ,  10.79      ,   5.95      ,\n                           6.54      ,   6.24      ,   6.35449929,  15.19      ,\n                          16.24501894,  33.15      ,  34.19      ,  35.35      ,\n                          32.42750149,  17.7       ,  17.8       ,  17.39868423,\n                          12.46      ,  11.60405143,  16.42      ,  15.96      ,\n                          15.4       ,  16.09      ,  15.04813107,  10.38      ,\n                          10.44      ,  10.04      ,  11.15      ,  16.48      ,\n                          20.06      ,  21.34      ,  20.61821449,  14.81      ,\n                          16.1       ,  16.02      ,  15.73558116,   5.42      ,\n                           5.68      ,   6.50393312,   6.7       ,   7.1       ,\n                           7.11      ,   7.23521106,   4.61      ,   4.56      ,\n                           4.34412438,   4.79      ,   4.91      ,   4.92740652,\n                          46.34      ,  42.67      ,  36.37920988,  10.85      ,\n                          12.12      ,  12.46      ,  12.79      ,  13.36287748,\n                          16.37      ,  16.94      ,  16.45      ,  15.44088031,\n                           4.08      ,   4.91      ,   5.09945443,   5.2       ,\n                           5.23      ,   5.87      ,   5.41      ,   6.6       ,\n                           8.12      ,   7.31      ,   7.51      ,   7.0224652 ,\n                           5.1       ,   5.45      ,   5.59      ,   6.57910066,\n                           5.31      ,   5.86      ,   6.04      ,   6.96      ,\n                           6.93      ,   6.82408399,  14.69      ,  14.78      ,\n                          14.76      ,  14.90967382,   6.69      ,   7.06      ,\n                           7.56173865,   4.97      ,   5.03      ,   5.18      ,\n                           5.40717123,   8.66      ,   8.62      ,  11.56604416,\n                          22.11      ,  21.58      ,  21.94      ,  19.59083612,\n                          16.16      ,  16.97      ,  16.68      ,  17.9       ,\n                          17.71313265,   3.34      ,   3.55      ,   4.89      ,\n                           4.33096022,   5.74      ,   5.31      ,   4.53635524,\n                          10.7       ,  11.06      ,  10.45153347,  15.4       ,\n                          15.89      ,  15.83233668,   2.69      ,   2.7       ,\n                           2.69      ,   2.77      ,   2.71      ,   2.86      ,\n                           2.89      ,   2.87      ,   2.81294573,  29.95      ,\n                          31.07      ,  33.74      ,  32.27      ,  33.31      ,\n                          33.74714398,   4.77      ,   5.21      ,   5.26      ,\n                           3.9       ,   5.1       ,  41.17      ,  42.51      ,\n                          42.93384993,   7.31      ,   7.07      ,   7.26815552,\n                           6.67      ,   6.9       ,   8.63901807,   3.8       ,\n                           4.03      ,   4.02      ,   4.03728826,  11.9       ,\n                          12.25      ,  12.85194818,   3.94      ,   3.9       ,\n                           3.92      ,   4.22      ,  25.23      ,  27.39      ,\n                          28.58      ,  26.57432844,  18.46      ,  18.78      ,\n                          19.01030046,   5.3       ,   5.11      ,   5.58960002,\n                           3.59      ,   3.81      ,   4.50861478,  19.9       ,\n                          20.37      ,  20.91      ,  22.21      ,  23.54      ,\n                           8.19      ,  10.22      ,  10.02      ,  10.57825578,\n                           3.51      ,   4.42      ,   6.019519  ,   5.71      ,\n                           5.87      ,   7.06221803,  16.93      ,  17.11321844,\n                           7.33      ,   7.38      ,   7.72922016,   7.17      ,\n                           7.86      ,   9.11      ,   7.61      ,   7.89      ,\n                           8.27111994,   8.61      ,   8.57      ,   8.62      ,\n                           9.379938  ,  15.36      ,  16.42      ,  15.37      ,\n                          15.47714467,  10.63      ,  10.67      ,  14.69477196,\n                          12.12      ,  12.05      ,  11.95      ,  12.70010423,\n                           3.2       ,   3.49      ,   3.6       ,   3.63188642,\n                           6.92      ,   7.04      ,   6.96      ,   7.69835764,\n                           4.        ,   4.05      ,   4.42      ,   4.08      ,\n                           4.95      ,   5.18      ,   4.80189401,  21.47      ,\n                          21.85      ,  21.74      ,  21.45      ,  21.16115915,\n                           4.58      ,   5.58      ,   5.67      ,   5.71257773,\n                           3.16      ,   3.2       ,   3.20543748,   6.95      ,\n                           7.2       ,   7.28      ,   7.58853695,   5.16      ,\n                           5.17      ,   5.09      ,   5.24      ,   9.8       ,\n                          10.09      ,  10.47      ,  10.04897768,   3.9       ,\n                           4.37      ,   4.44      ,   4.38      ,   4.92      ,\n                           4.23      ,   4.76      ,   4.82      ,   4.87      ,\n                           4.98156525,   8.94      ,   8.01      ,   7.65      ,\n                           7.60096166,  11.29      ,  11.24      ,  11.26      ,\n                          12.24      ,   6.55      ,   6.47      ,   6.51      ,\n                           6.82866904,   2.85      ,   3.13      ,   3.08      ,\n                           3.13042164,   6.36      ,   6.61      ,   6.64      ,\n                           7.35      ,   3.6       ,   3.75      ,   3.83      ,\n                           3.76      ,   3.70980773,   3.70980773,   3.73      ,\n                           3.98      ,   4.11      ,   4.57      ,   4.35924701,\n                           4.99      ,   5.77      ,   5.44      ,   5.95637671,\n                          19.76      ,  19.71      ,  17.52537175,  30.69      ,\n                          30.12      ,  28.39237822,  18.05      ,  18.62      ,\n                          17.69      ,  18.27      ,  16.22506365,   4.56      ,\n                           3.92      ,   3.64823588])}),\n                ('month_info_arr',\n                 {'month': array(['2016-01', '2016-02', '2016-03', '2016-04', '2016-05', '2016-06',\n                         '2016-07', '2016-08', '2016-09', '2016-10', '2016-11', '2016-12'],\n                        dtype='<U7'),\n                  'net_profit': array([     0.        ,      0.        ,      0.        ,      0.        ,\n                          -1312.72176731,  -8122.82823829,   9813.82894036,   8688.32410513,\n                          -6392.00845325,   2140.82651171,  11639.28574834, -42879.23548661]),\n                  'net_profit_return': array([ 0.        ,  0.        ,  0.        ,  0.        , -0.00131272,\n                         -0.00813351,  0.00990731,  0.00868504, -0.00633458,  0.00213512,\n                          0.01158351, -0.04218509]),\n                  'gross_profit': array([    0.        ,     0.        ,     0.        ,     0.        ,\n                           277.70933161, 41511.87219729, 57806.54679444, 53077.54514106,\n                         42127.63057607, 13537.96780023, 58817.95698817, 60809.90667341]),\n                  'gross_loss': array([     0.        ,      0.        ,      0.        ,      0.        ,\n                           1590.43109892,  49634.70043559,  47992.71785408,  44389.22103593,\n                          48519.63902932,  11397.14128852,  47178.67123983, 103689.14216002]),\n                  'trade_nums': array([  0,   0,   0,   0,   0, 159,  72, 122, 182,  93,  66, 240]),\n                  'odds': array([0.        , 0.        , 0.        , 0.        , 0.        ,\n                         0.19496855, 0.90277778, 0.43442623, 0.28571429, 0.65591398,\n                         0.60606061, 0.15833333])}),\n                ('month_pl_arr',\n                 {'pl': array([     0.        ,      0.        ,      0.        ,      0.        ,\n                          -1312.72176731,  -8122.82823829,   9813.82894036,   8688.32410513,\n                          -6392.00845325,   2140.82651171,  11639.28574834, -42879.23548661]),\n                  'date': array([datetime.datetime(2016, 1, 1, 0, 0),\n                         datetime.datetime(2016, 2, 1, 0, 0),\n                         datetime.datetime(2016, 3, 1, 0, 0),\n                         datetime.datetime(2016, 4, 1, 0, 0),\n                         datetime.datetime(2016, 5, 1, 0, 0),\n                         datetime.datetime(2016, 6, 1, 0, 0),\n                         datetime.datetime(2016, 7, 1, 0, 0),\n                         datetime.datetime(2016, 8, 1, 0, 0),\n                         datetime.datetime(2016, 9, 1, 0, 0),\n                         datetime.datetime(2016, 10, 1, 0, 0),\n                         datetime.datetime(2016, 11, 1, 0, 0),\n                         datetime.datetime(2016, 12, 1, 0, 0)], dtype=object)}),\n                ('long_equ_arr',\n                 {'lequity': array([1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                          998687.27823269,  998024.56480154,  999974.42615198,\n                         1001144.61368849, 1001145.05192737, 1001746.85768763,\n                          999588.66527767,  979589.19495229,  980110.78465134,\n                          989261.07671924,  984990.56094795,  985995.04671875,\n                          985975.88095601,  985244.65975355,  987330.43351053,\n                          986801.32138951,  984745.71315229,  988140.07871603,\n                          990257.81890125,  991262.44821802,  990564.4499944 ,\n                          991073.730338  ,  999744.30378636, 1000040.5308214 ,\n                         1000981.01848048, 1000807.18809278,  998690.63338309,\n                          998915.9101538 , 1007827.83415501, 1012117.42968239,\n                         1012095.02990994, 1011863.25171181, 1009393.14974896,\n                         1009317.73493549, 1008359.52140356, 1009731.50382508,\n                         1007050.63368382, 1007814.25394419, 1011880.95734231,\n                         1001963.54873395, 1003032.66693099, 1000378.27893476,\n                          996576.59444327,  998905.76223388,  999120.0724286 ,\n                         1000423.91658394, 1000113.60302558, 1004639.26199535,\n                         1007133.50675159, 1004599.11649788, 1000613.89640995,\n                         1005368.40606586, 1012095.06125532, 1012096.09540106,\n                         1013140.39677702, 1011558.71502407, 1011545.21850294,\n                         1008456.55130743, 1009261.94949411, 1008673.75373663,\n                         1004792.6380708 , 1006371.01777055, 1008377.67938209,\n                         1007381.4247544 , 1009066.60303988, 1004144.48045118,\n                         1003830.32827444, 1007682.04714519, 1015764.26590848,\n                         1014501.34809788, 1013654.34712121, 1011185.35906126,\n                         1004506.18169481, 1004893.01805844, 1002664.4976151 ,\n                         1005862.84556882, 1005463.03309691, 1006401.13335633,\n                         1007652.25258793, 1005999.17188163,  998521.08417416,\n                         1000905.93530462,  999572.86854112, 1000277.69877551,\n                         1002674.59458663, 1007836.45287412, 1009980.82645645,\n                         1008947.30496176, 1008480.01824997, 1008155.44034914,\n                         1004438.93325727, 1004438.93325727, 1004438.93325727,\n                         1004438.93325727, 1003730.95947479, 1004421.59568044,\n                         1005179.37707276, 1005510.3069213 , 1005582.24819273,\n                         1005663.78163367, 1004815.42109834, 1009059.18473322,\n                         1004536.02251141, 1007078.75873037, 1005633.62497206,\n                         1004574.5343684 , 1007122.96816767, 1002672.67950571,\n                         1008102.46011949, 1010144.41682585, 1012088.93416718,\n                         1010996.01473055, 1010965.43040128, 1011699.38987154,\n                         1008655.58518955, 1010304.56781554, 1013266.70112762,\n                         1013629.14634578, 1015969.18250035, 1017874.27667017,\n                         1020071.81562929, 1021148.46144505, 1016454.70684668,\n                         1021968.4005282 , 1013757.09870066, 1002756.65056541,\n                         1002042.51013618, 1005473.54291408, 1002765.58835763,\n                         1003710.8468651 ,  984866.47961551,  986320.13783213,\n                          982162.79147247,  979710.73088074,  982024.51427401,\n                          980194.98704177,  976349.88993919,  979852.56100547,\n                          980201.09741289,  974700.46956857,  975897.86896482,\n                          975557.87407753,  973973.02545953,  962199.57161793,\n                          973575.47136008]),\n                  'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                         datetime.datetime(2016, 1, 5, 0, 0),\n                         datetime.datetime(2016, 1, 6, 0, 0),\n                         datetime.datetime(2016, 1, 7, 0, 0),\n                         datetime.datetime(2016, 1, 8, 0, 0),\n                         datetime.datetime(2016, 1, 11, 0, 0),\n                         datetime.datetime(2016, 1, 12, 0, 0),\n                         datetime.datetime(2016, 1, 13, 0, 0),\n                         datetime.datetime(2016, 1, 14, 0, 0),\n                         datetime.datetime(2016, 1, 15, 0, 0),\n                         datetime.datetime(2016, 1, 18, 0, 0),\n                         datetime.datetime(2016, 1, 19, 0, 0),\n                         datetime.datetime(2016, 1, 20, 0, 0),\n                         datetime.datetime(2016, 1, 21, 0, 0),\n                         datetime.datetime(2016, 1, 22, 0, 0),\n                         datetime.datetime(2016, 1, 25, 0, 0),\n                         datetime.datetime(2016, 1, 26, 0, 0),\n                         datetime.datetime(2016, 1, 27, 0, 0),\n                         datetime.datetime(2016, 1, 28, 0, 0),\n                         datetime.datetime(2016, 1, 29, 0, 0),\n                         datetime.datetime(2016, 2, 1, 0, 0),\n                         datetime.datetime(2016, 2, 2, 0, 0),\n                         datetime.datetime(2016, 2, 3, 0, 0),\n                         datetime.datetime(2016, 2, 4, 0, 0),\n                         datetime.datetime(2016, 2, 5, 0, 0),\n                         datetime.datetime(2016, 2, 15, 0, 0),\n                         datetime.datetime(2016, 2, 16, 0, 0),\n                         datetime.datetime(2016, 2, 17, 0, 0),\n                         datetime.datetime(2016, 2, 18, 0, 0),\n                         datetime.datetime(2016, 2, 19, 0, 0),\n                         datetime.datetime(2016, 2, 22, 0, 0),\n                         datetime.datetime(2016, 2, 23, 0, 0),\n                         datetime.datetime(2016, 2, 24, 0, 0),\n                         datetime.datetime(2016, 2, 25, 0, 0),\n                         datetime.datetime(2016, 2, 26, 0, 0),\n                         datetime.datetime(2016, 2, 29, 0, 0),\n                         datetime.datetime(2016, 3, 1, 0, 0),\n                         datetime.datetime(2016, 3, 2, 0, 0),\n                         datetime.datetime(2016, 3, 3, 0, 0),\n                         datetime.datetime(2016, 3, 4, 0, 0),\n                         datetime.datetime(2016, 3, 7, 0, 0),\n                         datetime.datetime(2016, 3, 8, 0, 0),\n                         datetime.datetime(2016, 3, 9, 0, 0),\n                         datetime.datetime(2016, 3, 10, 0, 0),\n                         datetime.datetime(2016, 3, 11, 0, 0),\n                         datetime.datetime(2016, 3, 14, 0, 0),\n                         datetime.datetime(2016, 3, 15, 0, 0),\n                         datetime.datetime(2016, 3, 16, 0, 0),\n                         datetime.datetime(2016, 3, 17, 0, 0),\n                         datetime.datetime(2016, 3, 18, 0, 0),\n                         datetime.datetime(2016, 3, 21, 0, 0),\n                         datetime.datetime(2016, 3, 22, 0, 0),\n                         datetime.datetime(2016, 3, 23, 0, 0),\n                         datetime.datetime(2016, 3, 24, 0, 0),\n                         datetime.datetime(2016, 3, 25, 0, 0),\n                         datetime.datetime(2016, 3, 28, 0, 0),\n                         datetime.datetime(2016, 3, 29, 0, 0),\n                         datetime.datetime(2016, 3, 30, 0, 0),\n                         datetime.datetime(2016, 3, 31, 0, 0),\n                         datetime.datetime(2016, 4, 1, 0, 0),\n                         datetime.datetime(2016, 4, 5, 0, 0),\n                         datetime.datetime(2016, 4, 6, 0, 0),\n                         datetime.datetime(2016, 4, 7, 0, 0),\n                         datetime.datetime(2016, 4, 8, 0, 0),\n                         datetime.datetime(2016, 4, 11, 0, 0),\n                         datetime.datetime(2016, 4, 12, 0, 0),\n                         datetime.datetime(2016, 4, 13, 0, 0),\n                         datetime.datetime(2016, 4, 14, 0, 0),\n                         datetime.datetime(2016, 4, 15, 0, 0),\n                         datetime.datetime(2016, 4, 18, 0, 0),\n                         datetime.datetime(2016, 4, 19, 0, 0),\n                         datetime.datetime(2016, 4, 20, 0, 0),\n                         datetime.datetime(2016, 4, 21, 0, 0),\n                         datetime.datetime(2016, 4, 22, 0, 0),\n                         datetime.datetime(2016, 4, 25, 0, 0),\n                         datetime.datetime(2016, 4, 26, 0, 0),\n                         datetime.datetime(2016, 4, 27, 0, 0),\n                         datetime.datetime(2016, 4, 28, 0, 0),\n                         datetime.datetime(2016, 4, 29, 0, 0),\n                         datetime.datetime(2016, 5, 3, 0, 0),\n                         datetime.datetime(2016, 5, 4, 0, 0),\n                         datetime.datetime(2016, 5, 5, 0, 0),\n                         datetime.datetime(2016, 5, 6, 0, 0),\n                         datetime.datetime(2016, 5, 9, 0, 0),\n                         datetime.datetime(2016, 5, 10, 0, 0),\n                         datetime.datetime(2016, 5, 11, 0, 0),\n                         datetime.datetime(2016, 5, 12, 0, 0),\n                         datetime.datetime(2016, 5, 13, 0, 0),\n                         datetime.datetime(2016, 5, 16, 0, 0),\n                         datetime.datetime(2016, 5, 17, 0, 0),\n                         datetime.datetime(2016, 5, 18, 0, 0),\n                         datetime.datetime(2016, 5, 19, 0, 0),\n                         datetime.datetime(2016, 5, 20, 0, 0),\n                         datetime.datetime(2016, 5, 23, 0, 0),\n                         datetime.datetime(2016, 5, 24, 0, 0),\n                         datetime.datetime(2016, 5, 25, 0, 0),\n                         datetime.datetime(2016, 5, 26, 0, 0),\n                         datetime.datetime(2016, 5, 27, 0, 0),\n                         datetime.datetime(2016, 5, 30, 0, 0),\n                         datetime.datetime(2016, 5, 31, 0, 0),\n                         datetime.datetime(2016, 6, 1, 0, 0),\n                         datetime.datetime(2016, 6, 2, 0, 0),\n                         datetime.datetime(2016, 6, 3, 0, 0),\n                         datetime.datetime(2016, 6, 6, 0, 0),\n                         datetime.datetime(2016, 6, 7, 0, 0),\n                         datetime.datetime(2016, 6, 8, 0, 0),\n                         datetime.datetime(2016, 6, 13, 0, 0),\n                         datetime.datetime(2016, 6, 14, 0, 0),\n                         datetime.datetime(2016, 6, 15, 0, 0),\n                         datetime.datetime(2016, 6, 16, 0, 0),\n                         datetime.datetime(2016, 6, 17, 0, 0),\n                         datetime.datetime(2016, 6, 20, 0, 0),\n                         datetime.datetime(2016, 6, 21, 0, 0),\n                         datetime.datetime(2016, 6, 22, 0, 0),\n                         datetime.datetime(2016, 6, 23, 0, 0),\n                         datetime.datetime(2016, 6, 24, 0, 0),\n                         datetime.datetime(2016, 6, 27, 0, 0),\n                         datetime.datetime(2016, 6, 28, 0, 0),\n                         datetime.datetime(2016, 6, 29, 0, 0),\n                         datetime.datetime(2016, 6, 30, 0, 0),\n                         datetime.datetime(2016, 7, 1, 0, 0),\n                         datetime.datetime(2016, 7, 4, 0, 0),\n                         datetime.datetime(2016, 7, 5, 0, 0),\n                         datetime.datetime(2016, 7, 6, 0, 0),\n                         datetime.datetime(2016, 7, 7, 0, 0),\n                         datetime.datetime(2016, 7, 8, 0, 0),\n                         datetime.datetime(2016, 7, 11, 0, 0),\n                         datetime.datetime(2016, 7, 12, 0, 0),\n                         datetime.datetime(2016, 7, 13, 0, 0),\n                         datetime.datetime(2016, 7, 14, 0, 0),\n                         datetime.datetime(2016, 7, 15, 0, 0),\n                         datetime.datetime(2016, 7, 18, 0, 0),\n                         datetime.datetime(2016, 7, 19, 0, 0),\n                         datetime.datetime(2016, 7, 20, 0, 0),\n                         datetime.datetime(2016, 7, 21, 0, 0),\n                         datetime.datetime(2016, 7, 22, 0, 0),\n                         datetime.datetime(2016, 7, 25, 0, 0),\n                         datetime.datetime(2016, 7, 26, 0, 0),\n                         datetime.datetime(2016, 7, 27, 0, 0),\n                         datetime.datetime(2016, 7, 28, 0, 0),\n                         datetime.datetime(2016, 7, 29, 0, 0),\n                         datetime.datetime(2016, 8, 1, 0, 0),\n                         datetime.datetime(2016, 8, 2, 0, 0),\n                         datetime.datetime(2016, 8, 3, 0, 0),\n                         datetime.datetime(2016, 8, 4, 0, 0),\n                         datetime.datetime(2016, 8, 5, 0, 0),\n                         datetime.datetime(2016, 8, 8, 0, 0),\n                         datetime.datetime(2016, 8, 9, 0, 0),\n                         datetime.datetime(2016, 8, 10, 0, 0),\n                         datetime.datetime(2016, 8, 11, 0, 0),\n                         datetime.datetime(2016, 8, 12, 0, 0),\n                         datetime.datetime(2016, 8, 15, 0, 0),\n                         datetime.datetime(2016, 8, 16, 0, 0),\n                         datetime.datetime(2016, 8, 17, 0, 0),\n                         datetime.datetime(2016, 8, 18, 0, 0),\n                         datetime.datetime(2016, 8, 19, 0, 0),\n                         datetime.datetime(2016, 8, 22, 0, 0),\n                         datetime.datetime(2016, 8, 23, 0, 0),\n                         datetime.datetime(2016, 8, 24, 0, 0),\n                         datetime.datetime(2016, 8, 25, 0, 0),\n                         datetime.datetime(2016, 8, 26, 0, 0),\n                         datetime.datetime(2016, 8, 29, 0, 0),\n                         datetime.datetime(2016, 8, 30, 0, 0),\n                         datetime.datetime(2016, 8, 31, 0, 0),\n                         datetime.datetime(2016, 9, 1, 0, 0),\n                         datetime.datetime(2016, 9, 2, 0, 0),\n                         datetime.datetime(2016, 9, 5, 0, 0),\n                         datetime.datetime(2016, 9, 6, 0, 0),\n                         datetime.datetime(2016, 9, 7, 0, 0),\n                         datetime.datetime(2016, 9, 8, 0, 0),\n                         datetime.datetime(2016, 9, 9, 0, 0),\n                         datetime.datetime(2016, 9, 12, 0, 0),\n                         datetime.datetime(2016, 9, 13, 0, 0),\n                         datetime.datetime(2016, 9, 14, 0, 0),\n                         datetime.datetime(2016, 9, 19, 0, 0),\n                         datetime.datetime(2016, 9, 20, 0, 0),\n                         datetime.datetime(2016, 9, 21, 0, 0),\n                         datetime.datetime(2016, 9, 22, 0, 0),\n                         datetime.datetime(2016, 9, 23, 0, 0),\n                         datetime.datetime(2016, 9, 26, 0, 0),\n                         datetime.datetime(2016, 9, 27, 0, 0),\n                         datetime.datetime(2016, 9, 28, 0, 0),\n                         datetime.datetime(2016, 9, 29, 0, 0),\n                         datetime.datetime(2016, 9, 30, 0, 0),\n                         datetime.datetime(2016, 10, 10, 0, 0),\n                         datetime.datetime(2016, 10, 11, 0, 0),\n                         datetime.datetime(2016, 10, 12, 0, 0),\n                         datetime.datetime(2016, 10, 13, 0, 0),\n                         datetime.datetime(2016, 10, 14, 0, 0),\n                         datetime.datetime(2016, 10, 17, 0, 0),\n                         datetime.datetime(2016, 10, 18, 0, 0),\n                         datetime.datetime(2016, 10, 19, 0, 0),\n                         datetime.datetime(2016, 10, 20, 0, 0),\n                         datetime.datetime(2016, 10, 21, 0, 0),\n                         datetime.datetime(2016, 10, 24, 0, 0),\n                         datetime.datetime(2016, 10, 25, 0, 0),\n                         datetime.datetime(2016, 10, 26, 0, 0),\n                         datetime.datetime(2016, 10, 27, 0, 0),\n                         datetime.datetime(2016, 10, 28, 0, 0),\n                         datetime.datetime(2016, 10, 31, 0, 0),\n                         datetime.datetime(2016, 11, 1, 0, 0),\n                         datetime.datetime(2016, 11, 2, 0, 0),\n                         datetime.datetime(2016, 11, 3, 0, 0),\n                         datetime.datetime(2016, 11, 4, 0, 0),\n                         datetime.datetime(2016, 11, 7, 0, 0),\n                         datetime.datetime(2016, 11, 8, 0, 0),\n                         datetime.datetime(2016, 11, 9, 0, 0),\n                         datetime.datetime(2016, 11, 10, 0, 0),\n                         datetime.datetime(2016, 11, 11, 0, 0),\n                         datetime.datetime(2016, 11, 14, 0, 0),\n                         datetime.datetime(2016, 11, 15, 0, 0),\n                         datetime.datetime(2016, 11, 16, 0, 0),\n                         datetime.datetime(2016, 11, 17, 0, 0),\n                         datetime.datetime(2016, 11, 18, 0, 0),\n                         datetime.datetime(2016, 11, 21, 0, 0),\n                         datetime.datetime(2016, 11, 22, 0, 0),\n                         datetime.datetime(2016, 11, 23, 0, 0),\n                         datetime.datetime(2016, 11, 24, 0, 0),\n                         datetime.datetime(2016, 11, 25, 0, 0),\n                         datetime.datetime(2016, 11, 28, 0, 0),\n                         datetime.datetime(2016, 11, 29, 0, 0),\n                         datetime.datetime(2016, 11, 30, 0, 0),\n                         datetime.datetime(2016, 12, 1, 0, 0),\n                         datetime.datetime(2016, 12, 2, 0, 0),\n                         datetime.datetime(2016, 12, 5, 0, 0),\n                         datetime.datetime(2016, 12, 6, 0, 0),\n                         datetime.datetime(2016, 12, 7, 0, 0),\n                         datetime.datetime(2016, 12, 8, 0, 0),\n                         datetime.datetime(2016, 12, 9, 0, 0),\n                         datetime.datetime(2016, 12, 12, 0, 0),\n                         datetime.datetime(2016, 12, 13, 0, 0),\n                         datetime.datetime(2016, 12, 14, 0, 0),\n                         datetime.datetime(2016, 12, 15, 0, 0),\n                         datetime.datetime(2016, 12, 16, 0, 0),\n                         datetime.datetime(2016, 12, 19, 0, 0),\n                         datetime.datetime(2016, 12, 20, 0, 0),\n                         datetime.datetime(2016, 12, 21, 0, 0),\n                         datetime.datetime(2016, 12, 22, 0, 0),\n                         datetime.datetime(2016, 12, 23, 0, 0),\n                         datetime.datetime(2016, 12, 26, 0, 0),\n                         datetime.datetime(2016, 12, 27, 0, 0),\n                         datetime.datetime(2016, 12, 28, 0, 0),\n                         datetime.datetime(2016, 12, 29, 0, 0),\n                         datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)}),\n                ('short_equ_arr',\n                 {'sequity': array([1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000., 1000000., 1000000.,\n                         1000000., 1000000., 1000000., 1000000.]),\n                  'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                         datetime.datetime(2016, 1, 5, 0, 0),\n                         datetime.datetime(2016, 1, 6, 0, 0),\n                         datetime.datetime(2016, 1, 7, 0, 0),\n                         datetime.datetime(2016, 1, 8, 0, 0),\n                         datetime.datetime(2016, 1, 11, 0, 0),\n                         datetime.datetime(2016, 1, 12, 0, 0),\n                         datetime.datetime(2016, 1, 13, 0, 0),\n                         datetime.datetime(2016, 1, 14, 0, 0),\n                         datetime.datetime(2016, 1, 15, 0, 0),\n                         datetime.datetime(2016, 1, 18, 0, 0),\n                         datetime.datetime(2016, 1, 19, 0, 0),\n                         datetime.datetime(2016, 1, 20, 0, 0),\n                         datetime.datetime(2016, 1, 21, 0, 0),\n                         datetime.datetime(2016, 1, 22, 0, 0),\n                         datetime.datetime(2016, 1, 25, 0, 0),\n                         datetime.datetime(2016, 1, 26, 0, 0),\n                         datetime.datetime(2016, 1, 27, 0, 0),\n                         datetime.datetime(2016, 1, 28, 0, 0),\n                         datetime.datetime(2016, 1, 29, 0, 0),\n                         datetime.datetime(2016, 2, 1, 0, 0),\n                         datetime.datetime(2016, 2, 2, 0, 0),\n                         datetime.datetime(2016, 2, 3, 0, 0),\n                         datetime.datetime(2016, 2, 4, 0, 0),\n                         datetime.datetime(2016, 2, 5, 0, 0),\n                         datetime.datetime(2016, 2, 15, 0, 0),\n                         datetime.datetime(2016, 2, 16, 0, 0),\n                         datetime.datetime(2016, 2, 17, 0, 0),\n                         datetime.datetime(2016, 2, 18, 0, 0),\n                         datetime.datetime(2016, 2, 19, 0, 0),\n                         datetime.datetime(2016, 2, 22, 0, 0),\n                         datetime.datetime(2016, 2, 23, 0, 0),\n                         datetime.datetime(2016, 2, 24, 0, 0),\n                         datetime.datetime(2016, 2, 25, 0, 0),\n                         datetime.datetime(2016, 2, 26, 0, 0),\n                         datetime.datetime(2016, 2, 29, 0, 0),\n                         datetime.datetime(2016, 3, 1, 0, 0),\n                         datetime.datetime(2016, 3, 2, 0, 0),\n                         datetime.datetime(2016, 3, 3, 0, 0),\n                         datetime.datetime(2016, 3, 4, 0, 0),\n                         datetime.datetime(2016, 3, 7, 0, 0),\n                         datetime.datetime(2016, 3, 8, 0, 0),\n                         datetime.datetime(2016, 3, 9, 0, 0),\n                         datetime.datetime(2016, 3, 10, 0, 0),\n                         datetime.datetime(2016, 3, 11, 0, 0),\n                         datetime.datetime(2016, 3, 14, 0, 0),\n                         datetime.datetime(2016, 3, 15, 0, 0),\n                         datetime.datetime(2016, 3, 16, 0, 0),\n                         datetime.datetime(2016, 3, 17, 0, 0),\n                         datetime.datetime(2016, 3, 18, 0, 0),\n                         datetime.datetime(2016, 3, 21, 0, 0),\n                         datetime.datetime(2016, 3, 22, 0, 0),\n                         datetime.datetime(2016, 3, 23, 0, 0),\n                         datetime.datetime(2016, 3, 24, 0, 0),\n                         datetime.datetime(2016, 3, 25, 0, 0),\n                         datetime.datetime(2016, 3, 28, 0, 0),\n                         datetime.datetime(2016, 3, 29, 0, 0),\n                         datetime.datetime(2016, 3, 30, 0, 0),\n                         datetime.datetime(2016, 3, 31, 0, 0),\n                         datetime.datetime(2016, 4, 1, 0, 0),\n                         datetime.datetime(2016, 4, 5, 0, 0),\n                         datetime.datetime(2016, 4, 6, 0, 0),\n                         datetime.datetime(2016, 4, 7, 0, 0),\n                         datetime.datetime(2016, 4, 8, 0, 0),\n                         datetime.datetime(2016, 4, 11, 0, 0),\n                         datetime.datetime(2016, 4, 12, 0, 0),\n                         datetime.datetime(2016, 4, 13, 0, 0),\n                         datetime.datetime(2016, 4, 14, 0, 0),\n                         datetime.datetime(2016, 4, 15, 0, 0),\n                         datetime.datetime(2016, 4, 18, 0, 0),\n                         datetime.datetime(2016, 4, 19, 0, 0),\n                         datetime.datetime(2016, 4, 20, 0, 0),\n                         datetime.datetime(2016, 4, 21, 0, 0),\n                         datetime.datetime(2016, 4, 22, 0, 0),\n                         datetime.datetime(2016, 4, 25, 0, 0),\n                         datetime.datetime(2016, 4, 26, 0, 0),\n                         datetime.datetime(2016, 4, 27, 0, 0),\n                         datetime.datetime(2016, 4, 28, 0, 0),\n                         datetime.datetime(2016, 4, 29, 0, 0),\n                         datetime.datetime(2016, 5, 3, 0, 0),\n                         datetime.datetime(2016, 5, 4, 0, 0),\n                         datetime.datetime(2016, 5, 5, 0, 0),\n                         datetime.datetime(2016, 5, 6, 0, 0),\n                         datetime.datetime(2016, 5, 9, 0, 0),\n                         datetime.datetime(2016, 5, 10, 0, 0),\n                         datetime.datetime(2016, 5, 11, 0, 0),\n                         datetime.datetime(2016, 5, 12, 0, 0),\n                         datetime.datetime(2016, 5, 13, 0, 0),\n                         datetime.datetime(2016, 5, 16, 0, 0),\n                         datetime.datetime(2016, 5, 17, 0, 0),\n                         datetime.datetime(2016, 5, 18, 0, 0),\n                         datetime.datetime(2016, 5, 19, 0, 0),\n                         datetime.datetime(2016, 5, 20, 0, 0),\n                         datetime.datetime(2016, 5, 23, 0, 0),\n                         datetime.datetime(2016, 5, 24, 0, 0),\n                         datetime.datetime(2016, 5, 25, 0, 0),\n                         datetime.datetime(2016, 5, 26, 0, 0),\n                         datetime.datetime(2016, 5, 27, 0, 0),\n                         datetime.datetime(2016, 5, 30, 0, 0),\n                         datetime.datetime(2016, 5, 31, 0, 0),\n                         datetime.datetime(2016, 6, 1, 0, 0),\n                         datetime.datetime(2016, 6, 2, 0, 0),\n                         datetime.datetime(2016, 6, 3, 0, 0),\n                         datetime.datetime(2016, 6, 6, 0, 0),\n                         datetime.datetime(2016, 6, 7, 0, 0),\n                         datetime.datetime(2016, 6, 8, 0, 0),\n                         datetime.datetime(2016, 6, 13, 0, 0),\n                         datetime.datetime(2016, 6, 14, 0, 0),\n                         datetime.datetime(2016, 6, 15, 0, 0),\n                         datetime.datetime(2016, 6, 16, 0, 0),\n                         datetime.datetime(2016, 6, 17, 0, 0),\n                         datetime.datetime(2016, 6, 20, 0, 0),\n                         datetime.datetime(2016, 6, 21, 0, 0),\n                         datetime.datetime(2016, 6, 22, 0, 0),\n                         datetime.datetime(2016, 6, 23, 0, 0),\n                         datetime.datetime(2016, 6, 24, 0, 0),\n                         datetime.datetime(2016, 6, 27, 0, 0),\n                         datetime.datetime(2016, 6, 28, 0, 0),\n                         datetime.datetime(2016, 6, 29, 0, 0),\n                         datetime.datetime(2016, 6, 30, 0, 0),\n                         datetime.datetime(2016, 7, 1, 0, 0),\n                         datetime.datetime(2016, 7, 4, 0, 0),\n                         datetime.datetime(2016, 7, 5, 0, 0),\n                         datetime.datetime(2016, 7, 6, 0, 0),\n                         datetime.datetime(2016, 7, 7, 0, 0),\n                         datetime.datetime(2016, 7, 8, 0, 0),\n                         datetime.datetime(2016, 7, 11, 0, 0),\n                         datetime.datetime(2016, 7, 12, 0, 0),\n                         datetime.datetime(2016, 7, 13, 0, 0),\n                         datetime.datetime(2016, 7, 14, 0, 0),\n                         datetime.datetime(2016, 7, 15, 0, 0),\n                         datetime.datetime(2016, 7, 18, 0, 0),\n                         datetime.datetime(2016, 7, 19, 0, 0),\n                         datetime.datetime(2016, 7, 20, 0, 0),\n                         datetime.datetime(2016, 7, 21, 0, 0),\n                         datetime.datetime(2016, 7, 22, 0, 0),\n                         datetime.datetime(2016, 7, 25, 0, 0),\n                         datetime.datetime(2016, 7, 26, 0, 0),\n                         datetime.datetime(2016, 7, 27, 0, 0),\n                         datetime.datetime(2016, 7, 28, 0, 0),\n                         datetime.datetime(2016, 7, 29, 0, 0),\n                         datetime.datetime(2016, 8, 1, 0, 0),\n                         datetime.datetime(2016, 8, 2, 0, 0),\n                         datetime.datetime(2016, 8, 3, 0, 0),\n                         datetime.datetime(2016, 8, 4, 0, 0),\n                         datetime.datetime(2016, 8, 5, 0, 0),\n                         datetime.datetime(2016, 8, 8, 0, 0),\n                         datetime.datetime(2016, 8, 9, 0, 0),\n                         datetime.datetime(2016, 8, 10, 0, 0),\n                         datetime.datetime(2016, 8, 11, 0, 0),\n                         datetime.datetime(2016, 8, 12, 0, 0),\n                         datetime.datetime(2016, 8, 15, 0, 0),\n                         datetime.datetime(2016, 8, 16, 0, 0),\n                         datetime.datetime(2016, 8, 17, 0, 0),\n                         datetime.datetime(2016, 8, 18, 0, 0),\n                         datetime.datetime(2016, 8, 19, 0, 0),\n                         datetime.datetime(2016, 8, 22, 0, 0),\n                         datetime.datetime(2016, 8, 23, 0, 0),\n                         datetime.datetime(2016, 8, 24, 0, 0),\n                         datetime.datetime(2016, 8, 25, 0, 0),\n                         datetime.datetime(2016, 8, 26, 0, 0),\n                         datetime.datetime(2016, 8, 29, 0, 0),\n                         datetime.datetime(2016, 8, 30, 0, 0),\n                         datetime.datetime(2016, 8, 31, 0, 0),\n                         datetime.datetime(2016, 9, 1, 0, 0),\n                         datetime.datetime(2016, 9, 2, 0, 0),\n                         datetime.datetime(2016, 9, 5, 0, 0),\n                         datetime.datetime(2016, 9, 6, 0, 0),\n                         datetime.datetime(2016, 9, 7, 0, 0),\n                         datetime.datetime(2016, 9, 8, 0, 0),\n                         datetime.datetime(2016, 9, 9, 0, 0),\n                         datetime.datetime(2016, 9, 12, 0, 0),\n                         datetime.datetime(2016, 9, 13, 0, 0),\n                         datetime.datetime(2016, 9, 14, 0, 0),\n                         datetime.datetime(2016, 9, 19, 0, 0),\n                         datetime.datetime(2016, 9, 20, 0, 0),\n                         datetime.datetime(2016, 9, 21, 0, 0),\n                         datetime.datetime(2016, 9, 22, 0, 0),\n                         datetime.datetime(2016, 9, 23, 0, 0),\n                         datetime.datetime(2016, 9, 26, 0, 0),\n                         datetime.datetime(2016, 9, 27, 0, 0),\n                         datetime.datetime(2016, 9, 28, 0, 0),\n                         datetime.datetime(2016, 9, 29, 0, 0),\n                         datetime.datetime(2016, 9, 30, 0, 0),\n                         datetime.datetime(2016, 10, 10, 0, 0),\n                         datetime.datetime(2016, 10, 11, 0, 0),\n                         datetime.datetime(2016, 10, 12, 0, 0),\n                         datetime.datetime(2016, 10, 13, 0, 0),\n                         datetime.datetime(2016, 10, 14, 0, 0),\n                         datetime.datetime(2016, 10, 17, 0, 0),\n                         datetime.datetime(2016, 10, 18, 0, 0),\n                         datetime.datetime(2016, 10, 19, 0, 0),\n                         datetime.datetime(2016, 10, 20, 0, 0),\n                         datetime.datetime(2016, 10, 21, 0, 0),\n                         datetime.datetime(2016, 10, 24, 0, 0),\n                         datetime.datetime(2016, 10, 25, 0, 0),\n                         datetime.datetime(2016, 10, 26, 0, 0),\n                         datetime.datetime(2016, 10, 27, 0, 0),\n                         datetime.datetime(2016, 10, 28, 0, 0),\n                         datetime.datetime(2016, 10, 31, 0, 0),\n                         datetime.datetime(2016, 11, 1, 0, 0),\n                         datetime.datetime(2016, 11, 2, 0, 0),\n                         datetime.datetime(2016, 11, 3, 0, 0),\n                         datetime.datetime(2016, 11, 4, 0, 0),\n                         datetime.datetime(2016, 11, 7, 0, 0),\n                         datetime.datetime(2016, 11, 8, 0, 0),\n                         datetime.datetime(2016, 11, 9, 0, 0),\n                         datetime.datetime(2016, 11, 10, 0, 0),\n                         datetime.datetime(2016, 11, 11, 0, 0),\n                         datetime.datetime(2016, 11, 14, 0, 0),\n                         datetime.datetime(2016, 11, 15, 0, 0),\n                         datetime.datetime(2016, 11, 16, 0, 0),\n                         datetime.datetime(2016, 11, 17, 0, 0),\n                         datetime.datetime(2016, 11, 18, 0, 0),\n                         datetime.datetime(2016, 11, 21, 0, 0),\n                         datetime.datetime(2016, 11, 22, 0, 0),\n                         datetime.datetime(2016, 11, 23, 0, 0),\n                         datetime.datetime(2016, 11, 24, 0, 0),\n                         datetime.datetime(2016, 11, 25, 0, 0),\n                         datetime.datetime(2016, 11, 28, 0, 0),\n                         datetime.datetime(2016, 11, 29, 0, 0),\n                         datetime.datetime(2016, 11, 30, 0, 0),\n                         datetime.datetime(2016, 12, 1, 0, 0),\n                         datetime.datetime(2016, 12, 2, 0, 0),\n                         datetime.datetime(2016, 12, 5, 0, 0),\n                         datetime.datetime(2016, 12, 6, 0, 0),\n                         datetime.datetime(2016, 12, 7, 0, 0),\n                         datetime.datetime(2016, 12, 8, 0, 0),\n                         datetime.datetime(2016, 12, 9, 0, 0),\n                         datetime.datetime(2016, 12, 12, 0, 0),\n                         datetime.datetime(2016, 12, 13, 0, 0),\n                         datetime.datetime(2016, 12, 14, 0, 0),\n                         datetime.datetime(2016, 12, 15, 0, 0),\n                         datetime.datetime(2016, 12, 16, 0, 0),\n                         datetime.datetime(2016, 12, 19, 0, 0),\n                         datetime.datetime(2016, 12, 20, 0, 0),\n                         datetime.datetime(2016, 12, 21, 0, 0),\n                         datetime.datetime(2016, 12, 22, 0, 0),\n                         datetime.datetime(2016, 12, 23, 0, 0),\n                         datetime.datetime(2016, 12, 26, 0, 0),\n                         datetime.datetime(2016, 12, 27, 0, 0),\n                         datetime.datetime(2016, 12, 28, 0, 0),\n                         datetime.datetime(2016, 12, 29, 0, 0),\n                         datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)}),\n                ('equity_arr',\n                 {'equity': array([1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                         1000000.        , 1000000.        , 1000000.        ,\n                          998687.27823269,  998024.56480154,  999974.42615198,\n                         1001144.61368849, 1001145.05192737, 1001746.85768763,\n                          999588.66527767,  979589.19495229,  980110.78465134,\n                          989261.07671924,  984990.56094795,  985995.04671875,\n                          985975.88095601,  985244.65975355,  987330.43351053,\n                          986801.32138951,  984745.71315229,  988140.07871603,\n                          990257.81890125,  991262.44821802,  990564.4499944 ,\n                          991073.730338  ,  999744.30378636, 1000040.5308214 ,\n                         1000981.01848048, 1000807.18809278,  998690.63338309,\n                          998915.9101538 , 1007827.83415501, 1012117.42968239,\n                         1012095.02990994, 1011863.25171181, 1009393.14974896,\n                         1009317.73493549, 1008359.52140356, 1009731.50382508,\n                         1007050.63368382, 1007814.25394419, 1011880.95734231,\n                         1001963.54873395, 1003032.66693099, 1000378.27893476,\n                          996576.59444327,  998905.76223388,  999120.0724286 ,\n                         1000423.91658394, 1000113.60302558, 1004639.26199535,\n                         1007133.50675159, 1004599.11649788, 1000613.89640995,\n                         1005368.40606586, 1012095.06125532, 1012096.09540106,\n                         1013140.39677702, 1011558.71502407, 1011545.21850294,\n                         1008456.55130743, 1009261.94949411, 1008673.75373663,\n                         1004792.6380708 , 1006371.01777055, 1008377.67938209,\n                         1007381.4247544 , 1009066.60303988, 1004144.48045118,\n                         1003830.32827444, 1007682.04714519, 1015764.26590848,\n                         1014501.34809788, 1013654.34712121, 1011185.35906126,\n                         1004506.18169481, 1004893.01805844, 1002664.4976151 ,\n                         1005862.84556882, 1005463.03309691, 1006401.13335633,\n                         1007652.25258793, 1005999.17188163,  998521.08417416,\n                         1000905.93530462,  999572.86854112, 1000277.69877551,\n                         1002674.59458663, 1007836.45287412, 1009980.82645645,\n                         1008947.30496176, 1008480.01824997, 1008155.44034914,\n                         1004438.93325727, 1004438.93325727, 1004438.93325727,\n                         1004438.93325727, 1003730.95947479, 1004421.59568044,\n                         1005179.37707276, 1005510.3069213 , 1005582.24819273,\n                         1005663.78163367, 1004815.42109834, 1009059.18473322,\n                         1004536.02251141, 1007078.75873037, 1005633.62497206,\n                         1004574.5343684 , 1007122.96816767, 1002672.67950571,\n                         1008102.46011949, 1010144.41682585, 1012088.93416718,\n                         1010996.01473055, 1010965.43040128, 1011699.38987154,\n                         1008655.58518955, 1010304.56781554, 1013266.70112762,\n                         1013629.14634578, 1015969.18250035, 1017874.27667017,\n                         1020071.81562929, 1021148.46144505, 1016454.70684668,\n                         1021968.4005282 , 1013757.09870066, 1002756.65056541,\n                         1002042.51013618, 1005473.54291408, 1002765.58835763,\n                         1003710.8468651 ,  984866.47961551,  986320.13783213,\n                          982162.79147247,  979710.73088074,  982024.51427401,\n                          980194.98704177,  976349.88993919,  979852.56100547,\n                          980201.09741289,  974700.46956857,  975897.86896482,\n                          975557.87407753,  973973.02545953,  962199.57161793,\n                          973575.47136008]),\n                  'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                         datetime.datetime(2016, 1, 5, 0, 0),\n                         datetime.datetime(2016, 1, 6, 0, 0),\n                         datetime.datetime(2016, 1, 7, 0, 0),\n                         datetime.datetime(2016, 1, 8, 0, 0),\n                         datetime.datetime(2016, 1, 11, 0, 0),\n                         datetime.datetime(2016, 1, 12, 0, 0),\n                         datetime.datetime(2016, 1, 13, 0, 0),\n                         datetime.datetime(2016, 1, 14, 0, 0),\n                         datetime.datetime(2016, 1, 15, 0, 0),\n                         datetime.datetime(2016, 1, 18, 0, 0),\n                         datetime.datetime(2016, 1, 19, 0, 0),\n                         datetime.datetime(2016, 1, 20, 0, 0),\n                         datetime.datetime(2016, 1, 21, 0, 0),\n                         datetime.datetime(2016, 1, 22, 0, 0),\n                         datetime.datetime(2016, 1, 25, 0, 0),\n                         datetime.datetime(2016, 1, 26, 0, 0),\n                         datetime.datetime(2016, 1, 27, 0, 0),\n                         datetime.datetime(2016, 1, 28, 0, 0),\n                         datetime.datetime(2016, 1, 29, 0, 0),\n                         datetime.datetime(2016, 2, 1, 0, 0),\n                         datetime.datetime(2016, 2, 2, 0, 0),\n                         datetime.datetime(2016, 2, 3, 0, 0),\n                         datetime.datetime(2016, 2, 4, 0, 0),\n                         datetime.datetime(2016, 2, 5, 0, 0),\n                         datetime.datetime(2016, 2, 15, 0, 0),\n                         datetime.datetime(2016, 2, 16, 0, 0),\n                         datetime.datetime(2016, 2, 17, 0, 0),\n                         datetime.datetime(2016, 2, 18, 0, 0),\n                         datetime.datetime(2016, 2, 19, 0, 0),\n                         datetime.datetime(2016, 2, 22, 0, 0),\n                         datetime.datetime(2016, 2, 23, 0, 0),\n                         datetime.datetime(2016, 2, 24, 0, 0),\n                         datetime.datetime(2016, 2, 25, 0, 0),\n                         datetime.datetime(2016, 2, 26, 0, 0),\n                         datetime.datetime(2016, 2, 29, 0, 0),\n                         datetime.datetime(2016, 3, 1, 0, 0),\n                         datetime.datetime(2016, 3, 2, 0, 0),\n                         datetime.datetime(2016, 3, 3, 0, 0),\n                         datetime.datetime(2016, 3, 4, 0, 0),\n                         datetime.datetime(2016, 3, 7, 0, 0),\n                         datetime.datetime(2016, 3, 8, 0, 0),\n                         datetime.datetime(2016, 3, 9, 0, 0),\n                         datetime.datetime(2016, 3, 10, 0, 0),\n                         datetime.datetime(2016, 3, 11, 0, 0),\n                         datetime.datetime(2016, 3, 14, 0, 0),\n                         datetime.datetime(2016, 3, 15, 0, 0),\n                         datetime.datetime(2016, 3, 16, 0, 0),\n                         datetime.datetime(2016, 3, 17, 0, 0),\n                         datetime.datetime(2016, 3, 18, 0, 0),\n                         datetime.datetime(2016, 3, 21, 0, 0),\n                         datetime.datetime(2016, 3, 22, 0, 0),\n                         datetime.datetime(2016, 3, 23, 0, 0),\n                         datetime.datetime(2016, 3, 24, 0, 0),\n                         datetime.datetime(2016, 3, 25, 0, 0),\n                         datetime.datetime(2016, 3, 28, 0, 0),\n                         datetime.datetime(2016, 3, 29, 0, 0),\n                         datetime.datetime(2016, 3, 30, 0, 0),\n                         datetime.datetime(2016, 3, 31, 0, 0),\n                         datetime.datetime(2016, 4, 1, 0, 0),\n                         datetime.datetime(2016, 4, 5, 0, 0),\n                         datetime.datetime(2016, 4, 6, 0, 0),\n                         datetime.datetime(2016, 4, 7, 0, 0),\n                         datetime.datetime(2016, 4, 8, 0, 0),\n                         datetime.datetime(2016, 4, 11, 0, 0),\n                         datetime.datetime(2016, 4, 12, 0, 0),\n                         datetime.datetime(2016, 4, 13, 0, 0),\n                         datetime.datetime(2016, 4, 14, 0, 0),\n                         datetime.datetime(2016, 4, 15, 0, 0),\n                         datetime.datetime(2016, 4, 18, 0, 0),\n                         datetime.datetime(2016, 4, 19, 0, 0),\n                         datetime.datetime(2016, 4, 20, 0, 0),\n                         datetime.datetime(2016, 4, 21, 0, 0),\n                         datetime.datetime(2016, 4, 22, 0, 0),\n                         datetime.datetime(2016, 4, 25, 0, 0),\n                         datetime.datetime(2016, 4, 26, 0, 0),\n                         datetime.datetime(2016, 4, 27, 0, 0),\n                         datetime.datetime(2016, 4, 28, 0, 0),\n                         datetime.datetime(2016, 4, 29, 0, 0),\n                         datetime.datetime(2016, 5, 3, 0, 0),\n                         datetime.datetime(2016, 5, 4, 0, 0),\n                         datetime.datetime(2016, 5, 5, 0, 0),\n                         datetime.datetime(2016, 5, 6, 0, 0),\n                         datetime.datetime(2016, 5, 9, 0, 0),\n                         datetime.datetime(2016, 5, 10, 0, 0),\n                         datetime.datetime(2016, 5, 11, 0, 0),\n                         datetime.datetime(2016, 5, 12, 0, 0),\n                         datetime.datetime(2016, 5, 13, 0, 0),\n                         datetime.datetime(2016, 5, 16, 0, 0),\n                         datetime.datetime(2016, 5, 17, 0, 0),\n                         datetime.datetime(2016, 5, 18, 0, 0),\n                         datetime.datetime(2016, 5, 19, 0, 0),\n                         datetime.datetime(2016, 5, 20, 0, 0),\n                         datetime.datetime(2016, 5, 23, 0, 0),\n                         datetime.datetime(2016, 5, 24, 0, 0),\n                         datetime.datetime(2016, 5, 25, 0, 0),\n                         datetime.datetime(2016, 5, 26, 0, 0),\n                         datetime.datetime(2016, 5, 27, 0, 0),\n                         datetime.datetime(2016, 5, 30, 0, 0),\n                         datetime.datetime(2016, 5, 31, 0, 0),\n                         datetime.datetime(2016, 6, 1, 0, 0),\n                         datetime.datetime(2016, 6, 2, 0, 0),\n                         datetime.datetime(2016, 6, 3, 0, 0),\n                         datetime.datetime(2016, 6, 6, 0, 0),\n                         datetime.datetime(2016, 6, 7, 0, 0),\n                         datetime.datetime(2016, 6, 8, 0, 0),\n                         datetime.datetime(2016, 6, 13, 0, 0),\n                         datetime.datetime(2016, 6, 14, 0, 0),\n                         datetime.datetime(2016, 6, 15, 0, 0),\n                         datetime.datetime(2016, 6, 16, 0, 0),\n                         datetime.datetime(2016, 6, 17, 0, 0),\n                         datetime.datetime(2016, 6, 20, 0, 0),\n                         datetime.datetime(2016, 6, 21, 0, 0),\n                         datetime.datetime(2016, 6, 22, 0, 0),\n                         datetime.datetime(2016, 6, 23, 0, 0),\n                         datetime.datetime(2016, 6, 24, 0, 0),\n                         datetime.datetime(2016, 6, 27, 0, 0),\n                         datetime.datetime(2016, 6, 28, 0, 0),\n                         datetime.datetime(2016, 6, 29, 0, 0),\n                         datetime.datetime(2016, 6, 30, 0, 0),\n                         datetime.datetime(2016, 7, 1, 0, 0),\n                         datetime.datetime(2016, 7, 4, 0, 0),\n                         datetime.datetime(2016, 7, 5, 0, 0),\n                         datetime.datetime(2016, 7, 6, 0, 0),\n                         datetime.datetime(2016, 7, 7, 0, 0),\n                         datetime.datetime(2016, 7, 8, 0, 0),\n                         datetime.datetime(2016, 7, 11, 0, 0),\n                         datetime.datetime(2016, 7, 12, 0, 0),\n                         datetime.datetime(2016, 7, 13, 0, 0),\n                         datetime.datetime(2016, 7, 14, 0, 0),\n                         datetime.datetime(2016, 7, 15, 0, 0),\n                         datetime.datetime(2016, 7, 18, 0, 0),\n                         datetime.datetime(2016, 7, 19, 0, 0),\n                         datetime.datetime(2016, 7, 20, 0, 0),\n                         datetime.datetime(2016, 7, 21, 0, 0),\n                         datetime.datetime(2016, 7, 22, 0, 0),\n                         datetime.datetime(2016, 7, 25, 0, 0),\n                         datetime.datetime(2016, 7, 26, 0, 0),\n                         datetime.datetime(2016, 7, 27, 0, 0),\n                         datetime.datetime(2016, 7, 28, 0, 0),\n                         datetime.datetime(2016, 7, 29, 0, 0),\n                         datetime.datetime(2016, 8, 1, 0, 0),\n                         datetime.datetime(2016, 8, 2, 0, 0),\n                         datetime.datetime(2016, 8, 3, 0, 0),\n                         datetime.datetime(2016, 8, 4, 0, 0),\n                         datetime.datetime(2016, 8, 5, 0, 0),\n                         datetime.datetime(2016, 8, 8, 0, 0),\n                         datetime.datetime(2016, 8, 9, 0, 0),\n                         datetime.datetime(2016, 8, 10, 0, 0),\n                         datetime.datetime(2016, 8, 11, 0, 0),\n                         datetime.datetime(2016, 8, 12, 0, 0),\n                         datetime.datetime(2016, 8, 15, 0, 0),\n                         datetime.datetime(2016, 8, 16, 0, 0),\n                         datetime.datetime(2016, 8, 17, 0, 0),\n                         datetime.datetime(2016, 8, 18, 0, 0),\n                         datetime.datetime(2016, 8, 19, 0, 0),\n                         datetime.datetime(2016, 8, 22, 0, 0),\n                         datetime.datetime(2016, 8, 23, 0, 0),\n                         datetime.datetime(2016, 8, 24, 0, 0),\n                         datetime.datetime(2016, 8, 25, 0, 0),\n                         datetime.datetime(2016, 8, 26, 0, 0),\n                         datetime.datetime(2016, 8, 29, 0, 0),\n                         datetime.datetime(2016, 8, 30, 0, 0),\n                         datetime.datetime(2016, 8, 31, 0, 0),\n                         datetime.datetime(2016, 9, 1, 0, 0),\n                         datetime.datetime(2016, 9, 2, 0, 0),\n                         datetime.datetime(2016, 9, 5, 0, 0),\n                         datetime.datetime(2016, 9, 6, 0, 0),\n                         datetime.datetime(2016, 9, 7, 0, 0),\n                         datetime.datetime(2016, 9, 8, 0, 0),\n                         datetime.datetime(2016, 9, 9, 0, 0),\n                         datetime.datetime(2016, 9, 12, 0, 0),\n                         datetime.datetime(2016, 9, 13, 0, 0),\n                         datetime.datetime(2016, 9, 14, 0, 0),\n                         datetime.datetime(2016, 9, 19, 0, 0),\n                         datetime.datetime(2016, 9, 20, 0, 0),\n                         datetime.datetime(2016, 9, 21, 0, 0),\n                         datetime.datetime(2016, 9, 22, 0, 0),\n                         datetime.datetime(2016, 9, 23, 0, 0),\n                         datetime.datetime(2016, 9, 26, 0, 0),\n                         datetime.datetime(2016, 9, 27, 0, 0),\n                         datetime.datetime(2016, 9, 28, 0, 0),\n                         datetime.datetime(2016, 9, 29, 0, 0),\n                         datetime.datetime(2016, 9, 30, 0, 0),\n                         datetime.datetime(2016, 10, 10, 0, 0),\n                         datetime.datetime(2016, 10, 11, 0, 0),\n                         datetime.datetime(2016, 10, 12, 0, 0),\n                         datetime.datetime(2016, 10, 13, 0, 0),\n                         datetime.datetime(2016, 10, 14, 0, 0),\n                         datetime.datetime(2016, 10, 17, 0, 0),\n                         datetime.datetime(2016, 10, 18, 0, 0),\n                         datetime.datetime(2016, 10, 19, 0, 0),\n                         datetime.datetime(2016, 10, 20, 0, 0),\n                         datetime.datetime(2016, 10, 21, 0, 0),\n                         datetime.datetime(2016, 10, 24, 0, 0),\n                         datetime.datetime(2016, 10, 25, 0, 0),\n                         datetime.datetime(2016, 10, 26, 0, 0),\n                         datetime.datetime(2016, 10, 27, 0, 0),\n                         datetime.datetime(2016, 10, 28, 0, 0),\n                         datetime.datetime(2016, 10, 31, 0, 0),\n                         datetime.datetime(2016, 11, 1, 0, 0),\n                         datetime.datetime(2016, 11, 2, 0, 0),\n                         datetime.datetime(2016, 11, 3, 0, 0),\n                         datetime.datetime(2016, 11, 4, 0, 0),\n                         datetime.datetime(2016, 11, 7, 0, 0),\n                         datetime.datetime(2016, 11, 8, 0, 0),\n                         datetime.datetime(2016, 11, 9, 0, 0),\n                         datetime.datetime(2016, 11, 10, 0, 0),\n                         datetime.datetime(2016, 11, 11, 0, 0),\n                         datetime.datetime(2016, 11, 14, 0, 0),\n                         datetime.datetime(2016, 11, 15, 0, 0),\n                         datetime.datetime(2016, 11, 16, 0, 0),\n                         datetime.datetime(2016, 11, 17, 0, 0),\n                         datetime.datetime(2016, 11, 18, 0, 0),\n                         datetime.datetime(2016, 11, 21, 0, 0),\n                         datetime.datetime(2016, 11, 22, 0, 0),\n                         datetime.datetime(2016, 11, 23, 0, 0),\n                         datetime.datetime(2016, 11, 24, 0, 0),\n                         datetime.datetime(2016, 11, 25, 0, 0),\n                         datetime.datetime(2016, 11, 28, 0, 0),\n                         datetime.datetime(2016, 11, 29, 0, 0),\n                         datetime.datetime(2016, 11, 30, 0, 0),\n                         datetime.datetime(2016, 12, 1, 0, 0),\n                         datetime.datetime(2016, 12, 2, 0, 0),\n                         datetime.datetime(2016, 12, 5, 0, 0),\n                         datetime.datetime(2016, 12, 6, 0, 0),\n                         datetime.datetime(2016, 12, 7, 0, 0),\n                         datetime.datetime(2016, 12, 8, 0, 0),\n                         datetime.datetime(2016, 12, 9, 0, 0),\n                         datetime.datetime(2016, 12, 12, 0, 0),\n                         datetime.datetime(2016, 12, 13, 0, 0),\n                         datetime.datetime(2016, 12, 14, 0, 0),\n                         datetime.datetime(2016, 12, 15, 0, 0),\n                         datetime.datetime(2016, 12, 16, 0, 0),\n                         datetime.datetime(2016, 12, 19, 0, 0),\n                         datetime.datetime(2016, 12, 20, 0, 0),\n                         datetime.datetime(2016, 12, 21, 0, 0),\n                         datetime.datetime(2016, 12, 22, 0, 0),\n                         datetime.datetime(2016, 12, 23, 0, 0),\n                         datetime.datetime(2016, 12, 26, 0, 0),\n                         datetime.datetime(2016, 12, 27, 0, 0),\n                         datetime.datetime(2016, 12, 28, 0, 0),\n                         datetime.datetime(2016, 12, 29, 0, 0),\n                         datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)}),\n                ('potential_loss_arr',\n                 {'ploss': array([     0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        ,      0.        ,      0.        ,      0.        ,\n                              0.        , -11855.96086942,      0.        ,      0.        ,\n                          -9925.18399791, -13127.75483682, -29161.36347694, -33845.09444779,\n                         -34264.25602264, -23765.75476139, -23100.89965489, -24036.66041525,\n                         -23408.39482976, -23669.63742774, -22362.4109843 , -27394.46536873,\n                         -24491.02145185, -21491.19831813, -18507.22668918, -21735.17709901,\n                         -19333.56584237, -20649.40680774, -11957.00000866, -12788.09533277,\n                         -12259.68303528, -12092.48945549, -11628.9686494 ,      0.        ,\n                              0.        , -11965.66004014, -10978.67007847, -13498.41460943,\n                         -14517.50295005, -13208.14653552, -12447.51989678, -14262.6286294 ,\n                         -15420.85510497, -13062.25025094, -24635.11843093, -22774.61872595,\n                         -21018.97949881, -26802.83051073, -24554.22911478, -23196.47218653,\n                         -23199.98492247, -21518.13950699, -21949.60427977, -17110.70451599,\n                         -15941.3426383 , -19999.51331758, -21114.71657026, -16510.96318364,\n                         -10549.39260475, -10469.76850559, -11221.43734094, -10973.31148164,\n                         -12901.71723849, -13895.61531227, -13228.5263332 , -21768.21670533,\n                         -17768.7737657 , -16839.00282481, -15831.09385222, -16662.31495396,\n                         -17426.34653355, -21281.76853396, -15865.54150202, -15079.44602246,\n                              0.        , -12798.5034934 , -12799.01199926, -22597.96792908,\n                         -21407.98052198, -23128.90852107, -20493.87648314, -19675.15118384,\n                         -19322.52205661, -17664.21228719, -18375.11736434, -25393.66375467,\n                         -27271.39240262, -25511.24411589, -24416.22249536, -24239.68125035,\n                         -20550.81584709, -16337.62231699, -16168.36044208, -16505.41014202,\n                         -17293.87694712, -18262.61698191, -18262.61698191, -18262.61698191,\n                         -18262.61698191, -18970.5907644 , -18279.95455874, -17795.54999783,\n                         -17512.5809969 , -17344.71803025, -17167.26289408, -23256.0454807 ,\n                         -19721.43060219, -21294.37289265, -22497.29173008, -20207.42013443,\n                         -22176.91066031, -19915.41882072, -26899.24544513, -19347.04184794,\n                         -20107.17423348, -15891.16959947, -14856.99061476, -14504.28684021,\n                         -15791.22613071, -16104.91110183, -16010.22855788, -13903.93598559,\n                         -12871.13378829, -12410.72014069, -13009.42163278,      0.        ,\n                              0.        , -18154.32186443, -15325.77400768, -19738.84687703,\n                         -32882.99157316, -31751.83239625, -32099.07065384, -29788.61607508,\n                         -31297.35370017, -49325.71587195, -52972.70763885, -51408.07302756,\n                         -55599.38955339, -54316.96780454, -53599.37797405, -57480.86025218,\n                         -55364.44857958, -54401.71485332, -57628.3964606 , -64692.37196852,\n                         -57201.78697209, -58147.77058906, -70813.50487278, -55968.03849399]),\n                  'date': array([datetime.datetime(2016, 1, 4, 0, 0),\n                         datetime.datetime(2016, 1, 5, 0, 0),\n                         datetime.datetime(2016, 1, 6, 0, 0),\n                         datetime.datetime(2016, 1, 7, 0, 0),\n                         datetime.datetime(2016, 1, 8, 0, 0),\n                         datetime.datetime(2016, 1, 11, 0, 0),\n                         datetime.datetime(2016, 1, 12, 0, 0),\n                         datetime.datetime(2016, 1, 13, 0, 0),\n                         datetime.datetime(2016, 1, 14, 0, 0),\n                         datetime.datetime(2016, 1, 15, 0, 0),\n                         datetime.datetime(2016, 1, 18, 0, 0),\n                         datetime.datetime(2016, 1, 19, 0, 0),\n                         datetime.datetime(2016, 1, 20, 0, 0),\n                         datetime.datetime(2016, 1, 21, 0, 0),\n                         datetime.datetime(2016, 1, 22, 0, 0),\n                         datetime.datetime(2016, 1, 25, 0, 0),\n                         datetime.datetime(2016, 1, 26, 0, 0),\n                         datetime.datetime(2016, 1, 27, 0, 0),\n                         datetime.datetime(2016, 1, 28, 0, 0),\n                         datetime.datetime(2016, 1, 29, 0, 0),\n                         datetime.datetime(2016, 2, 1, 0, 0),\n                         datetime.datetime(2016, 2, 2, 0, 0),\n                         datetime.datetime(2016, 2, 3, 0, 0),\n                         datetime.datetime(2016, 2, 4, 0, 0),\n                         datetime.datetime(2016, 2, 5, 0, 0),\n                         datetime.datetime(2016, 2, 15, 0, 0),\n                         datetime.datetime(2016, 2, 16, 0, 0),\n                         datetime.datetime(2016, 2, 17, 0, 0),\n                         datetime.datetime(2016, 2, 18, 0, 0),\n                         datetime.datetime(2016, 2, 19, 0, 0),\n                         datetime.datetime(2016, 2, 22, 0, 0),\n                         datetime.datetime(2016, 2, 23, 0, 0),\n                         datetime.datetime(2016, 2, 24, 0, 0),\n                         datetime.datetime(2016, 2, 25, 0, 0),\n                         datetime.datetime(2016, 2, 26, 0, 0),\n                         datetime.datetime(2016, 2, 29, 0, 0),\n                         datetime.datetime(2016, 3, 1, 0, 0),\n                         datetime.datetime(2016, 3, 2, 0, 0),\n                         datetime.datetime(2016, 3, 3, 0, 0),\n                         datetime.datetime(2016, 3, 4, 0, 0),\n                         datetime.datetime(2016, 3, 7, 0, 0),\n                         datetime.datetime(2016, 3, 8, 0, 0),\n                         datetime.datetime(2016, 3, 9, 0, 0),\n                         datetime.datetime(2016, 3, 10, 0, 0),\n                         datetime.datetime(2016, 3, 11, 0, 0),\n                         datetime.datetime(2016, 3, 14, 0, 0),\n                         datetime.datetime(2016, 3, 15, 0, 0),\n                         datetime.datetime(2016, 3, 16, 0, 0),\n                         datetime.datetime(2016, 3, 17, 0, 0),\n                         datetime.datetime(2016, 3, 18, 0, 0),\n                         datetime.datetime(2016, 3, 21, 0, 0),\n                         datetime.datetime(2016, 3, 22, 0, 0),\n                         datetime.datetime(2016, 3, 23, 0, 0),\n                         datetime.datetime(2016, 3, 24, 0, 0),\n                         datetime.datetime(2016, 3, 25, 0, 0),\n                         datetime.datetime(2016, 3, 28, 0, 0),\n                         datetime.datetime(2016, 3, 29, 0, 0),\n                         datetime.datetime(2016, 3, 30, 0, 0),\n                         datetime.datetime(2016, 3, 31, 0, 0),\n                         datetime.datetime(2016, 4, 1, 0, 0),\n                         datetime.datetime(2016, 4, 5, 0, 0),\n                         datetime.datetime(2016, 4, 6, 0, 0),\n                         datetime.datetime(2016, 4, 7, 0, 0),\n                         datetime.datetime(2016, 4, 8, 0, 0),\n                         datetime.datetime(2016, 4, 11, 0, 0),\n                         datetime.datetime(2016, 4, 12, 0, 0),\n                         datetime.datetime(2016, 4, 13, 0, 0),\n                         datetime.datetime(2016, 4, 14, 0, 0),\n                         datetime.datetime(2016, 4, 15, 0, 0),\n                         datetime.datetime(2016, 4, 18, 0, 0),\n                         datetime.datetime(2016, 4, 19, 0, 0),\n                         datetime.datetime(2016, 4, 20, 0, 0),\n                         datetime.datetime(2016, 4, 21, 0, 0),\n                         datetime.datetime(2016, 4, 22, 0, 0),\n                         datetime.datetime(2016, 4, 25, 0, 0),\n                         datetime.datetime(2016, 4, 26, 0, 0),\n                         datetime.datetime(2016, 4, 27, 0, 0),\n                         datetime.datetime(2016, 4, 28, 0, 0),\n                         datetime.datetime(2016, 4, 29, 0, 0),\n                         datetime.datetime(2016, 5, 3, 0, 0),\n                         datetime.datetime(2016, 5, 4, 0, 0),\n                         datetime.datetime(2016, 5, 5, 0, 0),\n                         datetime.datetime(2016, 5, 6, 0, 0),\n                         datetime.datetime(2016, 5, 9, 0, 0),\n                         datetime.datetime(2016, 5, 10, 0, 0),\n                         datetime.datetime(2016, 5, 11, 0, 0),\n                         datetime.datetime(2016, 5, 12, 0, 0),\n                         datetime.datetime(2016, 5, 13, 0, 0),\n                         datetime.datetime(2016, 5, 16, 0, 0),\n                         datetime.datetime(2016, 5, 17, 0, 0),\n                         datetime.datetime(2016, 5, 18, 0, 0),\n                         datetime.datetime(2016, 5, 19, 0, 0),\n                         datetime.datetime(2016, 5, 20, 0, 0),\n                         datetime.datetime(2016, 5, 23, 0, 0),\n                         datetime.datetime(2016, 5, 24, 0, 0),\n                         datetime.datetime(2016, 5, 25, 0, 0),\n                         datetime.datetime(2016, 5, 26, 0, 0),\n                         datetime.datetime(2016, 5, 27, 0, 0),\n                         datetime.datetime(2016, 5, 30, 0, 0),\n                         datetime.datetime(2016, 5, 31, 0, 0),\n                         datetime.datetime(2016, 6, 1, 0, 0),\n                         datetime.datetime(2016, 6, 2, 0, 0),\n                         datetime.datetime(2016, 6, 3, 0, 0),\n                         datetime.datetime(2016, 6, 6, 0, 0),\n                         datetime.datetime(2016, 6, 7, 0, 0),\n                         datetime.datetime(2016, 6, 8, 0, 0),\n                         datetime.datetime(2016, 6, 13, 0, 0),\n                         datetime.datetime(2016, 6, 14, 0, 0),\n                         datetime.datetime(2016, 6, 15, 0, 0),\n                         datetime.datetime(2016, 6, 16, 0, 0),\n                         datetime.datetime(2016, 6, 17, 0, 0),\n                         datetime.datetime(2016, 6, 20, 0, 0),\n                         datetime.datetime(2016, 6, 21, 0, 0),\n                         datetime.datetime(2016, 6, 22, 0, 0),\n                         datetime.datetime(2016, 6, 23, 0, 0),\n                         datetime.datetime(2016, 6, 24, 0, 0),\n                         datetime.datetime(2016, 6, 27, 0, 0),\n                         datetime.datetime(2016, 6, 28, 0, 0),\n                         datetime.datetime(2016, 6, 29, 0, 0),\n                         datetime.datetime(2016, 6, 30, 0, 0),\n                         datetime.datetime(2016, 7, 1, 0, 0),\n                         datetime.datetime(2016, 7, 4, 0, 0),\n                         datetime.datetime(2016, 7, 5, 0, 0),\n                         datetime.datetime(2016, 7, 6, 0, 0),\n                         datetime.datetime(2016, 7, 7, 0, 0),\n                         datetime.datetime(2016, 7, 8, 0, 0),\n                         datetime.datetime(2016, 7, 11, 0, 0),\n                         datetime.datetime(2016, 7, 12, 0, 0),\n                         datetime.datetime(2016, 7, 13, 0, 0),\n                         datetime.datetime(2016, 7, 14, 0, 0),\n                         datetime.datetime(2016, 7, 15, 0, 0),\n                         datetime.datetime(2016, 7, 18, 0, 0),\n                         datetime.datetime(2016, 7, 19, 0, 0),\n                         datetime.datetime(2016, 7, 20, 0, 0),\n                         datetime.datetime(2016, 7, 21, 0, 0),\n                         datetime.datetime(2016, 7, 22, 0, 0),\n                         datetime.datetime(2016, 7, 25, 0, 0),\n                         datetime.datetime(2016, 7, 26, 0, 0),\n                         datetime.datetime(2016, 7, 27, 0, 0),\n                         datetime.datetime(2016, 7, 28, 0, 0),\n                         datetime.datetime(2016, 7, 29, 0, 0),\n                         datetime.datetime(2016, 8, 1, 0, 0),\n                         datetime.datetime(2016, 8, 2, 0, 0),\n                         datetime.datetime(2016, 8, 3, 0, 0),\n                         datetime.datetime(2016, 8, 4, 0, 0),\n                         datetime.datetime(2016, 8, 5, 0, 0),\n                         datetime.datetime(2016, 8, 8, 0, 0),\n                         datetime.datetime(2016, 8, 9, 0, 0),\n                         datetime.datetime(2016, 8, 10, 0, 0),\n                         datetime.datetime(2016, 8, 11, 0, 0),\n                         datetime.datetime(2016, 8, 12, 0, 0),\n                         datetime.datetime(2016, 8, 15, 0, 0),\n                         datetime.datetime(2016, 8, 16, 0, 0),\n                         datetime.datetime(2016, 8, 17, 0, 0),\n                         datetime.datetime(2016, 8, 18, 0, 0),\n                         datetime.datetime(2016, 8, 19, 0, 0),\n                         datetime.datetime(2016, 8, 22, 0, 0),\n                         datetime.datetime(2016, 8, 23, 0, 0),\n                         datetime.datetime(2016, 8, 24, 0, 0),\n                         datetime.datetime(2016, 8, 25, 0, 0),\n                         datetime.datetime(2016, 8, 26, 0, 0),\n                         datetime.datetime(2016, 8, 29, 0, 0),\n                         datetime.datetime(2016, 8, 30, 0, 0),\n                         datetime.datetime(2016, 8, 31, 0, 0),\n                         datetime.datetime(2016, 9, 1, 0, 0),\n                         datetime.datetime(2016, 9, 2, 0, 0),\n                         datetime.datetime(2016, 9, 5, 0, 0),\n                         datetime.datetime(2016, 9, 6, 0, 0),\n                         datetime.datetime(2016, 9, 7, 0, 0),\n                         datetime.datetime(2016, 9, 8, 0, 0),\n                         datetime.datetime(2016, 9, 9, 0, 0),\n                         datetime.datetime(2016, 9, 12, 0, 0),\n                         datetime.datetime(2016, 9, 13, 0, 0),\n                         datetime.datetime(2016, 9, 14, 0, 0),\n                         datetime.datetime(2016, 9, 19, 0, 0),\n                         datetime.datetime(2016, 9, 20, 0, 0),\n                         datetime.datetime(2016, 9, 21, 0, 0),\n                         datetime.datetime(2016, 9, 22, 0, 0),\n                         datetime.datetime(2016, 9, 23, 0, 0),\n                         datetime.datetime(2016, 9, 26, 0, 0),\n                         datetime.datetime(2016, 9, 27, 0, 0),\n                         datetime.datetime(2016, 9, 28, 0, 0),\n                         datetime.datetime(2016, 9, 29, 0, 0),\n                         datetime.datetime(2016, 9, 30, 0, 0),\n                         datetime.datetime(2016, 10, 10, 0, 0),\n                         datetime.datetime(2016, 10, 11, 0, 0),\n                         datetime.datetime(2016, 10, 12, 0, 0),\n                         datetime.datetime(2016, 10, 13, 0, 0),\n                         datetime.datetime(2016, 10, 14, 0, 0),\n                         datetime.datetime(2016, 10, 17, 0, 0),\n                         datetime.datetime(2016, 10, 18, 0, 0),\n                         datetime.datetime(2016, 10, 19, 0, 0),\n                         datetime.datetime(2016, 10, 20, 0, 0),\n                         datetime.datetime(2016, 10, 21, 0, 0),\n                         datetime.datetime(2016, 10, 24, 0, 0),\n                         datetime.datetime(2016, 10, 25, 0, 0),\n                         datetime.datetime(2016, 10, 26, 0, 0),\n                         datetime.datetime(2016, 10, 27, 0, 0),\n                         datetime.datetime(2016, 10, 28, 0, 0),\n                         datetime.datetime(2016, 10, 31, 0, 0),\n                         datetime.datetime(2016, 11, 1, 0, 0),\n                         datetime.datetime(2016, 11, 2, 0, 0),\n                         datetime.datetime(2016, 11, 3, 0, 0),\n                         datetime.datetime(2016, 11, 4, 0, 0),\n                         datetime.datetime(2016, 11, 7, 0, 0),\n                         datetime.datetime(2016, 11, 8, 0, 0),\n                         datetime.datetime(2016, 11, 9, 0, 0),\n                         datetime.datetime(2016, 11, 10, 0, 0),\n                         datetime.datetime(2016, 11, 11, 0, 0),\n                         datetime.datetime(2016, 11, 14, 0, 0),\n                         datetime.datetime(2016, 11, 15, 0, 0),\n                         datetime.datetime(2016, 11, 16, 0, 0),\n                         datetime.datetime(2016, 11, 17, 0, 0),\n                         datetime.datetime(2016, 11, 18, 0, 0),\n                         datetime.datetime(2016, 11, 21, 0, 0),\n                         datetime.datetime(2016, 11, 22, 0, 0),\n                         datetime.datetime(2016, 11, 23, 0, 0),\n                         datetime.datetime(2016, 11, 24, 0, 0),\n                         datetime.datetime(2016, 11, 25, 0, 0),\n                         datetime.datetime(2016, 11, 28, 0, 0),\n                         datetime.datetime(2016, 11, 29, 0, 0),\n                         datetime.datetime(2016, 11, 30, 0, 0),\n                         datetime.datetime(2016, 12, 1, 0, 0),\n                         datetime.datetime(2016, 12, 2, 0, 0),\n                         datetime.datetime(2016, 12, 5, 0, 0),\n                         datetime.datetime(2016, 12, 6, 0, 0),\n                         datetime.datetime(2016, 12, 7, 0, 0),\n                         datetime.datetime(2016, 12, 8, 0, 0),\n                         datetime.datetime(2016, 12, 9, 0, 0),\n                         datetime.datetime(2016, 12, 12, 0, 0),\n                         datetime.datetime(2016, 12, 13, 0, 0),\n                         datetime.datetime(2016, 12, 14, 0, 0),\n                         datetime.datetime(2016, 12, 15, 0, 0),\n                         datetime.datetime(2016, 12, 16, 0, 0),\n                         datetime.datetime(2016, 12, 19, 0, 0),\n                         datetime.datetime(2016, 12, 20, 0, 0),\n                         datetime.datetime(2016, 12, 21, 0, 0),\n                         datetime.datetime(2016, 12, 22, 0, 0),\n                         datetime.datetime(2016, 12, 23, 0, 0),\n                         datetime.datetime(2016, 12, 26, 0, 0),\n                         datetime.datetime(2016, 12, 27, 0, 0),\n                         datetime.datetime(2016, 12, 28, 0, 0),\n                         datetime.datetime(2016, 12, 29, 0, 0),\n                         datetime.datetime(2016, 12, 30, 0, 0)], dtype=object)})])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = at.get_performance('6523429070489776137')\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          code      PE\n0  SZSE.000002  12.723\n"
     ]
    }
   ],
   "source": [
    "factor_data = at.get_factor_by_day(factor_list=['PE'], target_list=['SZSE.000002'], date='2016-01-04')\n",
    "print(factor_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  测试因子    年化收益率   年化夏普率    最大回撤率   alpha     beta     信息比率\n0   PE -0.02729 -0.9343  0.05848 -0.0368  0.08164  0.41978\n1   PB -0.02729 -0.9343  0.05848 -0.0368  0.08164  0.41978\n"
     ]
    }
   ],
   "source": [
    "import atrader as at\n",
    "import pandas \n",
    "strategy_dicts = at.get_strategy_id()\n",
    "save_dict = {\"测试因子\": [],\n",
    "                 '年化收益率': [],\n",
    "                 '年化夏普率': [],\n",
    "                 '最大回撤率': [],\n",
    "                 'alpha': [],\n",
    "                 'beta': [],\n",
    "                 '信息比率': []\n",
    "                 }\n",
    "for strategy in strategy_dicts:\n",
    "    strategy_id = strategy[\"strategy_id\"]\n",
    "    result = at.get_performance(strategy_id)\n",
    "    save_dict['测试因子'].append(result['strategy_name'])\n",
    "    save_dict['年化收益率'].append(result['annu_return'])\n",
    "    save_dict['年化夏普率'].append(result['sharpe_ratio'])\n",
    "    save_dict['最大回撤率'].append(result['max_drawback_rate'])\n",
    "    save_dict['alpha'].append(result['alpha'])\n",
    "    save_dict['beta'].append(result['beta'])\n",
    "    save_dict['信息比率'].append(result['info_ratio'])\n",
    "\n",
    "df = pd.DataFrame(save_dict)\n",
    "df.to_csv(\"single_factor_test.csv\", sep=',')\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'at' is not defined",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-25b148bb2f63>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# 测试分层回测\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m# 先获取沪深300股的代号\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mA\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mat\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_code_list\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'hs300'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdate\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'2018-06-02'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mcode_list\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mA\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'code'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mfactor_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mat\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_factor_by_day\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfactor_list\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'MktValue'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcode_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdate\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'2016-02-07'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'at' is not defined"
     ],
     "output_type": "error"
    }
   ],
   "source": [
    "# 测试分层回测\n",
    "# 先获取沪深300股的代号\n",
    "A = at.get_code_list('hs300', date='2018-06-02')\n",
    "code_list = A['code'].tolist()\n",
    "factor_data = at.get_factor_by_day(factor_list=['MktValue'], target_list=code_list, date='2016-02-07')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}