Machine Learning Module 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\PHANINDRA'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(r\"C:\\Users\\PHANINDRA\\Desktop\\my internship\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\PHANINDRA\\\\Desktop\\\\my internship'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"week2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Symbol</th>\n",
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       "      <th>Open Price</th>\n",
       "      <th>High Price</th>\n",
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       "      <th>Last Price</th>\n",
       "      <th>Close Price</th>\n",
       "      <th>...</th>\n",
       "      <th>Total Traded Quantity</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>No. of Trades</th>\n",
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       "      <th>% Dly Qt to Traded Qty</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Day_Perc_Change</th>\n",
       "      <th>Trend</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>INFRATEL</td>\n",
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       "      <td>2017-05-15</td>\n",
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       "      <td>372.00</td>\n",
       "      <td>371.05</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>INFRATEL</td>\n",
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       "      <td>2017-05-16</td>\n",
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       "      <td>371.15</td>\n",
       "      <td>380.85</td>\n",
       "      <td>370.05</td>\n",
       "      <td>375.75</td>\n",
       "      <td>376.55</td>\n",
       "      <td>...</td>\n",
       "      <td>1346372</td>\n",
       "      <td>5.076459e+08</td>\n",
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       "      <td>374.563824</td>\n",
       "      <td>0.014823</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-17</td>\n",
       "      <td>376.55</td>\n",
       "      <td>377.60</td>\n",
       "      <td>396.50</td>\n",
       "      <td>375.10</td>\n",
       "      <td>388.95</td>\n",
       "      <td>389.90</td>\n",
       "      <td>...</td>\n",
       "      <td>2268036</td>\n",
       "      <td>8.691629e+08</td>\n",
       "      <td>83975</td>\n",
       "      <td>1371275</td>\n",
       "      <td>60.46</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>382.513424</td>\n",
       "      <td>0.035453</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-18</td>\n",
       "      <td>389.90</td>\n",
       "      <td>388.40</td>\n",
       "      <td>388.85</td>\n",
       "      <td>377.00</td>\n",
       "      <td>378.55</td>\n",
       "      <td>378.90</td>\n",
       "      <td>...</td>\n",
       "      <td>2014628</td>\n",
       "      <td>7.707910e+08</td>\n",
       "      <td>50270</td>\n",
       "      <td>1025637</td>\n",
       "      <td>50.91</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>381.374202</td>\n",
       "      <td>-0.028212</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-19</td>\n",
       "      <td>378.90</td>\n",
       "      <td>381.10</td>\n",
       "      <td>387.50</td>\n",
       "      <td>374.85</td>\n",
       "      <td>379.40</td>\n",
       "      <td>378.95</td>\n",
       "      <td>...</td>\n",
       "      <td>2031322</td>\n",
       "      <td>7.707525e+08</td>\n",
       "      <td>63099</td>\n",
       "      <td>1020560</td>\n",
       "      <td>50.24</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>380.789461</td>\n",
       "      <td>0.000132</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-22</td>\n",
       "      <td>378.95</td>\n",
       "      <td>383.70</td>\n",
       "      <td>389.30</td>\n",
       "      <td>376.15</td>\n",
       "      <td>388.20</td>\n",
       "      <td>387.95</td>\n",
       "      <td>...</td>\n",
       "      <td>2772691</td>\n",
       "      <td>1.069052e+09</td>\n",
       "      <td>73071</td>\n",
       "      <td>1228540</td>\n",
       "      <td>44.31</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>382.563073</td>\n",
       "      <td>0.023750</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-23</td>\n",
       "      <td>387.95</td>\n",
       "      <td>385.00</td>\n",
       "      <td>390.00</td>\n",
       "      <td>378.40</td>\n",
       "      <td>379.90</td>\n",
       "      <td>379.85</td>\n",
       "      <td>...</td>\n",
       "      <td>3811223</td>\n",
       "      <td>1.459071e+09</td>\n",
       "      <td>60957</td>\n",
       "      <td>2039492</td>\n",
       "      <td>53.51</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>381.873975</td>\n",
       "      <td>-0.020879</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-24</td>\n",
       "      <td>379.85</td>\n",
       "      <td>379.85</td>\n",
       "      <td>382.00</td>\n",
       "      <td>367.20</td>\n",
       "      <td>368.45</td>\n",
       "      <td>369.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3134390</td>\n",
       "      <td>1.167521e+09</td>\n",
       "      <td>83856</td>\n",
       "      <td>1860115</td>\n",
       "      <td>59.35</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>379.649458</td>\n",
       "      <td>-0.028564</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-25</td>\n",
       "      <td>369.00</td>\n",
       "      <td>369.10</td>\n",
       "      <td>376.35</td>\n",
       "      <td>365.85</td>\n",
       "      <td>368.70</td>\n",
       "      <td>373.50</td>\n",
       "      <td>...</td>\n",
       "      <td>7287977</td>\n",
       "      <td>2.709680e+09</td>\n",
       "      <td>89929</td>\n",
       "      <td>6053646</td>\n",
       "      <td>83.06</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.886925</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-26</td>\n",
       "      <td>373.50</td>\n",
       "      <td>370.00</td>\n",
       "      <td>377.20</td>\n",
       "      <td>366.30</td>\n",
       "      <td>369.50</td>\n",
       "      <td>369.95</td>\n",
       "      <td>...</td>\n",
       "      <td>1918463</td>\n",
       "      <td>7.126107e+08</td>\n",
       "      <td>43541</td>\n",
       "      <td>788763</td>\n",
       "      <td>41.11</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.330112</td>\n",
       "      <td>-0.009505</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-29</td>\n",
       "      <td>369.95</td>\n",
       "      <td>370.00</td>\n",
       "      <td>381.40</td>\n",
       "      <td>367.70</td>\n",
       "      <td>377.10</td>\n",
       "      <td>379.35</td>\n",
       "      <td>...</td>\n",
       "      <td>3887542</td>\n",
       "      <td>1.463948e+09</td>\n",
       "      <td>54997</td>\n",
       "      <td>2827505</td>\n",
       "      <td>72.73</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.581520</td>\n",
       "      <td>0.025409</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-30</td>\n",
       "      <td>379.35</td>\n",
       "      <td>379.35</td>\n",
       "      <td>379.85</td>\n",
       "      <td>365.65</td>\n",
       "      <td>373.00</td>\n",
       "      <td>372.25</td>\n",
       "      <td>...</td>\n",
       "      <td>1273594</td>\n",
       "      <td>4.730920e+08</td>\n",
       "      <td>28694</td>\n",
       "      <td>420437</td>\n",
       "      <td>33.01</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.372638</td>\n",
       "      <td>-0.018716</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-05-31</td>\n",
       "      <td>372.25</td>\n",
       "      <td>374.25</td>\n",
       "      <td>374.35</td>\n",
       "      <td>360.65</td>\n",
       "      <td>368.20</td>\n",
       "      <td>366.60</td>\n",
       "      <td>...</td>\n",
       "      <td>3613527</td>\n",
       "      <td>1.320156e+09</td>\n",
       "      <td>132010</td>\n",
       "      <td>2260332</td>\n",
       "      <td>62.55</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>376.294942</td>\n",
       "      <td>-0.015178</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-01</td>\n",
       "      <td>366.60</td>\n",
       "      <td>370.10</td>\n",
       "      <td>379.45</td>\n",
       "      <td>369.80</td>\n",
       "      <td>377.00</td>\n",
       "      <td>376.25</td>\n",
       "      <td>...</td>\n",
       "      <td>2505966</td>\n",
       "      <td>9.399122e+08</td>\n",
       "      <td>50681</td>\n",
       "      <td>1369539</td>\n",
       "      <td>54.65</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>376.292026</td>\n",
       "      <td>0.026323</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-02</td>\n",
       "      <td>376.25</td>\n",
       "      <td>376.45</td>\n",
       "      <td>382.90</td>\n",
       "      <td>371.00</td>\n",
       "      <td>373.30</td>\n",
       "      <td>374.65</td>\n",
       "      <td>...</td>\n",
       "      <td>1334349</td>\n",
       "      <td>5.028735e+08</td>\n",
       "      <td>37710</td>\n",
       "      <td>496717</td>\n",
       "      <td>37.23</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>376.237197</td>\n",
       "      <td>-0.004252</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-05</td>\n",
       "      <td>374.65</td>\n",
       "      <td>381.30</td>\n",
       "      <td>384.90</td>\n",
       "      <td>375.60</td>\n",
       "      <td>380.55</td>\n",
       "      <td>382.45</td>\n",
       "      <td>...</td>\n",
       "      <td>3563721</td>\n",
       "      <td>1.359942e+09</td>\n",
       "      <td>74109</td>\n",
       "      <td>1871029</td>\n",
       "      <td>52.50</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>376.745888</td>\n",
       "      <td>0.020819</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-06</td>\n",
       "      <td>382.45</td>\n",
       "      <td>383.00</td>\n",
       "      <td>388.90</td>\n",
       "      <td>379.80</td>\n",
       "      <td>384.70</td>\n",
       "      <td>383.15</td>\n",
       "      <td>...</td>\n",
       "      <td>2537956</td>\n",
       "      <td>9.746330e+08</td>\n",
       "      <td>53194</td>\n",
       "      <td>1811141</td>\n",
       "      <td>71.36</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.098740</td>\n",
       "      <td>0.001830</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-07</td>\n",
       "      <td>383.15</td>\n",
       "      <td>385.75</td>\n",
       "      <td>388.60</td>\n",
       "      <td>379.70</td>\n",
       "      <td>380.40</td>\n",
       "      <td>383.20</td>\n",
       "      <td>...</td>\n",
       "      <td>1610112</td>\n",
       "      <td>6.179385e+08</td>\n",
       "      <td>45025</td>\n",
       "      <td>812548</td>\n",
       "      <td>50.47</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.304805</td>\n",
       "      <td>0.000130</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-08</td>\n",
       "      <td>383.20</td>\n",
       "      <td>383.00</td>\n",
       "      <td>383.10</td>\n",
       "      <td>374.80</td>\n",
       "      <td>379.50</td>\n",
       "      <td>379.85</td>\n",
       "      <td>...</td>\n",
       "      <td>1107704</td>\n",
       "      <td>4.191941e+08</td>\n",
       "      <td>20214</td>\n",
       "      <td>342689</td>\n",
       "      <td>30.94</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.362601</td>\n",
       "      <td>-0.008742</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-09</td>\n",
       "      <td>379.85</td>\n",
       "      <td>379.85</td>\n",
       "      <td>384.75</td>\n",
       "      <td>377.10</td>\n",
       "      <td>383.00</td>\n",
       "      <td>382.65</td>\n",
       "      <td>...</td>\n",
       "      <td>1545424</td>\n",
       "      <td>5.892548e+08</td>\n",
       "      <td>34955</td>\n",
       "      <td>494657</td>\n",
       "      <td>32.01</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.524968</td>\n",
       "      <td>0.007371</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>382.65</td>\n",
       "      <td>380.55</td>\n",
       "      <td>386.00</td>\n",
       "      <td>376.80</td>\n",
       "      <td>384.75</td>\n",
       "      <td>384.75</td>\n",
       "      <td>...</td>\n",
       "      <td>1660758</td>\n",
       "      <td>6.344843e+08</td>\n",
       "      <td>47895</td>\n",
       "      <td>728996</td>\n",
       "      <td>43.90</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.755777</td>\n",
       "      <td>0.005488</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-13</td>\n",
       "      <td>384.75</td>\n",
       "      <td>385.00</td>\n",
       "      <td>389.85</td>\n",
       "      <td>379.55</td>\n",
       "      <td>381.55</td>\n",
       "      <td>384.20</td>\n",
       "      <td>...</td>\n",
       "      <td>1863956</td>\n",
       "      <td>7.168024e+08</td>\n",
       "      <td>38488</td>\n",
       "      <td>580484</td>\n",
       "      <td>31.14</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.978834</td>\n",
       "      <td>-0.001429</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-14</td>\n",
       "      <td>384.20</td>\n",
       "      <td>382.70</td>\n",
       "      <td>387.40</td>\n",
       "      <td>381.45</td>\n",
       "      <td>386.90</td>\n",
       "      <td>386.10</td>\n",
       "      <td>...</td>\n",
       "      <td>1317476</td>\n",
       "      <td>5.068970e+08</td>\n",
       "      <td>39782</td>\n",
       "      <td>825288</td>\n",
       "      <td>62.64</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>378.172776</td>\n",
       "      <td>0.004945</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-15</td>\n",
       "      <td>386.10</td>\n",
       "      <td>385.30</td>\n",
       "      <td>389.10</td>\n",
       "      <td>370.65</td>\n",
       "      <td>378.25</td>\n",
       "      <td>374.80</td>\n",
       "      <td>...</td>\n",
       "      <td>2369536</td>\n",
       "      <td>8.979236e+08</td>\n",
       "      <td>33682</td>\n",
       "      <td>1201629</td>\n",
       "      <td>50.71</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>378.033877</td>\n",
       "      <td>-0.029267</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-16</td>\n",
       "      <td>374.80</td>\n",
       "      <td>374.80</td>\n",
       "      <td>384.65</td>\n",
       "      <td>373.25</td>\n",
       "      <td>375.00</td>\n",
       "      <td>375.10</td>\n",
       "      <td>...</td>\n",
       "      <td>2699975</td>\n",
       "      <td>1.024121e+09</td>\n",
       "      <td>53617</td>\n",
       "      <td>1350780</td>\n",
       "      <td>50.03</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.902375</td>\n",
       "      <td>0.000800</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-19</td>\n",
       "      <td>375.10</td>\n",
       "      <td>376.00</td>\n",
       "      <td>383.90</td>\n",
       "      <td>373.50</td>\n",
       "      <td>375.05</td>\n",
       "      <td>376.55</td>\n",
       "      <td>...</td>\n",
       "      <td>2163886</td>\n",
       "      <td>8.236665e+08</td>\n",
       "      <td>50329</td>\n",
       "      <td>1353450</td>\n",
       "      <td>62.55</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.855479</td>\n",
       "      <td>0.003866</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>376.55</td>\n",
       "      <td>377.15</td>\n",
       "      <td>381.50</td>\n",
       "      <td>375.70</td>\n",
       "      <td>377.75</td>\n",
       "      <td>377.10</td>\n",
       "      <td>...</td>\n",
       "      <td>1331396</td>\n",
       "      <td>5.039095e+08</td>\n",
       "      <td>27127</td>\n",
       "      <td>283356</td>\n",
       "      <td>21.28</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.839697</td>\n",
       "      <td>0.001461</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-21</td>\n",
       "      <td>377.10</td>\n",
       "      <td>377.50</td>\n",
       "      <td>378.10</td>\n",
       "      <td>370.50</td>\n",
       "      <td>371.05</td>\n",
       "      <td>371.70</td>\n",
       "      <td>...</td>\n",
       "      <td>2388975</td>\n",
       "      <td>8.935386e+08</td>\n",
       "      <td>67053</td>\n",
       "      <td>1379532</td>\n",
       "      <td>57.75</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.617871</td>\n",
       "      <td>-0.014320</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-22</td>\n",
       "      <td>371.70</td>\n",
       "      <td>372.20</td>\n",
       "      <td>376.50</td>\n",
       "      <td>371.00</td>\n",
       "      <td>374.90</td>\n",
       "      <td>375.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1120673</td>\n",
       "      <td>4.200602e+08</td>\n",
       "      <td>40145</td>\n",
       "      <td>595546</td>\n",
       "      <td>53.14</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.574241</td>\n",
       "      <td>0.008878</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2017-06-23</td>\n",
       "      <td>375.00</td>\n",
       "      <td>377.35</td>\n",
       "      <td>378.55</td>\n",
       "      <td>371.05</td>\n",
       "      <td>372.50</td>\n",
       "      <td>372.15</td>\n",
       "      <td>...</td>\n",
       "      <td>2156583</td>\n",
       "      <td>8.095532e+08</td>\n",
       "      <td>61112</td>\n",
       "      <td>981685</td>\n",
       "      <td>45.52</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "      <td>377.405683</td>\n",
       "      <td>-0.007600</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>464</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>312.85</td>\n",
       "      <td>316.90</td>\n",
       "      <td>318.50</td>\n",
       "      <td>311.10</td>\n",
       "      <td>317.00</td>\n",
       "      <td>316.20</td>\n",
       "      <td>...</td>\n",
       "      <td>2831679</td>\n",
       "      <td>8.942635e+08</td>\n",
       "      <td>40560</td>\n",
       "      <td>1293283</td>\n",
       "      <td>45.67</td>\n",
       "      <td>3</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.215306</td>\n",
       "      <td>0.010708</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>465</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>316.20</td>\n",
       "      <td>317.45</td>\n",
       "      <td>319.65</td>\n",
       "      <td>313.45</td>\n",
       "      <td>316.00</td>\n",
       "      <td>317.10</td>\n",
       "      <td>...</td>\n",
       "      <td>1752675</td>\n",
       "      <td>5.557310e+08</td>\n",
       "      <td>35195</td>\n",
       "      <td>836330</td>\n",
       "      <td>47.72</td>\n",
       "      <td>3</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.189306</td>\n",
       "      <td>0.002846</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>466</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-03-29</td>\n",
       "      <td>317.10</td>\n",
       "      <td>317.50</td>\n",
       "      <td>319.15</td>\n",
       "      <td>310.85</td>\n",
       "      <td>312.60</td>\n",
       "      <td>313.40</td>\n",
       "      <td>...</td>\n",
       "      <td>1743099</td>\n",
       "      <td>5.467129e+08</td>\n",
       "      <td>33996</td>\n",
       "      <td>545051</td>\n",
       "      <td>31.27</td>\n",
       "      <td>3</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.159540</td>\n",
       "      <td>-0.011668</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>467</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-01</td>\n",
       "      <td>313.40</td>\n",
       "      <td>314.95</td>\n",
       "      <td>317.60</td>\n",
       "      <td>311.50</td>\n",
       "      <td>313.85</td>\n",
       "      <td>314.25</td>\n",
       "      <td>...</td>\n",
       "      <td>1556091</td>\n",
       "      <td>4.883735e+08</td>\n",
       "      <td>46984</td>\n",
       "      <td>562431</td>\n",
       "      <td>36.14</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.133834</td>\n",
       "      <td>0.002712</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>468</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-02</td>\n",
       "      <td>314.25</td>\n",
       "      <td>314.45</td>\n",
       "      <td>318.10</td>\n",
       "      <td>312.15</td>\n",
       "      <td>314.05</td>\n",
       "      <td>315.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1660087</td>\n",
       "      <td>5.228746e+08</td>\n",
       "      <td>28684</td>\n",
       "      <td>618101</td>\n",
       "      <td>37.23</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.107228</td>\n",
       "      <td>0.002387</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>469</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>315.00</td>\n",
       "      <td>314.50</td>\n",
       "      <td>320.00</td>\n",
       "      <td>314.15</td>\n",
       "      <td>317.00</td>\n",
       "      <td>317.25</td>\n",
       "      <td>...</td>\n",
       "      <td>1971729</td>\n",
       "      <td>6.252407e+08</td>\n",
       "      <td>22026</td>\n",
       "      <td>850460</td>\n",
       "      <td>43.13</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.078414</td>\n",
       "      <td>0.007143</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>470</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-04</td>\n",
       "      <td>317.25</td>\n",
       "      <td>318.50</td>\n",
       "      <td>319.75</td>\n",
       "      <td>314.70</td>\n",
       "      <td>316.20</td>\n",
       "      <td>316.65</td>\n",
       "      <td>...</td>\n",
       "      <td>1339901</td>\n",
       "      <td>4.244321e+08</td>\n",
       "      <td>20584</td>\n",
       "      <td>616134</td>\n",
       "      <td>45.98</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.058381</td>\n",
       "      <td>-0.001891</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>471</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-05</td>\n",
       "      <td>316.65</td>\n",
       "      <td>316.65</td>\n",
       "      <td>320.00</td>\n",
       "      <td>314.40</td>\n",
       "      <td>316.60</td>\n",
       "      <td>316.80</td>\n",
       "      <td>...</td>\n",
       "      <td>1034427</td>\n",
       "      <td>3.279891e+08</td>\n",
       "      <td>12743</td>\n",
       "      <td>368035</td>\n",
       "      <td>35.58</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.043033</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>472</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-08</td>\n",
       "      <td>316.80</td>\n",
       "      <td>317.95</td>\n",
       "      <td>318.70</td>\n",
       "      <td>313.70</td>\n",
       "      <td>317.20</td>\n",
       "      <td>316.10</td>\n",
       "      <td>...</td>\n",
       "      <td>1035460</td>\n",
       "      <td>3.275760e+08</td>\n",
       "      <td>21364</td>\n",
       "      <td>414562</td>\n",
       "      <td>40.04</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.027246</td>\n",
       "      <td>-0.002210</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>473</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>316.10</td>\n",
       "      <td>316.10</td>\n",
       "      <td>318.50</td>\n",
       "      <td>312.50</td>\n",
       "      <td>315.05</td>\n",
       "      <td>315.20</td>\n",
       "      <td>...</td>\n",
       "      <td>777799</td>\n",
       "      <td>2.449096e+08</td>\n",
       "      <td>23816</td>\n",
       "      <td>271676</td>\n",
       "      <td>34.93</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.014972</td>\n",
       "      <td>-0.002847</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>474</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>315.20</td>\n",
       "      <td>315.10</td>\n",
       "      <td>318.20</td>\n",
       "      <td>313.65</td>\n",
       "      <td>315.75</td>\n",
       "      <td>315.30</td>\n",
       "      <td>...</td>\n",
       "      <td>1404102</td>\n",
       "      <td>4.438390e+08</td>\n",
       "      <td>31822</td>\n",
       "      <td>775639</td>\n",
       "      <td>55.24</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.992931</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>475</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-11</td>\n",
       "      <td>315.30</td>\n",
       "      <td>315.35</td>\n",
       "      <td>317.00</td>\n",
       "      <td>311.05</td>\n",
       "      <td>314.00</td>\n",
       "      <td>313.35</td>\n",
       "      <td>...</td>\n",
       "      <td>1316742</td>\n",
       "      <td>4.141204e+08</td>\n",
       "      <td>29631</td>\n",
       "      <td>625947</td>\n",
       "      <td>47.54</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.970730</td>\n",
       "      <td>-0.006185</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>476</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>313.35</td>\n",
       "      <td>314.00</td>\n",
       "      <td>317.35</td>\n",
       "      <td>313.00</td>\n",
       "      <td>314.45</td>\n",
       "      <td>314.65</td>\n",
       "      <td>...</td>\n",
       "      <td>777930</td>\n",
       "      <td>2.452563e+08</td>\n",
       "      <td>29889</td>\n",
       "      <td>327314</td>\n",
       "      <td>42.07</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.958246</td>\n",
       "      <td>0.004149</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>477</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-15</td>\n",
       "      <td>314.65</td>\n",
       "      <td>314.50</td>\n",
       "      <td>316.50</td>\n",
       "      <td>307.30</td>\n",
       "      <td>309.40</td>\n",
       "      <td>308.45</td>\n",
       "      <td>...</td>\n",
       "      <td>1493320</td>\n",
       "      <td>4.649819e+08</td>\n",
       "      <td>26567</td>\n",
       "      <td>498381</td>\n",
       "      <td>33.37</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.928677</td>\n",
       "      <td>-0.019704</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>478</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-16</td>\n",
       "      <td>308.45</td>\n",
       "      <td>310.95</td>\n",
       "      <td>316.90</td>\n",
       "      <td>309.40</td>\n",
       "      <td>312.75</td>\n",
       "      <td>312.95</td>\n",
       "      <td>...</td>\n",
       "      <td>2057364</td>\n",
       "      <td>6.465051e+08</td>\n",
       "      <td>44808</td>\n",
       "      <td>660367</td>\n",
       "      <td>32.10</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.893659</td>\n",
       "      <td>0.014589</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>479</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-18</td>\n",
       "      <td>312.95</td>\n",
       "      <td>312.95</td>\n",
       "      <td>314.45</td>\n",
       "      <td>303.25</td>\n",
       "      <td>306.00</td>\n",
       "      <td>307.20</td>\n",
       "      <td>...</td>\n",
       "      <td>2227796</td>\n",
       "      <td>6.831016e+08</td>\n",
       "      <td>27258</td>\n",
       "      <td>578932</td>\n",
       "      <td>25.99</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.848057</td>\n",
       "      <td>-0.018374</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>480</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-22</td>\n",
       "      <td>307.20</td>\n",
       "      <td>306.80</td>\n",
       "      <td>310.85</td>\n",
       "      <td>295.55</td>\n",
       "      <td>299.00</td>\n",
       "      <td>299.60</td>\n",
       "      <td>...</td>\n",
       "      <td>1606392</td>\n",
       "      <td>4.851854e+08</td>\n",
       "      <td>22777</td>\n",
       "      <td>337306</td>\n",
       "      <td>21.00</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.807841</td>\n",
       "      <td>-0.024740</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>481</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-23</td>\n",
       "      <td>299.60</td>\n",
       "      <td>301.00</td>\n",
       "      <td>303.65</td>\n",
       "      <td>292.55</td>\n",
       "      <td>298.00</td>\n",
       "      <td>294.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1532866</td>\n",
       "      <td>4.552200e+08</td>\n",
       "      <td>28285</td>\n",
       "      <td>341382</td>\n",
       "      <td>22.27</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.764334</td>\n",
       "      <td>-0.018692</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>482</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>294.00</td>\n",
       "      <td>297.00</td>\n",
       "      <td>303.50</td>\n",
       "      <td>291.00</td>\n",
       "      <td>301.00</td>\n",
       "      <td>301.50</td>\n",
       "      <td>...</td>\n",
       "      <td>2572361</td>\n",
       "      <td>7.667179e+08</td>\n",
       "      <td>37887</td>\n",
       "      <td>781457</td>\n",
       "      <td>30.38</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>340.703185</td>\n",
       "      <td>0.025510</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>483</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-25</td>\n",
       "      <td>301.50</td>\n",
       "      <td>287.35</td>\n",
       "      <td>298.00</td>\n",
       "      <td>265.65</td>\n",
       "      <td>272.50</td>\n",
       "      <td>270.70</td>\n",
       "      <td>...</td>\n",
       "      <td>24061163</td>\n",
       "      <td>6.706041e+09</td>\n",
       "      <td>180731</td>\n",
       "      <td>6077265</td>\n",
       "      <td>25.26</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>339.698077</td>\n",
       "      <td>-0.102156</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>484</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-26</td>\n",
       "      <td>270.70</td>\n",
       "      <td>273.00</td>\n",
       "      <td>278.00</td>\n",
       "      <td>271.35</td>\n",
       "      <td>273.00</td>\n",
       "      <td>272.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8713787</td>\n",
       "      <td>2.392621e+09</td>\n",
       "      <td>95898</td>\n",
       "      <td>3410481</td>\n",
       "      <td>39.14</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>339.352538</td>\n",
       "      <td>0.008127</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>485</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>272.90</td>\n",
       "      <td>273.70</td>\n",
       "      <td>278.90</td>\n",
       "      <td>256.50</td>\n",
       "      <td>262.55</td>\n",
       "      <td>262.55</td>\n",
       "      <td>...</td>\n",
       "      <td>9291803</td>\n",
       "      <td>2.443455e+09</td>\n",
       "      <td>76896</td>\n",
       "      <td>5170144</td>\n",
       "      <td>55.64</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.931218</td>\n",
       "      <td>-0.037926</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>486</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-02</td>\n",
       "      <td>262.55</td>\n",
       "      <td>262.55</td>\n",
       "      <td>272.40</td>\n",
       "      <td>262.55</td>\n",
       "      <td>272.00</td>\n",
       "      <td>270.85</td>\n",
       "      <td>...</td>\n",
       "      <td>5510874</td>\n",
       "      <td>1.488349e+09</td>\n",
       "      <td>79237</td>\n",
       "      <td>2464269</td>\n",
       "      <td>44.72</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.710431</td>\n",
       "      <td>0.031613</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>487</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-03</td>\n",
       "      <td>270.85</td>\n",
       "      <td>272.55</td>\n",
       "      <td>278.55</td>\n",
       "      <td>272.10</td>\n",
       "      <td>273.75</td>\n",
       "      <td>274.00</td>\n",
       "      <td>...</td>\n",
       "      <td>4234052</td>\n",
       "      <td>1.168309e+09</td>\n",
       "      <td>61606</td>\n",
       "      <td>1434583</td>\n",
       "      <td>33.88</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.549597</td>\n",
       "      <td>0.011630</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>488</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-06</td>\n",
       "      <td>274.00</td>\n",
       "      <td>273.00</td>\n",
       "      <td>273.50</td>\n",
       "      <td>268.30</td>\n",
       "      <td>272.25</td>\n",
       "      <td>271.85</td>\n",
       "      <td>...</td>\n",
       "      <td>2351319</td>\n",
       "      <td>6.359665e+08</td>\n",
       "      <td>39964</td>\n",
       "      <td>1048140</td>\n",
       "      <td>44.58</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.457662</td>\n",
       "      <td>-0.007847</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>489</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-07</td>\n",
       "      <td>271.85</td>\n",
       "      <td>266.90</td>\n",
       "      <td>270.80</td>\n",
       "      <td>265.75</td>\n",
       "      <td>268.00</td>\n",
       "      <td>268.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2972102</td>\n",
       "      <td>7.964706e+08</td>\n",
       "      <td>52992</td>\n",
       "      <td>1391563</td>\n",
       "      <td>46.82</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.335121</td>\n",
       "      <td>-0.014162</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>490</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-08</td>\n",
       "      <td>268.00</td>\n",
       "      <td>268.00</td>\n",
       "      <td>270.30</td>\n",
       "      <td>263.65</td>\n",
       "      <td>267.55</td>\n",
       "      <td>266.70</td>\n",
       "      <td>...</td>\n",
       "      <td>2225529</td>\n",
       "      <td>5.949861e+08</td>\n",
       "      <td>51482</td>\n",
       "      <td>1075978</td>\n",
       "      <td>48.35</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.241949</td>\n",
       "      <td>-0.004851</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>491</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>266.70</td>\n",
       "      <td>266.95</td>\n",
       "      <td>269.70</td>\n",
       "      <td>261.50</td>\n",
       "      <td>268.00</td>\n",
       "      <td>267.10</td>\n",
       "      <td>...</td>\n",
       "      <td>3520232</td>\n",
       "      <td>9.290673e+08</td>\n",
       "      <td>56601</td>\n",
       "      <td>2051103</td>\n",
       "      <td>58.27</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>338.095890</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>492</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-10</td>\n",
       "      <td>267.10</td>\n",
       "      <td>266.30</td>\n",
       "      <td>267.00</td>\n",
       "      <td>260.75</td>\n",
       "      <td>261.75</td>\n",
       "      <td>262.25</td>\n",
       "      <td>...</td>\n",
       "      <td>2270319</td>\n",
       "      <td>5.965554e+08</td>\n",
       "      <td>48630</td>\n",
       "      <td>983657</td>\n",
       "      <td>43.33</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>337.995595</td>\n",
       "      <td>-0.018158</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>493</td>\n",
       "      <td>INFRATEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>2019-05-13</td>\n",
       "      <td>262.25</td>\n",
       "      <td>261.45</td>\n",
       "      <td>269.15</td>\n",
       "      <td>259.60</td>\n",
       "      <td>265.50</td>\n",
       "      <td>265.45</td>\n",
       "      <td>...</td>\n",
       "      <td>3369566</td>\n",
       "      <td>8.978471e+08</td>\n",
       "      <td>49631</td>\n",
       "      <td>1103984</td>\n",
       "      <td>32.76</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>337.853496</td>\n",
       "      <td>0.012202</td>\n",
       "      <td>Bear Drop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>494 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0    Symbol Series        Date  Prev Close  Open Price  \\\n",
       "0             0  INFRATEL     EQ  2017-05-15      374.70      375.80   \n",
       "1             1  INFRATEL     EQ  2017-05-16      371.05      371.15   \n",
       "2             2  INFRATEL     EQ  2017-05-17      376.55      377.60   \n",
       "3             3  INFRATEL     EQ  2017-05-18      389.90      388.40   \n",
       "4             4  INFRATEL     EQ  2017-05-19      378.90      381.10   \n",
       "5             5  INFRATEL     EQ  2017-05-22      378.95      383.70   \n",
       "6             6  INFRATEL     EQ  2017-05-23      387.95      385.00   \n",
       "7             7  INFRATEL     EQ  2017-05-24      379.85      379.85   \n",
       "8             8  INFRATEL     EQ  2017-05-25      369.00      369.10   \n",
       "9             9  INFRATEL     EQ  2017-05-26      373.50      370.00   \n",
       "10           10  INFRATEL     EQ  2017-05-29      369.95      370.00   \n",
       "11           11  INFRATEL     EQ  2017-05-30      379.35      379.35   \n",
       "12           12  INFRATEL     EQ  2017-05-31      372.25      374.25   \n",
       "13           13  INFRATEL     EQ  2017-06-01      366.60      370.10   \n",
       "14           14  INFRATEL     EQ  2017-06-02      376.25      376.45   \n",
       "15           15  INFRATEL     EQ  2017-06-05      374.65      381.30   \n",
       "16           16  INFRATEL     EQ  2017-06-06      382.45      383.00   \n",
       "17           17  INFRATEL     EQ  2017-06-07      383.15      385.75   \n",
       "18           18  INFRATEL     EQ  2017-06-08      383.20      383.00   \n",
       "19           19  INFRATEL     EQ  2017-06-09      379.85      379.85   \n",
       "20           20  INFRATEL     EQ  2017-06-12      382.65      380.55   \n",
       "21           21  INFRATEL     EQ  2017-06-13      384.75      385.00   \n",
       "22           22  INFRATEL     EQ  2017-06-14      384.20      382.70   \n",
       "23           23  INFRATEL     EQ  2017-06-15      386.10      385.30   \n",
       "24           24  INFRATEL     EQ  2017-06-16      374.80      374.80   \n",
       "25           25  INFRATEL     EQ  2017-06-19      375.10      376.00   \n",
       "26           26  INFRATEL     EQ  2017-06-20      376.55      377.15   \n",
       "27           27  INFRATEL     EQ  2017-06-21      377.10      377.50   \n",
       "28           28  INFRATEL     EQ  2017-06-22      371.70      372.20   \n",
       "29           29  INFRATEL     EQ  2017-06-23      375.00      377.35   \n",
       "..          ...       ...    ...         ...         ...         ...   \n",
       "464         464  INFRATEL     EQ  2019-03-27      312.85      316.90   \n",
       "465         465  INFRATEL     EQ  2019-03-28      316.20      317.45   \n",
       "466         466  INFRATEL     EQ  2019-03-29      317.10      317.50   \n",
       "467         467  INFRATEL     EQ  2019-04-01      313.40      314.95   \n",
       "468         468  INFRATEL     EQ  2019-04-02      314.25      314.45   \n",
       "469         469  INFRATEL     EQ  2019-04-03      315.00      314.50   \n",
       "470         470  INFRATEL     EQ  2019-04-04      317.25      318.50   \n",
       "471         471  INFRATEL     EQ  2019-04-05      316.65      316.65   \n",
       "472         472  INFRATEL     EQ  2019-04-08      316.80      317.95   \n",
       "473         473  INFRATEL     EQ  2019-04-09      316.10      316.10   \n",
       "474         474  INFRATEL     EQ  2019-04-10      315.20      315.10   \n",
       "475         475  INFRATEL     EQ  2019-04-11      315.30      315.35   \n",
       "476         476  INFRATEL     EQ  2019-04-12      313.35      314.00   \n",
       "477         477  INFRATEL     EQ  2019-04-15      314.65      314.50   \n",
       "478         478  INFRATEL     EQ  2019-04-16      308.45      310.95   \n",
       "479         479  INFRATEL     EQ  2019-04-18      312.95      312.95   \n",
       "480         480  INFRATEL     EQ  2019-04-22      307.20      306.80   \n",
       "481         481  INFRATEL     EQ  2019-04-23      299.60      301.00   \n",
       "482         482  INFRATEL     EQ  2019-04-24      294.00      297.00   \n",
       "483         483  INFRATEL     EQ  2019-04-25      301.50      287.35   \n",
       "484         484  INFRATEL     EQ  2019-04-26      270.70      273.00   \n",
       "485         485  INFRATEL     EQ  2019-04-30      272.90      273.70   \n",
       "486         486  INFRATEL     EQ  2019-05-02      262.55      262.55   \n",
       "487         487  INFRATEL     EQ  2019-05-03      270.85      272.55   \n",
       "488         488  INFRATEL     EQ  2019-05-06      274.00      273.00   \n",
       "489         489  INFRATEL     EQ  2019-05-07      271.85      266.90   \n",
       "490         490  INFRATEL     EQ  2019-05-08      268.00      268.00   \n",
       "491         491  INFRATEL     EQ  2019-05-09      266.70      266.95   \n",
       "492         492  INFRATEL     EQ  2019-05-10      267.10      266.30   \n",
       "493         493  INFRATEL     EQ  2019-05-13      262.25      261.45   \n",
       "\n",
       "     High Price  Low Price  Last Price  Close Price    ...      \\\n",
       "0        375.80     368.65      372.00       371.05    ...       \n",
       "1        380.85     370.05      375.75       376.55    ...       \n",
       "2        396.50     375.10      388.95       389.90    ...       \n",
       "3        388.85     377.00      378.55       378.90    ...       \n",
       "4        387.50     374.85      379.40       378.95    ...       \n",
       "5        389.30     376.15      388.20       387.95    ...       \n",
       "6        390.00     378.40      379.90       379.85    ...       \n",
       "7        382.00     367.20      368.45       369.00    ...       \n",
       "8        376.35     365.85      368.70       373.50    ...       \n",
       "9        377.20     366.30      369.50       369.95    ...       \n",
       "10       381.40     367.70      377.10       379.35    ...       \n",
       "11       379.85     365.65      373.00       372.25    ...       \n",
       "12       374.35     360.65      368.20       366.60    ...       \n",
       "13       379.45     369.80      377.00       376.25    ...       \n",
       "14       382.90     371.00      373.30       374.65    ...       \n",
       "15       384.90     375.60      380.55       382.45    ...       \n",
       "16       388.90     379.80      384.70       383.15    ...       \n",
       "17       388.60     379.70      380.40       383.20    ...       \n",
       "18       383.10     374.80      379.50       379.85    ...       \n",
       "19       384.75     377.10      383.00       382.65    ...       \n",
       "20       386.00     376.80      384.75       384.75    ...       \n",
       "21       389.85     379.55      381.55       384.20    ...       \n",
       "22       387.40     381.45      386.90       386.10    ...       \n",
       "23       389.10     370.65      378.25       374.80    ...       \n",
       "24       384.65     373.25      375.00       375.10    ...       \n",
       "25       383.90     373.50      375.05       376.55    ...       \n",
       "26       381.50     375.70      377.75       377.10    ...       \n",
       "27       378.10     370.50      371.05       371.70    ...       \n",
       "28       376.50     371.00      374.90       375.00    ...       \n",
       "29       378.55     371.05      372.50       372.15    ...       \n",
       "..          ...        ...         ...          ...    ...       \n",
       "464      318.50     311.10      317.00       316.20    ...       \n",
       "465      319.65     313.45      316.00       317.10    ...       \n",
       "466      319.15     310.85      312.60       313.40    ...       \n",
       "467      317.60     311.50      313.85       314.25    ...       \n",
       "468      318.10     312.15      314.05       315.00    ...       \n",
       "469      320.00     314.15      317.00       317.25    ...       \n",
       "470      319.75     314.70      316.20       316.65    ...       \n",
       "471      320.00     314.40      316.60       316.80    ...       \n",
       "472      318.70     313.70      317.20       316.10    ...       \n",
       "473      318.50     312.50      315.05       315.20    ...       \n",
       "474      318.20     313.65      315.75       315.30    ...       \n",
       "475      317.00     311.05      314.00       313.35    ...       \n",
       "476      317.35     313.00      314.45       314.65    ...       \n",
       "477      316.50     307.30      309.40       308.45    ...       \n",
       "478      316.90     309.40      312.75       312.95    ...       \n",
       "479      314.45     303.25      306.00       307.20    ...       \n",
       "480      310.85     295.55      299.00       299.60    ...       \n",
       "481      303.65     292.55      298.00       294.00    ...       \n",
       "482      303.50     291.00      301.00       301.50    ...       \n",
       "483      298.00     265.65      272.50       270.70    ...       \n",
       "484      278.00     271.35      273.00       272.90    ...       \n",
       "485      278.90     256.50      262.55       262.55    ...       \n",
       "486      272.40     262.55      272.00       270.85    ...       \n",
       "487      278.55     272.10      273.75       274.00    ...       \n",
       "488      273.50     268.30      272.25       271.85    ...       \n",
       "489      270.80     265.75      268.00       268.00    ...       \n",
       "490      270.30     263.65      267.55       266.70    ...       \n",
       "491      269.70     261.50      268.00       267.10    ...       \n",
       "492      267.00     260.75      261.75       262.25    ...       \n",
       "493      269.15     259.60      265.50       265.45    ...       \n",
       "\n",
       "     Total Traded Quantity      Turnover  No. of Trades  Deliverable Qty  \\\n",
       "0                   761032  2.824044e+08          27740           357531   \n",
       "1                  1346372  5.076459e+08          42924           677288   \n",
       "2                  2268036  8.691629e+08          83975          1371275   \n",
       "3                  2014628  7.707910e+08          50270          1025637   \n",
       "4                  2031322  7.707525e+08          63099          1020560   \n",
       "5                  2772691  1.069052e+09          73071          1228540   \n",
       "6                  3811223  1.459071e+09          60957          2039492   \n",
       "7                  3134390  1.167521e+09          83856          1860115   \n",
       "8                  7287977  2.709680e+09          89929          6053646   \n",
       "9                  1918463  7.126107e+08          43541           788763   \n",
       "10                 3887542  1.463948e+09          54997          2827505   \n",
       "11                 1273594  4.730920e+08          28694           420437   \n",
       "12                 3613527  1.320156e+09         132010          2260332   \n",
       "13                 2505966  9.399122e+08          50681          1369539   \n",
       "14                 1334349  5.028735e+08          37710           496717   \n",
       "15                 3563721  1.359942e+09          74109          1871029   \n",
       "16                 2537956  9.746330e+08          53194          1811141   \n",
       "17                 1610112  6.179385e+08          45025           812548   \n",
       "18                 1107704  4.191941e+08          20214           342689   \n",
       "19                 1545424  5.892548e+08          34955           494657   \n",
       "20                 1660758  6.344843e+08          47895           728996   \n",
       "21                 1863956  7.168024e+08          38488           580484   \n",
       "22                 1317476  5.068970e+08          39782           825288   \n",
       "23                 2369536  8.979236e+08          33682          1201629   \n",
       "24                 2699975  1.024121e+09          53617          1350780   \n",
       "25                 2163886  8.236665e+08          50329          1353450   \n",
       "26                 1331396  5.039095e+08          27127           283356   \n",
       "27                 2388975  8.935386e+08          67053          1379532   \n",
       "28                 1120673  4.200602e+08          40145           595546   \n",
       "29                 2156583  8.095532e+08          61112           981685   \n",
       "..                     ...           ...            ...              ...   \n",
       "464                2831679  8.942635e+08          40560          1293283   \n",
       "465                1752675  5.557310e+08          35195           836330   \n",
       "466                1743099  5.467129e+08          33996           545051   \n",
       "467                1556091  4.883735e+08          46984           562431   \n",
       "468                1660087  5.228746e+08          28684           618101   \n",
       "469                1971729  6.252407e+08          22026           850460   \n",
       "470                1339901  4.244321e+08          20584           616134   \n",
       "471                1034427  3.279891e+08          12743           368035   \n",
       "472                1035460  3.275760e+08          21364           414562   \n",
       "473                 777799  2.449096e+08          23816           271676   \n",
       "474                1404102  4.438390e+08          31822           775639   \n",
       "475                1316742  4.141204e+08          29631           625947   \n",
       "476                 777930  2.452563e+08          29889           327314   \n",
       "477                1493320  4.649819e+08          26567           498381   \n",
       "478                2057364  6.465051e+08          44808           660367   \n",
       "479                2227796  6.831016e+08          27258           578932   \n",
       "480                1606392  4.851854e+08          22777           337306   \n",
       "481                1532866  4.552200e+08          28285           341382   \n",
       "482                2572361  7.667179e+08          37887           781457   \n",
       "483               24061163  6.706041e+09         180731          6077265   \n",
       "484                8713787  2.392621e+09          95898          3410481   \n",
       "485                9291803  2.443455e+09          76896          5170144   \n",
       "486                5510874  1.488349e+09          79237          2464269   \n",
       "487                4234052  1.168309e+09          61606          1434583   \n",
       "488                2351319  6.359665e+08          39964          1048140   \n",
       "489                2972102  7.964706e+08          52992          1391563   \n",
       "490                2225529  5.949861e+08          51482          1075978   \n",
       "491                3520232  9.290673e+08          56601          2051103   \n",
       "492                2270319  5.965554e+08          48630           983657   \n",
       "493                3369566  8.978471e+08          49631          1103984   \n",
       "\n",
       "     % Dly Qt to Traded Qty  Month  Year        VWAP  Day_Perc_Change  \\\n",
       "0                     46.98      5  2017  371.050000         0.000000   \n",
       "1                     50.30      5  2017  374.563824         0.014823   \n",
       "2                     60.46      5  2017  382.513424         0.035453   \n",
       "3                     50.91      5  2017  381.374202        -0.028212   \n",
       "4                     50.24      5  2017  380.789461         0.000132   \n",
       "5                     44.31      5  2017  382.563073         0.023750   \n",
       "6                     53.51      5  2017  381.873975        -0.020879   \n",
       "7                     59.35      5  2017  379.649458        -0.028564   \n",
       "8                     83.06      5  2017  377.886925         0.012195   \n",
       "9                     41.11      5  2017  377.330112        -0.009505   \n",
       "10                    72.73      5  2017  377.581520         0.025409   \n",
       "11                    33.01      5  2017  377.372638        -0.018716   \n",
       "12                    62.55      5  2017  376.294942        -0.015178   \n",
       "13                    54.65      6  2017  376.292026         0.026323   \n",
       "14                    37.23      6  2017  376.237197        -0.004252   \n",
       "15                    52.50      6  2017  376.745888         0.020819   \n",
       "16                    71.36      6  2017  377.098740         0.001830   \n",
       "17                    50.47      6  2017  377.304805         0.000130   \n",
       "18                    30.94      6  2017  377.362601        -0.008742   \n",
       "19                    32.01      6  2017  377.524968         0.007371   \n",
       "20                    43.90      6  2017  377.755777         0.005488   \n",
       "21                    31.14      6  2017  377.978834        -0.001429   \n",
       "22                    62.64      6  2017  378.172776         0.004945   \n",
       "23                    50.71      6  2017  378.033877        -0.029267   \n",
       "24                    50.03      6  2017  377.902375         0.000800   \n",
       "25                    62.55      6  2017  377.855479         0.003866   \n",
       "26                    21.28      6  2017  377.839697         0.001461   \n",
       "27                    57.75      6  2017  377.617871        -0.014320   \n",
       "28                    53.14      6  2017  377.574241         0.008878   \n",
       "29                    45.52      6  2017  377.405683        -0.007600   \n",
       "..                      ...    ...   ...         ...              ...   \n",
       "464                   45.67      3  2019  341.215306         0.010708   \n",
       "465                   47.72      3  2019  341.189306         0.002846   \n",
       "466                   31.27      3  2019  341.159540        -0.011668   \n",
       "467                   36.14      4  2019  341.133834         0.002712   \n",
       "468                   37.23      4  2019  341.107228         0.002387   \n",
       "469                   43.13      4  2019  341.078414         0.007143   \n",
       "470                   45.98      4  2019  341.058381        -0.001891   \n",
       "471                   35.58      4  2019  341.043033         0.000474   \n",
       "472                   40.04      4  2019  341.027246        -0.002210   \n",
       "473                   34.93      4  2019  341.014972        -0.002847   \n",
       "474                   55.24      4  2019  340.992931         0.000317   \n",
       "475                   47.54      4  2019  340.970730        -0.006185   \n",
       "476                   42.07      4  2019  340.958246         0.004149   \n",
       "477                   33.37      4  2019  340.928677        -0.019704   \n",
       "478                   32.10      4  2019  340.893659         0.014589   \n",
       "479                   25.99      4  2019  340.848057        -0.018374   \n",
       "480                   21.00      4  2019  340.807841        -0.024740   \n",
       "481                   22.27      4  2019  340.764334        -0.018692   \n",
       "482                   30.38      4  2019  340.703185         0.025510   \n",
       "483                   25.26      4  2019  339.698077        -0.102156   \n",
       "484                   39.14      4  2019  339.352538         0.008127   \n",
       "485                   55.64      4  2019  338.931218        -0.037926   \n",
       "486                   44.72      5  2019  338.710431         0.031613   \n",
       "487                   33.88      5  2019  338.549597         0.011630   \n",
       "488                   44.58      5  2019  338.457662        -0.007847   \n",
       "489                   46.82      5  2019  338.335121        -0.014162   \n",
       "490                   48.35      5  2019  338.241949        -0.004851   \n",
       "491                   58.27      5  2019  338.095890         0.001500   \n",
       "492                   43.33      5  2019  337.995595        -0.018158   \n",
       "493                   32.76      5  2019  337.853496         0.012202   \n",
       "\n",
       "         Trend  \n",
       "0    Bear Drop  \n",
       "1    Bear Drop  \n",
       "2    Bear Drop  \n",
       "3    Bear Drop  \n",
       "4    Bear Drop  \n",
       "5    Bear Drop  \n",
       "6    Bear Drop  \n",
       "7    Bear Drop  \n",
       "8    Bear Drop  \n",
       "9    Bear Drop  \n",
       "10   Bear Drop  \n",
       "11   Bear Drop  \n",
       "12   Bear Drop  \n",
       "13   Bear Drop  \n",
       "14   Bear Drop  \n",
       "15   Bear Drop  \n",
       "16   Bear Drop  \n",
       "17   Bear Drop  \n",
       "18   Bear Drop  \n",
       "19   Bear Drop  \n",
       "20   Bear Drop  \n",
       "21   Bear Drop  \n",
       "22   Bear Drop  \n",
       "23   Bear Drop  \n",
       "24   Bear Drop  \n",
       "25   Bear Drop  \n",
       "26   Bear Drop  \n",
       "27   Bear Drop  \n",
       "28   Bear Drop  \n",
       "29   Bear Drop  \n",
       "..         ...  \n",
       "464  Bear Drop  \n",
       "465  Bear Drop  \n",
       "466  Bear Drop  \n",
       "467  Bear Drop  \n",
       "468  Bear Drop  \n",
       "469  Bear Drop  \n",
       "470  Bear Drop  \n",
       "471  Bear Drop  \n",
       "472  Bear Drop  \n",
       "473  Bear Drop  \n",
       "474  Bear Drop  \n",
       "475  Bear Drop  \n",
       "476  Bear Drop  \n",
       "477  Bear Drop  \n",
       "478  Bear Drop  \n",
       "479  Bear Drop  \n",
       "480  Bear Drop  \n",
       "481  Bear Drop  \n",
       "482  Bear Drop  \n",
       "483  Bear Drop  \n",
       "484  Bear Drop  \n",
       "485  Bear Drop  \n",
       "486  Bear Drop  \n",
       "487  Bear Drop  \n",
       "488  Bear Drop  \n",
       "489  Bear Drop  \n",
       "490  Bear Drop  \n",
       "491  Bear Drop  \n",
       "492  Bear Drop  \n",
       "493  Bear Drop  \n",
       "\n",
       "[494 rows x 21 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"week2.csv\")\n",
    "data['Date'] = data['Date'].astype(dtype = 'datetime64')\n",
    "data.set_index(['Date'],inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime as dt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(data.index,data['Close Price'])\n",
    "plt.ylabel('Close Price') #it provides label on y axis\n",
    "plt.xlabel('Date') #it provides label on x axis\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title('Closing Price on each day')#it provides title on the graph\n",
    "plt.grid(True,axis = 'both')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.stem(data.index,data['Day_Perc_Change'])\n",
    "plt.ylabel('Percentage Change') #it provides label on y axis\n",
    "plt.xlabel('Date') #it provides label on x axis\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title('Percentage Change in Price')#it provides title on the graph\n",
    "plt.grid(True,axis = 'both')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,(ax1,ax2) = plt.subplots(2,sharex=True)\n",
    "fig.suptitle('Vertically stacked subplots')#it provides title to the graph\n",
    "ax1.grid(True,axis='both')\n",
    "ax1.plot(data.index,data['Total Traded Quantity'])\n",
    "ax2.grid(True,axis='both')\n",
    "plt.title('Percentage change in Price')#it provides title to the graph\n",
    "ax2.stem(data.index,data['Day_Perc_Change'])\n",
    "ax2.plot(data.index,data['Total Traded Quantity'].pct_change(),color = 'black')\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show( )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Volume is greater than the daily percentage change.the relationship between volume and daily percentage change is directly proportional. if volume increases, the daily percentage change also increases.'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"Volume is greater than the daily percentage change.the relationship between volume and daily percentage change is directly proportional. if volume increases, the daily percentage change also increases.\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['Trend Occurence'] = np.ones(len(data))\n",
    "data2 = data[['Trend Occurence','Trend']].groupby('Trend').sum()/len(data)*100\n",
    "sizes = data2['Trend Occurence']\n",
    "labels = data2.index\n",
    "plt.figure()\n",
    "plt.pie(sizes,labels =labels,autopct='%1.2f%%',startangle=90)\n",
    "plt.axis('equal')\n",
    "plt.show()\n",
    "data.drop(['Trend Occurence'],axis =1,inplace = True)\n",
    "del(data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1,(ax2,ax3) = plt.subplots(2,sharex = True)\n",
    "fig1.suptitle(\"Mean and Median values of volume in each Trends\")\n",
    "ax2.grid(True , axis = 'both')\n",
    "ax3.grid(True , axis = 'both')\n",
    "data2 = data[['Trend','Total Traded Quantity']].groupby('Trend').mean()\n",
    "ax2.bar(data2.index,data2['Total Traded Quantity'],label = 'mean')\n",
    "data2 = data[['Trend','Total Traded Quantity']].groupby('Trend').median()\n",
    "ax3.bar(data2.index,data2['Total Traded Quantity'],color = 'red',label = \"median\")\n",
    "ax2.legend()\n",
    "ax3.legend()\n",
    "plt.xlabel(\"Trend\")\n",
    "ax2.set(ylabel = \"mean Values\")\n",
    "ax3.set(ylabel = \"median Values\")\n",
    "plt.show()\n",
    "del(data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.hist(data['Day_Perc_Change'],bins = 100)\n",
    "plt.title(\"Hidtogram of percentage distrubition\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('Small_Cap/IDFC.csv') #imported IDFC.CSV\n",
    "df1 = df1[df1.Series == 'EQ']\n",
    "df1['Date'] = df1['Date'].astype('datetime64')\n",
    "df1.set_index(['Date'],inplace = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv('Small_Cap/FORTIS.csv') #imported FORTIS.CSV\n",
    "df2 = df2[df2.Series == 'EQ']\n",
    "df2['Date'] = df2['Date'].astype('datetime64')\n",
    "df2.set_index(['Date'],inplace = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = pd.read_csv('Small_Cap/NCC.csv') #imported NCC.CSV\n",
    "df3 = df3[df3.Series == 'EQ']\n",
    "df3['Date'] = df3['Date'].astype('datetime64')\n",
    "df3.set_index(['Date'],inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = pd.read_csv('Small_Cap/PVR.csv') #imported PVR.CSV\n",
    "df4 = df4[df4.Series == 'EQ']\n",
    "df4['Date'] = df4['Date'].astype('datetime64')\n",
    "df4.set_index(['Date'],inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df5 = pd.read_csv('Small_Cap/RCOM.csv') #imported RCOM.CSV\n",
    "df5 = df5[df5.Series == 'EQ']\n",
    "df5['Date'] = df5['Date'].astype('datetime64')\n",
    "df5.set_index(['Date'],inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "Close_price_df = pd.DataFrame({'IDFC':df1['Close Price'],'FORTIS':df2['Close Price'],'NCC':df3['Close Price'],'PVR':df4['Close Price'],'RCOM':df5['Close Price']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "Percent_Close_price_df = Close_price_df.pct_change()*100\n",
    "Percent_Close_price_df.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a99f5078d0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = Percent_Close_price_df.corr()\n",
    "mask = np.zeros_like(corr,dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)]=True\n",
    "f,ax = plt.subplots()\n",
    "cmap = sns.diverging_palette(220,10,as_cmap=True)\n",
    "sns.heatmap(corr,mask=mask,cmap=cmap,vmax=.3,center=0,square=True,linewidths=.5,cbar_kws={\"shrink\":.5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VFRVOm2g0Go2mH9HnpgkYmQQWoxK3viSEGIpKGyNRBQOHSymvjXWMmTNnSu2D02gObTo6OigrK6O1NZGE9BqA7OxsRo0ahdcbnoxfCLFKSjkzTc1KOX3GRAlgJPh8EXhGSvkSgJTygG39I6gcjxqNpp9TVlZGQUEBpaWlCBFP4n0NqBqgVVVVlJWVMW7cuHQ3p0fpMyZKoZ7Qx4CNUso/2pYPt212MSpZqEaj6ee0trYyaNAgLdwSRAjBoEGD+oXm25c0uBOAbwCfCyE+M5bdhqrNNQ1lotyJqhiu0XTi87I6hhZmMaQgO91N0fQSWrglR3+5bn1GwEkpP8K5wF/MOW8aDUBjm5+vPrSMi44dwa8vmZLu5mg0mj5AnzFRajTd4b2NB2jpCLD1QGO6m6LpJ8ybN4+33norbNk999zDjTfeGPcxzj33XGpra1PdNI2BFnCaQ4J/r9kHwBeVTWluiaa/cMUVV/Dcc8+FLXvuuee44oorutxXSkkwGOSNN96gqKiop5rY79ECTpPx1LV0sHhLBQVZHqqa2qlr7kh3kzT9gK985Su89tprtLWp4t87d+5k3759TJs2jdNOO43p06czefJkXnnlFWv9hAkTuPHGG5k+fTp79uyhtLSUykpVePzvf/87s2fPZtq0adxwww0EAgEA8vPz+b//+z+mTp3KnDlzOHBABZYfOHCAiy++mKlTpzJ16lSWLl0a8zj9kT7jg9NokqWsppmOgOTLU4fx4uoydlQ2cuwYx3wAmkOUn/97PRv21af0mBNHDOBnF0yKun7QoEHMnj2bN998kwsvvJDnnnuOr33ta+Tk5PDyyy8zYMAAKisrmTNnDl/+8pcB2Lx5M0888QT3339/2LE2btzI888/z5IlS/B6vdx4440888wzXH311TQ1NTFnzhx++ctf8sMf/pBHHnmEn/zkJ9x8882cfPLJvPzyywQCARobG2Mepz+iBZwm4zFzFRw5NB+AHRVNWsBpegXTTGkKuMcffxwpJbfddhsffPABLpeLvXv3WlrX2LFjmTNnTqfjvPfee6xatYpZs2YB0NLSwpAhQwDw+Xycf/75AMyYMYN33lEpet9//32eeuopANxuN4WFhTz99NNRj9Mf0QJOk/EEDQk3vFBND6hqaktnczRpIJam1ZNcdNFFfO9732P16tW0tLQwffp0/va3v1FRUcGqVavwer2UlpZac87y8vIcjyOl5JprruHXv/51p3Ver9cK63e73fj9/qjtiXWc/oj2wWkynqChweV43QC0dQTT2BpNfyI/P5958+Zx7bXXWsEldXV1DBkyBK/Xy8KFC9m1q+sKNKeddhovvPACBw8eBKC6urrL/U477TQeeOABAAKBAPX19Ukd51BGCzhNxmNqcF6PC7dL0Orvv051Te9zxRVXsGbNGi6//HIAvv71r7Ny5UpmzpzJM888w9FHH93lMSZOnMhdd93FmWeeyZQpUzjjjDMoLy+Puc+9997LwoULmTx5MjNmzGD9+vVJHedQps8lW04FOtly/2LVrhoufWApT147mxv/vorLZ4/h9vMnprtZmh5m48aNTJgwId3NyFicrt+hlmxZa3CajMccpLkEZHndtHZoDU6j0WgBpzkEMH1wLiHI9rho1T44jUaDFnCaQwDTBycEZHvd2gen0WgALeA0hwCWgEOQ5XXTpk2UGo0GLeA0hwDSMlFCtlebKDUajUILOE3GYwk4lyDb46ZNmyg1Gg1awGkOAYK2KMrmdj+f7KyhrKY5za3S9BdefvllhBBs2rQp3U3RRKAFnCbjCQWZCNaU1QFw9390Z6PpHRYsWMCJJ57YqXROMvTnzP89gRZwmozHNFEK4GcXqAner60tZ9n2qvQ1StMvaGxsZMmSJTz22GOWgPva177GG2+8YW0zf/58XnzxRQKBAD/4wQ+YNWsWU6ZM4aGHHgJg0aJFnHLKKVx55ZVMnjwZUDkuZ8yYwaRJk3j44YetYz322GOMHz+eefPm8e1vf5ubbroJgIqKCi699FJmzZrFrFmzWLJkSW9dgj6NTrasyXhCJkrBN08Yx8yxxVxw30dc8chydt59Xppbp+kVbr0VPvsstcecNg3uuSfmJv/61784++yzGT9+PMXFxaxevZrLL7+c559/nnPPPZf29nbee+89HnjgAR577DEKCwv55JNPaGtr44QTTuDMM88EYMWKFaxbt45x48YB8Pjjj1NcXExLSwuzZs3i0ksvpa2tjTvvvJPVq1dTUFDAqaeeytSpUwG45ZZb+O53v8uJJ57I7t27Oeuss9i4cWNqr0cGogWcJuORtoneAJNHFeLzuGj362hKTc+yYMECbr31VgAuv/xyFixYwJ133snNN99MW1sbb775JieddBI5OTm8/fbbrF27lhdeeAFQSZm3bt2Kz+dj9uzZlnAD+POf/8zLL78MwJ49e9i6dSv79+/n5JNPpri4GIDLLruMLVu2APDuu++yYcMGa//6+noaGhooKCjolevQV9ECTpPx2Cd6m9xw0mH8deG2NLVI0+t0oWn1BFVVVbz//vusW7cOIQSBQAAhBL/97W+ZN28eb731Fs8//7xVZUBKyV/+8hfOOuussOMsWrQorIzOokWLePfdd1m2bBm5ubnMmzeP1tZWYuUNDgaDLFu2jJycnJ75sRmK9sFpMp5ghAYHKuAkeOjlEdf0IV544QWuvvpqdu3axc6dO9mzZw/jxo3jo48+4vLLL+eJJ57gww8/tATaWWedxQMPPEBHRwcAW7ZsoampqdNx6+rqGDhwILm5uWzatInly5cDMHv2bBYvXkxNTQ1+v58XX3zR2ufMM8/kvvvus75/lmpzbYbSZwScEGK0EGKhEGKjEGK9EOIWY3mxEOIdIcRW478u1awJw0q2bHuaRcQ6jSbVLFiwgIsvvjhs2aWXXsqzzz7LmWeeyQcffMDpp5+Oz+cD4LrrrmPixIlMnz6dY445hhtuuMGxeOnZZ5+N3+9nypQp3H777VYF8JEjR3Lbbbdx3HHHcfrppzNx4kQKCwsBZdJcuXIlU6ZMYeLEiTz44IM9/Oszgz5TLkcIMRwYLqVcLYQoAFYBFwHzgWop5d1CiB8BA6WU/xvrWLpcTv/i9bXlfOfZ1bx160kcNUz5HO59dyt/encL2391Lm6X6OIImkykP5bLaWxsJD8/H7/fz8UXX8y1117bScjGiy6X04tIKcullKuNzw3ARmAkcCHwpLHZkyihp9FY2Cd6m5if+8oATqNJBXfccQfTpk3jmGOOYdy4cVx0ke4OY9Eng0yEEKXAscDHwFApZTkoISiEGJLGpmn6IKYIEzYfnMuQcNoPpzmU+P3vf5/uJmQUfUaDMxFC5AMvArdKKesT2O96IcRKIcTKioqKnmugps8hHTQ4U9YFtQZ3SKM19OToL9etTwk4IYQXJdyekVK+ZCw+YPjnTD/dQad9pZQPSylnSilnDh48uHcarOkT2Cd6m5if+8l73C/Jzs6mqqqq33TWqUJKSVVVFdnZ2eluSo/TZ0yUQtmXHgM2Sin/aFv1KnANcLfx/5U0NE/Thwka87mFgw9Oa3CHLqNGjaKsrAxtsUmc7OxsRo0ale5m9Dh9RsABJwDfAD4XQpiTOG5DCbZ/CCG+BewGLktT+zR9lFganBZwhy5erzcs+4dGE0mfEXBSyo8ITV+K5LTebIsmswgFmYSWCaGDTDSa/k6f8sFpNMkgHTW48HUajab/oQWcJuNxStXl0hqcRtPv0QJOk/E4JVvWQSYajUYLOE3GY2ppzj44LeA0mv6KFnCazEfPg9NoNA5oAafJeJx9cOY6LeE0mv6KFnCajMc52bIOMtFo+jtawGkynpAPzl7w1FinJZxG02/RAk6T8UjHKMrU+eAu/OsSfvPmpu4fSKPR9CpawGkyHsdUXa7wdd1hzZ5aHli0vdvH0Wg0vYsWcJqMR1pBJqFlqcpFac+Esre2pVvH0mg0vYsWcJqMxymKMlW5KNv8QevzVx5YSlVjW/cOqNFoeg0t4DQZT6xMJt3NRdnU5gdg3lGDKa9r5bM9td06nkaj6T20gNNkPFaQCanPRdncHgBgTHGuca7uHU+j0fQeWsBpMp6gow/OXNdNDa5daXD5WZ6UHE+j0fQeWsBpMh4Z0wfXXROl0uDys00B163DaTSaXkQLuG6yfl8ddS0d6W5Gv8bJB2d+7K7CZQaVFGSZtYG1hNNoMgUt4LrJFQ8v5/5F29LdjH6NlBIhwjOZpGqawM//vQGAATle43jdOpxGo+lFtIDrJs3tAbYeaEx3M/o1QRlungT7RO/uHbu2uZ0cr5ujhw0wjqclnEaTKWgB100CUrKjQgu4dBKUEhGxTFipupIXSJWNbTS1B/jBWUfhNt4ULd80msxBC7huIKVESthT00K7bUKwpndx1OBSME3gjc/LAZgxdiCmV09rcBpN5qAFXDcwO89AULKnpjm9jenHSCQR8q3bE72llDy5dCdTRhUyZVSh7XjdaKhGo+lV+oyAE0I8LoQ4KIRYZ1t2hxBirxDiM+Pv3HS2MRL7aH5HRVMaW9K/kT2gwX20rZLtFU3Mn1uKECJlQSsajab36DMCDvgbcLbD8j9JKacZf2/0cptiYu/svqjUfrh0EQzKsEneYKsHl6RAenLpTkryfZw3ZTiQ2vI7Go2md+gzAk5K+QFQne52JELQ5nb7olJrcOkiKMOnCED3pgnsqW7mvU0HuWL2GLI8bqD7AlOj0fQ+fUbAxeAmIcRaw4Q5MN2NsWPv7LZrE2XaCEonH1zyGteWAw1ICaccPcRaJrQPTqPJOPq6gHsAOByYBpQDf4i2oRDieiHESiHEyoqKil5pnF3ArfiimocW66KY6aKzD07931hezx/f2cK2g/GbkAOG487nDr0e2gen0WQefVrASSkPSCkDUsog8AgwO8a2D0spZ0opZw4ePLhX2meaKM00Tr/+zyYajfIqmt4jKJ18cGrBXa9v5M/vbeXZj3cndDyIqBBuaoTdbKtGo+k9+rSAE0IMt329GFgXbdt0YHaEQwuzrWWNrVrA9TZKwDlrcCbldfFX4w4YAxe37SDaB6fRZB6erjfpHYQQC4B5QIkQogz4GTBPCDENNXDeCdyQtgY6EDA6u68fN4Yl26p4d+MBWjoCaW5V/yNWkAnAwFwv++pa4z5ewNLgQstCAi75dmo0mt6lzwg4KeUVDosf6/WGJIA5mve6XVw6fSTvbjxAqxZwvY6MEWQCMGZQHuW18WtwQUOKuVydTZQ6ykSjyRz6tImyr2OvQ5btVeHkWsD1Pv6AxB0h4exfRxRmU93UHndWEzPIxO3gg9ManEaTOWgB1w2sjtAFWV51KVs7dE7K3mZ/fStDB2SFLbNrcEMKsvAHZdwBQKZmHuaDi1in0Wj6PlrAdYNQoU1BTi9qcPe+u5Wf/3t9tzLlH0rsrW1hRFFO2DKX7ckeMkAFAdU2x1eY1oqidDBRag1Oo8kctIDrBukyUf7p3S08sWQnO6t0gmcpJftqWxgZKeBsGtzgAqXdxVt53YqitB1DWOVytITTaDIFLeC6gd1EaQq4D7ZW8vGOql45/8H6+CMDD1Xa/EFaO4IU5/vCltsjIIcYAq6muT2uY1pRlLa3wzyclm8aTeagBVw3sE8IzjZ8cAtW7OZXb2zslfPH22H3JFsONFD6o9f5aGtlWs7vFBAC4dMGBlsCLk4TZcwgEy3hNJpMQQu4buDkgwM42NDWK+ePt8PuSUxt9Y115Wk5v1PWkcjvIwqV+bIyzvsS0sy1D06jyWS0gOsGZmfntvngACob2ywtoCepbkq/BpduzMvsckUKuNDnolwvPo+LA3GadO0DFxNrGpxO1qXRZAxawHWDoC3jRZbHxekThjCrdCAdARl3QEPC57QJzto+YKJMN9Ih64j6bhdOgqEDsuIWcE4anJ7nrdFkHlrAdYOALeOFEIJHr5nFN44vBZQW1xPYU4FVN6XfRGn29yLmVj1H0BbJGouhBdm8uX4/J/12IR9siV1twq6Zm1gmSm2j1GgyhpQKOCFErhDidiHEI8b3I4UQ56fyHH0J6dC5mr64Nn/PTPhubg8JuL6gwfkD6e3wg9E0uIgF131pHGcnAQupAAAgAElEQVRMHMbu6mZW766J75i2t0NXE9BoMo9Ua3BPAG3A8cb3MuCuFJ+jz2BpcLa+1Cwh5u+hkX6LTcBV9wEBl+7k0k7+MgCvO/z72ccM5y9XHIvXLWjvYvDhnKor/Hwajabvk2oBd7iU8rdAB4CUsoX0Wa96HKeMF25j2B/oKQFnCBS3S1DTB4JMmttV+qt0aXJmTb5IE+Xg/CyHrSHL4+5Su3b2wekoSo0m00h1NYF2IUQOhiVHCHE4SqM7JHHy/5ij/mgCrrUjwB/f2cLogTmWvy4RTIEysignrdMENu2vp90fZN3eetWuNGly0UyUkRqdic/jos0fu61BozpB5DGE0JlMNJpMItUC7mfAm8BoIcQzwAnA/BSfo8/g1Lmao34nAecPBLnq0Y9ZuUv5gC48diQDsr0JndM0UY4oymZ3dTP+QBCPu3djhfZUN3P2PR+GLWtOUyVzJy3a5JXvnEB9a/ggIMvjoq2LhNiBYOfqBKAGMlq+aTSZQ0oFnJTyHSHEamAOyjR5i5QyPSkuegGnjBexBNzOqmZW7qph1MAcympaVEeb3WmzmJhBJiOLcoFq6lo6GBTFHNdTmEmLjx1TxKe7awFoSJOAcwr0MZk6uqjTsiyPi/ZAFwLOoUK4Oof2wWk0mUSqoyinA2OBcmAfMEYIcbgQos8UVk0lpgwTTgLOoSM0J2ZPGVVo7J94Z2maAkcWKcl438JtCR+ju7QaJr7/Ovlwa1l9D83764poJspo+OLQ4IJBGRZBaSIQ2gen0WQQqbZt3Q8sBx4GHgGWAc8BW4QQZ6b4XGnHqW5YSIPr3ImaAq7E0LiSEXAtpg9uoEo/9cSSnZZfrrcwBURxno8vfn0uX505KmYpGiklu6qaeqQt8c6DM1FBJiEf3N7alk4VIIKyc25L0D44jSbTSLWA2wkcK6WcKaWcARwLrANOB36b4nOlHSftwWMJuM7bRwq4ZCItQz64UHmY1btqEz5OdzAFRLbHjRCColwftS3RIzrfXLefk3+3iH+u3MM3HvuYPdWxy/w0tHbwyc7quNoSmiYQX9vtJsptBxs54e73uenZ1WHbBILS0afnEkLPg9NoMohUC7ijpZTrzS9Syg0ogbcjxefpE5gCSjhkvHDW4FRAqaXBJTEX3DRRDhsQct71VNaUaJhVy80q5oU5Xlo7glFr4Zkpsn7wwlo+3FrJ08t3xTz+jc+s5rIHl9HQ2rXZM2jNRYxPwtlNlGU1StAu3xEuTINShmnlJkLoTCYaTSaRagG3WQjxgBDiZOPvfpR5MgtjbtyhhGmtsneGHnd0Da62uYNcn5scnzFXLikTZQAhYFxJHseNKwZ6P+myqcFleUICDpz9cG3+AHf8e0PYsvys2C7ZjeVq6kFrF74ysKXVitMJl+VxWfPgzHyhBdnh7YkVRanlm0aTOaRawM0HtgG3At8FdhjLOoBTUnyutONkojQ1Cb+DetbY5ic/y9Ot2mLN7QFyvW48bhfPfnsOQvR+yi5Lg/OotGRFuUrA1ToIOLt29I8bVIKbrjROVxdzCe0kE2RiZjIx/YaRAjconU2UQuhqAhpNJpHqaQItwB+Mv0gaY+0rhHgcOB84KKU8xlhWDDwPlKL8e1+VUsZOJNiLBBzMY6Ym4SS8Ogm4JNSB5vYAOT6Pda6iHG+vp+yyfHCGibIoR1XTdgo0sWtHs8cVM35oPvvrYmf1N69hRxfh/BA9VVc07EEmloBLQIPTMSYaTeaQ6mkCJwgh3hFCbBFC7DD/4tz9b8DZEct+BLwnpTwSeM/43mdwiuAzg0ycUlc1tfnJy/LEnErQFeV1LQwdEJr3NjDPR00vVxUwTXymBmeaKJ1KBEVGHeZneWjqIurTvD6xMo6s2lXDYx99EXMenBNZHpelgUariB4IOps8hZ4Hp9FkFKk2UT4G/BE4EZhl++sSKeUHQGTo3IXAk8bnJ4GLUtPM1GDVIrNnnY+iwdW1dLBwcwV5WW6bBpf4OXdWNlFakmd9L8jy0NjLk6zNYBKf4YOzTJQOAqPdH34dPC5Xl6bHkIAL8s+Ve5h517t8GlEB4NIHlnLnaxssLS9eE+WQAVlUNrbR7g9SZfguI9tjpuqKRPngtIDTaDKFVAu4Oinlf6SUB6WUVeZfN443VEpZDmD8H5KaZqYGUwNzO2lwEZ3m/yz4FICD9W1JZab/eEcV7244wJ6aFkoH5YbO53Y5+vt6kjZ/EK9bWIKoMDe6BmcKoC9PHQGowUBXzTWP2+4P8oMX1lLZ2MZPX1nvuO2BeuXPi1eDGz+0AH9Q8oe3N7P1QAPQWdsOBJ2jKF1CFzzVaDKJVGcYWSiE+B3wErYky1LK1dF3SQ1CiOuB6wHGjBnT06cDnDOZRPOvmUU2a1s6YqbzcqKsppmvPbwcgPFD87liduj3ed2CDn/v9rptHUGyDfMkQL7Pg0s4CzgzoOO6L40DlPDqyrdmDhjste+GFzrnNDND/eOdBzdllErf9dAHO6x9nDQ454neOopSo8kkUi3gjjP+z7Qtk8CpSR7vgBBiuJSyXAgxHDgYbUMp5cOoDCrMnDmzV7qh0Bys0LJoGlyuz01ze4DqpnbLjBmvD86c3D2uJI9XbzqRbG9IuHjdLhr9vZzJxB+wzJOgzLKFOV7W7a3j648u549fncZQY56eKcy8RkJolxBxmyjt0ZYlBSG/o33/XVXNYft0xbiSPN793sn8ffkuGlr9rN9X1+leRY2iRGcy0WgyiVRHUaZ6KsCrwDXA3cb/V1J8/G7hlKrLFUU7K8zx0tweYObYgZZ2EK2zDEZk0jA74B+edVSYcAMlOOKJNkwlTia8olwfCzcrLXX5jiounDYSwMoaYgpEt6trP5Y5l/BgfUjA2fNH2ousrt9XB8RvogQ4Ykg+d3x5EgA3L/iUz/fWha2PPQ9OCziNJlNIeRJkIcR5wCRsefKllL+IY78FwDygRAhRhiq9czfwDyHEt4DdwGWpbm93iBVFGSng2v1BZo4dyGPzZ/F5WZ2xTedj3v2fTTz78S6W/fg08oz5WdZ0BAetwusWvV5s1EnADcjxhq03MU2UPkODc8ejwRnXs8KmwTW2hcyf9tyba41rmYB8Cz+XS3TyYQaCztda++A0mswipQJOCPEgkIua1P0o8BVgRTz7SimviLLqtNS0LvWYmpO9c402BaC1I8CUUUUU5nitqEunjv7RD3fgD0pW7KzmlKNUTE3QIZjFxOPuuvxLqgnKzhpTkU3A2X1xHYbwtUyULmcBN+uX7zJ7XDF/vXK6dQ0rGuwCLiTUWttDWqEpQBPR4Oy4XYJAoLOJ0qnEnvbBaTSZRaqjKOdKKa8GaqSUPweOB0an+Bw9RnldC2f+aTELVuzuclspJT9+6XMgSjWBiE6z1R+0JkbHMlGaE6ObbB26KRCc/Ey+NJgolY8qfFmOzXRa3xJqe0ekiTKKma+ioY3X15arbYzfudOoQDCmOJeG1tAxTRPl7NJia1myAs7jEo6DEY9DvRxdTUCjySxSLeBajP/NQogRqBRd41J8jh5j0/4Gthxo5McvfY6/C6Gxfl+99Xlgrs/6bAove6fZEQgSCErLfxYryMTUEOwCLlbV6rSZKCMEytaDDdZnuwZnalhew6/mdtDgIgW0KeA+3V3LyKIcJo8qpNFBwM0sHWgti3ceXCSR7QkEJZ/vrWPC8AGdttXVBDSazCLVAu41IUQR8DtgNSq91nMpPkePYRcqS7bHnr5nms9evnFuWOCHyyUQItz8aE6MNjU4p1yLq3bVcKC+1RJmjW2hQAqz/49mouz1IBOHKMPTJwwF1KTvMAEXGUXp6mzmq2oMnyBu11R/dM7RDMj2hFUMN31w02wVu+NN1RWJxyXCoig37a+nodVvJbK2oyt6azSZRaqjKO80Pr4ohHgNyJZS1sXapy9hF3AvrS7j5PGDo25rdrhOmfEjAynM1FCmIIzMV7l0WyVXPvpx1LaEgkw6t0OZKHu30w06aHA/PPtovnPqEVzx8HKrPA7YTJRWkEln32Nk8mVzjt0DX5/OOZOHs7asNkyDMwcMRXbNOUkVzhXhg1vxhUqmM9tRwGkfnEaTSaRag0MIMVcIcSXwNeBCIcTVqT5HT2FqTWdNGsr7G6NOuQNCAigyUS8YZi/poMEZHbcpHMzgvTfX7yfP5+bcycNCx2/vbKJ01ODimDidapyiKN0uwYBsL9PHDGT17hqrTe3+IB6XsDQ+pyATe7SkPxAkICVTRxVyzuThAORneWnpCFhm4xYjyCTXZ9OckzRRRvrgVnxRzaiBOWEFZS36sAa3dHslm/c3dL2hRtOPSHWy5aeB3xOei3JmzJ36EKbQmjB8AA1t/qgFPAFLo3DU4CK0Aqt+mmGitDJoWOZIPwPzfFw+K5ShxK7BmSY0c36YHa8nHUEm0YM65h4+iOb2AGvLVJXxjkDQMk+Cc5BJpS1asr7V30mA5luBN+o6miZKe2BL8lGULuv6SilZ8UU1x40b5LitS9XL6XPUtXRw5SMfc8n9S9LdlKQ42NDKMx/HLoKr0SRDqufBzQQmygwNNWtq8+PzuKxq2VVN7Yx0GskTClvP88WjwUUxURoda9Do0KeNCfmUmmw+uFhVq72GiVJKmbQfKlGcoihNjjtMCYdl26uYMbaYjoAMy3riFGQSNt+t1Y8/IMOiGAuMQUR9aweFuV7eWn8AwJonCMnPg/PY2rO9opGqpnZH/xv0PR9cVWMbVz22wioQm6yQTzc3/n01K3fVcPL4wYwamNv1Dl1QVtPMql01nD9lRNKma82hQapNlOuAYV1u1Ucx67UV5ynfTnVj9DprjW1+8nxux8jGyE48FGQS6YNT6/2GgBuQ7WXn3edx9LCCuKcJeKOkButJomX6ACjO8zFh+ACWGkE6+2pbGJQX8pW5HDKZVDaErnNDW0dUDc4cVGwsr2fG2IHWfYLkO3fTZCql5NPdSuucYYvOtCPoW5lM/rNuPxvL65k/txQgbIDU12nzB1i1S1WI2G/4bM2I2+4gpeQ7z6zmluc+47W1+7p9PE1mkxIBJ4T4txDiVaAE2CCEeEsI8ar5l4pz9AaqXpubQfmq46xqcq48vb+uld3VzY7+NwjXCiBUPy3bY0ZRquWmlheZ3DcvomaauZ2jBmccszfNlNFyNZrMLh3I0u1VLN1eyfp99UwaWWitc8pkUhmpwQWDYebYgggB19zuZ2JEGH935sGp3xSa3jDYlvfSjqoHl9RpeoQD9a24BNx+/kSOG1dsPWeZwC9f38ilDyxlR0WjlR3Gnlw7WRZtqWCNkd1mY7n2SfZ3UmWifBUYCnwYsfxkYG+KztHjCCEozvVRnKc6uOomZw3u4vuXUF7X6jhXCoz0T4HoGpzZGb+0uowzJgzFHwjXWHJ9buptUYPBGBqc2UH3ZiRlLA0OQgLiykdUZOg1c8da65xMlLuqmsg36to1tikfnF1gmX5O0+/Z1BYgNys8J2d35sEB+INB6z7lROT7DJ2j+xW9A0HJvtoWRhd33xS3t6aFwQVZuF0Cn8cVNhm+r7PBmEdaabOSpKL9j3ywg1EDc3AJwS4jUYCm/5IqE+WFwKtSysX2P+AN+liR0lj86WvTeOWmEztpDHYCQUl5XSvnTxnOfVce63icvIgipKYPLscXbqJctLmCp5btNFJDhXfozW2dNTjHTCZp0OACwdganD0vJcAxI0IaXGSovT8QZNP+Bsvv1djmxx+UluCGkAbX0Oan3R+kPRAkP8L3Gas9sbDnDm3tUBGfXqc8XahpGtsONrBw80GaughCisZP/vU5X/rtQqoana0D8bKzsomXPt1r1cPL8rgtDa4jELTKCPVVTA293R+0zL5NKSjcW93UzsThAzhySD7bDjZ2+3iazCZVAq5USrk2cqGUciVQmqJz9BqWxuDwwjW0KjPW9DEDOXxwvuP+A3N91La08+KqMq569GMrW705TcCunby94UCnDj0vy+M8Dy5KkAl0LtrZk0Srl2YyIDtcwIWZKF3h8+C+qGyizR+05p01OEVRZqnjNbb6rQjKvIjo1e7kogTlw2zpCHSq1mDHH5DsrGrmm098wqSfvcW83y1K6Fxt/gALVuwBsPxPybLHEGDmc5PlcdFuROs+s3wXJ/5mIUu3VXbrHD2J+dw2tHZYWnEqKtObz86xY4rYerDRscq8pv+QKgHnXI1S4RyG2IfJ8rjwuATvbDhgVX02qW1WAq4o1+u0q1qX42VPdQvf/+caPtpWyYOLtwO2TCa2znv17hr217WGLcvzucNedqeyPCbmBOpktAl/IJhUpxKUzpPOTQbkhAufQptG57JFmLb7g1Y1gEgBZ/fBhYJMOqz2Rk7P6K6JMhiHgIs0oe2vb03ouv97Tbn1+S/vb0uwpeGYQuFv35wNKE1+e0UTZTXN7KhUprnXPy8P22fLgQbO+ONilnWRpac3MJ/bupYOpDH3oiGlAk4FCm2wpdTT9D9SJeA+EUJ8O3KhUeZmVYrO0WsIIcjP9vDp7lrO+NMHYetqjUCEwpwYAi7Xx+7qziaiLG/4RG9QHdWm/Q2dNbj2gJXY19TOPA69eGSEYbws3HSQI/7vP3zpN+9T19y5EncsIn1kkeTazIeRlbjdQlg+xfE/+Q/f/+cafB4Xx4wsZHhhNm9v2G9ElYYezVyvGyGUgDGnT3T2wXXPRDn/iU9YubOaHF/0V+LBq2Zw6fRRYcsSMYO9uW4/Y4pzuWT6yLDcnclgRhyagwnz9z+4eLsldCPr3D23Yg9bDzayYMVu/rpwG/e9v7VbbegOpga3pqzWer5TYaI0I5LN6T376lq72ENzKJMqAXcr8E0hxCIhxB+Mv8XAdcAtKTpHr+KUTR5CkXaxNDiz0zl6WAFjbMEEIQ0utK2ZhNgVEUUZCErLpxIr2bI5RyxRB/3q3cpEVtPcwf2LEtMmIn2G0Rg7KJc3bz0pbFnkHEGAo4YW4HW7uPX0I/l0dy1fVDaFCXOXS5Cf5VECLoqJMvl6cOpmfLanli0HGqMGmABMHlXIry+ZHNa2pdvjNwM2tHYwvDCb0kF5tHYE6QgEw2rbJUJkpXQzmcDasjpqjAHLxvJ6azlAjWGuW7ajit+9tZnfv70lqXOnAlNrW7BijzVo3FvTEmuXuDA1uGHGwOofK/fwu7c2dfu4mswkJQJOSnlASjkX+DkqwfJO4OdSyuOllPtTcY7epr7FWasxBVykn8nOiEI1epw/t9QSakKEzDJ2YVaSryIOw0xyWeElc2IlWy4w2pGoBrenupmRRTlcOn0UTyzdycGG+Ee6XUVRThoxgMEFWfzm0imdNF0zEtHuh5swvACAS6ePYvxQ5deMFKAFRuBOU1QTZXISLjI4J5aJEpQpsLQkz/r+2zc3x11Cp7k9QK7PbbV9/hMrmPjTt5IKEIqslG4GMq0tq+OdDWoifEdAsqm8gaeW7WR/XStVRlSwvc5eurBPCTCfhQ3l3TcnBgx/drbXTXGejxVfVPPXhdu7fVxNZpLSid5SyoVSyr8Yf++n8ti9jb2IqH0U3BYR8u/EVXPG8upNJ3D57DFWB5TtcVuZRuzCwRQA9g7azLFomuOseXAOd8vun4qX6qZ2/vXZPkYX53DB1OG0+4PscTCpRqOrKMqCbC+f/N/pzDmsc8orU3DZ576ZeR89bhePXTOLb55QytePGxO2X362h4bWDkvA2fNQ2o+bKOYAxNTKuhJwAEcYwUVCKJOYvf5dLJrb/eT6PNY9W7JN+cIakwiPj6yUbn9G7by0uoyfvrKem5/7lOqmNmsAYdJVWaieork9wAlHDOKS6SMBGFeSx4Z99d1uT8BmXThr0lBreYYmV9J0k5QnWz5UMDUrgAN1tmTAMfJCmuT43EwZpbJKZBmRk2ZHCuGmRrND9bgcNDjDfGXNg3PU4MLniMWDGXzwpSMHW+1LZJJwV1GUsTA7H3vFgQKbNjy6OJefXTDJChIwGVKQzYH6Nkvom9fIvGzJmigvmT6Kt797EjedegRAXHOnjjSExDnHqKQ9ZbXxDQ5MDW5ARIKApiTMlJGV0ts6wu/fvZdPY1CejyeXqRyPWw40UN3Ybj2XJr1dDd6kqU0J+++feRTnTR7OtSeU0tIRYPOB7vkm7RG4v75kCj846yggsee7J6lqbGPVrmrHqvaa1KMFXBReuekE7rzoGAD21YV8A+YIM5qPLpIsU4OzaQZ2bcNc744IMgG7iTJ6FGW+lacx/k7ywy0VjCzK4cZ5h+PzhOYjxUtQdqM8jSGJtleEgjMKomSEsTOyKIfP9tTygBGRal4j8z4ka6L0ul2MH1rAN+eOA+LU4IYoAXfUUDXRf1+ts3m3trk97LqGTJThZtuWJDJ4hHxw6ndHanAXThvJYYNDptS6lg721bVSkp9laX3QWTD2FhUNbQwuyGJkUQ5//fp0TjJKU322p7Zbx400n5s+1WSucSpZW1bLeX/+kBl3vculDyxj0ebY1Uo0qUELuCiMLMph7uHKxFZuE3ChkXN8HarPQcDZZUNWRH5KgDwjQtD0q8UKMsnyuPC6Rdw+uI5AkGXbqzhpfAlCCHxuda6EBFxQdiOoQ/1fvSvUkUVqNE40GlqOGbVoJrk2xxndTTRcmOvltf85kaevPa7LbU84ooTTJwyxyhvtdZhUfbC+lXm/X8Sdr22wNPCW9gC5WZ5OUxqakuh8LROl8Xx5jAt71NACzp40LGwdhKYVjCvJDYtATYdm0xEIUtXUzhBbSrQxxbkU5/n4bHcKBJw9AtcwZbckMY0mlfzxnS18UdnEFbOV6T2yyK+mZ0h1NYFDCjNYxD5C9xtF3DxRsl1EYmpoWbbOxt4Zx9bgDB9cDBOlEIKCbG/cJso1e2ppaPPzpSPViDmUCSV+k0kgzihKJ8zf/ume0ETnyIhIJ2465QheX1tuHCNk8jWvSSqSxh9jm5Aei5L8LB69ZhZSSrI8LvbWdo7++/lrG6ht7uDp5bsYPzSf8rpW2gNBcr1uK2P+ZTNG8c9VZUlFUkZWSr/38mn8c2UZt55+pOXrdcrIctjgfPJ8Hms+ZzTfXU+yo0KZgYcUhKaQCCGYNrqIT7upwUXmMc3pIwJuf10rcw8fxA/POooFK3YnZZbWJI7W4GKQ43NTlOtlX21nDc5pTpoTIR+cs4kyVGEgdCtM7cR8CfwxTJSAEUIfX5DJ8h0qsMHUTk0B1x6IvwPoKooyFuZvWLc3FDEXLTWWnQnDB1BiJMHOy/KEAnbSWA5FCDXfKlLAvbCqzBLGoCIb71+kTKvtgSBjBuWy6c6zuWqOytHZ3Ja8idI0N44amMt3zxgfVjLJNN+W5GcxdbTyvU0YPoBTjx5ibZOKDP7xEghK/mfBp5x1j5pbOnRAeFLraaOL2Haw0YpUToZgMHwA2VdMlJWN7QwuyLIEbioSS2u6JiM0OCHETqABCAB+KWWvFVEdXpjD9opGq96aP8K53xUhE2UXGpytnzb9apv3N3DqHxZZI95YAi5eE2VNcwe5PjdFub6w9iVqokw296NjyZ84zb1mh22vwRdZeqi3GTkwh702DX9vbQs/fGENhw3O464Lj+HKRz9miK0jP2jkjsz2ui3zWXMS2kVHILxSuhOmfzXL4+Kpb87G4xbkZXn46QUTGVGUw2/e3ERtSwf+QDBui0R3eHfjAf69Zh9XzB7NoLws5h5eErZ+VqnKZjP152/z4FUzOPuYxCtv+YPBsMFnX9DgAkFJdVMbJflZZHlcuF0i6fmPmsTIJA3uFCnltN4UbqDmiy3fUc0HW9WEXn8wiBDxaw5OQSYuAaccNZiHvzHDWm/vqEwfybLtVZZwA2cTJaggjXgnerdGpKMyNYBEBFygG1GUduH+t2/O4vqTDmPaaOf6a5GYpqc8mw/JzCwSa4J2TzKyKCdsgvLCTQcJSnj4GzOYe0QJHpewqlJke13cesaR1ra5xkCmJRkTpT/Y5SDLHBBkeV0U5notU7DX7WLSCBUgc9mDy/ifBZ8mfP5kKDc03R+cdTT/76yjLOFjMstWh++nr6xL+PhSyk4BULl9QGOqbmonKJUmLYQg1+vWGlwvkUkCLi18bdZoIJSxoiMg8cYZQQk2E6Un9DILIXjim7M5c9Iwa70nLLLSjdct+KIyPGQ92mg9MQEXtOrSQUiDSyTYIBBMPnu/vfP50pGDue3cCXEPFswO3T7J+7ZzJ7Du52d16ix7i5FFOVQ2tlnpscpqWvC5XVYi7myv2xJwv7jwGIYXhlKz5nrD5zsmQkdAdqn5mtcry9P52tgDUP6zbj9ruun7AhX1u2ZPLW+v3++Yo9PMsBItzZ3H7eLDH57CVXPGUN3UnvDcNado4+w+YKI0p8SYJtncLHdSZmlN4mSKgJPA20KIVUKI63vzxD85bwLDBmRbo3Rlzom/c8/ydjZR2rGCJSI6+THFubR0BOIKnkjERNnqD9fgspIIMpFSJp/c2NDgRhfnJOw/MwcB9lyXZhqvdGFOUn/amG9W09TOwDyv5QvL9rqoaVIde+TkdHPCdzI+p/ZAMExIOWEKQKftsiKWXfjXJaz4ojrhdtiZ/8QKLvzrEq5/ehX/XtO5mnZdSwcDsj0x7/vo4lxKB+WpCfQJToB38lWbz0pLR/pMgmbpIjO4KM/nScosrUmcTBFwJ0gppwPnAN8RQpwUuYEQ4nohxEohxMqKioqUnVgIwYzSgSzbXkVHINiptE1X5DoEkdgJja7DjznRqKFmFl+NRUG2N24B1xZhovQma6JMUsKZvpDICcfxYJ4znqjL3sKsgvDxFyp4p6qpnYGGfxOUBmFWho8UcF63i6Jcb9TCurFo9wfD5rM5EdLgnARcqC1m4d7P9nSvhM/u6maGF2bjc6vKBpHUNLdbvt9YmNevJsHr4lR1IxRkkr6J3mXG4Hi0IeByfO6weo+aniMjBJyUcp/x/yDwMjDbYZuHpV7qTQAAACAASURBVJQzpZQzBw8enNLzX3LsSKqa2nl/00HaA137PuyYSZmjlVUxNbjIfIQTjU4nmuZnx0xjFY9Jp7UjGHZMt0vgdomEoyiTnXdmCuIzJw7tYsvOhEyU6TFHOjG6OJeTxg+28jvWNLczKD9cwJmmuRxvZ8E8KM9nCcCukFJFIV5430cs3VaJtwsNzrQ0OAk4U7ube/gg/nPLlxiY6+WLyu4VSa1r6eCCqSMYVZzD7urOAq62uYOBMZKUmxQb168qQQFnZRlyCDJJZ1DHgfpWsr0uKwl7ns+jpwn0En1nKBwFIUQe4JJSNhifzwR+0ZttOHn8YIYOyOKpZTsZWZSTkIlyYJ56WaNFcZmBBpEC8GgjAXFXZihQPriOgKo+0FUmjsggE1CBJolGUSarwc2fW8qogTl8eeqIhPc1r3tuH9LgAIYUZFl1A2ua2ploBHCA0iBMDS3PQTAPys+Ka9LvMx/vYsUX1Zbpb/LIQr5hTDOIhi+GD+6IIfncddExfHmaug9jB+XFlaYsGq0dAVo7ghTmeBlbnMtOB2F5oL61U/kkJ4qT1eAcTJSmBpdMvcRU0e4PkmXLRZub5U74t2mSIxM0uKHAR0KINcAK4HUp5Zu92QCP28V1Jx7Gkm1VrNxZE3eaLoCiHEPARXFym9pIa0TKpCnGpONbTjuy0z6RmCVz4jFTRvrgQAnR3jJR5mV5uHDayLD5WvFiBvek0+fmxJCCLCoa2ggGJdXN7RTn2TW4zlk17JTk+8IST0fj3ne38uqafUwaMYCtvzyHf//PiXzVCICKhmWidLACCCG4as5YqypG6aBcdlUlr8HV2eokjh2Ux4byep5bsdtaX9/aweYDDXGZps3rl6jp1skH5zOKF6czarEjGB4QlOtzJ5W9RpM4fauncEBKuQOYmu52XHncGO5ftI0dlU2UDsrtegcDM+Q/mgZnzumKzCgxKD+LnXefB4TyMEbDDFZoaPWHJYl2ItJECYaASyDpbuRk2t7Cmibg61uP7eCCLPxBSVVTO3UtHZ18cCZOvsNhA3JYtLnCmmcZjZaOANccX8rPLpgY9+DAvF5d+eoASkvyeGXNPkcNPx7sdRLNWmw/eulzvjR+MCOLcti4rx4p4dgxCQi45sQEXLScrTled1rnwfkDwbBBca7Pk/aJ5/2FTNDg+gR5WR5r4mkik2LNPIvRtI78KCZKOzNLi7nuS4dFXV9gJO+NJ11Xa0cgbMoCqA4wkaS7quBp3JunDPO6O5n60okZ9r67ugkpCdPgzOjb86YMZ9iAzua50pJcmtsDfP+fazqVLHp1zT6WblPTU9o6lPk5Ec3X1ODi2aV0UB5ShiL+EqG6qZ2dxpSWgbk+q5wQYJluTe1wnK2WXjRyfW6yPK6ENbhoKe2yfe60ChR/QIa5NZQGp31wvYEWcAkw2Midl4h17vDB+dxxwUT++FVnJdQc1XdnhGlpcHHUhGvtCFoJnk2Kcr1WVeVYfLi1gr8t+QJ/N4JMuoOnD0ZRQkjAmUEaA20C7pq5pZw7eRh//OpUR+E00phm8NLqvXz5vo/CBjq/+c8m/vuZ1RxsUHks4wk4suONEWQSyVjDKuHkO4vFws0HmX7nO1z/9CpAVT0/bcIQXvzv44FQcuxd1U24XcKaVhELIQTFeT5LwAWDkqrGti7zZkbT4HJ9SoPbcqCB9zYeSOj3pYLIyOtcn0dP9O4l+lZP0ccxcyEmUntNCMH8E8ZFXW/6ZSJ9cIlgaoFXPvIxy358athk4k92VvPqZ/v4yfkT8LldtLT7O3WUJflZcfmBHlq8g48MjSKZycndpa8KuAGGgPt//1wDhIIkQAm4a+aWRt13zmGq6OfkkYX8/N8bWL2rhrlHlCClpLKxjTZ/kNv/pbJ6JJqtxUxfFo/PsnSQ0qx2JhhosmW/0tDOmzKcgbley6c3Y2wxA3O9VlmkXVWqgny8EcjFeT5qmtpZt7eOH76wlg3l9eR43Tz77eM61Qo0MQVcZBBYjldpcGf+SeXA3P6rc3s1h6lKAG3PNeum3R/stRRp/Rl9dRNgkDEnrTvJYCNJRaaFAbaCoe9tDNWZWre3jsseXMbTy3exqbyBisY2mtoDjCkO9yGW5GdR2dC1gKtv7bCi4IYVdj0/L9WYnWNemrKWRCMyM8fIgV1rKSZ5WR7++NVpfGWGSjm2apeai3awQQm3giwPb61XWkeivjGznmBk/TkninK9DMj2JBxocrChjVyfm/uuOJa7Lpoctu6IIfmWBrenutnSEuOhOM9HVVM7v3trM/vqWjjxiBJaOgJc//Qq9tc5198zg0wirQs5Pjfltn122GoR9gYdAek8dUFP9u5xtIBLAFODS2UElKmNDMzruhOKxlCbsCmxzcF6/pM91uea5nZeWFUGwFHDCsL2L8n3URlHaqT6lg5mlRaz9EenMn9udK20pwjlouxbGpxdwL33/ZPj8jNFUpDtZeygXDbtb6C2uZ3jfvUeoDQjk0RNlGb6tnh8lkIIxpXk8fTyXfzh7c1xn+NAfStDCrIcza92AberurnTwCoWxXk+ympaWL+vjlOPGsLfrzuOt797Es1tfm54eqVjRWxLg4uIcs7xuvl8b531/Yw/fcCPXlxrFS/uafwRc2fN51en6+p5tIBLgCOHFnS9UYIU5/n43Vem8OjVs5I+RpbHzYXGfCbTl/fsx7t5evkupo5S0w3K61p5cNF2CrI8TI6oezZ0QDbt/mDYKNeJhlY/BdkeRhTlxDU/L9V4EpkmUFUFy5b1cIsUpoA7rCTPykGZDEcNLWDzgYaw8juzSostM3byGlx8AwLT1PqX97eFLW9pD7CjopEl2yr5+/JdHKwPPScH69sY4hA8A8r/XNPcwReVTdQ2dySkwQ3MVdMnKhvbrQHZ+KEF/PDso1lTVudoSg354MKXm9dvRGE2p09QpYKe+2QP//dy4gmdk8Ef7BxkAolPg9AkjhZwCVCc52NAtseqpZYqLps52gqtTpbbzp0AqKzp97y7hdte/hyAb5+koi//vnwX9a1+Hr56JgXZ4driyUepzC9vfF5ONKSU1Ld2WJ1gOgjloozR0T/+OFxzDUydCnPn9kq7sr1uHrxqBs9dP6dbxxlemM3B+larGCnA8YcPsjRCpwnbsTCDXYbG+WxFE0B/eX8rp/5hMV9/9GN+8q91/Pczq611BxtaGRpFwJkDwvc3KbP5mOL4NVu7NcFucZhm1LXbeqCzmTEk4MK7NXNgcPzhJTz0jZl8+MNT+PLUEby36WCnY/QE/ggT5aQRA8jyuPj2Uys7Rc5qUosWcAmy+vYzeOa649LdjE5Yda/aAyzarHJxfmPOWM6eNAyXgPX76jlscB5zDivutO/hg/OZNrqIBSt2RzVTtnYE6QhICrJTaB5saYH33ot7c3MUHFMj+f3v4amnYO9e9T3YO2aos48ZFlWTiZfBBVnUt/otH9Pb3z2JEUU51u9N1ET5vTPGc8/XpjFvfHyp6350zgTOMFKo2c13m41Aku+dMZ6Lpo1gY7kqViul5EB9G0MLnP2xYw2T5BIjMCkRDa7Slt3l6GGhzDBHDFEa8nYHP1pAOhcjNgdEhTle3C6hEjqX5FHV1NYrZkpVoy50744YUsA/bjievbUtvLY2+qBS0320gEsQj9uVVBaOnsZeeqWioY1Lpo/kzouOweN2WdF0V84eE7XtXz9uDNsrmrjt5XWss/krTMyK4ZHaX7f40Y/g9NPhs8/i2twKMokl4CLzkLbFl+exL2BO0t9q+K3MPKbmoCLR6tvZXjcXHRt/1pj8LA9zDlPWCXtWnLKaFk6fMJSbTzuSI4bk09weoM0foL7FT0tHIKyga9jvMQTfp7tV4EwiPribTj0CgLMnDQur/J2X5WFAtscqQWPHzOcaWcrJjD61+yKHFGQhZe+YCTsi5sEBTBlViNslaOxiak9VY+8I4UMVLeAOETxuFz6Pi+Z2PxUNbQy2jaqvOV7lLLzEKA7qxPlTRuDzuFiwYjcX37+k0/ptxoh5ZFH3tJQwNhvBDFu2xLW5OTKPGS5fXQ3nnRf6nkoB9+STcMstsHx56o5pwxJwxuRoM82bOXE8kZp9yVJgy4oDag7anppmRheryNBCYwpEXUsH3/2HGpgMjqLB5fncqlxQsyqTk0hw0IThA9h593k8+I0ZnQT04ALnaS3bjYHB2AhBauWAtGXAMdt8MI7o4e7iD3ZO0C6EIM/njjndZv2+Omb/6j1ueU5d58VbKvjl6xsSHuj0Z7SAO4Ro9wd56IMdtAeCDLal7PrpBZNYffsZYRk2IsnxuTnOKP3iVBvu7fUHEELNb0oZAwzT0+efx7X57HHFnD9leOxiqzU1MHQo/PWv6nsqBdz8+fDnP8Pxx/eIZlhaojrmhZsPMq4kzwrkue3cCXzrxHGcOSnxCgyJYmbeqTc09q0HG2luD3CMUb6pyPDB1jV3WFlPZpU6PxNCCGtqTTQ/XTKoaS2dNa81ZbUUZHs6mULNMjr2Ce9mtHE88z+7S6QPzqSrOo4PLd5BICh5/fNy7v7PJq55fAWPfPhFWESoJjZawB2CCBEqtwMqs0Ms4Wby269MAeiUazMYlDz78W7OOWZY1GrMSVGlaqixeHFcm585aRj3XTk99kbV1VBcDNlGh9oaOzI0abZt63qbBDl8cD7DC7PJ83l44KrQ7yzK9XH7+RMTDjJJBtME/Zf3trFhXz2f7FRFUE0hZtVqa+4gP8vDCUcMsgp5OmGaKeN5/uKlxEGD21hez4IVezjxiJJOGp/pVrbLGLN0UW9UGfAHpeME97wsT9SkEXuqm3n983IroO3Bxdutd9pMi6bpGi3gDjEG5fnYetc5zD2iJOF9hxfmcMmxI9lZ1cwxP3uLrzywlOqmdmqa22kPBJkdZaQexpNPwr/+Fd8Jy9S8PJYtg5deitsXF5XWVhW4MnAgZBkabE/54DZuTPkhhRA8ds0s/nXTCWGBFb3JkUPyGTsol7c37Ofp5bv4ZGc1QwqyLBOl6ResamyjtqWjywKm5gT2VAq4oQXZlNe1WuVxAJ5cuhOAa0/sPD/T1ODsmr8ZsNOdDEKRVDS0cfnDy7h5wadhy/2BoGPmlPzs6HXh3ly3n0BQ8rvLpjJ5ZCFnThzKC/99PC6ReLaZ/kzfmjGr6Raf/fQMvG5XStL/zDtqMK9/Xs4f3t7M1ceXAqHReFSkhO9/XwmZzz+Hw6IniFaZfctUOP+aNXDppaHlybJ/v/o/dGhIwO3erY7/zjvw8MPJHxuU4Kwxql73gIADwmrJpYMhA7JZ/INTOO/PH7K/roUtBxqZVVpsaUVHDMknz+fmg60VcRUw/cacsRxWkpdQgElXHDUsn5aOALurmyk1plB8srOaU48e4mguNeWgXbOzoo5ToMGt21vHx19Us35fHct3KI33z1cc+//bO+8wKarsf79nYMg5ZwQREERJuisqgigIooJiQkVXVhSXNWLAsGa/5ohZERNGzFl/YhZhRERFlCQIipLTECac3x+naqq6pyfSdPc0932efrqr6nbVp9I995ybCrbHamQCxYcol6zZTN3qmbSsV53X/nNAgYFsWMph9RyGM3DJYuFCaNECqpd+WKeSKKk0XRouHdyZ/p2bcOQ+Lag1dQ5TZiylXyfrHFvSVDwsWBCEHc85B94rZtq+desgOxtOOMEam5QmlJidDStXQtsiJvpcuNC+27eHzV4p97DDgu0TJ0KVHbhGlSrB2LHwzjs7zcClCs3rVmPG4jVs2JrLvw8KvKJqmZUYsGdT3vtxBRu25hY0hCmOA8oRTSgO37uds3y9NffftI2FKzdzbK/Yjaj8ri9hJ8qfUSMeIcob3/6Zrxetjli3LTevIKScm59fMJdhmJpVgtaguXn5zFm+ni7N6zBt3t9k/ba2wGsOe39mFN0IKKXFhSiTQV4edOgAI0YkW0khmtapxpHebNv9OjVBFSZ/tRgopYED6NsXPvgAtsdogr1sGZx9dtCwpEMH2Hvv0om7/Xbz+GLtF2DRIvvefffAg4s+dm5u+evltm2z/e655y5g4Kqzwasf2qd15Bxux/RsydrsHPLylVZlGHezWPLzS+29d21Rh0a1qvDCzKXk5uWT5Y3fWVRjl3GHdOAf7RowtFswi3xxHlz29lwuevF7Xvtuean0rNm8nSqVM3h0VG8uG9wZIGKW9rz82B5c/ZqZrNy4jTnL1nH0/V9yzANf0fXq9xn77CzmrdhIq3qFvd6aVSsVjFDjKBln4JLBeq8V1DvvJFdHCezZ3EaQ+HLBajo1rV18ZrZ2Lbz9tv3u0ycIQUZzyy3w8MNw8MHWivKf/zRPtjT89ptduzlzYm9fuBAyM6Fly0gD9+ST9r1kCQwaVH6vOWzgfvklYZ3I48bzzwddM0og3BIxOrzYr1MTZl5xKB9e0Jfjehc/q3ipyM017/iqq+x3CYaucqUMxvXvwJcLVrP3tR9w1tPfkllJCg1B59Oqfg1eOGt/6obCqX6LSr8OLi9fmfTFYhb8vYmnv17C1FnLOP+F2dw/rfjGRPn5yuLVmzm9z24c1qVpwVBtqzZt46uFq3h99nJy8mI3MunSvA5rs3M4auKXrPS6K4TH2BzcrVmh/9SsUnTDlE3bcpn48Xyy3VxzBbgQZTLw63FSnLYNa3LvST1oVLMK++/esPgOw5dcAo89Zr979bLvpUsL18OFjdl770Hr1tAoFMLKzoYaRdTX+OHPb76B3r0j1x98sBm/3XazzLJaqFl69+72vWQJfPxx0edQHPn55jlWq2Ye4pYttr92iR90ulyowkkn2e8lS6BNm2KTh4fHahijgUjj2lWL7P9WZv70RvO48UaYOhV69oRnny32L6cf0I7cfOWGt82T3qNJ7TKN1SkiVMvMKAhRvjDzd657ay4t61VnW24e7RvVpG3DGtz2/i8M2LNJkY1+1mZvZ3tuPi284dD8+f2en/k7U75ZCtiEwrEamfhdblrWq8475x3EJ7/8zXnPz+bNcQeSkQFdWxQ22LWrVeaPdZERiI/n/cVdH86nZ5t6PPn1Eg7co3HBkGa7Os6DSwbr1gW/c3Zw6p28vJ3qSRy1Twv6xGh6XYjFi4Pf3bxpU5YuLZwuzwsJTZ9u/ckALr002P5XMRNShg1c9LF/+sk8xt13t3VhD65TJ/tesqTofU+aBNdeW/R2PyxatSp0tjBUhQpTbtwY/D78cHjzzWKT+5lrl+Z1dv7IPeH7Mm8eTJkShJuL4d8HtWfBjYO5+ZhuPHZa7xLTR1MtsxJbc/LYsDWH/71uAy8vX7eFVZu2M7hbs4J5/A6/+3NeDM3MEWa1NxKK3wBrz+a1OfOgdgXGDWB7Xn7MEGWXFnV459yDmDq2D3WrZ3LUPi344ZqBdGtVN6ZxA+taEG55mZ+vnDE5ix+Wr+fJr5cwolcrZ9xCOAOXDMIGrqz9qRYutI5ufmbcsCH8owxjY379tY3GsSnOc2L9HRq4tok1SuGrr4KWjT4bN5oXFNbcoUMQ3izOwK2yMQ0LGbhwIcGvzwsbuKpVoXnzog1cbi6MHg3XXFP0sf3uBn6IEiIN3KJF8NFHpr+03SQSyZo1we+ff4ajjrKQb5h166y1qSoNalZhxhUDeG4HB5AuFeGCkN8Yo5R9IytXyuDE/dqUaqbwaDZvy+Wpr5dw/Ztzyc1XxvXvQIZYF4LxAzvRr1MTPr24H73b1ufqN34qNI/cuuztBY1E/A7tIsLlQ/ZkbL/dqZQhjNq/LQO7NOXgPWKPB9qlRZ2CgdZFpMSh8GpWrRxRB/fB3OB9qVW1Mpcc3qnM1yGdcQZuR1CNzNhjMXcu3HVX5LqwgfuxjFN2+H3FrrnGjNX69ZCVBSefXLp9TZlio3G0awfPPVe2YxdFfn5gqJs0gbp1LaN6+OHAm/PZsCEYwSRMU2+UjpI8uIwMG9orHOb1DdxLL8H119vv6EYmbdvauYc1gzWGqR+aIdo3otH4DVOqVrWQaqNGkQZuwgQYMsQMx/Dhdk92Np99Bt9+a89hSQ00fO83HPqbNy8yzejRMHCgNQICmtSuFt+O/UURLnjccINd208+CdatXw/33QdffGHnmR2fEfj9EXte+nYZ/2jXgPGDOjHjikP59OL+BV5r24Y1uf/knlSpnMHN79r1Wr1pG/96Ygbdr/uQUx+fAUDj2kEYV0S49PDOzL9hMNcdvReP7JVBn3fj867VqlqZ9VtyeGb6Eqb98jd3f/QrbRvWYNZVh/HhhX1pUjuOQ+mlAc7AlZWwUbv2WsuYizNy/fvDhRdGhojCmfOMGWU7fu3QnHTffx/8njLFjlMSy5bZSB+rVsHIkfDoo2U7fiz+/NPqpO6/3zy2jIzAgEQbjA0bIs/BpyQDl5Vl+xo2zJbD1803cE2bBt0AWrSwa//KK7Z80UVBX7vwf376KdKbLaoRhu/B+XV74ZaUqpb55uQEum65JfZ+4snBB1td5MiR0KWL3durrzYjEY1v4Nq0MaMIkec6Y0ZwrZ58csdD52Uh7MGNHAn9+sG0aXZdf/8dDjgAzj0XBgywwbmbNw8aapWVSZPgwANh+HAu+NyM/TeXD2DKmeapNqpVtdCwYk3rVGNIt2Z8sWAVE175gX63f8KXC1dz1D5BfXLjWoUNS0HH8iOOMP1+XWNZ+fTTggLT3q3qIghXvvYj/3piJvNWbGTswbvToGYVmteNX5ejtEFVU/4DHA78AiwALispfa9evXSncf/9Vl7+4Qe/3Kz6yy9Fp69UydL8+GOw7txzVatVU+3ZU/WAA8p2/NdfD4574onBb1A99NCS/7/vvqoDB6q+8krwv7lzy6YhmmnTbD8ffBCsC+vKzw/WH3mkao8ehfexbZtqRoZqv36qVauq3npr5PZ77w2utYjqNdcE2955x7Z9/XXJWm+/3dKuX2/LEybYcX2tjz0W+3+//mrbn37alseMUa1f387tt99sW+XK9l2njn0//njJespLdnbkNY7+bNwYmX7KlOBe5+er1qunOnasbcvPV+3fX7VxY9WHHw605+bGT++yZardu9t7E83gwXbM226z5YcesuWff1Y9+mjV2rVVr7jC1onY9xdfFN7P+eer9u0b+byFmT074hrlVqumn/38Z6nkv/bdMm176Vva9tK3dOwzWfr972tVVXXDlu365fyVxf+5ZUs7ZqtWqn/9Varjqarq/Pmq++8faO7bV3X6dM3Ly9c/123RW9/7WUc8+KVuy8kr/T5LAMjSFMjz4/VJeQ9ORCoB9wODgS7ASSLSJWmC3n/fvu+7L1hXXMgkPKIGmMfw7LNwyCFWUs3KChowrF1r4bJY3QcWLDCPYXNomJ6pUyPTfPZZ8Q0pwOZJa9nSPKFx42zdvfcW/5/iyM42Twlgjz1ipwl7ZUV5cFWqwKhRFpratq1wa8cVK6x1ZIcO0KOHad7izXztexuZpQinRQ/htXKlhVXXrLFtRXlw4RAlmMe0dq3Vu33pzb5w7bW2fcYM8zTOPjuoWyyOefOCEOOGDSWnh0idPXsGDXb8LhDTpkWm95+Lli2tDrdTJzvujBnwxhuW/vLL4Zhj7BqPHh3bEywvTz1l4fUJEwpvW7rUnsfx42150CD7fu45CyGfdpqFnh97LHj/5s61799+s4ZLn30Gd99t37EG716/Hs44w8LnS5bAww9TaetWDpLSeYKHdG5S8PuO47qzdytryFG7WiZ9Zn0Mf/xR9J/9EPiyZVb3HB0ajsWSJeahz51r/T/vusvygOHDydi2lWZ1q3HxoM68dHafgkG5HTFItoUt6QPsD7wfWp4ATCjuP3Hx4KZNU23dWnXBgsj1xx1npan+/YOS1ZdfFr2f+vUtzYMPqm7YoNqkiWrz5qrz5qm+9JJtmz7dPKoTTrDlQw6J3MfmzcGxLr/cvps2jSyxn3aafT/xRNFacnLMW7nyymDd6NGq1aurrllTxgvk8cILgYZwib9r12D9Z58F63v2VB06NPa+Vq5UbdDA/nPYYZHbzjhDtUUL++17GfPn2/LLL9vy99+XrPeRRyzt77/b8tFHq3brZr87d1Y99tjY//vmG/vf66/b8p9/mhdes6bqKaeo1qpl13fbNtu+Zo1qjRp2vzdsKFrP99/bfjMyVPfYw36/+WbhdM88Y/fqgQds+dlnLe0tt5gH2bOnLT//vHnAF1wQ+f/TTrPnzmfUqMLP0LJlti0nxzzpjh1tefp01dWriz6Hoti8WfX66+2+HnqoHaNNm0gPKz/frt2550b+t2NHS5+ZaZ6XT16eeXSnnKJ63XWR+v3PSy8V1jJ0qHnYb79ty7NmWdoXXij+HEJaf1i2Tn9btSnYlp0dvMNgz+fNN0f+f/580+unqVrVnosFC1S3b1fdutXSff656qOPqq5YYcsTJpjeOXOCfb37ru3jjTeK17wDkGYeXNIFlCgQRgCPhZZPBSYW958dMnBbtljoxn8gb7zRHuSvvrJM7dRTbb1vuKJDc2F+/dWMB6hedJE9xKD62mu2fflyWz7llODh9/eZnR3sx88Ew59zzolc/vZbyyjGjrWX9qCDLKwTzkx+/10LjK3Phx/aumnTyne9Xn010BB9HX3dkyYF6zt0UB05suj9zZhhRm7ffSPXDxlimbiq6ltvaUHBQFX1uee0IKRVEk8+aWn9gsv++1thRVV1v/1UBw2K/T8/bBYOR/uh0aLCw/Xq2bbRo215wQLLoH1yc1WrVCl8b7t0KRwe9A1/rVqqd9yh2qePhb/9DHL8eNu+ZImdR3QhqUcPM1o+V18decw+fSLTT5yoBaHKjAx7fsMsXmzXfe3awue9fbvqiy8GhcFrrjFD5b8zl1yiOmyYPYdr1ti6O+6I3MewYUHaaAYNitSemal69tl2/8HuVRj/Op9/frBu69bg/w88UDikq6p6zz0Wbm7XTvXMM61K4MAD7VrtuacVsjAeNwAAHJVJREFUcMI6/ELd2WdbIeHll+2drl1b9aOP7Jjffhuc77nn2u8mTYJ9VK9uhTuw+xhm61a7/2efXVhrnHAGLtEC4bgYBu6+GOnGAFlAVps2bUq8kUUS/fJ06mQPuG+A/PqV8OfVVyP3sXCh6t13q/bqpdqokWUQRx4ZeA+LFgVpW7YM6hV++inY5333BWk+/VQLGbUnnrDvdu3s5VFVPeooy0T8jNU3rF99ZdunT9dCHsKPP2pByT9Mfr4Z3g4drN5p6tRg2zffBHVVkybZ/30vKExOjpVCJ0wI1jVtqnrWWcXfgxNPNG8mTPfuZuTC5/HWW7YcbbSK4/nnLW24LsrX07+/ZWCxOOkk1WbNCnsfPXrY/q6+uvB//PrXoUODOtvbblPNylJdty7yfocz3GhP3PfgGzaMTNO7d5Bm+/bAwI8cadvnzTNDdMkltnz77UH6Rx8N9vPGG4Hn6bN0aVCnCPYsT5xo0YrJk4N6y3BdqI//TEBwDcAKU//8Z+Q5vPiixvS6ZsxQ3WefwKMJ43vsjzwSeT+2bNGCQmmYBQu0UEFLNfJdrlfPniNVe779gmnr1ualh41pr16qBx9shcnJk01PXl5QgAwXgLt1U/3jj8jjtm5tz7h//GrVLEJRt27ktXn22cLnPmyYPQfXXWcG+5BDIr28HcQZuEQLTGSI0vc4Dj888kGL9TnoINWrror9IO69d5DuvvtUjznGDOX48WYkw6X4vn0tXUaGZXK9e9vyZZcFafyGJVlZwX79kmDYEMyebZ5Ps2aWafmG2feupk6137NmBf/5+29bd+WVVtIdN87OrVGjwuc8b579J7zP6EYb0eyxh5XkfapXV7344uLvw9ixdnyf6DDW/Pl2TD9DeuwxW16ypPj9qgYe53ffBRnfI4/YtqFDYzeA8c/xhBMKb/PDpR9+WHib33jirLMCj6R1ay3I+PxCin8tr71W9fTT7R62bRs8J34DlyFDgnu+fr3qpk2FjxnWdPLJkQYl3MDB9z779i36WvkFh86dCz8LTZrY+q5dC3ubZ59taSZMsA9YA5acHDPs/+//Bfs580z7Lk14OUxRz1vNmoXDs2+8YceIrkpYssSiMh9/bNc7I0P1ppuCUPGoUaZZ1e7v11+bES2OZcvsHT7tNLuffig8zPDhgdG8997I67d6tRXCirq333yjutdeQaEYzDv9+OPidZUSZ+ASLdCGE1sEtAOqAN8DXYv7T7kN3OOPa0FGfuWV9gK0alX45fYzJL/E5meQPm3aBOlWrjRjVbmyZZDt2kWm9UOerVvb8saNVlfieyuqkR6Kv9/t281w+mG6WEyeHKTftMlK8pmZkeGYvLwgzdChwe/997eWjAsXRtYz+N4T2Mvo/y6q5drgweZ9qVpmAVb6LA6//sHf5x9/2P8mTrRlP6x15522/OCDtvxnKVrE+Rn79OlB/WFWlm074QQriETjn6Nf/xUmN9c8yVjnv369/e/442M/Q374yw8z+viGb8gQy9B8g3D33fY9eXLx55iXZyX7Fi0CD7Nhw8g0vkf5f/9X/L5WrbIw5Iknmmc4cGBwTjffrDE9o732snT+NRg7tnC9Ufg6dOxY9PNTVtq0McMU5pprzHjFCkP6bNxoLZp9TTfdFB89sbjpJjtG9+6F731pWb/ejOnff5tB7tLF8oQdxBm4ZIiEIcCvwELgipLSl9vAXXSRhQvCJaoLL9SC0uiMGfb7n/+0bX5Ge/fdkfsJN7BQjQzZ/OMfkWl9L9A3AqoWGmzZMli+5x5Ls2pV5H5LIj9f9dJLLf0tt1ipe8CAwun8fWZkBGGwcMkzN9cySwiuB6ied17Jes45x8I1qkVfr2huuUULjLJq4W4IeXkW+rriClv2uxCsWlXyNfGNxaefBgbfz2T+9S8r0ETjn+NPP5W8/2j23tu8A7A6leOOC+q/MjIshBjNihXBMevWVf3Pf+z3smWlb2buF9bat9eYHlJ+voUpi2sAE4stW6zAtmKF7aNDB/NYrrvOIhn9+tnxrr+++P34YcbSpC0LffpYZh+Okhx5pK0rifx81Zkzy3efy8KcOfa+l6bOuDT4BdDjjy/ZwywBZ+AqwKfcBu6IIyINjWpgnMaPt+WcnKC06debRMf8/VLzt9/a8hdfBC9zgwaRaf3wWteuwbrbbovMsP3WYjk55m1E15cVR25uEBZr0CB2n7fJk83wffCBpY/VcGDDBgurHHNMcC7+59//Lvr4//ufhVOuuioI9ZXUPyy6paMfcguHIBs3DurOSgqThvEb+owaZZ5DuB/iuHGBMfbJzw/Oszxehh+ChqCuxA+TRjciCOOH9vxPWeuVly0L/nvwwWXXXVqiWzJmZNi1Xbq0+P9t2BD8J1wnvaP4/f3C70inTqojRsTvGKmIn2fst581Xisn6WbgXAeKMK++WrgP2skn2+gQfv+dypWtHxFY361KlSJHKQHrW3XaadY/CaBjx2BbdJ+53XYrvH6ffezbH6lk7VqoWdOO3auXTRJaWipVsrEna9e2c/PHUQxz2mnWn+uwwyx9vRiDtdauDSeeGDlI7/nn2+gMxY2G0qCBZWPXXx/0c4o1VFcY//j+kGa//mojiLQKTWjZsGEwOkd5+sE99ZTtd9SoYFvNmtbPMDc03Yj/+/rrg/teFho2tO9hw6BrV/vt9wP0B22OxWWXwZVXBn0Ue5dxMOGWLWGvvex3o/hOOBrBBRfAE0/YMwR2Tk8+abNEFEetWvY89+kT3xkZjj/e+ihecYW9N3l5Nk6oPwh3ujJ+vOVfy5eXvi/lLoAzcGEyM20YoDBVqti4jw1iTKYoYtPBRHcO3rLFMkufcAbzxhuRaf1pS/xOyxAMGDxgABx9tHXw9A1hebjwQhtOrCyDMsfittsCvUccYZ1PmxWesyqCWNetSwn99KMN3C+/WCfy8KzIsQxcaWbr9u/FoYdaB/Qzzwy21axpne7r14cXXrB1fgfv8s4h97//2Txsr7wS6O/f365lcR3s69QxozpmjHXAnjix7Mf2DWrj2AP9xoVateD004MpkkoybD4iVhD8/PP46qlUya7VwoVw553WuTonxzqvpzvDhlleUVzBaRfDzQe3o/TsaVO/hNm6NXI+MhEzLrvvbl5SGN9ghKdqadrU5jCbPdsMYv36NghueRGJ1FNe6te3zHrffSO90uIIGzh/HMGSDJw/8oM/Zuevvxae9btRo2CKnpwcO8dKpZgPrF07GyWidevCHpk/lc+mTXDrreYp+wWP8l6/7t2D+eh8MjICb7Ykqla1edLKg2+UixphJp7Usok+y+RpxooUxIP+/e09e/55Gy0I0t+D84nHe55GOAO3o/ToYaX9NWuCzNyf+TlMtBH0qVrVQnjRTJ1qmcXatTbMkP+iJpvevW2w3tKWiMMj9d9xR2FDFQs/41uwwK7rokUwYkRkmoYNYeZM+719e+nCkz5FTfbph28bNAiG8vI9uIqYcfjnsDM9OJ+RI80j++9/d/6xSsORR9oAxx9+aMu7ggfnKIQLUe4oPXrY99Sp9oLn5Vm9zY5miO3bW+auahmVN4VJStCzZ8n1aD7hkG9pQye+gbvwQqtLys0t/F8/RKlqHlxpwpMlcfzxVqA44ohgzE/fgytviDKZ3HCDTd0zfPjOP1bVqjare6pcJz/i8fDDpq1ly+TqcSQFZ+B2FN/AjRljg/aGJ8aMF5UrsKMdbkBQWiPUoAGcdJJ5Wr4H5dcn+TRsaNc6O9sMXFk8uKIQMeNao0bQ6Kcie3Dt21vdnx8+3JXo2NFCs7m5VteZ4bK6XRF313eUxo0jW/etXGnfFTFD3FksXmxhxtKSkWHz2x14YLAu2oPzG4usXh0/A+fjt6aEiu3B7cqI2Dxqixdb4dOxS1KBXYMUYrfdrLUWBNOSOAMXUN4WoC28CSVvvdW8qjB+8/tVq6y1ZbjV6o7ie3CqFduD29WJbhHt2OVwBi4e+LNRQzBPVTxDlLsq115rfQJPPrnwNt/ArV5tjV6iWyruCDVqBHWf/mzfzoNzOCocLkQZD8JN/8eOtW9X4t9xatSAU06J3cHaD1H+/jvMnx9fA+d7g5s328Sf4O6nw1EBcQYuHowZU3h2befB7VzatbO6uu++s+W6deO3bz8cunKldZAH6NYtfvt3OBwJwRm4eCACgwdHrnMl/p1LtWrWtykry5bjGUL0Ddzhh9v3p5+WrhO5w+FIKZyBixfVq9sYfH4n4ni26nPEpmtXq3+D+BYo/BDl+vU29mbfvvHbt8PhSBjOwMWTUaOCUFb0oMqO+NO1azAOZTwN3AEHwLhxMGsWDB0av/06HI6E4lpRxhu/aXt4RHrHziHc+TueIcpGjeC+++K3P4fDkRScgYs3t99uwwIddVSylaQ/4UGbXZ2nw+GIwhm4eFOnjs0f59j5dOoU/HYGzuFwROHq4BwVl3BXDNcR2+FwROEMnCM9cB6cw+GIwhk4R3rgDJzD4YjCGThHeuAMnMPhiMIZOEfFxq97cwbO4XBE4Qyco2Jz3nn2Hc/pchwOR1qQ0gZORK4RkeUiMtv7DEm2JkeKceONNmqMa0XpcDiiqAj94O5S1duTLcKRomRkOOPmcDhiktIenMPhcDgc5aUiGLhxIjJHRCaJSP2iEonIGBHJEpGslStXJlKfw+FwOFIQUdXkChD5CGgWY9MVwHRgFaDA9UBzVT2jpH327t1bs/x5whwOh8NRKkTkW1XtnWwd8SLpdXCqemhp0onIo8BbO1mOw+FwONKElA5Rikjz0OJw4MdkaXE4HA5HxSLpHlwJ3Coi3bEQ5W/AWcmV43A4HI6KQtLr4HYGIrISWJKkwzfC6g1TEaet7KSqLnDaykuqaksFXW1VtXGSNcSNtDRwyUREslK1ktZpKzupqguctvKSqtpSVVdFJqXr4BwOh8PhKC/OwDkcDocjLXEGLv48kmwBxeC0lZ1U1QVOW3lJVW2pqqvC4urgHA6Hw5GWOA/O4XA4HGmJM3AOh8PhSEucgSsHIuKum8PhcKQ4LqMuAyLSXUSaqWp+srUURyoZYBGRZGsoCRGplGwN0YhIp+Jmz0gVKsL9TSVS8VlLZ1ImI0x1RGQg8CZwirecMtdORAaIyAQROUlE2qhqfgrpqweplxGKSH8RuQFAVfNS6Hr5z9obQF9vOWWunYgcKCJnichBItJEVTUVrp2IxJqRJCUQkcNEZDIUPGvOyCWIpD+YFQEvw7kZ+ADoCeAZkaRnPCJyCPAAkIlpe19EuqWCkROR4cCfInKslxGmwvUSEakCnAdcICK3QcH9zEyuuohnbQlwAoCmSFNnETkcmAR0BU4CnhSRjsl+1kRkGPCHiJyeLA2x8J61ysARwCgReQoKjFyV5KrbNXAGrgRE5ADgfmCMqo4GdheRqyBlMp7uwAuqep2qXoxp/SjZRk5E2gPnYsb3EREZ4Ru5ZBo6NbYDTwGXAm1E5GFvW06ydAGISD+sL9QZqjoQ2E1ESpz/MIEcANyjqucCVwIfA8+FjFzC76uItABOBe4GLhaRUxOtoSi8Zy0XeA4YC7QQkbe9bduTKm4XwRm4klkAnKCq/gyq1wPNRKReEjWFw1a/A3X99ao6EdM4RURaJbG+cCWWGV6IhXUn+UYuSXqAiOuWCfQAxmP38zUReVlEKiWxdL0ce9Zme8tTgN0huWHK0LHXAW0BVHWNqt6GZd63iUijJN3bdcD93nM2Drg2VYxcqDBXD+jhzX1ZU0Smi8jX3rNWNcky0xpn4IpARJqJSHNV/UtVZ4U2/QTsBxyeJGlAhPf4GXCIiEwAe6k8I/cRsE+idYlIXRGpr6obsTpLVPVd4HhCRk5EeopInQTrqhO6bq8Cq1X1d8ybOwyorqp5iS5dh67ZfFX9JrTpE+BkETk8mQWD0LFfAE4UkXNDm58B/gJaJ1KT9342U9VsVf3Y0zkNOAMzcqO8dH1FpFEStDXWgPcBPzpwBRbizfSetW2J1Lar4QxcDETkWOAl4FURucSrFwFAVRcDtwBjRaRNErQNFpF7Q3r+Ao4G/isiE0KZUSbQIcHaRmDX7V0RGQ10Cel8DzNyD4nIk1hIqVqCdX0gImeISDcgD2goItcBN2Hh1BoicnsiNMXQ9m5IGwCq+qOn7eRkRAxE5BARuTSkZxn2rP1LRM7z1q0AqgN7JVCX/36+JiKXisigkMZPgNHAZSIyBbiXBD1nUdre9PKOwaFt9wGPAScDmZ4+x07EDdUVhYg0xLyfM7BS12FAJ2Caqr7gpWkMPARM9EqNidLWB3gZ+AOYp6qnhLa197Z9hU1k2xc4RlXnJUhbS+Bd4DQsZDoMyAbeU9XPQukeAkYAh6jqnCTp2gq8ArTHwrkXq+prXtpKqrp0Z+uKoa0ONmt9xDUTkX2Ae4B/q+qCROjyjjsAmArMBLJUdUJoW3fgdex52+bpPjIR+krzfnrpJmKNdA5R1R92tq5itO0JvAZsBB4FrlTVl7307bwCs2Mn4Ty4wlQCNgCLvRL088CXwMFiLRZR1ZWYIVmUYG01gWuwyv6q4RKgqi7CwqZvAnOA4Ykybh7VgM3AHK8U/QCWWQ8Ukc4AIrIvVtJPiHErRtcmYDCW6Qz1jJuo6vJEGbcY2j4l8prtCaCq3wMzgETXpdbDWnOOA1qKyM3+Bq+OsA8wF7uGIxJofEt8P71r1x44NFHGrRhtnwNDgabAAFV9WbzWus647XycBxcDEbkHMybnqepmr6XWKGC7qt6ZZG11VHWDiDTAvMg8VT0pvC2J2h7EGr3cqapbRaQTcD7wtao+JSK1gRpeWDWZujpj3QS+VNVnPOOWlBehpGuWDE0hbTVUNVtEegP/BVao6qXetoxkNWAq6f0UkRpAVVVdm0Latqrq3cl81nZFnAcXQoIm9fdjJbFLRaSmqv4BvA8cLUkeXcI3YKq6BjgHqCwiD4n1AbpMRBJW3+ATamX3GtAIGCki1VX1FywUOEpEaqvqxkQat2J0zfN0ne5l4gnPcEp5zWokWlcYVc32fs4GJmKtTS/1nrVxYn28EkYp38+GXsOThBq3UmgbLiL1nHFLLLu8gRORWv7vUIl0IdbKrgbWKKIR0BHIxRonJFxbLFR1laoeB/QH7gKeV9WtCRFHzKbr04DvsMYlE7xQTH0s7JawPmZl1JVQL6SCaQNArS/XbOByYCT2rH3irU+YrlK+nwnty1hGbSk9xF86skuHKEWkP1ZvdQWQr9ZZtZLaSAOtgAZYA4Au3u+xGtllINHaMrzv5sAmVd0oNorDnVgl/08J0tYJq8fa7tVHIiKVVTVXbMikHli9QzcsXHNmIq5bquqqoNr8Z60BkO2FT88ArgUGqercBOhqgIX2skPrqqjq9hR4P1NWmyOEqu6SH2AQ8CdWSd7ZW5fhfffHmvq28ZbrAjVTRNvBWAirnbc8BOiUQG1HAllYKfVKrKRaydt2KPA40MRbbgXU25V1VXBt/YGngWbe8khgrwTpOhprMPUKNlJJ79C2AUl+P1NWm/tE3atkC0jKSdtLPQsbJeK/WHPnWt62hsA3WBN7py1SWyfgR8zL6Ollig29bXU8bcc5XWmlbUQSdHUEfsC8n76AP2LKgVj/zunAsUm6ZimrzX0KfxJaSZwKeI0wDgUuUdWFIvIF0AtrxrtJVVeLyNGquiLRLZ7Kqg0SPh5mI2CZqv7g1Q/uDtwvIouAb4EhnsZEtxRLVV1pow0S+qz5uuYCeA27/oMNFLAKOFpV/0ryNUtFbY4odrlGJmqNMC5R1Y+8VbOxOo/rQmlWeN8JfUDLqi0JL9BMoLqIfIRVpj+D1f/9AfQDcry6G6crzbQlWN+PwHoRucJb7gn8gnUqb6deS9wkXbNU1uaIJtkuZKI+xKjbIKjXagi8Awx02mJqqxtaroaFY54OreuMzV/WYFfX5bTtuC5sJJ7DsC4UbwBveOtPAp7EaxzntLlPSZ9dwoPzWhp+BJwhoYFXNZjiIxvzlro7bTG1jRYbngxV3aqqXwCbROQyL2kHbOSLhEzkmKq6nLb46FLVXFX9EDgGGIMNBQZQG1innkXZ1bU5Sibtuwl4L/LzwFJgGTby+fOquioq3SDgQazCPTsRD2pF1iY2APU47MVuCJyiiRlbMiV1OW1x0/W3p2tlVLrzgX95uhI1tmTKanOUjl3BwFXBWov9ivUz6ovN8faCqv4toSGHJMFDXVVQbS+qVaJXwcJbewMLVfXPXVmX0xZ3Xf47IKqqInIR8L7aGI8JIZW1OUpH2ho4salsVgCVNbIz5rFYX7L5qnqfiHTXYIJJpy1FtaWqLqdtp+vqqQnuIJ3K2hxlIy3r4ETkCKxhxkTgCfFGswdQ1anAp0BjEXkN+FxsQFSnLUW1paoupy0huj4Vm1YoIaSyNkc5SHYrl3h+AMFmFv4Ba+bcFLgIa/bcNSrtM8BvQDenLTW1paoupy29dKW6NvfZgfuabAFxPyFr+fUI0JIgBHsusBzo6C03x+ay6u60pba2VNXltKWXrlTX5j7l+6RNHZyIdMBGYV+ETRz5rareGtp+CTa8zlhV3SIitVR1k9OWmtpSVZfTll66Ul2bYwdJtoWNxwdr4TQHi49PBI7CQggTQml2w0pnie4k6rSliS6nLb10pbo299nxT4Ufi1JE+gC3Ayep6nci8giwH9AHmC4ilbC+LAdiw+rUAxIyGaLTlj66nLb00pXq2hxxItkWdkc/2MN4emi5MfC297s9MAkLO2SR4Ephpy19dDlt6aUr1bW5T5zucbIF7PAJWMVwndDvVtgMyc29dW2x8ePqOm2pry1VdTlt6aUr1bW5T3w+Fb4fnKrmaTDChwDrgDWq+qeInAJcDmSq6nqnLfW1paoupy29dKW6Nkd8SJtWlGFEZDI2I/ZALASRMuPDOW1lJ1V1gdNWHlJVF6S2NkfZSSsDJyKCzar7s/c9QFXnJ1eV4bSVnVTVBU5beUhVXZDa2hzlJ60MnI+InA7MVNWfkq0lGqet7KSqLnDaykOq6oLU1uYoO+lq4FJ2uninreykqi5w2spDquqC1NbmKDtpaeAcDofD4ajwrSgdDofD4YiFM3AOh8PhSEucgXM4HA5HWuIMnMPhcDjSEmfgHI5yIiJ5IjJbRH4Ske9F5EIRKfadEpHdRGRkojQ6HLsyzsA5HOVni6p2V9WuwGHAEODqEv6zG+AMnMORAJyBczjigKr+DYwBxomxm4h8LiKzvE8fL+nNwEGe53eBiFQSkdtEZKaIzBGRswBEpLmIfOal+1FEDkrWuTkcFRXXD87hKCcisklVa0WtWwt0BjYC+aq6VUT2AJ5T1d4i0g8Yr6pDvfRjgCaqeoOIVAW+BI4DjgGqqeqN3rxkNVR1Y+LOzuGo+FT4CU8djhRDvO9MYKKIdAfygI5FpB8I7C0iI7zlusAewExgkohkAq+p6uydqNnhSEucgXM44oSItMeM2d9YXdxfwD5YVcDWov4G/FdV34+xv77AEcDTInKbqj61U4Q7HGmKq4NzOOKAiDQGHgImemMZ1gX+VNV84FRsQk2w0GXt0F/fB8Z6nhoi0lFEaopIW+BvVX0UeBzomaBTcTjSBufBORzlp7qIzMbCkbnA08Cd3rYHgKkichwwDdjsrZ8D5IrI98Bk4B6sZeUsb8qWlcAwoB9wsYjkAJuAUQk4H4cjrXCNTBwOh8ORlrgQpcPhcDjSEmfgHA6Hw5GWOAPncDgcjrTEGTiHw+FwpCXOwDkcDocjLXEGzuFwOBxpiTNwDofD4UhL/j9VHtkOe3iHjwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = Percent_Close_price_df['FORTIS'].rolling(7).mean()\n",
    "vol = Percent_Close_price_df['FORTIS'].rolling(7).std()*np.sqrt(7)\n",
    "plt.figure()\n",
    "vol.plot(label = \"Varience\")\n",
    "df.plot(label = \"Average\",color = \"red\")\n",
    "plt.legend()\n",
    "plt.xlabel('Dates')#it provides label on x axis\n",
    "plt.title(\"Rolling change in average and variance of percentage change of fortis\")\n",
    "plt.ylabel(\"Change\")\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Standard Deviation =2.6536281966059336\n"
     ]
    }
   ],
   "source": [
    "print(\"The Standard Deviation =\"+str(Percent_Close_price_df['FORTIS'].std()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_Nifty = pd.read_csv(\"Nifty50/NIfty50.csv\")\n",
    "df_Nifty['Date'] = df_Nifty['Date'].astype('datetime64')\n",
    "df_Nifty.set_index('Date',inplace = True)\n",
    "df_Nifty_ClsPrc = df_Nifty['Close'].pct_change()*100\n",
    "vol2 = df_Nifty_ClsPrc.rolling(7).std() * np.sqrt(7)\n",
    "plt.figure()\n",
    "vol2.plot(label = \"Nifty\")\n",
    "vol.plot(label = \"Fortis\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Day21_avg = df2['Average Price'].rolling(21).mean()\n",
    "Day34_avg = df2['Average Price'].rolling(34).mean()\n",
    "Day21_avg.dropna()\n",
    "Day34_avg.dropna()\n",
    "plt.figure()\n",
    "Day21_avg.plot(label =\"21 Day\")\n",
    "Day21_avg.plot(label =\"34 Day\")\n",
    "plt.xlabel(\"Dates\")\n",
    "plt.ylabel(\"Moving Average of Average Price\")\n",
    "plt.title(\"Call Deciding for Fortis Shares\")\n",
    "plt.grid(True)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "buying call on dates : 26-07-2017,17-12-2017,3-7-2018,2-5-2018,24-7-2018,10-11-2018,11-3-2019\n",
      "selling call on dates :10-10-2017,2-2-2018,4-4-2018,28-5-2018,23-9-2019,26-12-2018\n",
      "Therefore the last call that should be made is to buy more stocks\n"
     ]
    }
   ],
   "source": [
    "print(\"buying call on dates : 26-07-2017,17-12-2017,3-7-2018,2-5-2018,24-7-2018,10-11-2018,11-3-2019\")\n",
    "print(\"selling call on dates :10-10-2017,2-2-2018,4-4-2018,28-5-2018,23-9-2019,26-12-2018\")\n",
    "print(\"Therefore the last call that should be made is to buy more stocks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v = df2['Close Price'].rolling(14).mean()\n",
    "vu = v + 2*df2['Close Price'].rolling(14).std()\n",
    "v1 =  v - 2*df2['Close Price'].rolling(14).std()\n",
    "plt.figure()\n",
    "plt.title(\"Bollinger Bands of Fortis\")\n",
    "plt.ylabel(\"Prices\")\n",
    "vu.plot(label = \"+2 Std Dev\",alpha =0.7)\n",
    "v.plot(label = 'Average',alpha =0.7)\n",
    "vu.plot(label = \"-2 Std Dev\",alpha =0.7)\n",
    "df2['Average Price'].plot(label = \"Daily Average\",color =\"black\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "export_csv = v.to_csv(r'week2 v.csv',index=None, header=True)\n",
    "export_csv_1 = vu.to_csv(r'week2 vu.csv',index=None, header=True)\n",
    "export_csv_2 = v1.to_csv(r'week2 v1.csv',index=None, header=True)"
   ]
  },
  {
   "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": 2
}