sharpe_ratio.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "# from pandas_datareader import data as wb\n",
    "from datetime import datetime, timedelta\n",
    "import json\n",
    "import requests\n",
    "import random\n",
    "import os\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DXC</th>\n",
       "      <th>BBY</th>\n",
       "      <th>AMG</th>\n",
       "      <th>CNP</th>\n",
       "      <th>WMT</th>\n",
       "      <th>MRK</th>\n",
       "      <th>NEM</th>\n",
       "      <th>VFC</th>\n",
       "      <th>MDT</th>\n",
       "      <th>HST</th>\n",
       "      <th>...</th>\n",
       "      <th>UNH</th>\n",
       "      <th>HSY</th>\n",
       "      <th>FB</th>\n",
       "      <th>EIX</th>\n",
       "      <th>SBUX</th>\n",
       "      <th>MCO</th>\n",
       "      <th>HII</th>\n",
       "      <th>RL</th>\n",
       "      <th>LNT</th>\n",
       "      <th>AXP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2/27/2015</th>\n",
       "      <td>23.867823</td>\n",
       "      <td>33.267136</td>\n",
       "      <td>210.686645</td>\n",
       "      <td>16.888973</td>\n",
       "      <td>74.061958</td>\n",
       "      <td>50.291893</td>\n",
       "      <td>24.401049</td>\n",
       "      <td>63.256672</td>\n",
       "      <td>69.823471</td>\n",
       "      <td>16.707489</td>\n",
       "      <td>...</td>\n",
       "      <td>105.040535</td>\n",
       "      <td>92.339218</td>\n",
       "      <td>78.970001</td>\n",
       "      <td>54.357391</td>\n",
       "      <td>42.782387</td>\n",
       "      <td>91.116180</td>\n",
       "      <td>132.023270</td>\n",
       "      <td>123.606277</td>\n",
       "      <td>27.101852</td>\n",
       "      <td>75.427559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3/31/2015</th>\n",
       "      <td>22.128880</td>\n",
       "      <td>33.179913</td>\n",
       "      <td>209.090057</td>\n",
       "      <td>16.580273</td>\n",
       "      <td>73.015411</td>\n",
       "      <td>49.780846</td>\n",
       "      <td>20.141970</td>\n",
       "      <td>62.421577</td>\n",
       "      <td>70.460373</td>\n",
       "      <td>16.215014</td>\n",
       "      <td>...</td>\n",
       "      <td>109.714111</td>\n",
       "      <td>89.785667</td>\n",
       "      <td>82.220001</td>\n",
       "      <td>53.208439</td>\n",
       "      <td>43.336098</td>\n",
       "      <td>97.564026</td>\n",
       "      <td>131.290314</td>\n",
       "      <td>118.733910</td>\n",
       "      <td>26.846176</td>\n",
       "      <td>72.461044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4/30/2015</th>\n",
       "      <td>21.847523</td>\n",
       "      <td>30.422970</td>\n",
       "      <td>220.139389</td>\n",
       "      <td>17.035191</td>\n",
       "      <td>69.286972</td>\n",
       "      <td>51.582237</td>\n",
       "      <td>24.576731</td>\n",
       "      <td>60.034454</td>\n",
       "      <td>67.262138</td>\n",
       "      <td>16.182875</td>\n",
       "      <td>...</td>\n",
       "      <td>103.323639</td>\n",
       "      <td>81.786682</td>\n",
       "      <td>78.769997</td>\n",
       "      <td>51.905262</td>\n",
       "      <td>45.377064</td>\n",
       "      <td>101.060547</td>\n",
       "      <td>123.271454</td>\n",
       "      <td>120.458458</td>\n",
       "      <td>25.997549</td>\n",
       "      <td>71.839569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5/31/2015</th>\n",
       "      <td>21.847523</td>\n",
       "      <td>30.422970</td>\n",
       "      <td>220.139389</td>\n",
       "      <td>17.035191</td>\n",
       "      <td>69.286972</td>\n",
       "      <td>51.582237</td>\n",
       "      <td>24.576731</td>\n",
       "      <td>60.034454</td>\n",
       "      <td>67.262138</td>\n",
       "      <td>16.182875</td>\n",
       "      <td>...</td>\n",
       "      <td>103.323639</td>\n",
       "      <td>81.786682</td>\n",
       "      <td>78.769997</td>\n",
       "      <td>51.905262</td>\n",
       "      <td>45.377064</td>\n",
       "      <td>101.060547</td>\n",
       "      <td>123.271454</td>\n",
       "      <td>120.458458</td>\n",
       "      <td>25.997549</td>\n",
       "      <td>71.839569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6/30/2015</th>\n",
       "      <td>22.407070</td>\n",
       "      <td>28.825178</td>\n",
       "      <td>212.808884</td>\n",
       "      <td>15.652534</td>\n",
       "      <td>63.363731</td>\n",
       "      <td>49.679543</td>\n",
       "      <td>21.693781</td>\n",
       "      <td>58.084694</td>\n",
       "      <td>67.285637</td>\n",
       "      <td>16.092331</td>\n",
       "      <td>...</td>\n",
       "      <td>113.634422</td>\n",
       "      <td>79.484596</td>\n",
       "      <td>85.769997</td>\n",
       "      <td>47.695503</td>\n",
       "      <td>49.230713</td>\n",
       "      <td>101.788795</td>\n",
       "      <td>105.818543</td>\n",
       "      <td>119.940102</td>\n",
       "      <td>24.815250</td>\n",
       "      <td>72.359734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/31/2015</th>\n",
       "      <td>22.335381</td>\n",
       "      <td>28.542316</td>\n",
       "      <td>202.392349</td>\n",
       "      <td>15.907512</td>\n",
       "      <td>64.301750</td>\n",
       "      <td>51.451008</td>\n",
       "      <td>15.945307</td>\n",
       "      <td>64.206329</td>\n",
       "      <td>71.181107</td>\n",
       "      <td>15.727145</td>\n",
       "      <td>...</td>\n",
       "      <td>113.075554</td>\n",
       "      <td>83.117447</td>\n",
       "      <td>94.010002</td>\n",
       "      <td>51.497070</td>\n",
       "      <td>53.187904</td>\n",
       "      <td>104.117599</td>\n",
       "      <td>110.348679</td>\n",
       "      <td>114.077202</td>\n",
       "      <td>26.687109</td>\n",
       "      <td>70.814239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8/31/2015</th>\n",
       "      <td>21.161091</td>\n",
       "      <td>32.475834</td>\n",
       "      <td>181.500885</td>\n",
       "      <td>15.513625</td>\n",
       "      <td>58.219959</td>\n",
       "      <td>46.991810</td>\n",
       "      <td>15.852435</td>\n",
       "      <td>60.325130</td>\n",
       "      <td>65.642090</td>\n",
       "      <td>14.388148</td>\n",
       "      <td>...</td>\n",
       "      <td>107.766403</td>\n",
       "      <td>80.615135</td>\n",
       "      <td>89.430000</td>\n",
       "      <td>50.184113</td>\n",
       "      <td>50.369987</td>\n",
       "      <td>96.757385</td>\n",
       "      <td>106.214287</td>\n",
       "      <td>100.756577</td>\n",
       "      <td>24.587204</td>\n",
       "      <td>71.428711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9/30/2015</th>\n",
       "      <td>21.115461</td>\n",
       "      <td>33.015205</td>\n",
       "      <td>166.460159</td>\n",
       "      <td>15.030388</td>\n",
       "      <td>58.318901</td>\n",
       "      <td>43.470867</td>\n",
       "      <td>14.947566</td>\n",
       "      <td>57.081448</td>\n",
       "      <td>61.115185</td>\n",
       "      <td>12.989917</td>\n",
       "      <td>...</td>\n",
       "      <td>108.522560</td>\n",
       "      <td>82.740372</td>\n",
       "      <td>89.900002</td>\n",
       "      <td>54.487957</td>\n",
       "      <td>52.331020</td>\n",
       "      <td>92.870461</td>\n",
       "      <td>101.091324</td>\n",
       "      <td>107.559921</td>\n",
       "      <td>25.376841</td>\n",
       "      <td>69.017326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/31/2015</th>\n",
       "      <td>21.115461</td>\n",
       "      <td>33.015205</td>\n",
       "      <td>166.460159</td>\n",
       "      <td>15.030388</td>\n",
       "      <td>58.318901</td>\n",
       "      <td>43.470867</td>\n",
       "      <td>14.947566</td>\n",
       "      <td>57.081448</td>\n",
       "      <td>61.115185</td>\n",
       "      <td>12.989917</td>\n",
       "      <td>...</td>\n",
       "      <td>108.522560</td>\n",
       "      <td>82.740372</td>\n",
       "      <td>89.900002</td>\n",
       "      <td>54.487957</td>\n",
       "      <td>52.331020</td>\n",
       "      <td>92.870461</td>\n",
       "      <td>101.091324</td>\n",
       "      <td>107.559921</td>\n",
       "      <td>25.376841</td>\n",
       "      <td>69.017326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11/30/2015</th>\n",
       "      <td>25.582476</td>\n",
       "      <td>28.265713</td>\n",
       "      <td>172.534851</td>\n",
       "      <td>14.324827</td>\n",
       "      <td>52.922333</td>\n",
       "      <td>46.657028</td>\n",
       "      <td>17.124123</td>\n",
       "      <td>54.144100</td>\n",
       "      <td>68.784248</td>\n",
       "      <td>13.639001</td>\n",
       "      <td>...</td>\n",
       "      <td>105.435532</td>\n",
       "      <td>78.263832</td>\n",
       "      <td>104.239998</td>\n",
       "      <td>51.282780</td>\n",
       "      <td>56.703079</td>\n",
       "      <td>97.852180</td>\n",
       "      <td>123.981049</td>\n",
       "      <td>113.067169</td>\n",
       "      <td>26.354477</td>\n",
       "      <td>66.951530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12/31/2015</th>\n",
       "      <td>26.815847</td>\n",
       "      <td>27.285814</td>\n",
       "      <td>155.527679</td>\n",
       "      <td>15.516447</td>\n",
       "      <td>55.596737</td>\n",
       "      <td>46.891552</td>\n",
       "      <td>16.755075</td>\n",
       "      <td>52.416546</td>\n",
       "      <td>70.576515</td>\n",
       "      <td>12.765546</td>\n",
       "      <td>...</td>\n",
       "      <td>110.522690</td>\n",
       "      <td>80.947891</td>\n",
       "      <td>104.660004</td>\n",
       "      <td>51.562756</td>\n",
       "      <td>55.446911</td>\n",
       "      <td>95.214180</td>\n",
       "      <td>120.126739</td>\n",
       "      <td>101.939995</td>\n",
       "      <td>27.344021</td>\n",
       "      <td>64.998291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/31/2016</th>\n",
       "      <td>26.815847</td>\n",
       "      <td>27.285814</td>\n",
       "      <td>155.527679</td>\n",
       "      <td>15.516447</td>\n",
       "      <td>55.596737</td>\n",
       "      <td>46.891552</td>\n",
       "      <td>16.755075</td>\n",
       "      <td>52.416546</td>\n",
       "      <td>70.576515</td>\n",
       "      <td>12.765546</td>\n",
       "      <td>...</td>\n",
       "      <td>110.522690</td>\n",
       "      <td>80.947891</td>\n",
       "      <td>104.660004</td>\n",
       "      <td>51.562756</td>\n",
       "      <td>55.446911</td>\n",
       "      <td>95.214180</td>\n",
       "      <td>120.126739</td>\n",
       "      <td>101.939995</td>\n",
       "      <td>27.344021</td>\n",
       "      <td>64.998291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2/29/2016</th>\n",
       "      <td>23.640289</td>\n",
       "      <td>29.024221</td>\n",
       "      <td>135.015884</td>\n",
       "      <td>15.966754</td>\n",
       "      <td>60.167824</td>\n",
       "      <td>44.574501</td>\n",
       "      <td>24.056902</td>\n",
       "      <td>54.824753</td>\n",
       "      <td>71.007759</td>\n",
       "      <td>12.740582</td>\n",
       "      <td>...</td>\n",
       "      <td>111.894348</td>\n",
       "      <td>82.952133</td>\n",
       "      <td>106.919998</td>\n",
       "      <td>59.356838</td>\n",
       "      <td>53.941563</td>\n",
       "      <td>84.637756</td>\n",
       "      <td>124.113609</td>\n",
       "      <td>82.993134</td>\n",
       "      <td>30.032972</td>\n",
       "      <td>52.169907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3/31/2016</th>\n",
       "      <td>28.219004</td>\n",
       "      <td>29.314409</td>\n",
       "      <td>158.097717</td>\n",
       "      <td>17.929384</td>\n",
       "      <td>62.577663</td>\n",
       "      <td>47.382389</td>\n",
       "      <td>24.778769</td>\n",
       "      <td>54.855011</td>\n",
       "      <td>69.164337</td>\n",
       "      <td>14.069514</td>\n",
       "      <td>...</td>\n",
       "      <td>121.601227</td>\n",
       "      <td>84.047325</td>\n",
       "      <td>114.099999</td>\n",
       "      <td>63.029285</td>\n",
       "      <td>55.322311</td>\n",
       "      <td>92.034012</td>\n",
       "      <td>130.172043</td>\n",
       "      <td>88.480911</td>\n",
       "      <td>32.830753</td>\n",
       "      <td>57.632820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4/30/2016</th>\n",
       "      <td>28.219004</td>\n",
       "      <td>29.314409</td>\n",
       "      <td>158.097717</td>\n",
       "      <td>17.929384</td>\n",
       "      <td>62.577663</td>\n",
       "      <td>47.382389</td>\n",
       "      <td>24.778769</td>\n",
       "      <td>54.855011</td>\n",
       "      <td>69.164337</td>\n",
       "      <td>14.069514</td>\n",
       "      <td>...</td>\n",
       "      <td>121.601227</td>\n",
       "      <td>84.047325</td>\n",
       "      <td>114.099999</td>\n",
       "      <td>63.029285</td>\n",
       "      <td>55.322311</td>\n",
       "      <td>92.034012</td>\n",
       "      <td>130.172043</td>\n",
       "      <td>88.480911</td>\n",
       "      <td>32.830753</td>\n",
       "      <td>57.632820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5/31/2016</th>\n",
       "      <td>40.562363</td>\n",
       "      <td>29.070423</td>\n",
       "      <td>168.923142</td>\n",
       "      <td>19.537806</td>\n",
       "      <td>65.143456</td>\n",
       "      <td>50.382408</td>\n",
       "      <td>30.213682</td>\n",
       "      <td>52.788200</td>\n",
       "      <td>74.217926</td>\n",
       "      <td>12.974280</td>\n",
       "      <td>...</td>\n",
       "      <td>126.101135</td>\n",
       "      <td>85.288765</td>\n",
       "      <td>118.809998</td>\n",
       "      <td>62.801308</td>\n",
       "      <td>51.042995</td>\n",
       "      <td>94.389252</td>\n",
       "      <td>146.310715</td>\n",
       "      <td>86.706879</td>\n",
       "      <td>33.032482</td>\n",
       "      <td>62.024155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6/30/2016</th>\n",
       "      <td>41.059937</td>\n",
       "      <td>27.911333</td>\n",
       "      <td>137.040772</td>\n",
       "      <td>20.812576</td>\n",
       "      <td>67.205070</td>\n",
       "      <td>52.012524</td>\n",
       "      <td>36.494720</td>\n",
       "      <td>52.412842</td>\n",
       "      <td>80.018494</td>\n",
       "      <td>13.843898</td>\n",
       "      <td>...</td>\n",
       "      <td>133.811340</td>\n",
       "      <td>104.247917</td>\n",
       "      <td>114.279999</td>\n",
       "      <td>68.527138</td>\n",
       "      <td>53.116703</td>\n",
       "      <td>89.671700</td>\n",
       "      <td>160.254120</td>\n",
       "      <td>82.848854</td>\n",
       "      <td>35.395138</td>\n",
       "      <td>57.596676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/31/2016</th>\n",
       "      <td>41.059937</td>\n",
       "      <td>27.911333</td>\n",
       "      <td>137.040772</td>\n",
       "      <td>20.812576</td>\n",
       "      <td>67.205070</td>\n",
       "      <td>52.012524</td>\n",
       "      <td>36.494720</td>\n",
       "      <td>52.412842</td>\n",
       "      <td>80.018494</td>\n",
       "      <td>13.843898</td>\n",
       "      <td>...</td>\n",
       "      <td>133.811340</td>\n",
       "      <td>104.247917</td>\n",
       "      <td>114.279999</td>\n",
       "      <td>68.527138</td>\n",
       "      <td>53.116703</td>\n",
       "      <td>89.671700</td>\n",
       "      <td>160.254120</td>\n",
       "      <td>82.848854</td>\n",
       "      <td>35.395138</td>\n",
       "      <td>57.596676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8/31/2016</th>\n",
       "      <td>39.038528</td>\n",
       "      <td>35.098957</td>\n",
       "      <td>138.286850</td>\n",
       "      <td>19.709345</td>\n",
       "      <td>66.201012</td>\n",
       "      <td>56.689236</td>\n",
       "      <td>35.673771</td>\n",
       "      <td>52.890171</td>\n",
       "      <td>80.656677</td>\n",
       "      <td>15.218894</td>\n",
       "      <td>...</td>\n",
       "      <td>128.930832</td>\n",
       "      <td>92.256035</td>\n",
       "      <td>126.120003</td>\n",
       "      <td>64.159828</td>\n",
       "      <td>52.471176</td>\n",
       "      <td>104.376976</td>\n",
       "      <td>157.998459</td>\n",
       "      <td>95.791069</td>\n",
       "      <td>34.084858</td>\n",
       "      <td>62.165730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9/30/2016</th>\n",
       "      <td>43.329113</td>\n",
       "      <td>35.084381</td>\n",
       "      <td>140.866623</td>\n",
       "      <td>20.375975</td>\n",
       "      <td>66.831146</td>\n",
       "      <td>56.759338</td>\n",
       "      <td>36.676029</td>\n",
       "      <td>48.092011</td>\n",
       "      <td>80.472588</td>\n",
       "      <td>13.468453</td>\n",
       "      <td>...</td>\n",
       "      <td>133.286789</td>\n",
       "      <td>88.293922</td>\n",
       "      <td>128.270004</td>\n",
       "      <td>64.159981</td>\n",
       "      <td>50.520889</td>\n",
       "      <td>103.983254</td>\n",
       "      <td>146.758621</td>\n",
       "      <td>93.978600</td>\n",
       "      <td>34.408192</td>\n",
       "      <td>60.705921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/31/2016</th>\n",
       "      <td>45.188084</td>\n",
       "      <td>35.755188</td>\n",
       "      <td>129.145615</td>\n",
       "      <td>19.998808</td>\n",
       "      <td>64.885139</td>\n",
       "      <td>53.403435</td>\n",
       "      <td>34.575726</td>\n",
       "      <td>46.513248</td>\n",
       "      <td>76.393074</td>\n",
       "      <td>13.390602</td>\n",
       "      <td>...</td>\n",
       "      <td>134.553009</td>\n",
       "      <td>94.629646</td>\n",
       "      <td>130.990005</td>\n",
       "      <td>65.252251</td>\n",
       "      <td>49.522415</td>\n",
       "      <td>96.531174</td>\n",
       "      <td>154.353867</td>\n",
       "      <td>91.153854</td>\n",
       "      <td>34.444859</td>\n",
       "      <td>63.278843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11/30/2016</th>\n",
       "      <td>50.316864</td>\n",
       "      <td>41.994656</td>\n",
       "      <td>144.176559</td>\n",
       "      <td>21.166372</td>\n",
       "      <td>65.265091</td>\n",
       "      <td>55.649796</td>\n",
       "      <td>30.281761</td>\n",
       "      <td>46.770664</td>\n",
       "      <td>68.001205</td>\n",
       "      <td>15.432062</td>\n",
       "      <td>...</td>\n",
       "      <td>151.328476</td>\n",
       "      <td>89.817619</td>\n",
       "      <td>118.419998</td>\n",
       "      <td>61.069637</td>\n",
       "      <td>54.345436</td>\n",
       "      <td>96.875198</td>\n",
       "      <td>171.582657</td>\n",
       "      <td>97.202904</td>\n",
       "      <td>32.516678</td>\n",
       "      <td>68.633064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12/31/2016</th>\n",
       "      <td>50.316864</td>\n",
       "      <td>41.994656</td>\n",
       "      <td>144.176559</td>\n",
       "      <td>21.166372</td>\n",
       "      <td>65.265091</td>\n",
       "      <td>55.649796</td>\n",
       "      <td>30.281761</td>\n",
       "      <td>46.770664</td>\n",
       "      <td>68.001205</td>\n",
       "      <td>15.432062</td>\n",
       "      <td>...</td>\n",
       "      <td>151.328476</td>\n",
       "      <td>89.817619</td>\n",
       "      <td>118.419998</td>\n",
       "      <td>61.069637</td>\n",
       "      <td>54.345436</td>\n",
       "      <td>96.875198</td>\n",
       "      <td>171.582657</td>\n",
       "      <td>97.202904</td>\n",
       "      <td>32.516678</td>\n",
       "      <td>68.633064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/31/2017</th>\n",
       "      <td>51.760056</td>\n",
       "      <td>41.156464</td>\n",
       "      <td>148.323700</td>\n",
       "      <td>23.251072</td>\n",
       "      <td>62.288307</td>\n",
       "      <td>56.809978</td>\n",
       "      <td>33.916935</td>\n",
       "      <td>44.521397</td>\n",
       "      <td>71.227501</td>\n",
       "      <td>15.839879</td>\n",
       "      <td>...</td>\n",
       "      <td>154.941559</td>\n",
       "      <td>98.024269</td>\n",
       "      <td>130.320007</td>\n",
       "      <td>65.211189</td>\n",
       "      <td>51.767387</td>\n",
       "      <td>99.930870</td>\n",
       "      <td>186.172348</td>\n",
       "      <td>82.627090</td>\n",
       "      <td>34.375820</td>\n",
       "      <td>73.078163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2/28/2017</th>\n",
       "      <td>57.052559</td>\n",
       "      <td>40.795933</td>\n",
       "      <td>163.688858</td>\n",
       "      <td>24.481310</td>\n",
       "      <td>66.198830</td>\n",
       "      <td>60.365757</td>\n",
       "      <td>32.009811</td>\n",
       "      <td>45.360283</td>\n",
       "      <td>75.809235</td>\n",
       "      <td>15.769750</td>\n",
       "      <td>...</td>\n",
       "      <td>158.076721</td>\n",
       "      <td>101.277916</td>\n",
       "      <td>135.539993</td>\n",
       "      <td>71.349335</td>\n",
       "      <td>53.554459</td>\n",
       "      <td>108.101776</td>\n",
       "      <td>209.727035</td>\n",
       "      <td>74.124245</td>\n",
       "      <td>36.046673</td>\n",
       "      <td>76.599075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3/31/2017</th>\n",
       "      <td>57.564354</td>\n",
       "      <td>45.776936</td>\n",
       "      <td>159.799652</td>\n",
       "      <td>24.705330</td>\n",
       "      <td>67.766777</td>\n",
       "      <td>58.650665</td>\n",
       "      <td>30.859922</td>\n",
       "      <td>47.946079</td>\n",
       "      <td>75.883514</td>\n",
       "      <td>16.539112</td>\n",
       "      <td>...</td>\n",
       "      <td>157.351578</td>\n",
       "      <td>102.119156</td>\n",
       "      <td>142.050003</td>\n",
       "      <td>71.713928</td>\n",
       "      <td>54.985832</td>\n",
       "      <td>108.752106</td>\n",
       "      <td>192.729462</td>\n",
       "      <td>76.733871</td>\n",
       "      <td>36.165375</td>\n",
       "      <td>75.690155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4/30/2017</th>\n",
       "      <td>57.564354</td>\n",
       "      <td>45.776936</td>\n",
       "      <td>159.799652</td>\n",
       "      <td>24.705330</td>\n",
       "      <td>67.766777</td>\n",
       "      <td>58.650665</td>\n",
       "      <td>30.859922</td>\n",
       "      <td>47.946079</td>\n",
       "      <td>75.883514</td>\n",
       "      <td>16.539112</td>\n",
       "      <td>...</td>\n",
       "      <td>157.351578</td>\n",
       "      <td>102.119156</td>\n",
       "      <td>142.050003</td>\n",
       "      <td>71.713928</td>\n",
       "      <td>54.985832</td>\n",
       "      <td>108.752106</td>\n",
       "      <td>192.729462</td>\n",
       "      <td>76.733871</td>\n",
       "      <td>36.165375</td>\n",
       "      <td>75.690155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5/31/2017</th>\n",
       "      <td>64.662933</td>\n",
       "      <td>55.314182</td>\n",
       "      <td>150.159454</td>\n",
       "      <td>25.889845</td>\n",
       "      <td>74.391129</td>\n",
       "      <td>60.099854</td>\n",
       "      <td>31.974108</td>\n",
       "      <td>46.925579</td>\n",
       "      <td>79.387589</td>\n",
       "      <td>15.945264</td>\n",
       "      <td>...</td>\n",
       "      <td>168.068070</td>\n",
       "      <td>108.339951</td>\n",
       "      <td>151.460007</td>\n",
       "      <td>73.479530</td>\n",
       "      <td>60.148254</td>\n",
       "      <td>115.362129</td>\n",
       "      <td>189.044250</td>\n",
       "      <td>63.741196</td>\n",
       "      <td>38.164089</td>\n",
       "      <td>73.916206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6/30/2017</th>\n",
       "      <td>64.170967</td>\n",
       "      <td>53.715290</td>\n",
       "      <td>161.881348</td>\n",
       "      <td>24.776787</td>\n",
       "      <td>71.627495</td>\n",
       "      <td>59.593323</td>\n",
       "      <td>30.371120</td>\n",
       "      <td>50.660656</td>\n",
       "      <td>83.598106</td>\n",
       "      <td>16.367468</td>\n",
       "      <td>...</td>\n",
       "      <td>178.626968</td>\n",
       "      <td>100.914902</td>\n",
       "      <td>150.979996</td>\n",
       "      <td>70.921417</td>\n",
       "      <td>55.136703</td>\n",
       "      <td>118.507919</td>\n",
       "      <td>179.727646</td>\n",
       "      <td>69.861298</td>\n",
       "      <td>36.967716</td>\n",
       "      <td>80.929298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/31/2017</th>\n",
       "      <td>65.559441</td>\n",
       "      <td>54.661610</td>\n",
       "      <td>181.372315</td>\n",
       "      <td>25.509777</td>\n",
       "      <td>75.706703</td>\n",
       "      <td>59.398060</td>\n",
       "      <td>34.853180</td>\n",
       "      <td>54.697674</td>\n",
       "      <td>79.507401</td>\n",
       "      <td>16.716854</td>\n",
       "      <td>...</td>\n",
       "      <td>184.782883</td>\n",
       "      <td>98.978752</td>\n",
       "      <td>169.250000</td>\n",
       "      <td>71.365868</td>\n",
       "      <td>51.042339</td>\n",
       "      <td>128.198517</td>\n",
       "      <td>198.988327</td>\n",
       "      <td>71.612564</td>\n",
       "      <td>37.588726</td>\n",
       "      <td>82.189453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8/31/2017</th>\n",
       "      <td>71.096611</td>\n",
       "      <td>50.838856</td>\n",
       "      <td>172.642731</td>\n",
       "      <td>27.054935</td>\n",
       "      <td>74.354294</td>\n",
       "      <td>59.379459</td>\n",
       "      <td>35.950256</td>\n",
       "      <td>55.295757</td>\n",
       "      <td>76.335442</td>\n",
       "      <td>16.233086</td>\n",
       "      <td>...</td>\n",
       "      <td>191.613144</td>\n",
       "      <td>99.216187</td>\n",
       "      <td>171.970001</td>\n",
       "      <td>73.218330</td>\n",
       "      <td>52.108620</td>\n",
       "      <td>130.917969</td>\n",
       "      <td>207.165482</td>\n",
       "      <td>83.199310</td>\n",
       "      <td>39.638351</td>\n",
       "      <td>83.028412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9/30/2017</th>\n",
       "      <td>71.096611</td>\n",
       "      <td>50.838856</td>\n",
       "      <td>172.642731</td>\n",
       "      <td>27.054935</td>\n",
       "      <td>74.354294</td>\n",
       "      <td>59.379459</td>\n",
       "      <td>35.950256</td>\n",
       "      <td>55.295757</td>\n",
       "      <td>76.335442</td>\n",
       "      <td>16.233086</td>\n",
       "      <td>...</td>\n",
       "      <td>191.613144</td>\n",
       "      <td>99.216187</td>\n",
       "      <td>171.970001</td>\n",
       "      <td>73.218330</td>\n",
       "      <td>52.108620</td>\n",
       "      <td>130.917969</td>\n",
       "      <td>207.165482</td>\n",
       "      <td>83.199310</td>\n",
       "      <td>39.638351</td>\n",
       "      <td>83.028412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/31/2017</th>\n",
       "      <td>76.737999</td>\n",
       "      <td>52.756458</td>\n",
       "      <td>182.228027</td>\n",
       "      <td>27.018394</td>\n",
       "      <td>83.154503</td>\n",
       "      <td>51.595291</td>\n",
       "      <td>33.972576</td>\n",
       "      <td>62.126492</td>\n",
       "      <td>76.693970</td>\n",
       "      <td>17.714226</td>\n",
       "      <td>...</td>\n",
       "      <td>203.286987</td>\n",
       "      <td>100.407692</td>\n",
       "      <td>180.059998</td>\n",
       "      <td>73.519112</td>\n",
       "      <td>52.089626</td>\n",
       "      <td>139.103470</td>\n",
       "      <td>225.436218</td>\n",
       "      <td>85.134346</td>\n",
       "      <td>40.411568</td>\n",
       "      <td>92.467964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11/30/2017</th>\n",
       "      <td>80.611801</td>\n",
       "      <td>56.177425</td>\n",
       "      <td>194.328720</td>\n",
       "      <td>27.658188</td>\n",
       "      <td>92.602386</td>\n",
       "      <td>51.763878</td>\n",
       "      <td>34.752365</td>\n",
       "      <td>65.078949</td>\n",
       "      <td>78.227470</td>\n",
       "      <td>17.922523</td>\n",
       "      <td>...</td>\n",
       "      <td>221.389969</td>\n",
       "      <td>105.528229</td>\n",
       "      <td>177.179993</td>\n",
       "      <td>74.732925</td>\n",
       "      <td>55.211117</td>\n",
       "      <td>148.679840</td>\n",
       "      <td>234.709640</td>\n",
       "      <td>90.579590</td>\n",
       "      <td>42.139767</td>\n",
       "      <td>94.587990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12/31/2017</th>\n",
       "      <td>80.611801</td>\n",
       "      <td>56.177425</td>\n",
       "      <td>194.328720</td>\n",
       "      <td>27.658188</td>\n",
       "      <td>92.602386</td>\n",
       "      <td>51.763878</td>\n",
       "      <td>34.752365</td>\n",
       "      <td>65.078949</td>\n",
       "      <td>78.227470</td>\n",
       "      <td>17.922523</td>\n",
       "      <td>...</td>\n",
       "      <td>221.389969</td>\n",
       "      <td>105.528229</td>\n",
       "      <td>177.179993</td>\n",
       "      <td>74.732925</td>\n",
       "      <td>55.211117</td>\n",
       "      <td>148.679840</td>\n",
       "      <td>234.709640</td>\n",
       "      <td>90.579590</td>\n",
       "      <td>42.139767</td>\n",
       "      <td>94.587990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/31/2018</th>\n",
       "      <td>83.657753</td>\n",
       "      <td>69.232704</td>\n",
       "      <td>195.267731</td>\n",
       "      <td>25.971605</td>\n",
       "      <td>102.061478</td>\n",
       "      <td>55.963413</td>\n",
       "      <td>38.139263</td>\n",
       "      <td>72.872009</td>\n",
       "      <td>82.271690</td>\n",
       "      <td>18.989470</td>\n",
       "      <td>...</td>\n",
       "      <td>229.744095</td>\n",
       "      <td>104.957459</td>\n",
       "      <td>186.889999</td>\n",
       "      <td>58.045616</td>\n",
       "      <td>54.246693</td>\n",
       "      <td>158.443603</td>\n",
       "      <td>230.698532</td>\n",
       "      <td>109.348480</td>\n",
       "      <td>37.450371</td>\n",
       "      <td>96.563484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2/28/2018</th>\n",
       "      <td>86.170441</td>\n",
       "      <td>68.645195</td>\n",
       "      <td>185.514008</td>\n",
       "      <td>25.191294</td>\n",
       "      <td>86.177803</td>\n",
       "      <td>51.212421</td>\n",
       "      <td>35.964447</td>\n",
       "      <td>66.971481</td>\n",
       "      <td>76.524460</td>\n",
       "      <td>16.977100</td>\n",
       "      <td>...</td>\n",
       "      <td>219.439697</td>\n",
       "      <td>94.105843</td>\n",
       "      <td>178.320007</td>\n",
       "      <td>56.244740</td>\n",
       "      <td>54.819340</td>\n",
       "      <td>163.860092</td>\n",
       "      <td>255.141953</td>\n",
       "      <td>101.246101</td>\n",
       "      <td>36.414009</td>\n",
       "      <td>94.727425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3/31/2018</th>\n",
       "      <td>86.170441</td>\n",
       "      <td>68.645195</td>\n",
       "      <td>185.514008</td>\n",
       "      <td>25.191294</td>\n",
       "      <td>86.177803</td>\n",
       "      <td>51.212421</td>\n",
       "      <td>35.964447</td>\n",
       "      <td>66.971481</td>\n",
       "      <td>76.524460</td>\n",
       "      <td>16.977100</td>\n",
       "      <td>...</td>\n",
       "      <td>219.439697</td>\n",
       "      <td>94.105843</td>\n",
       "      <td>178.320007</td>\n",
       "      <td>56.244740</td>\n",
       "      <td>54.819340</td>\n",
       "      <td>163.860092</td>\n",
       "      <td>255.141953</td>\n",
       "      <td>101.246101</td>\n",
       "      <td>36.414009</td>\n",
       "      <td>94.727425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4/30/2018</th>\n",
       "      <td>86.781143</td>\n",
       "      <td>72.989883</td>\n",
       "      <td>161.511597</td>\n",
       "      <td>23.589479</td>\n",
       "      <td>85.198738</td>\n",
       "      <td>56.090736</td>\n",
       "      <td>37.124443</td>\n",
       "      <td>73.115486</td>\n",
       "      <td>77.198006</td>\n",
       "      <td>18.089184</td>\n",
       "      <td>...</td>\n",
       "      <td>230.134857</td>\n",
       "      <td>88.053032</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>61.409504</td>\n",
       "      <td>55.270565</td>\n",
       "      <td>159.264770</td>\n",
       "      <td>236.834793</td>\n",
       "      <td>105.563690</td>\n",
       "      <td>40.784012</td>\n",
       "      <td>96.292183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5/31/2018</th>\n",
       "      <td>77.560753</td>\n",
       "      <td>65.092903</td>\n",
       "      <td>156.312515</td>\n",
       "      <td>24.596424</td>\n",
       "      <td>79.997818</td>\n",
       "      <td>56.719578</td>\n",
       "      <td>36.784283</td>\n",
       "      <td>73.377670</td>\n",
       "      <td>83.161514</td>\n",
       "      <td>20.003532</td>\n",
       "      <td>...</td>\n",
       "      <td>235.109436</td>\n",
       "      <td>86.851974</td>\n",
       "      <td>191.779999</td>\n",
       "      <td>58.260304</td>\n",
       "      <td>54.691010</td>\n",
       "      <td>167.914017</td>\n",
       "      <td>215.974136</td>\n",
       "      <td>129.328735</td>\n",
       "      <td>39.331177</td>\n",
       "      <td>95.853394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6/30/2018</th>\n",
       "      <td>77.560753</td>\n",
       "      <td>65.092903</td>\n",
       "      <td>156.312515</td>\n",
       "      <td>24.596424</td>\n",
       "      <td>79.997818</td>\n",
       "      <td>56.719578</td>\n",
       "      <td>36.784283</td>\n",
       "      <td>73.377670</td>\n",
       "      <td>83.161514</td>\n",
       "      <td>20.003532</td>\n",
       "      <td>...</td>\n",
       "      <td>235.109436</td>\n",
       "      <td>86.851974</td>\n",
       "      <td>191.779999</td>\n",
       "      <td>58.260304</td>\n",
       "      <td>54.691010</td>\n",
       "      <td>167.914017</td>\n",
       "      <td>215.974136</td>\n",
       "      <td>129.328735</td>\n",
       "      <td>39.331177</td>\n",
       "      <td>95.853394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/31/2018</th>\n",
       "      <td>82.672607</td>\n",
       "      <td>71.996803</td>\n",
       "      <td>157.048645</td>\n",
       "      <td>26.808502</td>\n",
       "      <td>86.481773</td>\n",
       "      <td>63.245296</td>\n",
       "      <td>34.784622</td>\n",
       "      <td>83.727707</td>\n",
       "      <td>87.436928</td>\n",
       "      <td>19.551176</td>\n",
       "      <td>...</td>\n",
       "      <td>247.381073</td>\n",
       "      <td>94.732704</td>\n",
       "      <td>172.580002</td>\n",
       "      <td>63.050781</td>\n",
       "      <td>50.560478</td>\n",
       "      <td>168.455444</td>\n",
       "      <td>227.677994</td>\n",
       "      <td>130.355804</td>\n",
       "      <td>41.123840</td>\n",
       "      <td>97.391411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8/31/2018</th>\n",
       "      <td>88.867668</td>\n",
       "      <td>76.343651</td>\n",
       "      <td>143.663376</td>\n",
       "      <td>26.419628</td>\n",
       "      <td>93.447189</td>\n",
       "      <td>65.856911</td>\n",
       "      <td>29.426577</td>\n",
       "      <td>83.782280</td>\n",
       "      <td>93.425613</td>\n",
       "      <td>20.102041</td>\n",
       "      <td>...</td>\n",
       "      <td>262.269653</td>\n",
       "      <td>97.664635</td>\n",
       "      <td>175.729996</td>\n",
       "      <td>62.199135</td>\n",
       "      <td>51.942581</td>\n",
       "      <td>175.698608</td>\n",
       "      <td>239.533402</td>\n",
       "      <td>128.260132</td>\n",
       "      <td>40.999428</td>\n",
       "      <td>103.713257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9/30/2018</th>\n",
       "      <td>88.867668</td>\n",
       "      <td>76.343651</td>\n",
       "      <td>143.663376</td>\n",
       "      <td>26.419628</td>\n",
       "      <td>93.447189</td>\n",
       "      <td>65.856911</td>\n",
       "      <td>29.426577</td>\n",
       "      <td>83.782280</td>\n",
       "      <td>93.425613</td>\n",
       "      <td>20.102041</td>\n",
       "      <td>...</td>\n",
       "      <td>262.269653</td>\n",
       "      <td>97.664635</td>\n",
       "      <td>175.729996</td>\n",
       "      <td>62.199135</td>\n",
       "      <td>51.942581</td>\n",
       "      <td>175.698608</td>\n",
       "      <td>239.533402</td>\n",
       "      <td>128.260132</td>\n",
       "      <td>40.999428</td>\n",
       "      <td>103.713257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/31/2018</th>\n",
       "      <td>71.201675</td>\n",
       "      <td>67.712379</td>\n",
       "      <td>111.772079</td>\n",
       "      <td>25.678089</td>\n",
       "      <td>97.755928</td>\n",
       "      <td>71.159119</td>\n",
       "      <td>29.461466</td>\n",
       "      <td>75.775894</td>\n",
       "      <td>87.480675</td>\n",
       "      <td>18.013945</td>\n",
       "      <td>...</td>\n",
       "      <td>256.185089</td>\n",
       "      <td>104.106316</td>\n",
       "      <td>151.789993</td>\n",
       "      <td>66.262566</td>\n",
       "      <td>56.626644</td>\n",
       "      <td>143.582916</td>\n",
       "      <td>214.068207</td>\n",
       "      <td>125.741570</td>\n",
       "      <td>41.451687</td>\n",
       "      <td>100.895607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11/30/2018</th>\n",
       "      <td>61.630566</td>\n",
       "      <td>62.336689</td>\n",
       "      <td>109.558441</td>\n",
       "      <td>26.893230</td>\n",
       "      <td>95.192131</td>\n",
       "      <td>76.698326</td>\n",
       "      <td>30.814484</td>\n",
       "      <td>74.322197</td>\n",
       "      <td>94.989876</td>\n",
       "      <td>17.910254</td>\n",
       "      <td>...</td>\n",
       "      <td>276.680908</td>\n",
       "      <td>105.929520</td>\n",
       "      <td>140.610001</td>\n",
       "      <td>52.826702</td>\n",
       "      <td>65.186462</td>\n",
       "      <td>157.463242</td>\n",
       "      <td>212.000534</td>\n",
       "      <td>108.075081</td>\n",
       "      <td>43.775990</td>\n",
       "      <td>110.265244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12/31/2018</th>\n",
       "      <td>52.137238</td>\n",
       "      <td>51.494934</td>\n",
       "      <td>96.070694</td>\n",
       "      <td>27.104460</td>\n",
       "      <td>91.300919</td>\n",
       "      <td>74.383682</td>\n",
       "      <td>33.290813</td>\n",
       "      <td>65.669937</td>\n",
       "      <td>89.093422</td>\n",
       "      <td>15.902760</td>\n",
       "      <td>...</td>\n",
       "      <td>244.977097</td>\n",
       "      <td>104.834038</td>\n",
       "      <td>131.089996</td>\n",
       "      <td>54.800213</td>\n",
       "      <td>62.919781</td>\n",
       "      <td>138.625458</td>\n",
       "      <td>187.219574</td>\n",
       "      <td>100.991310</td>\n",
       "      <td>40.747639</td>\n",
       "      <td>93.617920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/31/2019</th>\n",
       "      <td>62.874554</td>\n",
       "      <td>57.601208</td>\n",
       "      <td>103.475143</td>\n",
       "      <td>29.687208</td>\n",
       "      <td>93.927734</td>\n",
       "      <td>72.456200</td>\n",
       "      <td>32.771988</td>\n",
       "      <td>77.480217</td>\n",
       "      <td>86.576164</td>\n",
       "      <td>17.228785</td>\n",
       "      <td>...</td>\n",
       "      <td>265.706543</td>\n",
       "      <td>103.777664</td>\n",
       "      <td>166.690002</td>\n",
       "      <td>54.993275</td>\n",
       "      <td>66.573822</td>\n",
       "      <td>156.908905</td>\n",
       "      <td>203.097473</td>\n",
       "      <td>113.368751</td>\n",
       "      <td>43.245396</td>\n",
       "      <td>101.278946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2/28/2019</th>\n",
       "      <td>64.580742</td>\n",
       "      <td>66.935638</td>\n",
       "      <td>108.396370</td>\n",
       "      <td>29.207359</td>\n",
       "      <td>97.024994</td>\n",
       "      <td>79.134270</td>\n",
       "      <td>32.781593</td>\n",
       "      <td>80.416672</td>\n",
       "      <td>88.642868</td>\n",
       "      <td>18.707445</td>\n",
       "      <td>...</td>\n",
       "      <td>238.191849</td>\n",
       "      <td>108.968254</td>\n",
       "      <td>161.449997</td>\n",
       "      <td>57.811955</td>\n",
       "      <td>69.003349</td>\n",
       "      <td>171.875061</td>\n",
       "      <td>206.814835</td>\n",
       "      <td>122.183273</td>\n",
       "      <td>44.606846</td>\n",
       "      <td>106.249206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3/31/2019</th>\n",
       "      <td>64.580742</td>\n",
       "      <td>66.935638</td>\n",
       "      <td>108.396370</td>\n",
       "      <td>29.207359</td>\n",
       "      <td>97.024994</td>\n",
       "      <td>79.134270</td>\n",
       "      <td>32.781593</td>\n",
       "      <td>80.416672</td>\n",
       "      <td>88.642868</td>\n",
       "      <td>18.707445</td>\n",
       "      <td>...</td>\n",
       "      <td>238.191849</td>\n",
       "      <td>108.968254</td>\n",
       "      <td>161.449997</td>\n",
       "      <td>57.811955</td>\n",
       "      <td>69.003349</td>\n",
       "      <td>171.875061</td>\n",
       "      <td>206.814835</td>\n",
       "      <td>122.183273</td>\n",
       "      <td>44.606846</td>\n",
       "      <td>106.249206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4/30/2019</th>\n",
       "      <td>64.653778</td>\n",
       "      <td>72.870277</td>\n",
       "      <td>109.691856</td>\n",
       "      <td>30.040749</td>\n",
       "      <td>101.340942</td>\n",
       "      <td>77.142639</td>\n",
       "      <td>30.710388</td>\n",
       "      <td>87.461044</td>\n",
       "      <td>87.464340</td>\n",
       "      <td>18.549736</td>\n",
       "      <td>...</td>\n",
       "      <td>230.068802</td>\n",
       "      <td>122.919106</td>\n",
       "      <td>193.399994</td>\n",
       "      <td>62.153934</td>\n",
       "      <td>76.290642</td>\n",
       "      <td>195.206070</td>\n",
       "      <td>219.821610</td>\n",
       "      <td>129.084000</td>\n",
       "      <td>46.279095</td>\n",
       "      <td>116.017158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5/31/2019</th>\n",
       "      <td>46.754498</td>\n",
       "      <td>61.373203</td>\n",
       "      <td>83.183350</td>\n",
       "      <td>27.828625</td>\n",
       "      <td>100.492363</td>\n",
       "      <td>77.632690</td>\n",
       "      <td>32.717537</td>\n",
       "      <td>80.556206</td>\n",
       "      <td>91.177231</td>\n",
       "      <td>17.460276</td>\n",
       "      <td>...</td>\n",
       "      <td>238.686386</td>\n",
       "      <td>130.636734</td>\n",
       "      <td>177.470001</td>\n",
       "      <td>57.865437</td>\n",
       "      <td>75.046150</td>\n",
       "      <td>182.045792</td>\n",
       "      <td>203.410919</td>\n",
       "      <td>103.135735</td>\n",
       "      <td>46.504463</td>\n",
       "      <td>113.523231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6/30/2019</th>\n",
       "      <td>46.754498</td>\n",
       "      <td>61.373203</td>\n",
       "      <td>83.183350</td>\n",
       "      <td>27.828625</td>\n",
       "      <td>100.492363</td>\n",
       "      <td>77.632690</td>\n",
       "      <td>32.717537</td>\n",
       "      <td>80.556206</td>\n",
       "      <td>91.177231</td>\n",
       "      <td>17.460276</td>\n",
       "      <td>...</td>\n",
       "      <td>238.686386</td>\n",
       "      <td>130.636734</td>\n",
       "      <td>177.470001</td>\n",
       "      <td>57.865437</td>\n",
       "      <td>75.046150</td>\n",
       "      <td>182.045792</td>\n",
       "      <td>203.410919</td>\n",
       "      <td>103.135735</td>\n",
       "      <td>46.504463</td>\n",
       "      <td>113.523231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/31/2019</th>\n",
       "      <td>55.096588</td>\n",
       "      <td>75.522736</td>\n",
       "      <td>85.138382</td>\n",
       "      <td>28.386372</td>\n",
       "      <td>109.348846</td>\n",
       "      <td>81.880653</td>\n",
       "      <td>36.256660</td>\n",
       "      <td>86.499443</td>\n",
       "      <td>100.947082</td>\n",
       "      <td>16.956413</td>\n",
       "      <td>...</td>\n",
       "      <td>246.892044</td>\n",
       "      <td>150.218384</td>\n",
       "      <td>194.229996</td>\n",
       "      <td>73.314941</td>\n",
       "      <td>93.427818</td>\n",
       "      <td>213.362274</td>\n",
       "      <td>226.397797</td>\n",
       "      <td>102.866303</td>\n",
       "      <td>48.888660</td>\n",
       "      <td>123.468193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8/31/2019</th>\n",
       "      <td>55.096588</td>\n",
       "      <td>75.522736</td>\n",
       "      <td>85.138382</td>\n",
       "      <td>28.386372</td>\n",
       "      <td>109.348846</td>\n",
       "      <td>81.880653</td>\n",
       "      <td>36.256660</td>\n",
       "      <td>86.499443</td>\n",
       "      <td>100.947082</td>\n",
       "      <td>16.956413</td>\n",
       "      <td>...</td>\n",
       "      <td>246.892044</td>\n",
       "      <td>150.218384</td>\n",
       "      <td>194.229996</td>\n",
       "      <td>73.314941</td>\n",
       "      <td>93.427818</td>\n",
       "      <td>213.362274</td>\n",
       "      <td>226.397797</td>\n",
       "      <td>102.866303</td>\n",
       "      <td>48.888660</td>\n",
       "      <td>123.468193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9/30/2019</th>\n",
       "      <td>29.329197</td>\n",
       "      <td>68.583168</td>\n",
       "      <td>83.044022</td>\n",
       "      <td>29.837587</td>\n",
       "      <td>118.150047</td>\n",
       "      <td>83.606712</td>\n",
       "      <td>37.785187</td>\n",
       "      <td>88.517586</td>\n",
       "      <td>108.104446</td>\n",
       "      <td>17.060812</td>\n",
       "      <td>...</td>\n",
       "      <td>216.487717</td>\n",
       "      <td>154.186569</td>\n",
       "      <td>178.080002</td>\n",
       "      <td>74.780304</td>\n",
       "      <td>87.572060</td>\n",
       "      <td>204.372528</td>\n",
       "      <td>210.915329</td>\n",
       "      <td>94.914963</td>\n",
       "      <td>53.220940</td>\n",
       "      <td>117.422356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/31/2019</th>\n",
       "      <td>27.509792</td>\n",
       "      <td>71.406425</td>\n",
       "      <td>79.586761</td>\n",
       "      <td>28.740181</td>\n",
       "      <td>116.736389</td>\n",
       "      <td>86.069824</td>\n",
       "      <td>39.588757</td>\n",
       "      <td>81.853157</td>\n",
       "      <td>108.383118</td>\n",
       "      <td>16.172741</td>\n",
       "      <td>...</td>\n",
       "      <td>251.732208</td>\n",
       "      <td>146.108658</td>\n",
       "      <td>191.649994</td>\n",
       "      <td>62.366497</td>\n",
       "      <td>83.749084</td>\n",
       "      <td>220.197098</td>\n",
       "      <td>224.728058</td>\n",
       "      <td>95.501526</td>\n",
       "      <td>52.996922</td>\n",
       "      <td>116.874901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11/30/2019</th>\n",
       "      <td>27.509792</td>\n",
       "      <td>71.406425</td>\n",
       "      <td>79.586761</td>\n",
       "      <td>28.740181</td>\n",
       "      <td>116.736389</td>\n",
       "      <td>86.069824</td>\n",
       "      <td>39.588757</td>\n",
       "      <td>81.853157</td>\n",
       "      <td>108.383118</td>\n",
       "      <td>16.172741</td>\n",
       "      <td>...</td>\n",
       "      <td>251.732208</td>\n",
       "      <td>146.108658</td>\n",
       "      <td>191.649994</td>\n",
       "      <td>62.366497</td>\n",
       "      <td>83.749084</td>\n",
       "      <td>220.197098</td>\n",
       "      <td>224.728058</td>\n",
       "      <td>95.501526</td>\n",
       "      <td>52.996922</td>\n",
       "      <td>116.874901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12/31/2019</th>\n",
       "      <td>37.590000</td>\n",
       "      <td>87.800003</td>\n",
       "      <td>84.739998</td>\n",
       "      <td>27.270000</td>\n",
       "      <td>118.839996</td>\n",
       "      <td>90.949997</td>\n",
       "      <td>43.450001</td>\n",
       "      <td>99.660004</td>\n",
       "      <td>113.449997</td>\n",
       "      <td>18.549999</td>\n",
       "      <td>...</td>\n",
       "      <td>293.980011</td>\n",
       "      <td>146.979996</td>\n",
       "      <td>205.250000</td>\n",
       "      <td>75.410004</td>\n",
       "      <td>87.512138</td>\n",
       "      <td>237.410004</td>\n",
       "      <td>250.880005</td>\n",
       "      <td>117.220001</td>\n",
       "      <td>54.368046</td>\n",
       "      <td>124.059998</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>59 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  DXC        BBY         AMG        CNP         WMT  \\\n",
       "Date                                                                  \n",
       "2/27/2015   23.867823  33.267136  210.686645  16.888973   74.061958   \n",
       "3/31/2015   22.128880  33.179913  209.090057  16.580273   73.015411   \n",
       "4/30/2015   21.847523  30.422970  220.139389  17.035191   69.286972   \n",
       "5/31/2015   21.847523  30.422970  220.139389  17.035191   69.286972   \n",
       "6/30/2015   22.407070  28.825178  212.808884  15.652534   63.363731   \n",
       "7/31/2015   22.335381  28.542316  202.392349  15.907512   64.301750   \n",
       "8/31/2015   21.161091  32.475834  181.500885  15.513625   58.219959   \n",
       "9/30/2015   21.115461  33.015205  166.460159  15.030388   58.318901   \n",
       "10/31/2015  21.115461  33.015205  166.460159  15.030388   58.318901   \n",
       "11/30/2015  25.582476  28.265713  172.534851  14.324827   52.922333   \n",
       "12/31/2015  26.815847  27.285814  155.527679  15.516447   55.596737   \n",
       "1/31/2016   26.815847  27.285814  155.527679  15.516447   55.596737   \n",
       "2/29/2016   23.640289  29.024221  135.015884  15.966754   60.167824   \n",
       "3/31/2016   28.219004  29.314409  158.097717  17.929384   62.577663   \n",
       "4/30/2016   28.219004  29.314409  158.097717  17.929384   62.577663   \n",
       "5/31/2016   40.562363  29.070423  168.923142  19.537806   65.143456   \n",
       "6/30/2016   41.059937  27.911333  137.040772  20.812576   67.205070   \n",
       "7/31/2016   41.059937  27.911333  137.040772  20.812576   67.205070   \n",
       "8/31/2016   39.038528  35.098957  138.286850  19.709345   66.201012   \n",
       "9/30/2016   43.329113  35.084381  140.866623  20.375975   66.831146   \n",
       "10/31/2016  45.188084  35.755188  129.145615  19.998808   64.885139   \n",
       "11/30/2016  50.316864  41.994656  144.176559  21.166372   65.265091   \n",
       "12/31/2016  50.316864  41.994656  144.176559  21.166372   65.265091   \n",
       "1/31/2017   51.760056  41.156464  148.323700  23.251072   62.288307   \n",
       "2/28/2017   57.052559  40.795933  163.688858  24.481310   66.198830   \n",
       "3/31/2017   57.564354  45.776936  159.799652  24.705330   67.766777   \n",
       "4/30/2017   57.564354  45.776936  159.799652  24.705330   67.766777   \n",
       "5/31/2017   64.662933  55.314182  150.159454  25.889845   74.391129   \n",
       "6/30/2017   64.170967  53.715290  161.881348  24.776787   71.627495   \n",
       "7/31/2017   65.559441  54.661610  181.372315  25.509777   75.706703   \n",
       "8/31/2017   71.096611  50.838856  172.642731  27.054935   74.354294   \n",
       "9/30/2017   71.096611  50.838856  172.642731  27.054935   74.354294   \n",
       "10/31/2017  76.737999  52.756458  182.228027  27.018394   83.154503   \n",
       "11/30/2017  80.611801  56.177425  194.328720  27.658188   92.602386   \n",
       "12/31/2017  80.611801  56.177425  194.328720  27.658188   92.602386   \n",
       "1/31/2018   83.657753  69.232704  195.267731  25.971605  102.061478   \n",
       "2/28/2018   86.170441  68.645195  185.514008  25.191294   86.177803   \n",
       "3/31/2018   86.170441  68.645195  185.514008  25.191294   86.177803   \n",
       "4/30/2018   86.781143  72.989883  161.511597  23.589479   85.198738   \n",
       "5/31/2018   77.560753  65.092903  156.312515  24.596424   79.997818   \n",
       "6/30/2018   77.560753  65.092903  156.312515  24.596424   79.997818   \n",
       "7/31/2018   82.672607  71.996803  157.048645  26.808502   86.481773   \n",
       "8/31/2018   88.867668  76.343651  143.663376  26.419628   93.447189   \n",
       "9/30/2018   88.867668  76.343651  143.663376  26.419628   93.447189   \n",
       "10/31/2018  71.201675  67.712379  111.772079  25.678089   97.755928   \n",
       "11/30/2018  61.630566  62.336689  109.558441  26.893230   95.192131   \n",
       "12/31/2018  52.137238  51.494934   96.070694  27.104460   91.300919   \n",
       "1/31/2019   62.874554  57.601208  103.475143  29.687208   93.927734   \n",
       "2/28/2019   64.580742  66.935638  108.396370  29.207359   97.024994   \n",
       "3/31/2019   64.580742  66.935638  108.396370  29.207359   97.024994   \n",
       "4/30/2019   64.653778  72.870277  109.691856  30.040749  101.340942   \n",
       "5/31/2019   46.754498  61.373203   83.183350  27.828625  100.492363   \n",
       "6/30/2019   46.754498  61.373203   83.183350  27.828625  100.492363   \n",
       "7/31/2019   55.096588  75.522736   85.138382  28.386372  109.348846   \n",
       "8/31/2019   55.096588  75.522736   85.138382  28.386372  109.348846   \n",
       "9/30/2019   29.329197  68.583168   83.044022  29.837587  118.150047   \n",
       "10/31/2019  27.509792  71.406425   79.586761  28.740181  116.736389   \n",
       "11/30/2019  27.509792  71.406425   79.586761  28.740181  116.736389   \n",
       "12/31/2019  37.590000  87.800003   84.739998  27.270000  118.839996   \n",
       "\n",
       "                  MRK        NEM        VFC         MDT        HST  ...  \\\n",
       "Date                                                                ...   \n",
       "2/27/2015   50.291893  24.401049  63.256672   69.823471  16.707489  ...   \n",
       "3/31/2015   49.780846  20.141970  62.421577   70.460373  16.215014  ...   \n",
       "4/30/2015   51.582237  24.576731  60.034454   67.262138  16.182875  ...   \n",
       "5/31/2015   51.582237  24.576731  60.034454   67.262138  16.182875  ...   \n",
       "6/30/2015   49.679543  21.693781  58.084694   67.285637  16.092331  ...   \n",
       "7/31/2015   51.451008  15.945307  64.206329   71.181107  15.727145  ...   \n",
       "8/31/2015   46.991810  15.852435  60.325130   65.642090  14.388148  ...   \n",
       "9/30/2015   43.470867  14.947566  57.081448   61.115185  12.989917  ...   \n",
       "10/31/2015  43.470867  14.947566  57.081448   61.115185  12.989917  ...   \n",
       "11/30/2015  46.657028  17.124123  54.144100   68.784248  13.639001  ...   \n",
       "12/31/2015  46.891552  16.755075  52.416546   70.576515  12.765546  ...   \n",
       "1/31/2016   46.891552  16.755075  52.416546   70.576515  12.765546  ...   \n",
       "2/29/2016   44.574501  24.056902  54.824753   71.007759  12.740582  ...   \n",
       "3/31/2016   47.382389  24.778769  54.855011   69.164337  14.069514  ...   \n",
       "4/30/2016   47.382389  24.778769  54.855011   69.164337  14.069514  ...   \n",
       "5/31/2016   50.382408  30.213682  52.788200   74.217926  12.974280  ...   \n",
       "6/30/2016   52.012524  36.494720  52.412842   80.018494  13.843898  ...   \n",
       "7/31/2016   52.012524  36.494720  52.412842   80.018494  13.843898  ...   \n",
       "8/31/2016   56.689236  35.673771  52.890171   80.656677  15.218894  ...   \n",
       "9/30/2016   56.759338  36.676029  48.092011   80.472588  13.468453  ...   \n",
       "10/31/2016  53.403435  34.575726  46.513248   76.393074  13.390602  ...   \n",
       "11/30/2016  55.649796  30.281761  46.770664   68.001205  15.432062  ...   \n",
       "12/31/2016  55.649796  30.281761  46.770664   68.001205  15.432062  ...   \n",
       "1/31/2017   56.809978  33.916935  44.521397   71.227501  15.839879  ...   \n",
       "2/28/2017   60.365757  32.009811  45.360283   75.809235  15.769750  ...   \n",
       "3/31/2017   58.650665  30.859922  47.946079   75.883514  16.539112  ...   \n",
       "4/30/2017   58.650665  30.859922  47.946079   75.883514  16.539112  ...   \n",
       "5/31/2017   60.099854  31.974108  46.925579   79.387589  15.945264  ...   \n",
       "6/30/2017   59.593323  30.371120  50.660656   83.598106  16.367468  ...   \n",
       "7/31/2017   59.398060  34.853180  54.697674   79.507401  16.716854  ...   \n",
       "8/31/2017   59.379459  35.950256  55.295757   76.335442  16.233086  ...   \n",
       "9/30/2017   59.379459  35.950256  55.295757   76.335442  16.233086  ...   \n",
       "10/31/2017  51.595291  33.972576  62.126492   76.693970  17.714226  ...   \n",
       "11/30/2017  51.763878  34.752365  65.078949   78.227470  17.922523  ...   \n",
       "12/31/2017  51.763878  34.752365  65.078949   78.227470  17.922523  ...   \n",
       "1/31/2018   55.963413  38.139263  72.872009   82.271690  18.989470  ...   \n",
       "2/28/2018   51.212421  35.964447  66.971481   76.524460  16.977100  ...   \n",
       "3/31/2018   51.212421  35.964447  66.971481   76.524460  16.977100  ...   \n",
       "4/30/2018   56.090736  37.124443  73.115486   77.198006  18.089184  ...   \n",
       "5/31/2018   56.719578  36.784283  73.377670   83.161514  20.003532  ...   \n",
       "6/30/2018   56.719578  36.784283  73.377670   83.161514  20.003532  ...   \n",
       "7/31/2018   63.245296  34.784622  83.727707   87.436928  19.551176  ...   \n",
       "8/31/2018   65.856911  29.426577  83.782280   93.425613  20.102041  ...   \n",
       "9/30/2018   65.856911  29.426577  83.782280   93.425613  20.102041  ...   \n",
       "10/31/2018  71.159119  29.461466  75.775894   87.480675  18.013945  ...   \n",
       "11/30/2018  76.698326  30.814484  74.322197   94.989876  17.910254  ...   \n",
       "12/31/2018  74.383682  33.290813  65.669937   89.093422  15.902760  ...   \n",
       "1/31/2019   72.456200  32.771988  77.480217   86.576164  17.228785  ...   \n",
       "2/28/2019   79.134270  32.781593  80.416672   88.642868  18.707445  ...   \n",
       "3/31/2019   79.134270  32.781593  80.416672   88.642868  18.707445  ...   \n",
       "4/30/2019   77.142639  30.710388  87.461044   87.464340  18.549736  ...   \n",
       "5/31/2019   77.632690  32.717537  80.556206   91.177231  17.460276  ...   \n",
       "6/30/2019   77.632690  32.717537  80.556206   91.177231  17.460276  ...   \n",
       "7/31/2019   81.880653  36.256660  86.499443  100.947082  16.956413  ...   \n",
       "8/31/2019   81.880653  36.256660  86.499443  100.947082  16.956413  ...   \n",
       "9/30/2019   83.606712  37.785187  88.517586  108.104446  17.060812  ...   \n",
       "10/31/2019  86.069824  39.588757  81.853157  108.383118  16.172741  ...   \n",
       "11/30/2019  86.069824  39.588757  81.853157  108.383118  16.172741  ...   \n",
       "12/31/2019  90.949997  43.450001  99.660004  113.449997  18.549999  ...   \n",
       "\n",
       "                   UNH         HSY          FB        EIX       SBUX  \\\n",
       "Date                                                                   \n",
       "2/27/2015   105.040535   92.339218   78.970001  54.357391  42.782387   \n",
       "3/31/2015   109.714111   89.785667   82.220001  53.208439  43.336098   \n",
       "4/30/2015   103.323639   81.786682   78.769997  51.905262  45.377064   \n",
       "5/31/2015   103.323639   81.786682   78.769997  51.905262  45.377064   \n",
       "6/30/2015   113.634422   79.484596   85.769997  47.695503  49.230713   \n",
       "7/31/2015   113.075554   83.117447   94.010002  51.497070  53.187904   \n",
       "8/31/2015   107.766403   80.615135   89.430000  50.184113  50.369987   \n",
       "9/30/2015   108.522560   82.740372   89.900002  54.487957  52.331020   \n",
       "10/31/2015  108.522560   82.740372   89.900002  54.487957  52.331020   \n",
       "11/30/2015  105.435532   78.263832  104.239998  51.282780  56.703079   \n",
       "12/31/2015  110.522690   80.947891  104.660004  51.562756  55.446911   \n",
       "1/31/2016   110.522690   80.947891  104.660004  51.562756  55.446911   \n",
       "2/29/2016   111.894348   82.952133  106.919998  59.356838  53.941563   \n",
       "3/31/2016   121.601227   84.047325  114.099999  63.029285  55.322311   \n",
       "4/30/2016   121.601227   84.047325  114.099999  63.029285  55.322311   \n",
       "5/31/2016   126.101135   85.288765  118.809998  62.801308  51.042995   \n",
       "6/30/2016   133.811340  104.247917  114.279999  68.527138  53.116703   \n",
       "7/31/2016   133.811340  104.247917  114.279999  68.527138  53.116703   \n",
       "8/31/2016   128.930832   92.256035  126.120003  64.159828  52.471176   \n",
       "9/30/2016   133.286789   88.293922  128.270004  64.159981  50.520889   \n",
       "10/31/2016  134.553009   94.629646  130.990005  65.252251  49.522415   \n",
       "11/30/2016  151.328476   89.817619  118.419998  61.069637  54.345436   \n",
       "12/31/2016  151.328476   89.817619  118.419998  61.069637  54.345436   \n",
       "1/31/2017   154.941559   98.024269  130.320007  65.211189  51.767387   \n",
       "2/28/2017   158.076721  101.277916  135.539993  71.349335  53.554459   \n",
       "3/31/2017   157.351578  102.119156  142.050003  71.713928  54.985832   \n",
       "4/30/2017   157.351578  102.119156  142.050003  71.713928  54.985832   \n",
       "5/31/2017   168.068070  108.339951  151.460007  73.479530  60.148254   \n",
       "6/30/2017   178.626968  100.914902  150.979996  70.921417  55.136703   \n",
       "7/31/2017   184.782883   98.978752  169.250000  71.365868  51.042339   \n",
       "8/31/2017   191.613144   99.216187  171.970001  73.218330  52.108620   \n",
       "9/30/2017   191.613144   99.216187  171.970001  73.218330  52.108620   \n",
       "10/31/2017  203.286987  100.407692  180.059998  73.519112  52.089626   \n",
       "11/30/2017  221.389969  105.528229  177.179993  74.732925  55.211117   \n",
       "12/31/2017  221.389969  105.528229  177.179993  74.732925  55.211117   \n",
       "1/31/2018   229.744095  104.957459  186.889999  58.045616  54.246693   \n",
       "2/28/2018   219.439697   94.105843  178.320007  56.244740  54.819340   \n",
       "3/31/2018   219.439697   94.105843  178.320007  56.244740  54.819340   \n",
       "4/30/2018   230.134857   88.053032  172.000000  61.409504  55.270565   \n",
       "5/31/2018   235.109436   86.851974  191.779999  58.260304  54.691010   \n",
       "6/30/2018   235.109436   86.851974  191.779999  58.260304  54.691010   \n",
       "7/31/2018   247.381073   94.732704  172.580002  63.050781  50.560478   \n",
       "8/31/2018   262.269653   97.664635  175.729996  62.199135  51.942581   \n",
       "9/30/2018   262.269653   97.664635  175.729996  62.199135  51.942581   \n",
       "10/31/2018  256.185089  104.106316  151.789993  66.262566  56.626644   \n",
       "11/30/2018  276.680908  105.929520  140.610001  52.826702  65.186462   \n",
       "12/31/2018  244.977097  104.834038  131.089996  54.800213  62.919781   \n",
       "1/31/2019   265.706543  103.777664  166.690002  54.993275  66.573822   \n",
       "2/28/2019   238.191849  108.968254  161.449997  57.811955  69.003349   \n",
       "3/31/2019   238.191849  108.968254  161.449997  57.811955  69.003349   \n",
       "4/30/2019   230.068802  122.919106  193.399994  62.153934  76.290642   \n",
       "5/31/2019   238.686386  130.636734  177.470001  57.865437  75.046150   \n",
       "6/30/2019   238.686386  130.636734  177.470001  57.865437  75.046150   \n",
       "7/31/2019   246.892044  150.218384  194.229996  73.314941  93.427818   \n",
       "8/31/2019   246.892044  150.218384  194.229996  73.314941  93.427818   \n",
       "9/30/2019   216.487717  154.186569  178.080002  74.780304  87.572060   \n",
       "10/31/2019  251.732208  146.108658  191.649994  62.366497  83.749084   \n",
       "11/30/2019  251.732208  146.108658  191.649994  62.366497  83.749084   \n",
       "12/31/2019  293.980011  146.979996  205.250000  75.410004  87.512138   \n",
       "\n",
       "                   MCO         HII          RL        LNT         AXP  \n",
       "Date                                                                   \n",
       "2/27/2015    91.116180  132.023270  123.606277  27.101852   75.427559  \n",
       "3/31/2015    97.564026  131.290314  118.733910  26.846176   72.461044  \n",
       "4/30/2015   101.060547  123.271454  120.458458  25.997549   71.839569  \n",
       "5/31/2015   101.060547  123.271454  120.458458  25.997549   71.839569  \n",
       "6/30/2015   101.788795  105.818543  119.940102  24.815250   72.359734  \n",
       "7/31/2015   104.117599  110.348679  114.077202  26.687109   70.814239  \n",
       "8/31/2015    96.757385  106.214287  100.756577  24.587204   71.428711  \n",
       "9/30/2015    92.870461  101.091324  107.559921  25.376841   69.017326  \n",
       "10/31/2015   92.870461  101.091324  107.559921  25.376841   69.017326  \n",
       "11/30/2015   97.852180  123.981049  113.067169  26.354477   66.951530  \n",
       "12/31/2015   95.214180  120.126739  101.939995  27.344021   64.998291  \n",
       "1/31/2016    95.214180  120.126739  101.939995  27.344021   64.998291  \n",
       "2/29/2016    84.637756  124.113609   82.993134  30.032972   52.169907  \n",
       "3/31/2016    92.034012  130.172043   88.480911  32.830753   57.632820  \n",
       "4/30/2016    92.034012  130.172043   88.480911  32.830753   57.632820  \n",
       "5/31/2016    94.389252  146.310715   86.706879  33.032482   62.024155  \n",
       "6/30/2016    89.671700  160.254120   82.848854  35.395138   57.596676  \n",
       "7/31/2016    89.671700  160.254120   82.848854  35.395138   57.596676  \n",
       "8/31/2016   104.376976  157.998459   95.791069  34.084858   62.165730  \n",
       "9/30/2016   103.983254  146.758621   93.978600  34.408192   60.705921  \n",
       "10/31/2016   96.531174  154.353867   91.153854  34.444859   63.278843  \n",
       "11/30/2016   96.875198  171.582657   97.202904  32.516678   68.633064  \n",
       "12/31/2016   96.875198  171.582657   97.202904  32.516678   68.633064  \n",
       "1/31/2017    99.930870  186.172348   82.627090  34.375820   73.078163  \n",
       "2/28/2017   108.101776  209.727035   74.124245  36.046673   76.599075  \n",
       "3/31/2017   108.752106  192.729462   76.733871  36.165375   75.690155  \n",
       "4/30/2017   108.752106  192.729462   76.733871  36.165375   75.690155  \n",
       "5/31/2017   115.362129  189.044250   63.741196  38.164089   73.916206  \n",
       "6/30/2017   118.507919  179.727646   69.861298  36.967716   80.929298  \n",
       "7/31/2017   128.198517  198.988327   71.612564  37.588726   82.189453  \n",
       "8/31/2017   130.917969  207.165482   83.199310  39.638351   83.028412  \n",
       "9/30/2017   130.917969  207.165482   83.199310  39.638351   83.028412  \n",
       "10/31/2017  139.103470  225.436218   85.134346  40.411568   92.467964  \n",
       "11/30/2017  148.679840  234.709640   90.579590  42.139767   94.587990  \n",
       "12/31/2017  148.679840  234.709640   90.579590  42.139767   94.587990  \n",
       "1/31/2018   158.443603  230.698532  109.348480  37.450371   96.563484  \n",
       "2/28/2018   163.860092  255.141953  101.246101  36.414009   94.727425  \n",
       "3/31/2018   163.860092  255.141953  101.246101  36.414009   94.727425  \n",
       "4/30/2018   159.264770  236.834793  105.563690  40.784012   96.292183  \n",
       "5/31/2018   167.914017  215.974136  129.328735  39.331177   95.853394  \n",
       "6/30/2018   167.914017  215.974136  129.328735  39.331177   95.853394  \n",
       "7/31/2018   168.455444  227.677994  130.355804  41.123840   97.391411  \n",
       "8/31/2018   175.698608  239.533402  128.260132  40.999428  103.713257  \n",
       "9/30/2018   175.698608  239.533402  128.260132  40.999428  103.713257  \n",
       "10/31/2018  143.582916  214.068207  125.741570  41.451687  100.895607  \n",
       "11/30/2018  157.463242  212.000534  108.075081  43.775990  110.265244  \n",
       "12/31/2018  138.625458  187.219574  100.991310  40.747639   93.617920  \n",
       "1/31/2019   156.908905  203.097473  113.368751  43.245396  101.278946  \n",
       "2/28/2019   171.875061  206.814835  122.183273  44.606846  106.249206  \n",
       "3/31/2019   171.875061  206.814835  122.183273  44.606846  106.249206  \n",
       "4/30/2019   195.206070  219.821610  129.084000  46.279095  116.017158  \n",
       "5/31/2019   182.045792  203.410919  103.135735  46.504463  113.523231  \n",
       "6/30/2019   182.045792  203.410919  103.135735  46.504463  113.523231  \n",
       "7/31/2019   213.362274  226.397797  102.866303  48.888660  123.468193  \n",
       "8/31/2019   213.362274  226.397797  102.866303  48.888660  123.468193  \n",
       "9/30/2019   204.372528  210.915329   94.914963  53.220940  117.422356  \n",
       "10/31/2019  220.197098  224.728058   95.501526  52.996922  116.874901  \n",
       "11/30/2019  220.197098  224.728058   95.501526  52.996922  116.874901  \n",
       "12/31/2019  237.410004  250.880005  117.220001  54.368046  124.059998  \n",
       "\n",
       "[59 rows x 100 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_path = Path('monthly_data.csv')\n",
    "monthly_df = pd.read_csv(csv_path, index_col = \"Date\")\n",
    "monthly_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly_returns = monthly_df.pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "sharpe_ratio = (monthly_df.mean()) / (monthly_df.std() * np.sqrt(12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1bf198d0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sharpe_ratio.plot(kind='bar', figsize=(25,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DXC    0.665931\n",
       "BBY    0.823915\n",
       "AMG    1.097986\n",
       "CNP    1.361230\n",
       "WMT    1.271096\n",
       "         ...   \n",
       "MCO    0.927984\n",
       "HII    1.154338\n",
       "RL     1.685028\n",
       "LNT    1.366718\n",
       "AXP    1.214408\n",
       "Length: 100, dtype: float64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sharpe_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1a452710>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sharpe_ratio.plot(kind='bar', figsize=(25,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stock</th>\n",
       "      <th>Sharpe Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>GPC</td>\n",
       "      <td>2.924464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ABC</td>\n",
       "      <td>2.824204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>PPL</td>\n",
       "      <td>2.755488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NWS</td>\n",
       "      <td>2.716743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>BMY</td>\n",
       "      <td>2.688515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>GIS</td>\n",
       "      <td>2.641281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>SYF</td>\n",
       "      <td>2.493336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>HOLX</td>\n",
       "      <td>2.425412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>EXPE</td>\n",
       "      <td>2.407311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DISCK</td>\n",
       "      <td>2.309659</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Stock  Sharpe Ratio\n",
       "20    GPC      2.924464\n",
       "50    ABC      2.824204\n",
       "43    PPL      2.755488\n",
       "15    NWS      2.716743\n",
       "53    BMY      2.688515\n",
       "51    GIS      2.641281\n",
       "52    SYF      2.493336\n",
       "72   HOLX      2.425412\n",
       "85   EXPE      2.407311\n",
       "23  DISCK      2.309659"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a dataframe for sharpe ratios and sorting by them to determine stocks with the best\n",
    "sr_df = sharpe_ratio.to_frame()\n",
    "sr_df.reset_index(inplace=True)\n",
    "sr_df.columns = ['Stock','Sharpe Ratio']\n",
    "sr_df.sort_values(by = 'Sharpe Ratio', ascending = False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "output = 'sharpe_ratios.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# printing randomly selected 100 stocks with Sharpe ratios to a csv file\n",
    "with open(output, 'w') as file:\n",
    "    file.write(sr_df.to_csv(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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