Untitled-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import quandl\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "quandl.ApiConfig.api_key = 'PZnzHYrs8qn4xS94eyca'\n",
    "quandl.ApiConfig.api_version = '2015-04-09'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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",
       "      <th>Volume</th>\n",
       "      <th>Ex-Dividend</th>\n",
       "      <th>Split Ratio</th>\n",
       "      <th>Adj. Open</th>\n",
       "      <th>Adj. High</th>\n",
       "      <th>Adj. Low</th>\n",
       "      <th>Adj. Close</th>\n",
       "      <th>Adj. Volume</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>2014-01-02</th>\n",
       "      <td>42.97</td>\n",
       "      <td>42.9700</td>\n",
       "      <td>41.7600</td>\n",
       "      <td>42.67</td>\n",
       "      <td>134200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.311651</td>\n",
       "      <td>41.311651</td>\n",
       "      <td>40.148349</td>\n",
       "      <td>41.023229</td>\n",
       "      <td>134200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-03</th>\n",
       "      <td>42.69</td>\n",
       "      <td>43.0500</td>\n",
       "      <td>42.3300</td>\n",
       "      <td>42.87</td>\n",
       "      <td>53900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.042457</td>\n",
       "      <td>41.388563</td>\n",
       "      <td>40.696350</td>\n",
       "      <td>41.215510</td>\n",
       "      <td>53900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-06</th>\n",
       "      <td>43.06</td>\n",
       "      <td>43.2600</td>\n",
       "      <td>41.6100</td>\n",
       "      <td>41.72</td>\n",
       "      <td>65600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.398177</td>\n",
       "      <td>41.590459</td>\n",
       "      <td>40.004138</td>\n",
       "      <td>40.109892</td>\n",
       "      <td>65600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-07</th>\n",
       "      <td>41.75</td>\n",
       "      <td>42.3900</td>\n",
       "      <td>41.5600</td>\n",
       "      <td>41.97</td>\n",
       "      <td>56400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.138735</td>\n",
       "      <td>40.754035</td>\n",
       "      <td>39.956067</td>\n",
       "      <td>40.350244</td>\n",
       "      <td>56400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-08</th>\n",
       "      <td>42.06</td>\n",
       "      <td>42.0600</td>\n",
       "      <td>41.3100</td>\n",
       "      <td>41.64</td>\n",
       "      <td>101200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.436771</td>\n",
       "      <td>40.436771</td>\n",
       "      <td>39.715716</td>\n",
       "      <td>40.032980</td>\n",
       "      <td>101200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-09</th>\n",
       "      <td>41.83</td>\n",
       "      <td>42.0800</td>\n",
       "      <td>41.1700</td>\n",
       "      <td>41.65</td>\n",
       "      <td>67400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.215647</td>\n",
       "      <td>40.455999</td>\n",
       "      <td>39.581119</td>\n",
       "      <td>40.042594</td>\n",
       "      <td>67400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-10</th>\n",
       "      <td>41.56</td>\n",
       "      <td>41.5600</td>\n",
       "      <td>40.9600</td>\n",
       "      <td>41.18</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.956067</td>\n",
       "      <td>39.956067</td>\n",
       "      <td>39.379223</td>\n",
       "      <td>39.590733</td>\n",
       "      <td>51800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-13</th>\n",
       "      <td>40.94</td>\n",
       "      <td>41.9000</td>\n",
       "      <td>40.2600</td>\n",
       "      <td>40.64</td>\n",
       "      <td>86000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.359995</td>\n",
       "      <td>40.282946</td>\n",
       "      <td>38.706238</td>\n",
       "      <td>39.071573</td>\n",
       "      <td>86000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-14</th>\n",
       "      <td>41.35</td>\n",
       "      <td>42.4900</td>\n",
       "      <td>41.3500</td>\n",
       "      <td>42.48</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.754172</td>\n",
       "      <td>40.850176</td>\n",
       "      <td>39.754172</td>\n",
       "      <td>40.840562</td>\n",
       "      <td>90000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-15</th>\n",
       "      <td>42.69</td>\n",
       "      <td>44.0100</td>\n",
       "      <td>42.2500</td>\n",
       "      <td>43.84</td>\n",
       "      <td>94800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.042457</td>\n",
       "      <td>42.311514</td>\n",
       "      <td>40.619438</td>\n",
       "      <td>42.148075</td>\n",
       "      <td>94800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-16</th>\n",
       "      <td>43.90</td>\n",
       "      <td>44.8200</td>\n",
       "      <td>43.4400</td>\n",
       "      <td>44.61</td>\n",
       "      <td>91700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.205759</td>\n",
       "      <td>43.090253</td>\n",
       "      <td>41.763512</td>\n",
       "      <td>42.888358</td>\n",
       "      <td>91700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-17</th>\n",
       "      <td>44.63</td>\n",
       "      <td>44.6300</td>\n",
       "      <td>43.7800</td>\n",
       "      <td>43.89</td>\n",
       "      <td>53200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.907586</td>\n",
       "      <td>42.907586</td>\n",
       "      <td>42.090390</td>\n",
       "      <td>42.196145</td>\n",
       "      <td>53200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-21</th>\n",
       "      <td>44.01</td>\n",
       "      <td>44.2600</td>\n",
       "      <td>43.8000</td>\n",
       "      <td>44.00</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.311514</td>\n",
       "      <td>42.551866</td>\n",
       "      <td>42.109618</td>\n",
       "      <td>42.301900</td>\n",
       "      <td>38000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-22</th>\n",
       "      <td>43.40</td>\n",
       "      <td>43.8000</td>\n",
       "      <td>42.6000</td>\n",
       "      <td>43.64</td>\n",
       "      <td>103200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.725056</td>\n",
       "      <td>42.109618</td>\n",
       "      <td>40.955930</td>\n",
       "      <td>41.955793</td>\n",
       "      <td>103200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-23</th>\n",
       "      <td>43.37</td>\n",
       "      <td>43.5300</td>\n",
       "      <td>42.8200</td>\n",
       "      <td>43.46</td>\n",
       "      <td>84600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.696214</td>\n",
       "      <td>41.850039</td>\n",
       "      <td>41.167440</td>\n",
       "      <td>41.782740</td>\n",
       "      <td>84600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-24</th>\n",
       "      <td>43.25</td>\n",
       "      <td>43.2500</td>\n",
       "      <td>41.9700</td>\n",
       "      <td>42.44</td>\n",
       "      <td>79200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.580845</td>\n",
       "      <td>41.580845</td>\n",
       "      <td>40.350244</td>\n",
       "      <td>40.802105</td>\n",
       "      <td>79200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-27</th>\n",
       "      <td>42.47</td>\n",
       "      <td>42.6600</td>\n",
       "      <td>41.8000</td>\n",
       "      <td>42.12</td>\n",
       "      <td>103200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.830947</td>\n",
       "      <td>41.013615</td>\n",
       "      <td>40.186805</td>\n",
       "      <td>40.494455</td>\n",
       "      <td>103200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-28</th>\n",
       "      <td>42.29</td>\n",
       "      <td>42.8500</td>\n",
       "      <td>41.8100</td>\n",
       "      <td>42.82</td>\n",
       "      <td>83600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.657894</td>\n",
       "      <td>41.196282</td>\n",
       "      <td>40.196419</td>\n",
       "      <td>41.167440</td>\n",
       "      <td>83600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-29</th>\n",
       "      <td>42.53</td>\n",
       "      <td>43.3700</td>\n",
       "      <td>42.0600</td>\n",
       "      <td>42.98</td>\n",
       "      <td>149600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.888632</td>\n",
       "      <td>41.696214</td>\n",
       "      <td>40.436771</td>\n",
       "      <td>41.321265</td>\n",
       "      <td>149600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-30</th>\n",
       "      <td>43.22</td>\n",
       "      <td>44.0400</td>\n",
       "      <td>42.9100</td>\n",
       "      <td>43.47</td>\n",
       "      <td>53600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.552003</td>\n",
       "      <td>42.340356</td>\n",
       "      <td>41.253966</td>\n",
       "      <td>41.792354</td>\n",
       "      <td>53600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-31</th>\n",
       "      <td>42.82</td>\n",
       "      <td>43.9200</td>\n",
       "      <td>42.7100</td>\n",
       "      <td>43.44</td>\n",
       "      <td>60800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.167440</td>\n",
       "      <td>42.224987</td>\n",
       "      <td>41.061685</td>\n",
       "      <td>41.763512</td>\n",
       "      <td>60800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-03</th>\n",
       "      <td>43.41</td>\n",
       "      <td>43.5400</td>\n",
       "      <td>42.0700</td>\n",
       "      <td>42.45</td>\n",
       "      <td>106300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.734670</td>\n",
       "      <td>41.859653</td>\n",
       "      <td>40.446385</td>\n",
       "      <td>40.811719</td>\n",
       "      <td>106300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-04</th>\n",
       "      <td>42.76</td>\n",
       "      <td>43.4300</td>\n",
       "      <td>42.1000</td>\n",
       "      <td>42.85</td>\n",
       "      <td>75300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.109755</td>\n",
       "      <td>41.753898</td>\n",
       "      <td>40.475227</td>\n",
       "      <td>41.196282</td>\n",
       "      <td>75300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-05</th>\n",
       "      <td>42.71</td>\n",
       "      <td>43.2300</td>\n",
       "      <td>42.6100</td>\n",
       "      <td>42.90</td>\n",
       "      <td>101200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.061685</td>\n",
       "      <td>41.561617</td>\n",
       "      <td>40.965544</td>\n",
       "      <td>41.244352</td>\n",
       "      <td>101200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-06</th>\n",
       "      <td>43.17</td>\n",
       "      <td>44.0400</td>\n",
       "      <td>42.9400</td>\n",
       "      <td>43.13</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.503932</td>\n",
       "      <td>42.340356</td>\n",
       "      <td>41.282809</td>\n",
       "      <td>41.465476</td>\n",
       "      <td>110000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-07</th>\n",
       "      <td>43.50</td>\n",
       "      <td>43.6600</td>\n",
       "      <td>43.0000</td>\n",
       "      <td>43.41</td>\n",
       "      <td>117300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.821196</td>\n",
       "      <td>41.975022</td>\n",
       "      <td>41.340493</td>\n",
       "      <td>41.734670</td>\n",
       "      <td>117300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-10</th>\n",
       "      <td>43.51</td>\n",
       "      <td>43.6000</td>\n",
       "      <td>43.1900</td>\n",
       "      <td>43.34</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.830811</td>\n",
       "      <td>41.917337</td>\n",
       "      <td>41.523160</td>\n",
       "      <td>41.667371</td>\n",
       "      <td>120000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-11</th>\n",
       "      <td>43.53</td>\n",
       "      <td>44.6100</td>\n",
       "      <td>43.4600</td>\n",
       "      <td>44.34</td>\n",
       "      <td>68400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.850039</td>\n",
       "      <td>42.888358</td>\n",
       "      <td>41.782740</td>\n",
       "      <td>42.628778</td>\n",
       "      <td>68400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-12</th>\n",
       "      <td>44.23</td>\n",
       "      <td>44.6600</td>\n",
       "      <td>43.7000</td>\n",
       "      <td>44.53</td>\n",
       "      <td>94200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.523023</td>\n",
       "      <td>42.936428</td>\n",
       "      <td>42.013478</td>\n",
       "      <td>42.811445</td>\n",
       "      <td>94200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-13</th>\n",
       "      <td>44.05</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>44.0500</td>\n",
       "      <td>44.85</td>\n",
       "      <td>57000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.349970</td>\n",
       "      <td>43.263307</td>\n",
       "      <td>42.349970</td>\n",
       "      <td>43.119096</td>\n",
       "      <td>57000.0</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>2014-11-18</th>\n",
       "      <td>56.90</td>\n",
       "      <td>57.7800</td>\n",
       "      <td>56.9000</td>\n",
       "      <td>57.19</td>\n",
       "      <td>67840.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.242149</td>\n",
       "      <td>56.096509</td>\n",
       "      <td>55.242149</td>\n",
       "      <td>55.523699</td>\n",
       "      <td>67840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-19</th>\n",
       "      <td>56.29</td>\n",
       "      <td>57.1800</td>\n",
       "      <td>55.3100</td>\n",
       "      <td>55.59</td>\n",
       "      <td>75106.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.649922</td>\n",
       "      <td>55.513991</td>\n",
       "      <td>53.698476</td>\n",
       "      <td>53.970317</td>\n",
       "      <td>75106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-20</th>\n",
       "      <td>54.84</td>\n",
       "      <td>56.5200</td>\n",
       "      <td>54.7300</td>\n",
       "      <td>56.46</td>\n",
       "      <td>41728.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53.242170</td>\n",
       "      <td>54.873221</td>\n",
       "      <td>53.135375</td>\n",
       "      <td>54.814969</td>\n",
       "      <td>41728.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-21</th>\n",
       "      <td>57.21</td>\n",
       "      <td>57.4100</td>\n",
       "      <td>55.2800</td>\n",
       "      <td>55.70</td>\n",
       "      <td>74281.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.543117</td>\n",
       "      <td>55.737289</td>\n",
       "      <td>53.669350</td>\n",
       "      <td>54.077112</td>\n",
       "      <td>74281.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-24</th>\n",
       "      <td>55.79</td>\n",
       "      <td>56.2100</td>\n",
       "      <td>55.1000</td>\n",
       "      <td>56.04</td>\n",
       "      <td>85616.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.164490</td>\n",
       "      <td>54.572253</td>\n",
       "      <td>53.494594</td>\n",
       "      <td>54.407206</td>\n",
       "      <td>85616.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-25</th>\n",
       "      <td>56.32</td>\n",
       "      <td>56.8600</td>\n",
       "      <td>55.9000</td>\n",
       "      <td>56.72</td>\n",
       "      <td>53801.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.679048</td>\n",
       "      <td>55.203314</td>\n",
       "      <td>54.271285</td>\n",
       "      <td>55.067393</td>\n",
       "      <td>53801.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-26</th>\n",
       "      <td>56.35</td>\n",
       "      <td>57.8400</td>\n",
       "      <td>56.0400</td>\n",
       "      <td>57.55</td>\n",
       "      <td>102940.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.708174</td>\n",
       "      <td>56.154761</td>\n",
       "      <td>54.407206</td>\n",
       "      <td>55.873210</td>\n",
       "      <td>102940.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-28</th>\n",
       "      <td>57.78</td>\n",
       "      <td>57.9700</td>\n",
       "      <td>57.1600</td>\n",
       "      <td>57.24</td>\n",
       "      <td>43067.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.096509</td>\n",
       "      <td>56.280973</td>\n",
       "      <td>55.494573</td>\n",
       "      <td>55.572243</td>\n",
       "      <td>43067.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-01</th>\n",
       "      <td>57.38</td>\n",
       "      <td>57.5400</td>\n",
       "      <td>56.4179</td>\n",
       "      <td>56.51</td>\n",
       "      <td>70676.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.708164</td>\n",
       "      <td>55.863502</td>\n",
       "      <td>54.774095</td>\n",
       "      <td>54.863512</td>\n",
       "      <td>70676.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-02</th>\n",
       "      <td>56.68</td>\n",
       "      <td>57.8400</td>\n",
       "      <td>56.5800</td>\n",
       "      <td>56.90</td>\n",
       "      <td>102359.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.028559</td>\n",
       "      <td>56.154761</td>\n",
       "      <td>54.931473</td>\n",
       "      <td>55.242149</td>\n",
       "      <td>102359.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-03</th>\n",
       "      <td>56.78</td>\n",
       "      <td>57.9300</td>\n",
       "      <td>56.6640</td>\n",
       "      <td>57.21</td>\n",
       "      <td>86331.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.125645</td>\n",
       "      <td>56.242139</td>\n",
       "      <td>55.013025</td>\n",
       "      <td>55.543117</td>\n",
       "      <td>86331.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-04</th>\n",
       "      <td>57.01</td>\n",
       "      <td>57.7500</td>\n",
       "      <td>56.4900</td>\n",
       "      <td>57.01</td>\n",
       "      <td>76391.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.348944</td>\n",
       "      <td>56.067383</td>\n",
       "      <td>54.844095</td>\n",
       "      <td>55.348944</td>\n",
       "      <td>76391.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-05</th>\n",
       "      <td>57.03</td>\n",
       "      <td>57.8600</td>\n",
       "      <td>57.0300</td>\n",
       "      <td>57.60</td>\n",
       "      <td>76850.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.368361</td>\n",
       "      <td>56.174178</td>\n",
       "      <td>55.368361</td>\n",
       "      <td>55.921754</td>\n",
       "      <td>76850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-08</th>\n",
       "      <td>57.29</td>\n",
       "      <td>58.0000</td>\n",
       "      <td>56.0950</td>\n",
       "      <td>56.44</td>\n",
       "      <td>87541.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.620786</td>\n",
       "      <td>56.310099</td>\n",
       "      <td>54.460604</td>\n",
       "      <td>54.795552</td>\n",
       "      <td>87541.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-09</th>\n",
       "      <td>56.30</td>\n",
       "      <td>59.8200</td>\n",
       "      <td>56.1100</td>\n",
       "      <td>59.78</td>\n",
       "      <td>124703.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.659631</td>\n",
       "      <td>58.077071</td>\n",
       "      <td>54.475167</td>\n",
       "      <td>58.038237</td>\n",
       "      <td>124703.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-10</th>\n",
       "      <td>59.27</td>\n",
       "      <td>59.9799</td>\n",
       "      <td>58.0000</td>\n",
       "      <td>58.21</td>\n",
       "      <td>59283.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>57.543096</td>\n",
       "      <td>58.232312</td>\n",
       "      <td>56.310099</td>\n",
       "      <td>56.513980</td>\n",
       "      <td>59283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-11</th>\n",
       "      <td>58.52</td>\n",
       "      <td>59.3200</td>\n",
       "      <td>58.1000</td>\n",
       "      <td>58.20</td>\n",
       "      <td>70049.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.814948</td>\n",
       "      <td>57.591639</td>\n",
       "      <td>56.407185</td>\n",
       "      <td>56.504272</td>\n",
       "      <td>70049.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-12</th>\n",
       "      <td>58.09</td>\n",
       "      <td>58.0300</td>\n",
       "      <td>56.9800</td>\n",
       "      <td>57.25</td>\n",
       "      <td>45533.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.397477</td>\n",
       "      <td>56.339225</td>\n",
       "      <td>55.319818</td>\n",
       "      <td>55.581951</td>\n",
       "      <td>45533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-15</th>\n",
       "      <td>57.46</td>\n",
       "      <td>57.8500</td>\n",
       "      <td>56.2400</td>\n",
       "      <td>56.33</td>\n",
       "      <td>58929.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.785833</td>\n",
       "      <td>56.164469</td>\n",
       "      <td>54.601379</td>\n",
       "      <td>54.688757</td>\n",
       "      <td>58929.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-16</th>\n",
       "      <td>56.66</td>\n",
       "      <td>57.0800</td>\n",
       "      <td>55.9600</td>\n",
       "      <td>56.01</td>\n",
       "      <td>78871.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.009142</td>\n",
       "      <td>55.416904</td>\n",
       "      <td>54.329537</td>\n",
       "      <td>54.378080</td>\n",
       "      <td>78871.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-17</th>\n",
       "      <td>56.05</td>\n",
       "      <td>57.0000</td>\n",
       "      <td>55.5400</td>\n",
       "      <td>56.94</td>\n",
       "      <td>130431.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.416915</td>\n",
       "      <td>55.339235</td>\n",
       "      <td>53.921774</td>\n",
       "      <td>55.280983</td>\n",
       "      <td>130431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-18</th>\n",
       "      <td>57.86</td>\n",
       "      <td>58.0800</td>\n",
       "      <td>56.7850</td>\n",
       "      <td>58.04</td>\n",
       "      <td>79881.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.174178</td>\n",
       "      <td>56.387768</td>\n",
       "      <td>55.130500</td>\n",
       "      <td>56.348934</td>\n",
       "      <td>79881.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-19</th>\n",
       "      <td>57.10</td>\n",
       "      <td>58.4600</td>\n",
       "      <td>57.0500</td>\n",
       "      <td>57.62</td>\n",
       "      <td>304613.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.436322</td>\n",
       "      <td>56.756696</td>\n",
       "      <td>55.387778</td>\n",
       "      <td>55.941171</td>\n",
       "      <td>304613.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-22</th>\n",
       "      <td>57.42</td>\n",
       "      <td>58.7500</td>\n",
       "      <td>57.2510</td>\n",
       "      <td>58.64</td>\n",
       "      <td>42989.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.746998</td>\n",
       "      <td>57.038247</td>\n",
       "      <td>55.582922</td>\n",
       "      <td>56.931452</td>\n",
       "      <td>42989.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-23</th>\n",
       "      <td>58.81</td>\n",
       "      <td>59.8400</td>\n",
       "      <td>58.0200</td>\n",
       "      <td>59.63</td>\n",
       "      <td>65233.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>57.096499</td>\n",
       "      <td>58.096488</td>\n",
       "      <td>56.329516</td>\n",
       "      <td>57.892607</td>\n",
       "      <td>65233.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-24</th>\n",
       "      <td>59.81</td>\n",
       "      <td>60.7600</td>\n",
       "      <td>59.4900</td>\n",
       "      <td>59.82</td>\n",
       "      <td>57333.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>58.067363</td>\n",
       "      <td>58.989683</td>\n",
       "      <td>57.756686</td>\n",
       "      <td>58.077071</td>\n",
       "      <td>57333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-26</th>\n",
       "      <td>60.71</td>\n",
       "      <td>60.9800</td>\n",
       "      <td>60.2000</td>\n",
       "      <td>60.53</td>\n",
       "      <td>42086.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>58.941140</td>\n",
       "      <td>59.203273</td>\n",
       "      <td>58.445999</td>\n",
       "      <td>58.766384</td>\n",
       "      <td>42086.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-29</th>\n",
       "      <td>61.08</td>\n",
       "      <td>61.2700</td>\n",
       "      <td>60.5200</td>\n",
       "      <td>60.72</td>\n",
       "      <td>41590.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>59.300359</td>\n",
       "      <td>59.484824</td>\n",
       "      <td>58.756676</td>\n",
       "      <td>58.950849</td>\n",
       "      <td>41590.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-30</th>\n",
       "      <td>61.05</td>\n",
       "      <td>60.8050</td>\n",
       "      <td>60.2500</td>\n",
       "      <td>60.43</td>\n",
       "      <td>40238.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>59.271234</td>\n",
       "      <td>59.033372</td>\n",
       "      <td>58.494543</td>\n",
       "      <td>58.669298</td>\n",
       "      <td>40238.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>60.57</td>\n",
       "      <td>61.1500</td>\n",
       "      <td>59.9900</td>\n",
       "      <td>60.27</td>\n",
       "      <td>73403.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>58.805219</td>\n",
       "      <td>59.368320</td>\n",
       "      <td>58.242118</td>\n",
       "      <td>58.513960</td>\n",
       "      <td>73403.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>249 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Open     High      Low  Close    Volume  Ex-Dividend  \\\n",
       "Date                                                                \n",
       "2014-01-02  42.97  42.9700  41.7600  42.67  134200.0          0.0   \n",
       "2014-01-03  42.69  43.0500  42.3300  42.87   53900.0          0.0   \n",
       "2014-01-06  43.06  43.2600  41.6100  41.72   65600.0          0.0   \n",
       "2014-01-07  41.75  42.3900  41.5600  41.97   56400.0          0.0   \n",
       "2014-01-08  42.06  42.0600  41.3100  41.64  101200.0          0.0   \n",
       "2014-01-09  41.83  42.0800  41.1700  41.65   67400.0          0.0   \n",
       "2014-01-10  41.56  41.5600  40.9600  41.18   51800.0          0.0   \n",
       "2014-01-13  40.94  41.9000  40.2600  40.64   86000.0          0.0   \n",
       "2014-01-14  41.35  42.4900  41.3500  42.48   90000.0          0.0   \n",
       "2014-01-15  42.69  44.0100  42.2500  43.84   94800.0          0.0   \n",
       "2014-01-16  43.90  44.8200  43.4400  44.61   91700.0          0.0   \n",
       "2014-01-17  44.63  44.6300  43.7800  43.89   53200.0          0.0   \n",
       "2014-01-21  44.01  44.2600  43.8000  44.00   38000.0          0.0   \n",
       "2014-01-22  43.40  43.8000  42.6000  43.64  103200.0          0.0   \n",
       "2014-01-23  43.37  43.5300  42.8200  43.46   84600.0          0.0   \n",
       "2014-01-24  43.25  43.2500  41.9700  42.44   79200.0          0.0   \n",
       "2014-01-27  42.47  42.6600  41.8000  42.12  103200.0          0.0   \n",
       "2014-01-28  42.29  42.8500  41.8100  42.82   83600.0          0.0   \n",
       "2014-01-29  42.53  43.3700  42.0600  42.98  149600.0          0.0   \n",
       "2014-01-30  43.22  44.0400  42.9100  43.47   53600.0          0.0   \n",
       "2014-01-31  42.82  43.9200  42.7100  43.44   60800.0          0.0   \n",
       "2014-02-03  43.41  43.5400  42.0700  42.45  106300.0          0.0   \n",
       "2014-02-04  42.76  43.4300  42.1000  42.85   75300.0          0.0   \n",
       "2014-02-05  42.71  43.2300  42.6100  42.90  101200.0          0.0   \n",
       "2014-02-06  43.17  44.0400  42.9400  43.13  110000.0          0.0   \n",
       "2014-02-07  43.50  43.6600  43.0000  43.41  117300.0          0.0   \n",
       "2014-02-10  43.51  43.6000  43.1900  43.34  120000.0          0.0   \n",
       "2014-02-11  43.53  44.6100  43.4600  44.34   68400.0          0.0   \n",
       "2014-02-12  44.23  44.6600  43.7000  44.53   94200.0          0.0   \n",
       "2014-02-13  44.05  45.0000  44.0500  44.85   57000.0          0.0   \n",
       "...           ...      ...      ...    ...       ...          ...   \n",
       "2014-11-18  56.90  57.7800  56.9000  57.19   67840.0          0.0   \n",
       "2014-11-19  56.29  57.1800  55.3100  55.59   75106.0          0.0   \n",
       "2014-11-20  54.84  56.5200  54.7300  56.46   41728.0          0.0   \n",
       "2014-11-21  57.21  57.4100  55.2800  55.70   74281.0          0.0   \n",
       "2014-11-24  55.79  56.2100  55.1000  56.04   85616.0          0.0   \n",
       "2014-11-25  56.32  56.8600  55.9000  56.72   53801.0          0.0   \n",
       "2014-11-26  56.35  57.8400  56.0400  57.55  102940.0          0.0   \n",
       "2014-11-28  57.78  57.9700  57.1600  57.24   43067.0          0.0   \n",
       "2014-12-01  57.38  57.5400  56.4179  56.51   70676.0          0.0   \n",
       "2014-12-02  56.68  57.8400  56.5800  56.90  102359.0          0.0   \n",
       "2014-12-03  56.78  57.9300  56.6640  57.21   86331.0          0.0   \n",
       "2014-12-04  57.01  57.7500  56.4900  57.01   76391.0          0.0   \n",
       "2014-12-05  57.03  57.8600  57.0300  57.60   76850.0          0.0   \n",
       "2014-12-08  57.29  58.0000  56.0950  56.44   87541.0          0.0   \n",
       "2014-12-09  56.30  59.8200  56.1100  59.78  124703.0          0.0   \n",
       "2014-12-10  59.27  59.9799  58.0000  58.21   59283.0          0.0   \n",
       "2014-12-11  58.52  59.3200  58.1000  58.20   70049.0          0.0   \n",
       "2014-12-12  58.09  58.0300  56.9800  57.25   45533.0          0.0   \n",
       "2014-12-15  57.46  57.8500  56.2400  56.33   58929.0          0.0   \n",
       "2014-12-16  56.66  57.0800  55.9600  56.01   78871.0          0.0   \n",
       "2014-12-17  56.05  57.0000  55.5400  56.94  130431.0          0.0   \n",
       "2014-12-18  57.86  58.0800  56.7850  58.04   79881.0          0.0   \n",
       "2014-12-19  57.10  58.4600  57.0500  57.62  304613.0          0.0   \n",
       "2014-12-22  57.42  58.7500  57.2510  58.64   42989.0          0.0   \n",
       "2014-12-23  58.81  59.8400  58.0200  59.63   65233.0          0.0   \n",
       "2014-12-24  59.81  60.7600  59.4900  59.82   57333.0          0.0   \n",
       "2014-12-26  60.71  60.9800  60.2000  60.53   42086.0          0.0   \n",
       "2014-12-29  61.08  61.2700  60.5200  60.72   41590.0          0.0   \n",
       "2014-12-30  61.05  60.8050  60.2500  60.43   40238.0          0.0   \n",
       "2014-12-31  60.57  61.1500  59.9900  60.27   73403.0          0.0   \n",
       "\n",
       "            Split Ratio  Adj. Open  Adj. High   Adj. Low  Adj. Close  \\\n",
       "Date                                                                   \n",
       "2014-01-02          1.0  41.311651  41.311651  40.148349   41.023229   \n",
       "2014-01-03          1.0  41.042457  41.388563  40.696350   41.215510   \n",
       "2014-01-06          1.0  41.398177  41.590459  40.004138   40.109892   \n",
       "2014-01-07          1.0  40.138735  40.754035  39.956067   40.350244   \n",
       "2014-01-08          1.0  40.436771  40.436771  39.715716   40.032980   \n",
       "2014-01-09          1.0  40.215647  40.455999  39.581119   40.042594   \n",
       "2014-01-10          1.0  39.956067  39.956067  39.379223   39.590733   \n",
       "2014-01-13          1.0  39.359995  40.282946  38.706238   39.071573   \n",
       "2014-01-14          1.0  39.754172  40.850176  39.754172   40.840562   \n",
       "2014-01-15          1.0  41.042457  42.311514  40.619438   42.148075   \n",
       "2014-01-16          1.0  42.205759  43.090253  41.763512   42.888358   \n",
       "2014-01-17          1.0  42.907586  42.907586  42.090390   42.196145   \n",
       "2014-01-21          1.0  42.311514  42.551866  42.109618   42.301900   \n",
       "2014-01-22          1.0  41.725056  42.109618  40.955930   41.955793   \n",
       "2014-01-23          1.0  41.696214  41.850039  41.167440   41.782740   \n",
       "2014-01-24          1.0  41.580845  41.580845  40.350244   40.802105   \n",
       "2014-01-27          1.0  40.830947  41.013615  40.186805   40.494455   \n",
       "2014-01-28          1.0  40.657894  41.196282  40.196419   41.167440   \n",
       "2014-01-29          1.0  40.888632  41.696214  40.436771   41.321265   \n",
       "2014-01-30          1.0  41.552003  42.340356  41.253966   41.792354   \n",
       "2014-01-31          1.0  41.167440  42.224987  41.061685   41.763512   \n",
       "2014-02-03          1.0  41.734670  41.859653  40.446385   40.811719   \n",
       "2014-02-04          1.0  41.109755  41.753898  40.475227   41.196282   \n",
       "2014-02-05          1.0  41.061685  41.561617  40.965544   41.244352   \n",
       "2014-02-06          1.0  41.503932  42.340356  41.282809   41.465476   \n",
       "2014-02-07          1.0  41.821196  41.975022  41.340493   41.734670   \n",
       "2014-02-10          1.0  41.830811  41.917337  41.523160   41.667371   \n",
       "2014-02-11          1.0  41.850039  42.888358  41.782740   42.628778   \n",
       "2014-02-12          1.0  42.523023  42.936428  42.013478   42.811445   \n",
       "2014-02-13          1.0  42.349970  43.263307  42.349970   43.119096   \n",
       "...                 ...        ...        ...        ...         ...   \n",
       "2014-11-18          1.0  55.242149  56.096509  55.242149   55.523699   \n",
       "2014-11-19          1.0  54.649922  55.513991  53.698476   53.970317   \n",
       "2014-11-20          1.0  53.242170  54.873221  53.135375   54.814969   \n",
       "2014-11-21          1.0  55.543117  55.737289  53.669350   54.077112   \n",
       "2014-11-24          1.0  54.164490  54.572253  53.494594   54.407206   \n",
       "2014-11-25          1.0  54.679048  55.203314  54.271285   55.067393   \n",
       "2014-11-26          1.0  54.708174  56.154761  54.407206   55.873210   \n",
       "2014-11-28          1.0  56.096509  56.280973  55.494573   55.572243   \n",
       "2014-12-01          1.0  55.708164  55.863502  54.774095   54.863512   \n",
       "2014-12-02          1.0  55.028559  56.154761  54.931473   55.242149   \n",
       "2014-12-03          1.0  55.125645  56.242139  55.013025   55.543117   \n",
       "2014-12-04          1.0  55.348944  56.067383  54.844095   55.348944   \n",
       "2014-12-05          1.0  55.368361  56.174178  55.368361   55.921754   \n",
       "2014-12-08          1.0  55.620786  56.310099  54.460604   54.795552   \n",
       "2014-12-09          1.0  54.659631  58.077071  54.475167   58.038237   \n",
       "2014-12-10          1.0  57.543096  58.232312  56.310099   56.513980   \n",
       "2014-12-11          1.0  56.814948  57.591639  56.407185   56.504272   \n",
       "2014-12-12          1.0  56.397477  56.339225  55.319818   55.581951   \n",
       "2014-12-15          1.0  55.785833  56.164469  54.601379   54.688757   \n",
       "2014-12-16          1.0  55.009142  55.416904  54.329537   54.378080   \n",
       "2014-12-17          1.0  54.416915  55.339235  53.921774   55.280983   \n",
       "2014-12-18          1.0  56.174178  56.387768  55.130500   56.348934   \n",
       "2014-12-19          1.0  55.436322  56.756696  55.387778   55.941171   \n",
       "2014-12-22          1.0  55.746998  57.038247  55.582922   56.931452   \n",
       "2014-12-23          1.0  57.096499  58.096488  56.329516   57.892607   \n",
       "2014-12-24          1.0  58.067363  58.989683  57.756686   58.077071   \n",
       "2014-12-26          1.0  58.941140  59.203273  58.445999   58.766384   \n",
       "2014-12-29          1.0  59.300359  59.484824  58.756676   58.950849   \n",
       "2014-12-30          1.0  59.271234  59.033372  58.494543   58.669298   \n",
       "2014-12-31          1.0  58.805219  59.368320  58.242118   58.513960   \n",
       "\n",
       "            Adj. Volume  \n",
       "Date                     \n",
       "2014-01-02     134200.0  \n",
       "2014-01-03      53900.0  \n",
       "2014-01-06      65600.0  \n",
       "2014-01-07      56400.0  \n",
       "2014-01-08     101200.0  \n",
       "2014-01-09      67400.0  \n",
       "2014-01-10      51800.0  \n",
       "2014-01-13      86000.0  \n",
       "2014-01-14      90000.0  \n",
       "2014-01-15      94800.0  \n",
       "2014-01-16      91700.0  \n",
       "2014-01-17      53200.0  \n",
       "2014-01-21      38000.0  \n",
       "2014-01-22     103200.0  \n",
       "2014-01-23      84600.0  \n",
       "2014-01-24      79200.0  \n",
       "2014-01-27     103200.0  \n",
       "2014-01-28      83600.0  \n",
       "2014-01-29     149600.0  \n",
       "2014-01-30      53600.0  \n",
       "2014-01-31      60800.0  \n",
       "2014-02-03     106300.0  \n",
       "2014-02-04      75300.0  \n",
       "2014-02-05     101200.0  \n",
       "2014-02-06     110000.0  \n",
       "2014-02-07     117300.0  \n",
       "2014-02-10     120000.0  \n",
       "2014-02-11      68400.0  \n",
       "2014-02-12      94200.0  \n",
       "2014-02-13      57000.0  \n",
       "...                 ...  \n",
       "2014-11-18      67840.0  \n",
       "2014-11-19      75106.0  \n",
       "2014-11-20      41728.0  \n",
       "2014-11-21      74281.0  \n",
       "2014-11-24      85616.0  \n",
       "2014-11-25      53801.0  \n",
       "2014-11-26     102940.0  \n",
       "2014-11-28      43067.0  \n",
       "2014-12-01      70676.0  \n",
       "2014-12-02     102359.0  \n",
       "2014-12-03      86331.0  \n",
       "2014-12-04      76391.0  \n",
       "2014-12-05      76850.0  \n",
       "2014-12-08      87541.0  \n",
       "2014-12-09     124703.0  \n",
       "2014-12-10      59283.0  \n",
       "2014-12-11      70049.0  \n",
       "2014-12-12      45533.0  \n",
       "2014-12-15      58929.0  \n",
       "2014-12-16      78871.0  \n",
       "2014-12-17     130431.0  \n",
       "2014-12-18      79881.0  \n",
       "2014-12-19     304613.0  \n",
       "2014-12-22      42989.0  \n",
       "2014-12-23      65233.0  \n",
       "2014-12-24      57333.0  \n",
       "2014-12-26      42086.0  \n",
       "2014-12-29      41590.0  \n",
       "2014-12-30      40238.0  \n",
       "2014-12-31      73403.0  \n",
       "\n",
       "[249 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = quandl.get('WIKI/NP', start_date='2014-01-01', end_date='2015-01-01',)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ajHurliman/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:9: FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in a future version, replace with \n",
      "\tSeries.rolling(window=20,center=False).mean()\n",
      "/Users/ajHurliman/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:12: FutureWarning: pd.rolling_std is deprecated for Series and will be removed in a future version, replace with \n",
      "\tSeries.rolling(window=20,center=False).std()\n"
     ]
    },
    {
     "data": {
      "image/png": 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zS5txs8tqDxBCIKXMIskL62/q7t27GTBgQBYV812GDBmCh4cHH3/8cQGv7L9J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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a67d350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "def get_daily_averages(values):\n",
    "    daily_avgs = values.copy()\n",
    "    daily_avgs['daily_avg'] = (daily_avgs['High'] + daily_avgs['Low'] + daily_avgs['Close'])/3\n",
    "    return daily_avgs['daily_avg']\n",
    "\n",
    "def get_rolling_mean(values, window):\n",
    "    return pd.rolling_mean(values, window=window)\n",
    "\n",
    "def get_rolling_std(values, window):\n",
    "    return pd.rolling_std(values, window=window)\n",
    "\n",
    "def get_bollinger_bands(rm, rstd):\n",
    "    upper_band = rm + (2 * rstd)\n",
    "    lower_band = rm - (2 * rstd)\n",
    "    return upper_band, lower_band\n",
    "\n",
    "\n",
    "daily_avgs = get_daily_averages(data)\n",
    "rm = get_rolling_mean(daily_avgs, 20)\n",
    "rstd = get_rolling_std(daily_avgs, 20)\n",
    "upper_band, lower_band = get_bollinger_bands(rm, rstd)\n",
    "\n",
    "ax = daily_avgs.plot(title=\"Bollinger Bands\", label=\"NP\")\n",
    "rm.plot(label='Rolling mean', ax=ax)\n",
    "upper_band.plot(label='upper band', ax=ax)\n",
    "lower_band.plot(label='lower band', ax=ax)\n",
    "ax.legend(loc='upper left', bbox_to_anchor=(1,1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json = data.to_json()\n",
    "json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ajHurliman/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:9: FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in a future version, replace with \n",
      "\tSeries.rolling(window=20,center=False).mean()\n",
      "/Users/ajHurliman/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:12: FutureWarning: pd.rolling_std is deprecated for Series and will be removed in a future version, replace with \n",
      "\tSeries.rolling(window=20,center=False).std()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2014-01-02         NaN\n",
       "2014-01-03         NaN\n",
       "2014-01-06         NaN\n",
       "2014-01-07         NaN\n",
       "2014-01-08         NaN\n",
       "2014-01-09         NaN\n",
       "2014-01-10         NaN\n",
       "2014-01-13         NaN\n",
       "2014-01-14         NaN\n",
       "2014-01-15         NaN\n",
       "2014-01-16         NaN\n",
       "2014-01-17         NaN\n",
       "2014-01-21         NaN\n",
       "2014-01-22         NaN\n",
       "2014-01-23         NaN\n",
       "2014-01-24         NaN\n",
       "2014-01-27         NaN\n",
       "2014-01-28         NaN\n",
       "2014-01-29         NaN\n",
       "2014-01-30    0.944387\n",
       "2014-01-31    0.956499\n",
       "2014-02-03    0.956388\n",
       "2014-02-04    0.949636\n",
       "2014-02-05    0.934141\n",
       "2014-02-06    0.906498\n",
       "2014-02-07    0.866083\n",
       "2014-02-10    0.772221\n",
       "2014-02-11    0.631650\n",
       "2014-02-12    0.621827\n",
       "2014-02-13    0.688817\n",
       "                ...   \n",
       "2014-11-18    1.675229\n",
       "2014-11-19    1.634096\n",
       "2014-11-20    1.664724\n",
       "2014-11-21    1.726356\n",
       "2014-11-24    1.814839\n",
       "2014-11-25    1.837549\n",
       "2014-11-26    1.851604\n",
       "2014-11-28    1.831213\n",
       "2014-12-01    1.787036\n",
       "2014-12-02    1.634705\n",
       "2014-12-03    1.320988\n",
       "2014-12-04    0.820953\n",
       "2014-12-05    0.770435\n",
       "2014-12-08    0.716298\n",
       "2014-12-09    0.760197\n",
       "2014-12-10    0.813590\n",
       "2014-12-11    0.847950\n",
       "2014-12-12    0.837332\n",
       "2014-12-15    0.833611\n",
       "2014-12-16    0.850230\n",
       "2014-12-17    0.857678\n",
       "2014-12-18    0.834383\n",
       "2014-12-19    0.794409\n",
       "2014-12-22    0.784064\n",
       "2014-12-23    0.804325\n",
       "2014-12-24    0.952915\n",
       "2014-12-26    1.146561\n",
       "2014-12-29    1.325992\n",
       "2014-12-30    1.408383\n",
       "2014-12-31    1.474264\n",
       "Name: daily_avg, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = quandl.get('WIKI/NP', start_date='2014-01-01', end_date='2015-01-01')\n",
    "\n",
    "daily_avgs = get_daily_averages(data)\n",
    "rm = get_rolling_mean(daily_avgs, 20)\n",
    "rstd = get_rolling_std(daily_avgs, 20)\n",
    "upper_band, lower_band = get_bollinger_bands(rm, rstd)\n",
    "\n",
    "# data\n",
    "rstd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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