[Sample Notebook] Strategy Returns using SVR Models.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.api.types import is_list_like\n",
    "pd.core.common.is_list_like = pd.api.types.is_list_like\n",
    "import pandas_datareader as data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import mixture as mix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import talib as ta\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import sklearn\n",
    "#print (sklearn.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>WAP</th>\n",
       "      <th>NoofShares</th>\n",
       "      <th>NoofTrades</th>\n",
       "      <th>TotalTurnover</th>\n",
       "      <th>DeliverableQuantity</th>\n",
       "      <th>DeliQtytoTradedQty</th>\n",
       "      <th>SpreadHL</th>\n",
       "      <th>SpreadCO</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-09-26</th>\n",
       "      <td>8085.00</td>\n",
       "      <td>8085.05</td>\n",
       "      <td>7811.00</td>\n",
       "      <td>7844.40</td>\n",
       "      <td>7891.940000</td>\n",
       "      <td>59593.0</td>\n",
       "      <td>7820.0</td>\n",
       "      <td>4.703044e+08</td>\n",
       "      <td>23589.0</td>\n",
       "      <td>39.58</td>\n",
       "      <td>274.05</td>\n",
       "      <td>-240.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-25</th>\n",
       "      <td>7800.00</td>\n",
       "      <td>8017.60</td>\n",
       "      <td>7681.05</td>\n",
       "      <td>8003.30</td>\n",
       "      <td>7885.910000</td>\n",
       "      <td>91761.0</td>\n",
       "      <td>11164.0</td>\n",
       "      <td>7.236188e+08</td>\n",
       "      <td>26796.0</td>\n",
       "      <td>29.20</td>\n",
       "      <td>336.55</td>\n",
       "      <td>203.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-24</th>\n",
       "      <td>8100.00</td>\n",
       "      <td>8100.00</td>\n",
       "      <td>7610.85</td>\n",
       "      <td>7795.85</td>\n",
       "      <td>7753.200000</td>\n",
       "      <td>166197.0</td>\n",
       "      <td>20924.0</td>\n",
       "      <td>1.288558e+09</td>\n",
       "      <td>70014.0</td>\n",
       "      <td>42.13</td>\n",
       "      <td>489.15</td>\n",
       "      <td>-304.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>8241.30</td>\n",
       "      <td>8320.00</td>\n",
       "      <td>7589.50</td>\n",
       "      <td>8039.55</td>\n",
       "      <td>8085.400000</td>\n",
       "      <td>160887.0</td>\n",
       "      <td>18987.0</td>\n",
       "      <td>1.300836e+09</td>\n",
       "      <td>63853.0</td>\n",
       "      <td>39.69</td>\n",
       "      <td>730.50</td>\n",
       "      <td>-201.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>8425.00</td>\n",
       "      <td>8448.80</td>\n",
       "      <td>8192.00</td>\n",
       "      <td>8207.00</td>\n",
       "      <td>8297.780000</td>\n",
       "      <td>129945.0</td>\n",
       "      <td>16186.0</td>\n",
       "      <td>1.078254e+09</td>\n",
       "      <td>73520.0</td>\n",
       "      <td>56.58</td>\n",
       "      <td>256.80</td>\n",
       "      <td>-218.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>8549.90</td>\n",
       "      <td>8594.95</td>\n",
       "      <td>8383.25</td>\n",
       "      <td>8400.10</td>\n",
       "      <td>8481.300000</td>\n",
       "      <td>116135.0</td>\n",
       "      <td>4941.0</td>\n",
       "      <td>9.849755e+08</td>\n",
       "      <td>89177.0</td>\n",
       "      <td>76.79</td>\n",
       "      <td>211.70</td>\n",
       "      <td>-149.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>8598.00</td>\n",
       "      <td>8652.00</td>\n",
       "      <td>8505.00</td>\n",
       "      <td>8533.50</td>\n",
       "      <td>8572.710000</td>\n",
       "      <td>34281.0</td>\n",
       "      <td>3620.0</td>\n",
       "      <td>2.938811e+08</td>\n",
       "      <td>14038.0</td>\n",
       "      <td>40.95</td>\n",
       "      <td>147.00</td>\n",
       "      <td>-64.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>8581.00</td>\n",
       "      <td>8699.55</td>\n",
       "      <td>8581.00</td>\n",
       "      <td>8632.85</td>\n",
       "      <td>8651.090000</td>\n",
       "      <td>38845.0</td>\n",
       "      <td>4970.0</td>\n",
       "      <td>3.360516e+08</td>\n",
       "      <td>16379.0</td>\n",
       "      <td>42.17</td>\n",
       "      <td>118.55</td>\n",
       "      <td>51.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>8549.00</td>\n",
       "      <td>8549.00</td>\n",
       "      <td>8401.00</td>\n",
       "      <td>8502.10</td>\n",
       "      <td>8473.870000</td>\n",
       "      <td>52065.0</td>\n",
       "      <td>8362.0</td>\n",
       "      <td>4.411920e+08</td>\n",
       "      <td>18798.0</td>\n",
       "      <td>36.10</td>\n",
       "      <td>148.00</td>\n",
       "      <td>-46.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>8690.00</td>\n",
       "      <td>8700.00</td>\n",
       "      <td>8479.20</td>\n",
       "      <td>8512.85</td>\n",
       "      <td>8603.830000</td>\n",
       "      <td>61345.0</td>\n",
       "      <td>6898.0</td>\n",
       "      <td>5.278017e+08</td>\n",
       "      <td>36470.0</td>\n",
       "      <td>59.45</td>\n",
       "      <td>220.80</td>\n",
       "      <td>-177.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>8715.00</td>\n",
       "      <td>8748.00</td>\n",
       "      <td>8628.25</td>\n",
       "      <td>8648.15</td>\n",
       "      <td>8660.130000</td>\n",
       "      <td>64233.0</td>\n",
       "      <td>7763.0</td>\n",
       "      <td>5.562664e+08</td>\n",
       "      <td>30268.0</td>\n",
       "      <td>47.12</td>\n",
       "      <td>119.75</td>\n",
       "      <td>-66.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>8775.00</td>\n",
       "      <td>8782.50</td>\n",
       "      <td>8650.00</td>\n",
       "      <td>8732.55</td>\n",
       "      <td>8720.500000</td>\n",
       "      <td>81557.0</td>\n",
       "      <td>9549.0</td>\n",
       "      <td>7.112182e+08</td>\n",
       "      <td>31468.0</td>\n",
       "      <td>38.58</td>\n",
       "      <td>132.50</td>\n",
       "      <td>-42.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>8945.00</td>\n",
       "      <td>8960.00</td>\n",
       "      <td>8754.25</td>\n",
       "      <td>8772.30</td>\n",
       "      <td>8795.120000</td>\n",
       "      <td>94009.0</td>\n",
       "      <td>9515.0</td>\n",
       "      <td>8.268201e+08</td>\n",
       "      <td>41132.0</td>\n",
       "      <td>43.75</td>\n",
       "      <td>205.75</td>\n",
       "      <td>-172.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>8875.00</td>\n",
       "      <td>8950.00</td>\n",
       "      <td>8799.00</td>\n",
       "      <td>8890.90</td>\n",
       "      <td>8847.970000</td>\n",
       "      <td>52247.0</td>\n",
       "      <td>6543.0</td>\n",
       "      <td>4.622798e+08</td>\n",
       "      <td>21870.0</td>\n",
       "      <td>41.86</td>\n",
       "      <td>151.00</td>\n",
       "      <td>15.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>8902.00</td>\n",
       "      <td>8999.10</td>\n",
       "      <td>8840.00</td>\n",
       "      <td>8873.65</td>\n",
       "      <td>8924.230000</td>\n",
       "      <td>62563.0</td>\n",
       "      <td>7783.0</td>\n",
       "      <td>5.583269e+08</td>\n",
       "      <td>31577.0</td>\n",
       "      <td>50.47</td>\n",
       "      <td>159.10</td>\n",
       "      <td>-28.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>9100.00</td>\n",
       "      <td>9110.00</td>\n",
       "      <td>8888.85</td>\n",
       "      <td>8924.00</td>\n",
       "      <td>8982.420000</td>\n",
       "      <td>91748.0</td>\n",
       "      <td>9793.0</td>\n",
       "      <td>8.241195e+08</td>\n",
       "      <td>55264.0</td>\n",
       "      <td>60.23</td>\n",
       "      <td>221.15</td>\n",
       "      <td>-176.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>9200.00</td>\n",
       "      <td>9253.90</td>\n",
       "      <td>9082.30</td>\n",
       "      <td>9097.25</td>\n",
       "      <td>9154.360000</td>\n",
       "      <td>96242.0</td>\n",
       "      <td>10170.0</td>\n",
       "      <td>8.810342e+08</td>\n",
       "      <td>51272.0</td>\n",
       "      <td>53.27</td>\n",
       "      <td>171.60</td>\n",
       "      <td>-102.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>9368.00</td>\n",
       "      <td>9399.55</td>\n",
       "      <td>9182.05</td>\n",
       "      <td>9212.40</td>\n",
       "      <td>9260.820000</td>\n",
       "      <td>53330.0</td>\n",
       "      <td>4439.0</td>\n",
       "      <td>4.938796e+08</td>\n",
       "      <td>36563.0</td>\n",
       "      <td>68.56</td>\n",
       "      <td>217.50</td>\n",
       "      <td>-155.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>9430.00</td>\n",
       "      <td>9470.00</td>\n",
       "      <td>9330.00</td>\n",
       "      <td>9364.00</td>\n",
       "      <td>9397.590000</td>\n",
       "      <td>33368.0</td>\n",
       "      <td>4143.0</td>\n",
       "      <td>3.135789e+08</td>\n",
       "      <td>13686.0</td>\n",
       "      <td>41.02</td>\n",
       "      <td>140.00</td>\n",
       "      <td>-66.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>9250.00</td>\n",
       "      <td>9435.00</td>\n",
       "      <td>9218.00</td>\n",
       "      <td>9418.35</td>\n",
       "      <td>9377.480000</td>\n",
       "      <td>48949.0</td>\n",
       "      <td>5377.0</td>\n",
       "      <td>4.590185e+08</td>\n",
       "      <td>21176.0</td>\n",
       "      <td>43.26</td>\n",
       "      <td>217.00</td>\n",
       "      <td>168.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>9220.00</td>\n",
       "      <td>9270.00</td>\n",
       "      <td>9201.05</td>\n",
       "      <td>9249.35</td>\n",
       "      <td>9247.470000</td>\n",
       "      <td>32649.0</td>\n",
       "      <td>3524.0</td>\n",
       "      <td>3.019205e+08</td>\n",
       "      <td>19627.0</td>\n",
       "      <td>60.12</td>\n",
       "      <td>68.95</td>\n",
       "      <td>29.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>9223.60</td>\n",
       "      <td>9274.70</td>\n",
       "      <td>9142.80</td>\n",
       "      <td>9163.40</td>\n",
       "      <td>9197.110000</td>\n",
       "      <td>25359.0</td>\n",
       "      <td>2350.0</td>\n",
       "      <td>2.332295e+08</td>\n",
       "      <td>11341.0</td>\n",
       "      <td>44.72</td>\n",
       "      <td>131.90</td>\n",
       "      <td>-60.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>9131.00</td>\n",
       "      <td>9245.25</td>\n",
       "      <td>9101.00</td>\n",
       "      <td>9223.60</td>\n",
       "      <td>9194.380000</td>\n",
       "      <td>32092.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>2.950661e+08</td>\n",
       "      <td>12365.0</td>\n",
       "      <td>38.53</td>\n",
       "      <td>144.25</td>\n",
       "      <td>92.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>9086.10</td>\n",
       "      <td>9131.00</td>\n",
       "      <td>9061.00</td>\n",
       "      <td>9105.05</td>\n",
       "      <td>9095.110000</td>\n",
       "      <td>19701.0</td>\n",
       "      <td>2379.0</td>\n",
       "      <td>1.791828e+08</td>\n",
       "      <td>8323.0</td>\n",
       "      <td>42.25</td>\n",
       "      <td>70.00</td>\n",
       "      <td>18.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>9151.00</td>\n",
       "      <td>9210.45</td>\n",
       "      <td>9064.00</td>\n",
       "      <td>9075.90</td>\n",
       "      <td>9104.450000</td>\n",
       "      <td>56497.0</td>\n",
       "      <td>3949.0</td>\n",
       "      <td>5.143742e+08</td>\n",
       "      <td>38055.0</td>\n",
       "      <td>67.36</td>\n",
       "      <td>146.45</td>\n",
       "      <td>-75.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>9210.05</td>\n",
       "      <td>9285.80</td>\n",
       "      <td>9130.00</td>\n",
       "      <td>9148.30</td>\n",
       "      <td>9212.810000</td>\n",
       "      <td>25861.0</td>\n",
       "      <td>3737.0</td>\n",
       "      <td>2.382524e+08</td>\n",
       "      <td>9328.0</td>\n",
       "      <td>36.07</td>\n",
       "      <td>155.80</td>\n",
       "      <td>-61.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>9130.00</td>\n",
       "      <td>9236.00</td>\n",
       "      <td>9090.00</td>\n",
       "      <td>9201.95</td>\n",
       "      <td>9184.780000</td>\n",
       "      <td>41952.0</td>\n",
       "      <td>6893.0</td>\n",
       "      <td>3.853201e+08</td>\n",
       "      <td>23814.0</td>\n",
       "      <td>56.76</td>\n",
       "      <td>146.00</td>\n",
       "      <td>71.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-14</th>\n",
       "      <td>9079.00</td>\n",
       "      <td>9157.75</td>\n",
       "      <td>9054.90</td>\n",
       "      <td>9129.85</td>\n",
       "      <td>9114.280000</td>\n",
       "      <td>25100.0</td>\n",
       "      <td>3105.0</td>\n",
       "      <td>2.287683e+08</td>\n",
       "      <td>9104.0</td>\n",
       "      <td>36.27</td>\n",
       "      <td>102.85</td>\n",
       "      <td>50.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-13</th>\n",
       "      <td>9120.00</td>\n",
       "      <td>9187.00</td>\n",
       "      <td>9014.55</td>\n",
       "      <td>9090.25</td>\n",
       "      <td>9110.110000</td>\n",
       "      <td>23962.0</td>\n",
       "      <td>3618.0</td>\n",
       "      <td>2.182964e+08</td>\n",
       "      <td>6942.0</td>\n",
       "      <td>28.97</td>\n",
       "      <td>172.45</td>\n",
       "      <td>-29.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-10</th>\n",
       "      <td>9141.15</td>\n",
       "      <td>9206.80</td>\n",
       "      <td>9108.00</td>\n",
       "      <td>9151.35</td>\n",
       "      <td>9158.390000</td>\n",
       "      <td>29039.0</td>\n",
       "      <td>3990.0</td>\n",
       "      <td>2.659504e+08</td>\n",
       "      <td>11574.0</td>\n",
       "      <td>39.86</td>\n",
       "      <td>98.80</td>\n",
       "      <td>10.20</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-11</th>\n",
       "      <td>1575.00</td>\n",
       "      <td>1602.40</td>\n",
       "      <td>1561.90</td>\n",
       "      <td>1585.70</td>\n",
       "      <td>1587.060075</td>\n",
       "      <td>42497.0</td>\n",
       "      <td>3537.0</td>\n",
       "      <td>6.744529e+07</td>\n",
       "      <td>4954.0</td>\n",
       "      <td>11.66</td>\n",
       "      <td>40.50</td>\n",
       "      <td>10.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-08</th>\n",
       "      <td>1614.90</td>\n",
       "      <td>1614.90</td>\n",
       "      <td>1557.70</td>\n",
       "      <td>1577.90</td>\n",
       "      <td>1578.666684</td>\n",
       "      <td>56505.0</td>\n",
       "      <td>5007.0</td>\n",
       "      <td>8.920256e+07</td>\n",
       "      <td>17418.0</td>\n",
       "      <td>30.83</td>\n",
       "      <td>57.20</td>\n",
       "      <td>-37.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-07</th>\n",
       "      <td>1621.00</td>\n",
       "      <td>1645.80</td>\n",
       "      <td>1603.80</td>\n",
       "      <td>1612.90</td>\n",
       "      <td>1621.457757</td>\n",
       "      <td>71811.0</td>\n",
       "      <td>3529.0</td>\n",
       "      <td>1.164385e+08</td>\n",
       "      <td>35518.0</td>\n",
       "      <td>49.46</td>\n",
       "      <td>42.00</td>\n",
       "      <td>-8.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-06</th>\n",
       "      <td>1622.00</td>\n",
       "      <td>1644.25</td>\n",
       "      <td>1612.15</td>\n",
       "      <td>1616.00</td>\n",
       "      <td>1626.946419</td>\n",
       "      <td>34378.0</td>\n",
       "      <td>2520.0</td>\n",
       "      <td>5.593116e+07</td>\n",
       "      <td>2467.0</td>\n",
       "      <td>7.18</td>\n",
       "      <td>32.10</td>\n",
       "      <td>-6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-05</th>\n",
       "      <td>1645.00</td>\n",
       "      <td>1645.00</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1624.60</td>\n",
       "      <td>1631.007710</td>\n",
       "      <td>23088.0</td>\n",
       "      <td>1949.0</td>\n",
       "      <td>3.765671e+07</td>\n",
       "      <td>4314.0</td>\n",
       "      <td>18.69</td>\n",
       "      <td>26.00</td>\n",
       "      <td>-20.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-03</th>\n",
       "      <td>1635.00</td>\n",
       "      <td>1657.35</td>\n",
       "      <td>1635.00</td>\n",
       "      <td>1649.80</td>\n",
       "      <td>1649.278676</td>\n",
       "      <td>13051.0</td>\n",
       "      <td>1048.0</td>\n",
       "      <td>2.152474e+07</td>\n",
       "      <td>2644.0</td>\n",
       "      <td>20.26</td>\n",
       "      <td>22.35</td>\n",
       "      <td>14.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-01</th>\n",
       "      <td>1630.00</td>\n",
       "      <td>1656.00</td>\n",
       "      <td>1627.60</td>\n",
       "      <td>1635.80</td>\n",
       "      <td>1638.781955</td>\n",
       "      <td>55140.0</td>\n",
       "      <td>3411.0</td>\n",
       "      <td>9.036244e+07</td>\n",
       "      <td>11446.0</td>\n",
       "      <td>20.76</td>\n",
       "      <td>28.40</td>\n",
       "      <td>5.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-31</th>\n",
       "      <td>1630.00</td>\n",
       "      <td>1645.45</td>\n",
       "      <td>1617.65</td>\n",
       "      <td>1633.70</td>\n",
       "      <td>1629.091060</td>\n",
       "      <td>62135.0</td>\n",
       "      <td>3102.0</td>\n",
       "      <td>1.012236e+08</td>\n",
       "      <td>21815.0</td>\n",
       "      <td>35.11</td>\n",
       "      <td>27.80</td>\n",
       "      <td>3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-30</th>\n",
       "      <td>1646.00</td>\n",
       "      <td>1658.95</td>\n",
       "      <td>1625.20</td>\n",
       "      <td>1634.25</td>\n",
       "      <td>1640.290232</td>\n",
       "      <td>110918.0</td>\n",
       "      <td>7328.0</td>\n",
       "      <td>1.819377e+08</td>\n",
       "      <td>27795.0</td>\n",
       "      <td>25.06</td>\n",
       "      <td>33.75</td>\n",
       "      <td>-11.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-29</th>\n",
       "      <td>1590.00</td>\n",
       "      <td>1647.40</td>\n",
       "      <td>1565.00</td>\n",
       "      <td>1636.90</td>\n",
       "      <td>1608.565302</td>\n",
       "      <td>529360.0</td>\n",
       "      <td>25053.0</td>\n",
       "      <td>8.515101e+08</td>\n",
       "      <td>157900.0</td>\n",
       "      <td>29.83</td>\n",
       "      <td>82.40</td>\n",
       "      <td>46.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-28</th>\n",
       "      <td>1510.00</td>\n",
       "      <td>1529.20</td>\n",
       "      <td>1504.80</td>\n",
       "      <td>1513.00</td>\n",
       "      <td>1518.475982</td>\n",
       "      <td>80543.0</td>\n",
       "      <td>4934.0</td>\n",
       "      <td>1.223026e+08</td>\n",
       "      <td>15062.0</td>\n",
       "      <td>18.70</td>\n",
       "      <td>24.40</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-25</th>\n",
       "      <td>1514.00</td>\n",
       "      <td>1531.00</td>\n",
       "      <td>1488.60</td>\n",
       "      <td>1506.75</td>\n",
       "      <td>1513.793214</td>\n",
       "      <td>40438.0</td>\n",
       "      <td>2811.0</td>\n",
       "      <td>6.121477e+07</td>\n",
       "      <td>9726.0</td>\n",
       "      <td>24.05</td>\n",
       "      <td>42.40</td>\n",
       "      <td>-7.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-24</th>\n",
       "      <td>1532.00</td>\n",
       "      <td>1548.90</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>1515.45</td>\n",
       "      <td>1524.560690</td>\n",
       "      <td>47265.0</td>\n",
       "      <td>3120.0</td>\n",
       "      <td>7.205836e+07</td>\n",
       "      <td>7627.0</td>\n",
       "      <td>16.14</td>\n",
       "      <td>49.90</td>\n",
       "      <td>-16.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-23</th>\n",
       "      <td>1511.15</td>\n",
       "      <td>1544.40</td>\n",
       "      <td>1484.20</td>\n",
       "      <td>1527.95</td>\n",
       "      <td>1507.980684</td>\n",
       "      <td>108302.0</td>\n",
       "      <td>3978.0</td>\n",
       "      <td>1.633173e+08</td>\n",
       "      <td>55780.0</td>\n",
       "      <td>51.50</td>\n",
       "      <td>60.20</td>\n",
       "      <td>16.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-22</th>\n",
       "      <td>1529.10</td>\n",
       "      <td>1537.00</td>\n",
       "      <td>1504.70</td>\n",
       "      <td>1511.65</td>\n",
       "      <td>1517.887265</td>\n",
       "      <td>48716.0</td>\n",
       "      <td>3513.0</td>\n",
       "      <td>7.394540e+07</td>\n",
       "      <td>13294.0</td>\n",
       "      <td>27.29</td>\n",
       "      <td>32.30</td>\n",
       "      <td>-17.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-21</th>\n",
       "      <td>1470.00</td>\n",
       "      <td>1540.20</td>\n",
       "      <td>1470.00</td>\n",
       "      <td>1516.60</td>\n",
       "      <td>1513.993445</td>\n",
       "      <td>80391.0</td>\n",
       "      <td>5496.0</td>\n",
       "      <td>1.217114e+08</td>\n",
       "      <td>15188.0</td>\n",
       "      <td>18.89</td>\n",
       "      <td>70.20</td>\n",
       "      <td>46.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-18</th>\n",
       "      <td>1429.00</td>\n",
       "      <td>1473.35</td>\n",
       "      <td>1411.00</td>\n",
       "      <td>1469.60</td>\n",
       "      <td>1459.781141</td>\n",
       "      <td>67692.0</td>\n",
       "      <td>3664.0</td>\n",
       "      <td>9.881550e+07</td>\n",
       "      <td>24408.0</td>\n",
       "      <td>36.06</td>\n",
       "      <td>62.35</td>\n",
       "      <td>40.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-17</th>\n",
       "      <td>1446.00</td>\n",
       "      <td>1450.10</td>\n",
       "      <td>1420.10</td>\n",
       "      <td>1429.55</td>\n",
       "      <td>1435.943896</td>\n",
       "      <td>29659.0</td>\n",
       "      <td>2345.0</td>\n",
       "      <td>4.258866e+07</td>\n",
       "      <td>3859.0</td>\n",
       "      <td>13.01</td>\n",
       "      <td>30.00</td>\n",
       "      <td>-16.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-15</th>\n",
       "      <td>1449.00</td>\n",
       "      <td>1473.55</td>\n",
       "      <td>1433.00</td>\n",
       "      <td>1438.50</td>\n",
       "      <td>1450.345456</td>\n",
       "      <td>51063.0</td>\n",
       "      <td>3205.0</td>\n",
       "      <td>7.405899e+07</td>\n",
       "      <td>10043.0</td>\n",
       "      <td>19.67</td>\n",
       "      <td>40.55</td>\n",
       "      <td>-10.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-14</th>\n",
       "      <td>1463.20</td>\n",
       "      <td>1478.00</td>\n",
       "      <td>1440.00</td>\n",
       "      <td>1445.15</td>\n",
       "      <td>1461.229877</td>\n",
       "      <td>36737.0</td>\n",
       "      <td>2851.0</td>\n",
       "      <td>5.368120e+07</td>\n",
       "      <td>8684.0</td>\n",
       "      <td>23.64</td>\n",
       "      <td>38.00</td>\n",
       "      <td>-18.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-11</th>\n",
       "      <td>1430.00</td>\n",
       "      <td>1469.30</td>\n",
       "      <td>1414.00</td>\n",
       "      <td>1464.05</td>\n",
       "      <td>1448.077646</td>\n",
       "      <td>73410.0</td>\n",
       "      <td>5903.0</td>\n",
       "      <td>1.063034e+08</td>\n",
       "      <td>17774.0</td>\n",
       "      <td>24.21</td>\n",
       "      <td>55.30</td>\n",
       "      <td>34.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-10</th>\n",
       "      <td>1404.00</td>\n",
       "      <td>1425.00</td>\n",
       "      <td>1400.05</td>\n",
       "      <td>1421.30</td>\n",
       "      <td>1418.180986</td>\n",
       "      <td>58115.0</td>\n",
       "      <td>3703.0</td>\n",
       "      <td>8.241759e+07</td>\n",
       "      <td>20049.0</td>\n",
       "      <td>34.50</td>\n",
       "      <td>24.95</td>\n",
       "      <td>17.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-09</th>\n",
       "      <td>1402.00</td>\n",
       "      <td>1405.00</td>\n",
       "      <td>1387.70</td>\n",
       "      <td>1398.35</td>\n",
       "      <td>1397.399115</td>\n",
       "      <td>41587.0</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>5.811364e+07</td>\n",
       "      <td>12087.0</td>\n",
       "      <td>29.06</td>\n",
       "      <td>17.30</td>\n",
       "      <td>-3.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-08</th>\n",
       "      <td>1416.00</td>\n",
       "      <td>1422.00</td>\n",
       "      <td>1403.00</td>\n",
       "      <td>1407.35</td>\n",
       "      <td>1413.123252</td>\n",
       "      <td>42912.0</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>6.063994e+07</td>\n",
       "      <td>12906.0</td>\n",
       "      <td>30.08</td>\n",
       "      <td>19.00</td>\n",
       "      <td>-8.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-07</th>\n",
       "      <td>1427.00</td>\n",
       "      <td>1434.00</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>1406.85</td>\n",
       "      <td>1408.744160</td>\n",
       "      <td>60147.0</td>\n",
       "      <td>3571.0</td>\n",
       "      <td>8.473174e+07</td>\n",
       "      <td>17461.0</td>\n",
       "      <td>29.03</td>\n",
       "      <td>34.00</td>\n",
       "      <td>-20.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-04</th>\n",
       "      <td>1411.00</td>\n",
       "      <td>1432.95</td>\n",
       "      <td>1407.30</td>\n",
       "      <td>1427.65</td>\n",
       "      <td>1426.062770</td>\n",
       "      <td>81345.0</td>\n",
       "      <td>4859.0</td>\n",
       "      <td>1.160031e+08</td>\n",
       "      <td>21579.0</td>\n",
       "      <td>26.53</td>\n",
       "      <td>25.65</td>\n",
       "      <td>16.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-03</th>\n",
       "      <td>1390.00</td>\n",
       "      <td>1419.00</td>\n",
       "      <td>1377.85</td>\n",
       "      <td>1412.15</td>\n",
       "      <td>1406.239613</td>\n",
       "      <td>95984.0</td>\n",
       "      <td>7007.0</td>\n",
       "      <td>1.349765e+08</td>\n",
       "      <td>38749.0</td>\n",
       "      <td>40.37</td>\n",
       "      <td>41.15</td>\n",
       "      <td>22.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-01</th>\n",
       "      <td>1365.00</td>\n",
       "      <td>1409.70</td>\n",
       "      <td>1363.60</td>\n",
       "      <td>1380.00</td>\n",
       "      <td>1388.518122</td>\n",
       "      <td>126032.0</td>\n",
       "      <td>7572.0</td>\n",
       "      <td>1.749977e+08</td>\n",
       "      <td>24038.0</td>\n",
       "      <td>19.07</td>\n",
       "      <td>46.10</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>1368.00</td>\n",
       "      <td>1368.00</td>\n",
       "      <td>1341.80</td>\n",
       "      <td>1357.95</td>\n",
       "      <td>1352.766293</td>\n",
       "      <td>27941.0</td>\n",
       "      <td>2310.0</td>\n",
       "      <td>3.779764e+07</td>\n",
       "      <td>4089.0</td>\n",
       "      <td>14.63</td>\n",
       "      <td>26.20</td>\n",
       "      <td>-10.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-27</th>\n",
       "      <td>1391.00</td>\n",
       "      <td>1406.70</td>\n",
       "      <td>1363.00</td>\n",
       "      <td>1367.80</td>\n",
       "      <td>1377.294929</td>\n",
       "      <td>69020.0</td>\n",
       "      <td>4495.0</td>\n",
       "      <td>9.506090e+07</td>\n",
       "      <td>20782.0</td>\n",
       "      <td>30.11</td>\n",
       "      <td>43.70</td>\n",
       "      <td>-23.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1234 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close          WAP  NoofShares  \\\n",
       "Date                                                                      \n",
       "2018-09-26  8085.00  8085.05  7811.00  7844.40  7891.940000     59593.0   \n",
       "2018-09-25  7800.00  8017.60  7681.05  8003.30  7885.910000     91761.0   \n",
       "2018-09-24  8100.00  8100.00  7610.85  7795.85  7753.200000    166197.0   \n",
       "2018-09-21  8241.30  8320.00  7589.50  8039.55  8085.400000    160887.0   \n",
       "2018-09-19  8425.00  8448.80  8192.00  8207.00  8297.780000    129945.0   \n",
       "2018-09-18  8549.90  8594.95  8383.25  8400.10  8481.300000    116135.0   \n",
       "2018-09-17  8598.00  8652.00  8505.00  8533.50  8572.710000     34281.0   \n",
       "2018-09-14  8581.00  8699.55  8581.00  8632.85  8651.090000     38845.0   \n",
       "2018-09-12  8549.00  8549.00  8401.00  8502.10  8473.870000     52065.0   \n",
       "2018-09-11  8690.00  8700.00  8479.20  8512.85  8603.830000     61345.0   \n",
       "2018-09-10  8715.00  8748.00  8628.25  8648.15  8660.130000     64233.0   \n",
       "2018-09-07  8775.00  8782.50  8650.00  8732.55  8720.500000     81557.0   \n",
       "2018-09-06  8945.00  8960.00  8754.25  8772.30  8795.120000     94009.0   \n",
       "2018-09-05  8875.00  8950.00  8799.00  8890.90  8847.970000     52247.0   \n",
       "2018-09-04  8902.00  8999.10  8840.00  8873.65  8924.230000     62563.0   \n",
       "2018-09-03  9100.00  9110.00  8888.85  8924.00  8982.420000     91748.0   \n",
       "2018-08-31  9200.00  9253.90  9082.30  9097.25  9154.360000     96242.0   \n",
       "2018-08-30  9368.00  9399.55  9182.05  9212.40  9260.820000     53330.0   \n",
       "2018-08-29  9430.00  9470.00  9330.00  9364.00  9397.590000     33368.0   \n",
       "2018-08-28  9250.00  9435.00  9218.00  9418.35  9377.480000     48949.0   \n",
       "2018-08-27  9220.00  9270.00  9201.05  9249.35  9247.470000     32649.0   \n",
       "2018-08-24  9223.60  9274.70  9142.80  9163.40  9197.110000     25359.0   \n",
       "2018-08-23  9131.00  9245.25  9101.00  9223.60  9194.380000     32092.0   \n",
       "2018-08-21  9086.10  9131.00  9061.00  9105.05  9095.110000     19701.0   \n",
       "2018-08-20  9151.00  9210.45  9064.00  9075.90  9104.450000     56497.0   \n",
       "2018-08-17  9210.05  9285.80  9130.00  9148.30  9212.810000     25861.0   \n",
       "2018-08-16  9130.00  9236.00  9090.00  9201.95  9184.780000     41952.0   \n",
       "2018-08-14  9079.00  9157.75  9054.90  9129.85  9114.280000     25100.0   \n",
       "2018-08-13  9120.00  9187.00  9014.55  9090.25  9110.110000     23962.0   \n",
       "2018-08-10  9141.15  9206.80  9108.00  9151.35  9158.390000     29039.0   \n",
       "...             ...      ...      ...      ...          ...         ...   \n",
       "2013-11-11  1575.00  1602.40  1561.90  1585.70  1587.060075     42497.0   \n",
       "2013-11-08  1614.90  1614.90  1557.70  1577.90  1578.666684     56505.0   \n",
       "2013-11-07  1621.00  1645.80  1603.80  1612.90  1621.457757     71811.0   \n",
       "2013-11-06  1622.00  1644.25  1612.15  1616.00  1626.946419     34378.0   \n",
       "2013-11-05  1645.00  1645.00  1619.00  1624.60  1631.007710     23088.0   \n",
       "2013-11-03  1635.00  1657.35  1635.00  1649.80  1649.278676     13051.0   \n",
       "2013-11-01  1630.00  1656.00  1627.60  1635.80  1638.781955     55140.0   \n",
       "2013-10-31  1630.00  1645.45  1617.65  1633.70  1629.091060     62135.0   \n",
       "2013-10-30  1646.00  1658.95  1625.20  1634.25  1640.290232    110918.0   \n",
       "2013-10-29  1590.00  1647.40  1565.00  1636.90  1608.565302    529360.0   \n",
       "2013-10-28  1510.00  1529.20  1504.80  1513.00  1518.475982     80543.0   \n",
       "2013-10-25  1514.00  1531.00  1488.60  1506.75  1513.793214     40438.0   \n",
       "2013-10-24  1532.00  1548.90  1499.00  1515.45  1524.560690     47265.0   \n",
       "2013-10-23  1511.15  1544.40  1484.20  1527.95  1507.980684    108302.0   \n",
       "2013-10-22  1529.10  1537.00  1504.70  1511.65  1517.887265     48716.0   \n",
       "2013-10-21  1470.00  1540.20  1470.00  1516.60  1513.993445     80391.0   \n",
       "2013-10-18  1429.00  1473.35  1411.00  1469.60  1459.781141     67692.0   \n",
       "2013-10-17  1446.00  1450.10  1420.10  1429.55  1435.943896     29659.0   \n",
       "2013-10-15  1449.00  1473.55  1433.00  1438.50  1450.345456     51063.0   \n",
       "2013-10-14  1463.20  1478.00  1440.00  1445.15  1461.229877     36737.0   \n",
       "2013-10-11  1430.00  1469.30  1414.00  1464.05  1448.077646     73410.0   \n",
       "2013-10-10  1404.00  1425.00  1400.05  1421.30  1418.180986     58115.0   \n",
       "2013-10-09  1402.00  1405.00  1387.70  1398.35  1397.399115     41587.0   \n",
       "2013-10-08  1416.00  1422.00  1403.00  1407.35  1413.123252     42912.0   \n",
       "2013-10-07  1427.00  1434.00  1400.00  1406.85  1408.744160     60147.0   \n",
       "2013-10-04  1411.00  1432.95  1407.30  1427.65  1426.062770     81345.0   \n",
       "2013-10-03  1390.00  1419.00  1377.85  1412.15  1406.239613     95984.0   \n",
       "2013-10-01  1365.00  1409.70  1363.60  1380.00  1388.518122    126032.0   \n",
       "2013-09-30  1368.00  1368.00  1341.80  1357.95  1352.766293     27941.0   \n",
       "2013-09-27  1391.00  1406.70  1363.00  1367.80  1377.294929     69020.0   \n",
       "\n",
       "            NoofTrades  TotalTurnover  DeliverableQuantity  \\\n",
       "Date                                                         \n",
       "2018-09-26      7820.0   4.703044e+08              23589.0   \n",
       "2018-09-25     11164.0   7.236188e+08              26796.0   \n",
       "2018-09-24     20924.0   1.288558e+09              70014.0   \n",
       "2018-09-21     18987.0   1.300836e+09              63853.0   \n",
       "2018-09-19     16186.0   1.078254e+09              73520.0   \n",
       "2018-09-18      4941.0   9.849755e+08              89177.0   \n",
       "2018-09-17      3620.0   2.938811e+08              14038.0   \n",
       "2018-09-14      4970.0   3.360516e+08              16379.0   \n",
       "2018-09-12      8362.0   4.411920e+08              18798.0   \n",
       "2018-09-11      6898.0   5.278017e+08              36470.0   \n",
       "2018-09-10      7763.0   5.562664e+08              30268.0   \n",
       "2018-09-07      9549.0   7.112182e+08              31468.0   \n",
       "2018-09-06      9515.0   8.268201e+08              41132.0   \n",
       "2018-09-05      6543.0   4.622798e+08              21870.0   \n",
       "2018-09-04      7783.0   5.583269e+08              31577.0   \n",
       "2018-09-03      9793.0   8.241195e+08              55264.0   \n",
       "2018-08-31     10170.0   8.810342e+08              51272.0   \n",
       "2018-08-30      4439.0   4.938796e+08              36563.0   \n",
       "2018-08-29      4143.0   3.135789e+08              13686.0   \n",
       "2018-08-28      5377.0   4.590185e+08              21176.0   \n",
       "2018-08-27      3524.0   3.019205e+08              19627.0   \n",
       "2018-08-24      2350.0   2.332295e+08              11341.0   \n",
       "2018-08-23      3740.0   2.950661e+08              12365.0   \n",
       "2018-08-21      2379.0   1.791828e+08               8323.0   \n",
       "2018-08-20      3949.0   5.143742e+08              38055.0   \n",
       "2018-08-17      3737.0   2.382524e+08               9328.0   \n",
       "2018-08-16      6893.0   3.853201e+08              23814.0   \n",
       "2018-08-14      3105.0   2.287683e+08               9104.0   \n",
       "2018-08-13      3618.0   2.182964e+08               6942.0   \n",
       "2018-08-10      3990.0   2.659504e+08              11574.0   \n",
       "...                ...            ...                  ...   \n",
       "2013-11-11      3537.0   6.744529e+07               4954.0   \n",
       "2013-11-08      5007.0   8.920256e+07              17418.0   \n",
       "2013-11-07      3529.0   1.164385e+08              35518.0   \n",
       "2013-11-06      2520.0   5.593116e+07               2467.0   \n",
       "2013-11-05      1949.0   3.765671e+07               4314.0   \n",
       "2013-11-03      1048.0   2.152474e+07               2644.0   \n",
       "2013-11-01      3411.0   9.036244e+07              11446.0   \n",
       "2013-10-31      3102.0   1.012236e+08              21815.0   \n",
       "2013-10-30      7328.0   1.819377e+08              27795.0   \n",
       "2013-10-29     25053.0   8.515101e+08             157900.0   \n",
       "2013-10-28      4934.0   1.223026e+08              15062.0   \n",
       "2013-10-25      2811.0   6.121477e+07               9726.0   \n",
       "2013-10-24      3120.0   7.205836e+07               7627.0   \n",
       "2013-10-23      3978.0   1.633173e+08              55780.0   \n",
       "2013-10-22      3513.0   7.394540e+07              13294.0   \n",
       "2013-10-21      5496.0   1.217114e+08              15188.0   \n",
       "2013-10-18      3664.0   9.881550e+07              24408.0   \n",
       "2013-10-17      2345.0   4.258866e+07               3859.0   \n",
       "2013-10-15      3205.0   7.405899e+07              10043.0   \n",
       "2013-10-14      2851.0   5.368120e+07               8684.0   \n",
       "2013-10-11      5903.0   1.063034e+08              17774.0   \n",
       "2013-10-10      3703.0   8.241759e+07              20049.0   \n",
       "2013-10-09      3152.0   5.811364e+07              12087.0   \n",
       "2013-10-08      2812.0   6.063994e+07              12906.0   \n",
       "2013-10-07      3571.0   8.473174e+07              17461.0   \n",
       "2013-10-04      4859.0   1.160031e+08              21579.0   \n",
       "2013-10-03      7007.0   1.349765e+08              38749.0   \n",
       "2013-10-01      7572.0   1.749977e+08              24038.0   \n",
       "2013-09-30      2310.0   3.779764e+07               4089.0   \n",
       "2013-09-27      4495.0   9.506090e+07              20782.0   \n",
       "\n",
       "            DeliQtytoTradedQty  SpreadHL  SpreadCO  \n",
       "Date                                                \n",
       "2018-09-26               39.58    274.05   -240.60  \n",
       "2018-09-25               29.20    336.55    203.30  \n",
       "2018-09-24               42.13    489.15   -304.15  \n",
       "2018-09-21               39.69    730.50   -201.75  \n",
       "2018-09-19               56.58    256.80   -218.00  \n",
       "2018-09-18               76.79    211.70   -149.80  \n",
       "2018-09-17               40.95    147.00    -64.50  \n",
       "2018-09-14               42.17    118.55     51.85  \n",
       "2018-09-12               36.10    148.00    -46.90  \n",
       "2018-09-11               59.45    220.80   -177.15  \n",
       "2018-09-10               47.12    119.75    -66.85  \n",
       "2018-09-07               38.58    132.50    -42.45  \n",
       "2018-09-06               43.75    205.75   -172.70  \n",
       "2018-09-05               41.86    151.00     15.90  \n",
       "2018-09-04               50.47    159.10    -28.35  \n",
       "2018-09-03               60.23    221.15   -176.00  \n",
       "2018-08-31               53.27    171.60   -102.75  \n",
       "2018-08-30               68.56    217.50   -155.60  \n",
       "2018-08-29               41.02    140.00    -66.00  \n",
       "2018-08-28               43.26    217.00    168.35  \n",
       "2018-08-27               60.12     68.95     29.35  \n",
       "2018-08-24               44.72    131.90    -60.20  \n",
       "2018-08-23               38.53    144.25     92.60  \n",
       "2018-08-21               42.25     70.00     18.95  \n",
       "2018-08-20               67.36    146.45    -75.10  \n",
       "2018-08-17               36.07    155.80    -61.75  \n",
       "2018-08-16               56.76    146.00     71.95  \n",
       "2018-08-14               36.27    102.85     50.85  \n",
       "2018-08-13               28.97    172.45    -29.75  \n",
       "2018-08-10               39.86     98.80     10.20  \n",
       "...                        ...       ...       ...  \n",
       "2013-11-11               11.66     40.50     10.70  \n",
       "2013-11-08               30.83     57.20    -37.00  \n",
       "2013-11-07               49.46     42.00     -8.10  \n",
       "2013-11-06                7.18     32.10     -6.00  \n",
       "2013-11-05               18.69     26.00    -20.40  \n",
       "2013-11-03               20.26     22.35     14.80  \n",
       "2013-11-01               20.76     28.40      5.80  \n",
       "2013-10-31               35.11     27.80      3.70  \n",
       "2013-10-30               25.06     33.75    -11.75  \n",
       "2013-10-29               29.83     82.40     46.90  \n",
       "2013-10-28               18.70     24.40      3.00  \n",
       "2013-10-25               24.05     42.40     -7.25  \n",
       "2013-10-24               16.14     49.90    -16.55  \n",
       "2013-10-23               51.50     60.20     16.80  \n",
       "2013-10-22               27.29     32.30    -17.45  \n",
       "2013-10-21               18.89     70.20     46.60  \n",
       "2013-10-18               36.06     62.35     40.60  \n",
       "2013-10-17               13.01     30.00    -16.45  \n",
       "2013-10-15               19.67     40.55    -10.50  \n",
       "2013-10-14               23.64     38.00    -18.05  \n",
       "2013-10-11               24.21     55.30     34.05  \n",
       "2013-10-10               34.50     24.95     17.30  \n",
       "2013-10-09               29.06     17.30     -3.65  \n",
       "2013-10-08               30.08     19.00     -8.65  \n",
       "2013-10-07               29.03     34.00    -20.15  \n",
       "2013-10-04               26.53     25.65     16.65  \n",
       "2013-10-03               40.37     41.15     22.15  \n",
       "2013-10-01               19.07     46.10     15.00  \n",
       "2013-09-30               14.63     26.20    -10.05  \n",
       "2013-09-27               30.11     43.70    -23.20  \n",
       "\n",
       "[1234 rows x 12 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "end = dt.date.today()\n",
    "start = dt.datetime(end.year-5,end.month,end.day)\n",
    "#df = pd.DataFrame(data.DataReader('BSE/BOM500325', 'quandl', start=start, end=end )) #Reliance_Industries\n",
    "df = pd.DataFrame(data.DataReader('BSE/BOM532500', 'quandl', start=start, end=end ))  #Maruti\n",
    "#df = pd.DataFrame(data.DataReader('BSE/BOM500180', 'quandl', start=start, end=end )) #HDFC Bank\n",
    "#df = pd.DataFrame(data.DataReader('AAPL', 'quandl', start=start, end=end )) #Apple\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1213.000000</td>\n",
       "      <td>1213.000000</td>\n",
       "      <td>1213.000000</td>\n",
       "      <td>1213.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5019.724485</td>\n",
       "      <td>5067.051649</td>\n",
       "      <td>4972.648269</td>\n",
       "      <td>5018.168425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2416.518922</td>\n",
       "      <td>2431.614526</td>\n",
       "      <td>2398.425073</td>\n",
       "      <td>2412.749097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1365.000000</td>\n",
       "      <td>1368.000000</td>\n",
       "      <td>1341.800000</td>\n",
       "      <td>1357.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3379.750000</td>\n",
       "      <td>3414.000000</td>\n",
       "      <td>3348.500000</td>\n",
       "      <td>3382.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4383.000000</td>\n",
       "      <td>4446.400000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4379.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7207.000000</td>\n",
       "      <td>7249.300000</td>\n",
       "      <td>7155.000000</td>\n",
       "      <td>7214.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9970.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>9730.050000</td>\n",
       "      <td>9820.350000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open          High          Low        Close\n",
       "count  1213.000000   1213.000000  1213.000000  1213.000000\n",
       "mean   5019.724485   5067.051649  4972.648269  5018.168425\n",
       "std    2416.518922   2431.614526  2398.425073  2412.749097\n",
       "min    1365.000000   1368.000000  1341.800000  1357.950000\n",
       "25%    3379.750000   3414.000000  3348.500000  3382.150000\n",
       "50%    4383.000000   4446.400000  4345.000000  4379.850000\n",
       "75%    7207.000000   7249.300000  7155.000000  7214.900000\n",
       "max    9970.000000  10000.000000  9730.050000  9820.350000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[['Open', 'High', 'Low', 'Close']]\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "970\n"
     ]
    }
   ],
   "source": [
    "#Spliting the data 80% for testing and 20% for training\n",
    "n = 10\n",
    "t = 0.8\n",
    "split = int(t*len(df))\n",
    "print(split)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n",
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # This is added back by InteractiveShellApp.init_path()\n",
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if sys.path[0] == '':\n",
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  del sys.path[0]\n",
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>RSI</th>\n",
       "      <th>SMA</th>\n",
       "      <th>Corr</th>\n",
       "      <th>SAR</th>\n",
       "      <th>ADX</th>\n",
       "      <th>Return</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",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>9320.00</td>\n",
       "      <td>9400.00</td>\n",
       "      <td>9235.00</td>\n",
       "      <td>9380.65</td>\n",
       "      <td>52.176026</td>\n",
       "      <td>9277.380</td>\n",
       "      <td>0.662471</td>\n",
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       "      <td>20.833216</td>\n",
       "      <td>-0.006950</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>9430.00</td>\n",
       "      <td>9444.00</td>\n",
       "      <td>9292.00</td>\n",
       "      <td>9315.45</td>\n",
       "      <td>48.647614</td>\n",
       "      <td>9293.790</td>\n",
       "      <td>0.536948</td>\n",
       "      <td>9235.000000</td>\n",
       "      <td>21.037576</td>\n",
       "      <td>0.011733</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>9833.00</td>\n",
       "      <td>9833.00</td>\n",
       "      <td>9369.05</td>\n",
       "      <td>9396.65</td>\n",
       "      <td>53.041866</td>\n",
       "      <td>9317.815</td>\n",
       "      <td>0.491964</td>\n",
       "      <td>9235.000000</td>\n",
       "      <td>24.099732</td>\n",
       "      <td>0.041848</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>9869.90</td>\n",
       "      <td>9875.00</td>\n",
       "      <td>9705.00</td>\n",
       "      <td>9757.70</td>\n",
       "      <td>66.995026</td>\n",
       "      <td>9372.635</td>\n",
       "      <td>0.706296</td>\n",
       "      <td>9292.000000</td>\n",
       "      <td>27.062825</td>\n",
       "      <td>0.003746</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>9770.00</td>\n",
       "      <td>9922.85</td>\n",
       "      <td>9730.05</td>\n",
       "      <td>9820.35</td>\n",
       "      <td>68.783401</td>\n",
       "      <td>9414.990</td>\n",
       "      <td>0.882705</td>\n",
       "      <td>9369.050000</td>\n",
       "      <td>29.967687</td>\n",
       "      <td>-0.010173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>9415.00</td>\n",
       "      <td>9750.00</td>\n",
       "      <td>9380.15</td>\n",
       "      <td>9697.15</td>\n",
       "      <td>61.501991</td>\n",
       "      <td>9455.970</td>\n",
       "      <td>0.880829</td>\n",
       "      <td>9922.850000</td>\n",
       "      <td>27.979677</td>\n",
       "      <td>-0.037012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>9355.00</td>\n",
       "      <td>9458.95</td>\n",
       "      <td>9331.80</td>\n",
       "      <td>9386.75</td>\n",
       "      <td>47.442544</td>\n",
       "      <td>9475.810</td>\n",
       "      <td>0.644513</td>\n",
       "      <td>9922.850000</td>\n",
       "      <td>25.713741</td>\n",
       "      <td>-0.006393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>9388.00</td>\n",
       "      <td>9431.95</td>\n",
       "      <td>9350.10</td>\n",
       "      <td>9388.40</td>\n",
       "      <td>47.513411</td>\n",
       "      <td>9498.980</td>\n",
       "      <td>0.353607</td>\n",
       "      <td>9804.640000</td>\n",
       "      <td>23.674398</td>\n",
       "      <td>0.003521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>9482.00</td>\n",
       "      <td>9528.50</td>\n",
       "      <td>9300.00</td>\n",
       "      <td>9368.70</td>\n",
       "      <td>46.678445</td>\n",
       "      <td>9501.820</td>\n",
       "      <td>0.110385</td>\n",
       "      <td>9710.072000</td>\n",
       "      <td>22.752276</td>\n",
       "      <td>0.009963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>9375.00</td>\n",
       "      <td>9480.65</td>\n",
       "      <td>9342.75</td>\n",
       "      <td>9451.20</td>\n",
       "      <td>50.709006</td>\n",
       "      <td>9496.300</td>\n",
       "      <td>0.095323</td>\n",
       "      <td>9628.057600</td>\n",
       "      <td>21.922365</td>\n",
       "      <td>-0.011349</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>9430.00</td>\n",
       "      <td>9495.45</td>\n",
       "      <td>9350.00</td>\n",
       "      <td>9377.90</td>\n",
       "      <td>47.187736</td>\n",
       "      <td>9496.025</td>\n",
       "      <td>-0.085091</td>\n",
       "      <td>9562.446080</td>\n",
       "      <td>21.328809</td>\n",
       "      <td>0.005850</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>9399.00</td>\n",
       "      <td>9490.00</td>\n",
       "      <td>9371.00</td>\n",
       "      <td>9434.30</td>\n",
       "      <td>50.147350</td>\n",
       "      <td>9507.910</td>\n",
       "      <td>-0.420429</td>\n",
       "      <td>9509.956864</td>\n",
       "      <td>20.794609</td>\n",
       "      <td>-0.003293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>9450.00</td>\n",
       "      <td>9508.40</td>\n",
       "      <td>9321.15</td>\n",
       "      <td>9347.55</td>\n",
       "      <td>45.764313</td>\n",
       "      <td>9503.000</td>\n",
       "      <td>-0.889456</td>\n",
       "      <td>9300.000000</td>\n",
       "      <td>19.509156</td>\n",
       "      <td>0.005411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>9530.00</td>\n",
       "      <td>9530.00</td>\n",
       "      <td>9360.55</td>\n",
       "      <td>9389.20</td>\n",
       "      <td>48.180462</td>\n",
       "      <td>9466.150</td>\n",
       "      <td>-0.860102</td>\n",
       "      <td>9321.150000</td>\n",
       "      <td>18.649798</td>\n",
       "      <td>0.008430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-10</th>\n",
       "      <td>9375.00</td>\n",
       "      <td>9550.00</td>\n",
       "      <td>9375.00</td>\n",
       "      <td>9531.05</td>\n",
       "      <td>55.656042</td>\n",
       "      <td>9437.220</td>\n",
       "      <td>-0.647567</td>\n",
       "      <td>9321.150000</td>\n",
       "      <td>18.163068</td>\n",
       "      <td>-0.016398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>9351.00</td>\n",
       "      <td>9413.90</td>\n",
       "      <td>9351.00</td>\n",
       "      <td>9369.45</td>\n",
       "      <td>47.062104</td>\n",
       "      <td>9404.450</td>\n",
       "      <td>-0.224114</td>\n",
       "      <td>9550.000000</td>\n",
       "      <td>17.256864</td>\n",
       "      <td>-0.002563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-06</th>\n",
       "      <td>9338.00</td>\n",
       "      <td>9407.00</td>\n",
       "      <td>9261.55</td>\n",
       "      <td>9304.80</td>\n",
       "      <td>44.039333</td>\n",
       "      <td>9396.255</td>\n",
       "      <td>0.157475</td>\n",
       "      <td>9550.000000</td>\n",
       "      <td>16.209379</td>\n",
       "      <td>-0.001391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-05</th>\n",
       "      <td>9221.00</td>\n",
       "      <td>9390.00</td>\n",
       "      <td>9221.00</td>\n",
       "      <td>9338.60</td>\n",
       "      <td>46.052192</td>\n",
       "      <td>9391.275</td>\n",
       "      <td>0.285228</td>\n",
       "      <td>9492.310000</td>\n",
       "      <td>15.903496</td>\n",
       "      <td>-0.012609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-04</th>\n",
       "      <td>8965.20</td>\n",
       "      <td>9248.00</td>\n",
       "      <td>8951.00</td>\n",
       "      <td>9220.80</td>\n",
       "      <td>40.421873</td>\n",
       "      <td>9376.485</td>\n",
       "      <td>0.536770</td>\n",
       "      <td>9438.048000</td>\n",
       "      <td>18.544109</td>\n",
       "      <td>-0.028133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-03</th>\n",
       "      <td>8815.00</td>\n",
       "      <td>8996.75</td>\n",
       "      <td>8760.00</td>\n",
       "      <td>8979.50</td>\n",
       "      <td>31.622552</td>\n",
       "      <td>9329.315</td>\n",
       "      <td>0.704917</td>\n",
       "      <td>9390.000000</td>\n",
       "      <td>22.125213</td>\n",
       "      <td>-0.016896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-02</th>\n",
       "      <td>8885.00</td>\n",
       "      <td>8936.20</td>\n",
       "      <td>8801.05</td>\n",
       "      <td>8827.60</td>\n",
       "      <td>27.443898</td>\n",
       "      <td>9274.285</td>\n",
       "      <td>0.845112</td>\n",
       "      <td>9264.000000</td>\n",
       "      <td>25.348207</td>\n",
       "      <td>0.007910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>8799.00</td>\n",
       "      <td>8892.00</td>\n",
       "      <td>8775.00</td>\n",
       "      <td>8821.20</td>\n",
       "      <td>27.275170</td>\n",
       "      <td>9212.975</td>\n",
       "      <td>0.895503</td>\n",
       "      <td>9163.200000</td>\n",
       "      <td>28.403925</td>\n",
       "      <td>-0.009726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>8866.00</td>\n",
       "      <td>8899.90</td>\n",
       "      <td>8730.00</td>\n",
       "      <td>8780.95</td>\n",
       "      <td>26.151643</td>\n",
       "      <td>9156.315</td>\n",
       "      <td>0.936151</td>\n",
       "      <td>9082.560000</td>\n",
       "      <td>31.423923</td>\n",
       "      <td>0.007586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>8940.00</td>\n",
       "      <td>9011.00</td>\n",
       "      <td>8861.00</td>\n",
       "      <td>8900.70</td>\n",
       "      <td>35.002398</td>\n",
       "      <td>9107.465</td>\n",
       "      <td>0.876022</td>\n",
       "      <td>9012.048000</td>\n",
       "      <td>31.862022</td>\n",
       "      <td>0.008312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>8830.00</td>\n",
       "      <td>8990.00</td>\n",
       "      <td>8750.55</td>\n",
       "      <td>8950.10</td>\n",
       "      <td>38.387097</td>\n",
       "      <td>9049.370</td>\n",
       "      <td>0.772933</td>\n",
       "      <td>9011.000000</td>\n",
       "      <td>33.135960</td>\n",
       "      <td>-0.012381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>8850.25</td>\n",
       "      <td>8860.05</td>\n",
       "      <td>8770.85</td>\n",
       "      <td>8792.10</td>\n",
       "      <td>32.392560</td>\n",
       "      <td>8991.635</td>\n",
       "      <td>0.755707</td>\n",
       "      <td>9011.000000</td>\n",
       "      <td>34.282505</td>\n",
       "      <td>0.002291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>8870.00</td>\n",
       "      <td>8905.00</td>\n",
       "      <td>8813.00</td>\n",
       "      <td>8889.70</td>\n",
       "      <td>38.937357</td>\n",
       "      <td>8950.125</td>\n",
       "      <td>0.653995</td>\n",
       "      <td>8990.000000</td>\n",
       "      <td>34.382979</td>\n",
       "      <td>0.002229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>8925.05</td>\n",
       "      <td>8983.85</td>\n",
       "      <td>8863.20</td>\n",
       "      <td>8870.10</td>\n",
       "      <td>38.114071</td>\n",
       "      <td>8903.275</td>\n",
       "      <td>0.497845</td>\n",
       "      <td>8730.000000</td>\n",
       "      <td>32.964386</td>\n",
       "      <td>0.006187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>8868.45</td>\n",
       "      <td>8969.00</td>\n",
       "      <td>8868.00</td>\n",
       "      <td>8947.90</td>\n",
       "      <td>43.392885</td>\n",
       "      <td>8875.985</td>\n",
       "      <td>-0.078401</td>\n",
       "      <td>8780.770000</td>\n",
       "      <td>31.687653</td>\n",
       "      <td>-0.006362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-19</th>\n",
       "      <td>8995.00</td>\n",
       "      <td>8995.00</td>\n",
       "      <td>8824.90</td>\n",
       "      <td>8868.45</td>\n",
       "      <td>39.563645</td>\n",
       "      <td>8864.880</td>\n",
       "      <td>-0.470557</td>\n",
       "      <td>8821.386000</td>\n",
       "      <td>31.097230</td>\n",
       "      <td>0.014169</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-11</th>\n",
       "      <td>1575.00</td>\n",
       "      <td>1602.40</td>\n",
       "      <td>1561.90</td>\n",
       "      <td>1585.70</td>\n",
       "      <td>31.768902</td>\n",
       "      <td>1628.930</td>\n",
       "      <td>0.883179</td>\n",
       "      <td>1636.336000</td>\n",
       "      <td>26.340523</td>\n",
       "      <td>-0.006960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-08</th>\n",
       "      <td>1614.90</td>\n",
       "      <td>1614.90</td>\n",
       "      <td>1557.70</td>\n",
       "      <td>1577.90</td>\n",
       "      <td>30.378866</td>\n",
       "      <td>1618.745</td>\n",
       "      <td>0.847890</td>\n",
       "      <td>1621.900000</td>\n",
       "      <td>25.404715</td>\n",
       "      <td>0.025018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-07</th>\n",
       "      <td>1621.00</td>\n",
       "      <td>1645.80</td>\n",
       "      <td>1603.80</td>\n",
       "      <td>1612.90</td>\n",
       "      <td>42.846822</td>\n",
       "      <td>1616.050</td>\n",
       "      <td>0.725559</td>\n",
       "      <td>1557.700000</td>\n",
       "      <td>23.123182</td>\n",
       "      <td>0.003770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-06</th>\n",
       "      <td>1622.00</td>\n",
       "      <td>1644.25</td>\n",
       "      <td>1612.15</td>\n",
       "      <td>1616.00</td>\n",
       "      <td>43.836647</td>\n",
       "      <td>1612.890</td>\n",
       "      <td>0.595755</td>\n",
       "      <td>1557.700000</td>\n",
       "      <td>21.069802</td>\n",
       "      <td>0.000617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-05</th>\n",
       "      <td>1645.00</td>\n",
       "      <td>1645.00</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1624.60</td>\n",
       "      <td>46.682932</td>\n",
       "      <td>1610.275</td>\n",
       "      <td>0.400109</td>\n",
       "      <td>1575.320000</td>\n",
       "      <td>19.270352</td>\n",
       "      <td>0.014080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-03</th>\n",
       "      <td>1635.00</td>\n",
       "      <td>1657.35</td>\n",
       "      <td>1635.00</td>\n",
       "      <td>1649.80</td>\n",
       "      <td>54.234293</td>\n",
       "      <td>1606.960</td>\n",
       "      <td>-0.260801</td>\n",
       "      <td>1589.416000</td>\n",
       "      <td>18.461477</td>\n",
       "      <td>-0.006098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11-01</th>\n",
       "      <td>1630.00</td>\n",
       "      <td>1656.00</td>\n",
       "      <td>1627.60</td>\n",
       "      <td>1635.80</td>\n",
       "      <td>49.873977</td>\n",
       "      <td>1607.585</td>\n",
       "      <td>-0.640175</td>\n",
       "      <td>1603.002800</td>\n",
       "      <td>17.147068</td>\n",
       "      <td>-0.003063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-31</th>\n",
       "      <td>1630.00</td>\n",
       "      <td>1645.45</td>\n",
       "      <td>1617.65</td>\n",
       "      <td>1633.70</td>\n",
       "      <td>49.214521</td>\n",
       "      <td>1610.105</td>\n",
       "      <td>-0.844457</td>\n",
       "      <td>1613.872240</td>\n",
       "      <td>15.669905</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-30</th>\n",
       "      <td>1646.00</td>\n",
       "      <td>1658.95</td>\n",
       "      <td>1625.20</td>\n",
       "      <td>1634.25</td>\n",
       "      <td>49.409184</td>\n",
       "      <td>1615.585</td>\n",
       "      <td>-0.819863</td>\n",
       "      <td>1617.650000</td>\n",
       "      <td>14.880873</td>\n",
       "      <td>0.009768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-29</th>\n",
       "      <td>1590.00</td>\n",
       "      <td>1647.40</td>\n",
       "      <td>1565.00</td>\n",
       "      <td>1636.90</td>\n",
       "      <td>50.426453</td>\n",
       "      <td>1620.755</td>\n",
       "      <td>-0.688114</td>\n",
       "      <td>1658.950000</td>\n",
       "      <td>16.166431</td>\n",
       "      <td>-0.034614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-28</th>\n",
       "      <td>1510.00</td>\n",
       "      <td>1529.20</td>\n",
       "      <td>1504.80</td>\n",
       "      <td>1513.00</td>\n",
       "      <td>24.663328</td>\n",
       "      <td>1613.485</td>\n",
       "      <td>-0.268376</td>\n",
       "      <td>1658.950000</td>\n",
       "      <td>19.260168</td>\n",
       "      <td>-0.051624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-25</th>\n",
       "      <td>1514.00</td>\n",
       "      <td>1531.00</td>\n",
       "      <td>1488.60</td>\n",
       "      <td>1506.75</td>\n",
       "      <td>23.976739</td>\n",
       "      <td>1606.370</td>\n",
       "      <td>0.181573</td>\n",
       "      <td>1647.400000</td>\n",
       "      <td>22.436971</td>\n",
       "      <td>0.002646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-24</th>\n",
       "      <td>1532.00</td>\n",
       "      <td>1548.90</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>1515.45</td>\n",
       "      <td>27.114935</td>\n",
       "      <td>1596.625</td>\n",
       "      <td>0.457904</td>\n",
       "      <td>1615.640000</td>\n",
       "      <td>24.035302</td>\n",
       "      <td>0.011819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-23</th>\n",
       "      <td>1511.15</td>\n",
       "      <td>1544.40</td>\n",
       "      <td>1484.20</td>\n",
       "      <td>1527.95</td>\n",
       "      <td>31.621069</td>\n",
       "      <td>1587.820</td>\n",
       "      <td>0.533596</td>\n",
       "      <td>1590.232000</td>\n",
       "      <td>25.912428</td>\n",
       "      <td>-0.013703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-22</th>\n",
       "      <td>1529.10</td>\n",
       "      <td>1537.00</td>\n",
       "      <td>1504.70</td>\n",
       "      <td>1511.65</td>\n",
       "      <td>29.021395</td>\n",
       "      <td>1576.525</td>\n",
       "      <td>0.593983</td>\n",
       "      <td>1569.025600</td>\n",
       "      <td>27.601842</td>\n",
       "      <td>0.011808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-21</th>\n",
       "      <td>1470.00</td>\n",
       "      <td>1540.20</td>\n",
       "      <td>1470.00</td>\n",
       "      <td>1516.60</td>\n",
       "      <td>30.937244</td>\n",
       "      <td>1563.205</td>\n",
       "      <td>0.612350</td>\n",
       "      <td>1552.060480</td>\n",
       "      <td>30.099952</td>\n",
       "      <td>-0.039417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-18</th>\n",
       "      <td>1429.00</td>\n",
       "      <td>1473.35</td>\n",
       "      <td>1411.00</td>\n",
       "      <td>1469.60</td>\n",
       "      <td>24.080112</td>\n",
       "      <td>1546.585</td>\n",
       "      <td>0.698707</td>\n",
       "      <td>1540.200000</td>\n",
       "      <td>33.505717</td>\n",
       "      <td>-0.028288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-17</th>\n",
       "      <td>1446.00</td>\n",
       "      <td>1450.10</td>\n",
       "      <td>1420.10</td>\n",
       "      <td>1429.55</td>\n",
       "      <td>19.903274</td>\n",
       "      <td>1526.170</td>\n",
       "      <td>0.787518</td>\n",
       "      <td>1540.200000</td>\n",
       "      <td>36.570906</td>\n",
       "      <td>0.011826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-15</th>\n",
       "      <td>1449.00</td>\n",
       "      <td>1473.55</td>\n",
       "      <td>1433.00</td>\n",
       "      <td>1438.50</td>\n",
       "      <td>23.210537</td>\n",
       "      <td>1506.595</td>\n",
       "      <td>0.811164</td>\n",
       "      <td>1514.360000</td>\n",
       "      <td>37.573640</td>\n",
       "      <td>0.002073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-14</th>\n",
       "      <td>1463.20</td>\n",
       "      <td>1478.00</td>\n",
       "      <td>1440.00</td>\n",
       "      <td>1445.15</td>\n",
       "      <td>25.741897</td>\n",
       "      <td>1487.420</td>\n",
       "      <td>0.873090</td>\n",
       "      <td>1493.688000</td>\n",
       "      <td>38.152758</td>\n",
       "      <td>0.009752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-11</th>\n",
       "      <td>1430.00</td>\n",
       "      <td>1469.30</td>\n",
       "      <td>1414.00</td>\n",
       "      <td>1464.05</td>\n",
       "      <td>32.743306</td>\n",
       "      <td>1482.525</td>\n",
       "      <td>0.833871</td>\n",
       "      <td>1478.000000</td>\n",
       "      <td>39.383338</td>\n",
       "      <td>-0.022951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-10</th>\n",
       "      <td>1404.00</td>\n",
       "      <td>1425.00</td>\n",
       "      <td>1400.05</td>\n",
       "      <td>1421.30</td>\n",
       "      <td>26.470807</td>\n",
       "      <td>1473.980</td>\n",
       "      <td>0.874740</td>\n",
       "      <td>1478.000000</td>\n",
       "      <td>40.835083</td>\n",
       "      <td>-0.018349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-09</th>\n",
       "      <td>1402.00</td>\n",
       "      <td>1405.00</td>\n",
       "      <td>1387.70</td>\n",
       "      <td>1398.35</td>\n",
       "      <td>23.756244</td>\n",
       "      <td>1462.270</td>\n",
       "      <td>0.889160</td>\n",
       "      <td>1469.300000</td>\n",
       "      <td>42.436574</td>\n",
       "      <td>-0.001426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-08</th>\n",
       "      <td>1416.00</td>\n",
       "      <td>1422.00</td>\n",
       "      <td>1403.00</td>\n",
       "      <td>1407.35</td>\n",
       "      <td>27.017384</td>\n",
       "      <td>1450.210</td>\n",
       "      <td>0.870256</td>\n",
       "      <td>1452.980000</td>\n",
       "      <td>42.479964</td>\n",
       "      <td>0.009936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-07</th>\n",
       "      <td>1427.00</td>\n",
       "      <td>1434.00</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>1406.85</td>\n",
       "      <td>26.946239</td>\n",
       "      <td>1439.730</td>\n",
       "      <td>0.833508</td>\n",
       "      <td>1439.924000</td>\n",
       "      <td>41.585557</td>\n",
       "      <td>0.007738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-04</th>\n",
       "      <td>1411.00</td>\n",
       "      <td>1432.95</td>\n",
       "      <td>1407.30</td>\n",
       "      <td>1427.65</td>\n",
       "      <td>34.873344</td>\n",
       "      <td>1430.835</td>\n",
       "      <td>0.666313</td>\n",
       "      <td>1434.000000</td>\n",
       "      <td>40.780591</td>\n",
       "      <td>-0.011276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-03</th>\n",
       "      <td>1390.00</td>\n",
       "      <td>1419.00</td>\n",
       "      <td>1377.85</td>\n",
       "      <td>1412.15</td>\n",
       "      <td>31.998420</td>\n",
       "      <td>1425.090</td>\n",
       "      <td>0.524160</td>\n",
       "      <td>1434.000000</td>\n",
       "      <td>41.154412</td>\n",
       "      <td>-0.014995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-10-01</th>\n",
       "      <td>1365.00</td>\n",
       "      <td>1409.70</td>\n",
       "      <td>1363.60</td>\n",
       "      <td>1380.00</td>\n",
       "      <td>26.889567</td>\n",
       "      <td>1420.135</td>\n",
       "      <td>0.701047</td>\n",
       "      <td>1432.950000</td>\n",
       "      <td>41.943539</td>\n",
       "      <td>-0.018149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>1368.00</td>\n",
       "      <td>1368.00</td>\n",
       "      <td>1341.80</td>\n",
       "      <td>1357.95</td>\n",
       "      <td>23.972818</td>\n",
       "      <td>1412.080</td>\n",
       "      <td>0.776178</td>\n",
       "      <td>1419.080000</td>\n",
       "      <td>43.274374</td>\n",
       "      <td>0.002195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-27</th>\n",
       "      <td>1391.00</td>\n",
       "      <td>1406.70</td>\n",
       "      <td>1363.00</td>\n",
       "      <td>1367.80</td>\n",
       "      <td>27.856957</td>\n",
       "      <td>1404.345</td>\n",
       "      <td>0.782638</td>\n",
       "      <td>1409.700000</td>\n",
       "      <td>41.464760</td>\n",
       "      <td>0.016673</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1194 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close        RSI       SMA      Corr  \\\n",
       "Date                                                                            \n",
       "2018-07-30  9320.00  9400.00  9235.00  9380.65  52.176026  9277.380  0.662471   \n",
       "2018-07-27  9430.00  9444.00  9292.00  9315.45  48.647614  9293.790  0.536948   \n",
       "2018-07-26  9833.00  9833.00  9369.05  9396.65  53.041866  9317.815  0.491964   \n",
       "2018-07-25  9869.90  9875.00  9705.00  9757.70  66.995026  9372.635  0.706296   \n",
       "2018-07-24  9770.00  9922.85  9730.05  9820.35  68.783401  9414.990  0.882705   \n",
       "2018-07-23  9415.00  9750.00  9380.15  9697.15  61.501991  9455.970  0.880829   \n",
       "2018-07-20  9355.00  9458.95  9331.80  9386.75  47.442544  9475.810  0.644513   \n",
       "2018-07-19  9388.00  9431.95  9350.10  9388.40  47.513411  9498.980  0.353607   \n",
       "2018-07-18  9482.00  9528.50  9300.00  9368.70  46.678445  9501.820  0.110385   \n",
       "2018-07-17  9375.00  9480.65  9342.75  9451.20  50.709006  9496.300  0.095323   \n",
       "2018-07-16  9430.00  9495.45  9350.00  9377.90  47.187736  9496.025 -0.085091   \n",
       "2018-07-13  9399.00  9490.00  9371.00  9434.30  50.147350  9507.910 -0.420429   \n",
       "2018-07-12  9450.00  9508.40  9321.15  9347.55  45.764313  9503.000 -0.889456   \n",
       "2018-07-11  9530.00  9530.00  9360.55  9389.20  48.180462  9466.150 -0.860102   \n",
       "2018-07-10  9375.00  9550.00  9375.00  9531.05  55.656042  9437.220 -0.647567   \n",
       "2018-07-09  9351.00  9413.90  9351.00  9369.45  47.062104  9404.450 -0.224114   \n",
       "2018-07-06  9338.00  9407.00  9261.55  9304.80  44.039333  9396.255  0.157475   \n",
       "2018-07-05  9221.00  9390.00  9221.00  9338.60  46.052192  9391.275  0.285228   \n",
       "2018-07-04  8965.20  9248.00  8951.00  9220.80  40.421873  9376.485  0.536770   \n",
       "2018-07-03  8815.00  8996.75  8760.00  8979.50  31.622552  9329.315  0.704917   \n",
       "2018-07-02  8885.00  8936.20  8801.05  8827.60  27.443898  9274.285  0.845112   \n",
       "2018-06-29  8799.00  8892.00  8775.00  8821.20  27.275170  9212.975  0.895503   \n",
       "2018-06-28  8866.00  8899.90  8730.00  8780.95  26.151643  9156.315  0.936151   \n",
       "2018-06-27  8940.00  9011.00  8861.00  8900.70  35.002398  9107.465  0.876022   \n",
       "2018-06-26  8830.00  8990.00  8750.55  8950.10  38.387097  9049.370  0.772933   \n",
       "2018-06-25  8850.25  8860.05  8770.85  8792.10  32.392560  8991.635  0.755707   \n",
       "2018-06-22  8870.00  8905.00  8813.00  8889.70  38.937357  8950.125  0.653995   \n",
       "2018-06-21  8925.05  8983.85  8863.20  8870.10  38.114071  8903.275  0.497845   \n",
       "2018-06-20  8868.45  8969.00  8868.00  8947.90  43.392885  8875.985 -0.078401   \n",
       "2018-06-19  8995.00  8995.00  8824.90  8868.45  39.563645  8864.880 -0.470557   \n",
       "...             ...      ...      ...      ...        ...       ...       ...   \n",
       "2013-11-11  1575.00  1602.40  1561.90  1585.70  31.768902  1628.930  0.883179   \n",
       "2013-11-08  1614.90  1614.90  1557.70  1577.90  30.378866  1618.745  0.847890   \n",
       "2013-11-07  1621.00  1645.80  1603.80  1612.90  42.846822  1616.050  0.725559   \n",
       "2013-11-06  1622.00  1644.25  1612.15  1616.00  43.836647  1612.890  0.595755   \n",
       "2013-11-05  1645.00  1645.00  1619.00  1624.60  46.682932  1610.275  0.400109   \n",
       "2013-11-03  1635.00  1657.35  1635.00  1649.80  54.234293  1606.960 -0.260801   \n",
       "2013-11-01  1630.00  1656.00  1627.60  1635.80  49.873977  1607.585 -0.640175   \n",
       "2013-10-31  1630.00  1645.45  1617.65  1633.70  49.214521  1610.105 -0.844457   \n",
       "2013-10-30  1646.00  1658.95  1625.20  1634.25  49.409184  1615.585 -0.819863   \n",
       "2013-10-29  1590.00  1647.40  1565.00  1636.90  50.426453  1620.755 -0.688114   \n",
       "2013-10-28  1510.00  1529.20  1504.80  1513.00  24.663328  1613.485 -0.268376   \n",
       "2013-10-25  1514.00  1531.00  1488.60  1506.75  23.976739  1606.370  0.181573   \n",
       "2013-10-24  1532.00  1548.90  1499.00  1515.45  27.114935  1596.625  0.457904   \n",
       "2013-10-23  1511.15  1544.40  1484.20  1527.95  31.621069  1587.820  0.533596   \n",
       "2013-10-22  1529.10  1537.00  1504.70  1511.65  29.021395  1576.525  0.593983   \n",
       "2013-10-21  1470.00  1540.20  1470.00  1516.60  30.937244  1563.205  0.612350   \n",
       "2013-10-18  1429.00  1473.35  1411.00  1469.60  24.080112  1546.585  0.698707   \n",
       "2013-10-17  1446.00  1450.10  1420.10  1429.55  19.903274  1526.170  0.787518   \n",
       "2013-10-15  1449.00  1473.55  1433.00  1438.50  23.210537  1506.595  0.811164   \n",
       "2013-10-14  1463.20  1478.00  1440.00  1445.15  25.741897  1487.420  0.873090   \n",
       "2013-10-11  1430.00  1469.30  1414.00  1464.05  32.743306  1482.525  0.833871   \n",
       "2013-10-10  1404.00  1425.00  1400.05  1421.30  26.470807  1473.980  0.874740   \n",
       "2013-10-09  1402.00  1405.00  1387.70  1398.35  23.756244  1462.270  0.889160   \n",
       "2013-10-08  1416.00  1422.00  1403.00  1407.35  27.017384  1450.210  0.870256   \n",
       "2013-10-07  1427.00  1434.00  1400.00  1406.85  26.946239  1439.730  0.833508   \n",
       "2013-10-04  1411.00  1432.95  1407.30  1427.65  34.873344  1430.835  0.666313   \n",
       "2013-10-03  1390.00  1419.00  1377.85  1412.15  31.998420  1425.090  0.524160   \n",
       "2013-10-01  1365.00  1409.70  1363.60  1380.00  26.889567  1420.135  0.701047   \n",
       "2013-09-30  1368.00  1368.00  1341.80  1357.95  23.972818  1412.080  0.776178   \n",
       "2013-09-27  1391.00  1406.70  1363.00  1367.80  27.856957  1404.345  0.782638   \n",
       "\n",
       "                    SAR        ADX    Return  \n",
       "Date                                          \n",
       "2018-07-30  9222.000000  20.833216 -0.006950  \n",
       "2018-07-27  9235.000000  21.037576  0.011733  \n",
       "2018-07-26  9235.000000  24.099732  0.041848  \n",
       "2018-07-25  9292.000000  27.062825  0.003746  \n",
       "2018-07-24  9369.050000  29.967687 -0.010173  \n",
       "2018-07-23  9922.850000  27.979677 -0.037012  \n",
       "2018-07-20  9922.850000  25.713741 -0.006393  \n",
       "2018-07-19  9804.640000  23.674398  0.003521  \n",
       "2018-07-18  9710.072000  22.752276  0.009963  \n",
       "2018-07-17  9628.057600  21.922365 -0.011349  \n",
       "2018-07-16  9562.446080  21.328809  0.005850  \n",
       "2018-07-13  9509.956864  20.794609 -0.003293  \n",
       "2018-07-12  9300.000000  19.509156  0.005411  \n",
       "2018-07-11  9321.150000  18.649798  0.008430  \n",
       "2018-07-10  9321.150000  18.163068 -0.016398  \n",
       "2018-07-09  9550.000000  17.256864 -0.002563  \n",
       "2018-07-06  9550.000000  16.209379 -0.001391  \n",
       "2018-07-05  9492.310000  15.903496 -0.012609  \n",
       "2018-07-04  9438.048000  18.544109 -0.028133  \n",
       "2018-07-03  9390.000000  22.125213 -0.016896  \n",
       "2018-07-02  9264.000000  25.348207  0.007910  \n",
       "2018-06-29  9163.200000  28.403925 -0.009726  \n",
       "2018-06-28  9082.560000  31.423923  0.007586  \n",
       "2018-06-27  9012.048000  31.862022  0.008312  \n",
       "2018-06-26  9011.000000  33.135960 -0.012381  \n",
       "2018-06-25  9011.000000  34.282505  0.002291  \n",
       "2018-06-22  8990.000000  34.382979  0.002229  \n",
       "2018-06-21  8730.000000  32.964386  0.006187  \n",
       "2018-06-20  8780.770000  31.687653 -0.006362  \n",
       "2018-06-19  8821.386000  31.097230  0.014169  \n",
       "...                 ...        ...       ...  \n",
       "2013-11-11  1636.336000  26.340523 -0.006960  \n",
       "2013-11-08  1621.900000  25.404715  0.025018  \n",
       "2013-11-07  1557.700000  23.123182  0.003770  \n",
       "2013-11-06  1557.700000  21.069802  0.000617  \n",
       "2013-11-05  1575.320000  19.270352  0.014080  \n",
       "2013-11-03  1589.416000  18.461477 -0.006098  \n",
       "2013-11-01  1603.002800  17.147068 -0.003063  \n",
       "2013-10-31  1613.872240  15.669905  0.000000  \n",
       "2013-10-30  1617.650000  14.880873  0.009768  \n",
       "2013-10-29  1658.950000  16.166431 -0.034614  \n",
       "2013-10-28  1658.950000  19.260168 -0.051624  \n",
       "2013-10-25  1647.400000  22.436971  0.002646  \n",
       "2013-10-24  1615.640000  24.035302  0.011819  \n",
       "2013-10-23  1590.232000  25.912428 -0.013703  \n",
       "2013-10-22  1569.025600  27.601842  0.011808  \n",
       "2013-10-21  1552.060480  30.099952 -0.039417  \n",
       "2013-10-18  1540.200000  33.505717 -0.028288  \n",
       "2013-10-17  1540.200000  36.570906  0.011826  \n",
       "2013-10-15  1514.360000  37.573640  0.002073  \n",
       "2013-10-14  1493.688000  38.152758  0.009752  \n",
       "2013-10-11  1478.000000  39.383338 -0.022951  \n",
       "2013-10-10  1478.000000  40.835083 -0.018349  \n",
       "2013-10-09  1469.300000  42.436574 -0.001426  \n",
       "2013-10-08  1452.980000  42.479964  0.009936  \n",
       "2013-10-07  1439.924000  41.585557  0.007738  \n",
       "2013-10-04  1434.000000  40.780591 -0.011276  \n",
       "2013-10-03  1434.000000  41.154412 -0.014995  \n",
       "2013-10-01  1432.950000  41.943539 -0.018149  \n",
       "2013-09-30  1419.080000  43.274374  0.002195  \n",
       "2013-09-27  1409.700000  41.464760  0.016673  \n",
       "\n",
       "[1194 rows x 10 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print(df['High'][:split])\n",
    "# print(df['High'].shift(1))\n",
    "#I created various technical indicators such as, RSI, SMA, ADX, Correlation, \n",
    "#Parabolic SAR, and the Return of the past 1- day on an Open to Open basis.\n",
    "\n",
    "# df['High'] = df['High'].shift(1)\n",
    "# df['Low'] = df['Low'].shift(1)\n",
    "# df['Close'] = df['Close'].shift(1)\n",
    "df['RSI']= ta.RSI(np.array(df['Close']), timeperiod=n)\n",
    "df['SMA']= df['Close'].rolling(window=n).mean()\n",
    "df['Corr']= df['SMA'].rolling(window=n).corr(df['Close'])\n",
    "df['SAR']= ta.SAR(np.array(df['High']),np.array(df['Low']),0.2,0.2)\n",
    "df['ADX']= ta.ADX(np.array(df['High']),np.array(df['Low']),np.array(df['Close']), timeperiod=n)\n",
    "df['Return']= np.log(df['Open']/df['Open'].shift(1))\n",
    "\n",
    "df = df.dropna()\n",
    "df\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Standard Scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\program files (x86)\\python36-32\\lib\\site-packages\\seaborn\\axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe54a690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean for regime 0: -0.7477521550350693\n",
      "Co-Variance for regime 0: 0.24466466552601007\n",
      "Mean for regime 1: 0.7607191782573698\n",
      "Co-Variance for regime 1: 0.23911864634298338\n",
      "Mean for regime 2: -0.6207696819227542\n",
      "Co-Variance for regime 2: 0.47960457320824224\n",
      "Mean for regime 3: 1.4655768745179314\n",
      "Co-Variance for regime 3: 0.36369481716222596\n"
     ]
    }
   ],
   "source": [
    "ss = StandardScaler()\n",
    "unsup = mix.GaussianMixture(n_components=4,covariance_type='spherical', n_init=100, random_state=42)\n",
    "#df = df.drop(['High','Low','Close'], axis=1)\n",
    "unsup.fit(np.reshape(ss.fit_transform(df[:split]),(-1, df.shape[1])))\n",
    "regime=unsup.predict(np.reshape(ss.fit_transform(df[split:]),(-1, df.shape[1])))\n",
    "Regimes= pd.DataFrame(regime, columns=['Regime'],index=df[split:].index).join(df[split:], how='inner').assign(market_cu_return=df[split:].Return.cumsum()).reset_index(drop=False).rename(columns={'index':'Date'})\n",
    "\n",
    "orders=[0,1,2,3]\n",
    "fig = sns.FacetGrid(data=Regimes, hue='Regime', hue_order=orders, aspect=2, size=5)\n",
    "fig.map(plt.scatter, 'Date', 'market_cu_return', s=4).add_legend()\n",
    "plt.show()\n",
    "\n",
    "for i in orders:\n",
    "    print(\"Mean for regime %i:\"%i,unsup.means_[i][0])\n",
    "    print('Co-Variance for regime %i:'%i,(unsup.covariances_[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "ss1 = StandardScaler()\n",
    "columns = Regimes.columns.drop(['Regime','Date'])\n",
    "Regimes[columns] = ss1.fit_transform(Regimes[columns])\n",
    "Regimes['Signal'] = 0\n",
    "Regimes.loc[Regimes['Return']>0, 'Signal'] = 1\n",
    "Regimes.loc[Regimes['Return']<0, 'Signal'] = -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',max_iter=-1,probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "split2 = int(.8*len(Regimes))\n",
    "\n",
    "X = Regimes.drop(['Signal','Return', 'market_cu_return', 'Date'], axis=1)\n",
    "y = Regimes['Signal']\n",
    "cls.fit(X[:split2],y[:split2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "224\n",
      "45\n"
     ]
    }
   ],
   "source": [
    "print(len(X))\n",
    "p_data = len(X)-split2\n",
    "print(p_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date\n",
      "2013-12-03    1\n",
      "2013-12-02    1\n",
      "2013-11-29    1\n",
      "2013-11-28    1\n",
      "2013-11-27    1\n",
      "2013-11-26    1\n",
      "2013-11-25    1\n",
      "2013-11-22    1\n",
      "2013-11-21    1\n",
      "2013-11-20    1\n",
      "2013-11-19    1\n",
      "2013-11-18    1\n",
      "2013-11-14    1\n",
      "2013-11-13    1\n",
      "2013-11-12    1\n",
      "2013-11-11    1\n",
      "2013-11-08    1\n",
      "2013-11-07    1\n",
      "2013-11-06    1\n",
      "2013-11-05    1\n",
      "2013-11-03    1\n",
      "2013-11-01    1\n",
      "2013-10-31    1\n",
      "2013-10-30    1\n",
      "2013-10-29    1\n",
      "2013-10-28    1\n",
      "2013-10-25    1\n",
      "2013-10-24    1\n",
      "2013-10-23    1\n",
      "2013-10-22    1\n",
      "2013-10-21    1\n",
      "2013-10-18    1\n",
      "2013-10-17    1\n",
      "2013-10-15    1\n",
      "2013-10-14    1\n",
      "2013-10-11    1\n",
      "2013-10-10    1\n",
      "2013-10-09    1\n",
      "2013-10-08    1\n",
      "2013-10-07    1\n",
      "2013-10-04    1\n",
      "2013-10-03    1\n",
      "2013-10-01    1\n",
      "2013-09-30    1\n",
      "2013-09-27    1\n",
      "Name: Pred_Signal, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df['Pred_Signal']=0\n",
    "df.iloc[-p_data:,df.columns.get_loc('Pred_Signal')] = cls.predict(X[split2:])\n",
    "print(df['Pred_Signal'][-p_data:])\n",
    "df['str_ret'] = df['Pred_Signal']*df['Return'].shift(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd329f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['strategy_cu_return']=0\n",
    "df['market_cu_return']=0\n",
    "df.iloc[-p_data:,df.columns.get_loc('strategy_cu_return')] = np.nancumsum(df['str_ret'][-p_data:])\n",
    "df.iloc[-p_data:,df.columns.get_loc('market_cu_return')] = np.nancumsum(df['Return'][-p_data:])\n",
    "Sharpe = (df['strategy_cu_return'][-1]-df['market_cu_return'][-1])/np.nanstd(df['strategy_cu_return'][-p_data:])\n",
    "df.dropna()\n",
    "\n",
    "fig= plt.subplots(figsize = (10,10))\n",
    "plt.plot(df['strategy_cu_return'][-p_data:], color='g', label='Strategy Returns')\n",
    "plt.plot(df['market_cu_return'][-p_data:], color='r', label='Market Returns')\n",
    "plt.figtext(0.5,0.9, s='Sharpe ratio: %.2f'%Sharpe)\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}