diff --git a/README.rst b/README.rst
index e86f2bd..54aab23 100644
--- a/README.rst
+++ b/README.rst
@@ -21,7 +21,7 @@ Tiingo Python
      :target: https://pyup.io/repos/github/hydrosquall/tiingo-python/
      :alt: Updates
 
-.. image:: https://mybinder.org/badge_logo.svg 
+.. image:: https://mybinder.org/badge_logo.svg
      :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples%2Fbasic-usage-with-pandas.ipynb
      :alt: Launch Binder
 
@@ -36,10 +36,10 @@ Tiingo is a financial data platform that makes high quality financial tools avai
 Usage
 --------
 
-If you'd like to try this library without installing anything, click the button below. Otherwise, continue reading.
+If you'd like to try this library before installing, click below to open a folder of online runnable examples.
 
-.. image:: https://mybinder.org/badge_logo.svg 
-     :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples%2Fbasic-usage-with-pandas.ipynb
+.. image:: https://mybinder.org/badge_logo.svg
+     :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples
      :alt: Launch Binder
 
 
diff --git a/docs/index.rst b/docs/index.rst
index c2a5bd6..41390d4 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -19,7 +19,7 @@ Welcome to Tiingo Python's documentation!
     :target: https://codecov.io/gh/hydrosquall/tiingo-python
     :alt: Coverage
 
-.. image:: https://mybinder.org/badge_logo.svg 
+.. image:: https://mybinder.org/badge_logo.svg
      :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples%2Fbasic-usage-with-pandas.ipynb
      :alt: Launch Binder
 
@@ -45,7 +45,7 @@ Tiingo is a financial data platform that makes high quality financial tools avai
 
 If you'd like to try this library without installing anything, click the button below. Otherwise, continue reading.
 
-.. image:: https://mybinder.org/badge_logo.svg 
+.. image:: https://mybinder.org/badge_logo.svg
      :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples%2Fbasic-usage-with-pandas.ipynb
      :alt: Launch Binder
 
diff --git a/examples/peer-comparison-analysis.ipynb b/examples/peer-comparison-analysis.ipynb
new file mode 100644
index 0000000..09481e5
--- /dev/null
+++ b/examples/peer-comparison-analysis.ipynb
@@ -0,0 +1,2423 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "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>adjClose</th>\n",
+       "      <th>adjHigh</th>\n",
+       "      <th>adjLow</th>\n",
+       "      <th>adjOpen</th>\n",
+       "      <th>adjVolume</th>\n",
+       "      <th>close</th>\n",
+       "      <th>divCash</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>open</th>\n",
+       "      <th>splitFactor</th>\n",
+       "      <th>volume</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>5.200000e+02</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>520.0</td>\n",
+       "      <td>5.200000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>18.074767</td>\n",
+       "      <td>18.411541</td>\n",
+       "      <td>17.668075</td>\n",
+       "      <td>18.006340</td>\n",
+       "      <td>6.159148e+06</td>\n",
+       "      <td>18.085019</td>\n",
+       "      <td>0.000346</td>\n",
+       "      <td>18.421913</td>\n",
+       "      <td>17.678127</td>\n",
+       "      <td>18.016529</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6.159148e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>18.095398</td>\n",
+       "      <td>18.330301</td>\n",
+       "      <td>17.768455</td>\n",
+       "      <td>18.011581</td>\n",
+       "      <td>5.056756e+06</td>\n",
+       "      <td>18.125904</td>\n",
+       "      <td>0.007894</td>\n",
+       "      <td>18.361045</td>\n",
+       "      <td>17.798370</td>\n",
+       "      <td>18.041850</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.056756e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.710000</td>\n",
+       "      <td>1.780000</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>1.650000</td>\n",
+       "      <td>6.352690e+05</td>\n",
+       "      <td>1.710000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.780000</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>1.650000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6.352690e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.892500</td>\n",
+       "      <td>6.032500</td>\n",
+       "      <td>5.760000</td>\n",
+       "      <td>5.847500</td>\n",
+       "      <td>2.570019e+06</td>\n",
+       "      <td>5.892500</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.032500</td>\n",
+       "      <td>5.760000</td>\n",
+       "      <td>5.847500</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.570019e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>12.525000</td>\n",
+       "      <td>12.782500</td>\n",
+       "      <td>12.275000</td>\n",
+       "      <td>12.480000</td>\n",
+       "      <td>4.724221e+06</td>\n",
+       "      <td>12.525000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>12.782500</td>\n",
+       "      <td>12.275000</td>\n",
+       "      <td>12.480000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.724221e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>19.635000</td>\n",
+       "      <td>19.902275</td>\n",
+       "      <td>19.067500</td>\n",
+       "      <td>19.475000</td>\n",
+       "      <td>8.279120e+06</td>\n",
+       "      <td>19.635000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>19.902275</td>\n",
+       "      <td>19.067500</td>\n",
+       "      <td>19.475000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>8.279120e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>76.420000</td>\n",
+       "      <td>76.915083</td>\n",
+       "      <td>75.189233</td>\n",
+       "      <td>76.166882</td>\n",
+       "      <td>3.783066e+07</td>\n",
+       "      <td>76.420000</td>\n",
+       "      <td>0.180000</td>\n",
+       "      <td>77.100000</td>\n",
+       "      <td>75.370000</td>\n",
+       "      <td>76.350000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.783066e+07</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         adjClose     adjHigh      adjLow     adjOpen     adjVolume  \\\n",
+       "count  520.000000  520.000000  520.000000  520.000000  5.200000e+02   \n",
+       "mean    18.074767   18.411541   17.668075   18.006340  6.159148e+06   \n",
+       "std     18.095398   18.330301   17.768455   18.011581  5.056756e+06   \n",
+       "min      1.710000    1.780000    1.600000    1.650000  6.352690e+05   \n",
+       "25%      5.892500    6.032500    5.760000    5.847500  2.570019e+06   \n",
+       "50%     12.525000   12.782500   12.275000   12.480000  4.724221e+06   \n",
+       "75%     19.635000   19.902275   19.067500   19.475000  8.279120e+06   \n",
+       "max     76.420000   76.915083   75.189233   76.166882  3.783066e+07   \n",
+       "\n",
+       "            close     divCash        high         low        open  \\\n",
+       "count  520.000000  520.000000  520.000000  520.000000  520.000000   \n",
+       "mean    18.085019    0.000346   18.421913   17.678127   18.016529   \n",
+       "std     18.125904    0.007894   18.361045   17.798370   18.041850   \n",
+       "min      1.710000    0.000000    1.780000    1.600000    1.650000   \n",
+       "25%      5.892500    0.000000    6.032500    5.760000    5.847500   \n",
+       "50%     12.525000    0.000000   12.782500   12.275000   12.480000   \n",
+       "75%     19.635000    0.000000   19.902275   19.067500   19.475000   \n",
+       "max     76.420000    0.180000   77.100000   75.370000   76.350000   \n",
+       "\n",
+       "       splitFactor        volume  \n",
+       "count        520.0  5.200000e+02  \n",
+       "mean           1.0  6.159148e+06  \n",
+       "std            0.0  5.056756e+06  \n",
+       "min            1.0  6.352690e+05  \n",
+       "25%            1.0  2.570019e+06  \n",
+       "50%            1.0  4.724221e+06  \n",
+       "75%            1.0  8.279120e+06  \n",
+       "max            1.0  3.783066e+07  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tKey = 'YOUR_TIINGO_KEY'\n",
+    "%matplotlib inline\n",
+    "import pandas as pd\n",
+    "import pandas_datareader.tiingo as tiingo\n",
+    "import datetime\n",
+    "\n",
+    "# last trade day from previous year\n",
+    "# TODO: auto calculate\n",
+    "dStrLastYearClose = '12/31/2018'\n",
+    "\n",
+    "# get the current date\n",
+    "d = datetime.datetime.today()\n",
+    "# convert to string format\n",
+    "dStrToday = d.strftime('%m/%d/%Y')\n",
+    "dStrYearStart = d.strftime('01/01/%Y')\n",
+    "\n",
+    "# tickers of all peers\n",
+    "peers = ['CRZO','CDEV','DNR','LPI','OAS','PDCE','PE','RRC','SM','SWN','WLL','WPX','XEC']\n",
+    "\n",
+    "# fetch the stock data\n",
+    "dr = tiingo.TiingoDailyReader(symbols=peers, start=dStrLastYearClose, end=dStrToday, api_key=tKey)\n",
+    "df = dr.read()\n",
+    "dr.close()\n",
+    "\n",
+    "# show some stats on the data\n",
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['adjClose', 'adjHigh', 'adjLow', 'adjOpen', 'adjVolume', 'close',\n",
+       "       'divCash', 'high', 'low', 'open', 'splitFactor', 'volume'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# show column info\n",
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "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></th>\n",
+       "      <th>adjClose</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>symbol</th>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">CRZO</th>\n",
+       "      <th>2018-12-31</th>\n",
+       "      <td>11.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>11.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>11.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>12.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-07</th>\n",
+       "      <td>12.54</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   adjClose\n",
+       "symbol date                \n",
+       "CRZO   2018-12-31     11.29\n",
+       "       2019-01-02     11.51\n",
+       "       2019-01-03     11.45\n",
+       "       2019-01-04     12.18\n",
+       "       2019-01-07     12.54"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# filter data down to adjusted close price\n",
+    "df_close = df.loc[peers,['adjClose']]\n",
+    "\n",
+    "df_close.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>symbol</th>\n",
+       "      <th>CDEV</th>\n",
+       "      <th>CRZO</th>\n",
+       "      <th>DNR</th>\n",
+       "      <th>LPI</th>\n",
+       "      <th>OAS</th>\n",
+       "      <th>PDCE</th>\n",
+       "      <th>PE</th>\n",
+       "      <th>RRC</th>\n",
+       "      <th>SM</th>\n",
+       "      <th>SWN</th>\n",
+       "      <th>WLL</th>\n",
+       "      <th>WPX</th>\n",
+       "      <th>XEC</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2018-12-31</th>\n",
+       "      <td>11.02</td>\n",
+       "      <td>11.29</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>3.62</td>\n",
+       "      <td>5.53</td>\n",
+       "      <td>29.76</td>\n",
+       "      <td>15.98</td>\n",
+       "      <td>9.57</td>\n",
+       "      <td>15.48</td>\n",
+       "      <td>3.41</td>\n",
+       "      <td>22.69</td>\n",
+       "      <td>11.35</td>\n",
+       "      <td>61.502139</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>11.30</td>\n",
+       "      <td>11.51</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>5.54</td>\n",
+       "      <td>30.42</td>\n",
+       "      <td>16.22</td>\n",
+       "      <td>9.96</td>\n",
+       "      <td>15.34</td>\n",
+       "      <td>3.72</td>\n",
+       "      <td>22.69</td>\n",
+       "      <td>11.63</td>\n",
+       "      <td>62.559596</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>11.28</td>\n",
+       "      <td>11.45</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>3.66</td>\n",
+       "      <td>5.64</td>\n",
+       "      <td>30.96</td>\n",
+       "      <td>16.15</td>\n",
+       "      <td>9.95</td>\n",
+       "      <td>15.32</td>\n",
+       "      <td>3.64</td>\n",
+       "      <td>22.80</td>\n",
+       "      <td>11.54</td>\n",
+       "      <td>61.691683</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>11.81</td>\n",
+       "      <td>12.18</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>3.99</td>\n",
+       "      <td>6.04</td>\n",
+       "      <td>32.71</td>\n",
+       "      <td>16.88</td>\n",
+       "      <td>10.69</td>\n",
+       "      <td>16.63</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>24.77</td>\n",
+       "      <td>12.13</td>\n",
+       "      <td>64.774272</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-07</th>\n",
+       "      <td>12.68</td>\n",
+       "      <td>12.54</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>4.12</td>\n",
+       "      <td>6.18</td>\n",
+       "      <td>34.25</td>\n",
+       "      <td>18.12</td>\n",
+       "      <td>11.13</td>\n",
+       "      <td>17.48</td>\n",
+       "      <td>4.07</td>\n",
+       "      <td>26.65</td>\n",
+       "      <td>12.87</td>\n",
+       "      <td>66.200842</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-08</th>\n",
+       "      <td>12.89</td>\n",
+       "      <td>12.49</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>4.17</td>\n",
+       "      <td>6.42</td>\n",
+       "      <td>34.02</td>\n",
+       "      <td>18.74</td>\n",
+       "      <td>11.00</td>\n",
+       "      <td>17.96</td>\n",
+       "      <td>4.11</td>\n",
+       "      <td>27.18</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>67.268276</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-09</th>\n",
+       "      <td>13.22</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>2.23</td>\n",
+       "      <td>4.19</td>\n",
+       "      <td>6.58</td>\n",
+       "      <td>34.04</td>\n",
+       "      <td>19.19</td>\n",
+       "      <td>11.60</td>\n",
+       "      <td>18.78</td>\n",
+       "      <td>4.37</td>\n",
+       "      <td>28.63</td>\n",
+       "      <td>13.06</td>\n",
+       "      <td>68.545206</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-10</th>\n",
+       "      <td>13.21</td>\n",
+       "      <td>12.64</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>4.18</td>\n",
+       "      <td>6.59</td>\n",
+       "      <td>33.99</td>\n",
+       "      <td>19.01</td>\n",
+       "      <td>11.44</td>\n",
+       "      <td>19.44</td>\n",
+       "      <td>4.30</td>\n",
+       "      <td>28.67</td>\n",
+       "      <td>13.18</td>\n",
+       "      <td>70.291009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-11</th>\n",
+       "      <td>13.03</td>\n",
+       "      <td>12.24</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>4.01</td>\n",
+       "      <td>6.33</td>\n",
+       "      <td>33.57</td>\n",
+       "      <td>18.72</td>\n",
+       "      <td>11.50</td>\n",
+       "      <td>19.31</td>\n",
+       "      <td>4.35</td>\n",
+       "      <td>27.47</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>70.470577</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-14</th>\n",
+       "      <td>13.30</td>\n",
+       "      <td>12.34</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>6.41</td>\n",
+       "      <td>33.57</td>\n",
+       "      <td>18.46</td>\n",
+       "      <td>11.87</td>\n",
+       "      <td>19.34</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>27.87</td>\n",
+       "      <td>12.72</td>\n",
+       "      <td>71.857243</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "symbol       CDEV   CRZO   DNR   LPI   OAS   PDCE     PE    RRC     SM   SWN  \\\n",
+       "date                                                                           \n",
+       "2018-12-31  11.02  11.29  1.71  3.62  5.53  29.76  15.98   9.57  15.48  3.41   \n",
+       "2019-01-02  11.30  11.51  1.96  3.74  5.54  30.42  16.22   9.96  15.34  3.72   \n",
+       "2019-01-03  11.28  11.45  1.97  3.66  5.64  30.96  16.15   9.95  15.32  3.64   \n",
+       "2019-01-04  11.81  12.18  2.19  3.99  6.04  32.71  16.88  10.69  16.63  3.90   \n",
+       "2019-01-07  12.68  12.54  2.20  4.12  6.18  34.25  18.12  11.13  17.48  4.07   \n",
+       "2019-01-08  12.89  12.49  2.19  4.17  6.42  34.02  18.74  11.00  17.96  4.11   \n",
+       "2019-01-09  13.22  12.93  2.23  4.19  6.58  34.04  19.19  11.60  18.78  4.37   \n",
+       "2019-01-10  13.21  12.64  2.29  4.18  6.59  33.99  19.01  11.44  19.44  4.30   \n",
+       "2019-01-11  13.03  12.24  2.17  4.01  6.33  33.57  18.72  11.50  19.31  4.35   \n",
+       "2019-01-14  13.30  12.34  2.15  4.03  6.41  33.57  18.46  11.87  19.34  4.38   \n",
+       "\n",
+       "symbol        WLL    WPX        XEC  \n",
+       "date                                 \n",
+       "2018-12-31  22.69  11.35  61.502139  \n",
+       "2019-01-02  22.69  11.63  62.559596  \n",
+       "2019-01-03  22.80  11.54  61.691683  \n",
+       "2019-01-04  24.77  12.13  64.774272  \n",
+       "2019-01-07  26.65  12.87  66.200842  \n",
+       "2019-01-08  27.18  12.93  67.268276  \n",
+       "2019-01-09  28.63  13.06  68.545206  \n",
+       "2019-01-10  28.67  13.18  70.291009  \n",
+       "2019-01-11  27.47  12.85  70.470577  \n",
+       "2019-01-14  27.87  12.72  71.857243  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# pivot the data\n",
+    "df_pivot = pd.pivot_table(df_close, index='date', columns='symbol',values=\"adjClose\")\n",
+    "\n",
+    "df_pivot.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "symbol\n",
+       "CDEV    11.020000\n",
+       "CRZO    11.290000\n",
+       "DNR      1.710000\n",
+       "LPI      3.620000\n",
+       "OAS      5.530000\n",
+       "PDCE    29.760000\n",
+       "PE      15.980000\n",
+       "RRC      9.570000\n",
+       "SM      15.480000\n",
+       "SWN      3.410000\n",
+       "WLL     22.690000\n",
+       "WPX     11.350000\n",
+       "XEC     61.502139\n",
+       "Name: 2018-12-31 00:00:00, dtype: float64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Close price at end of previous year\n",
+    "df_pivot.iloc[0,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "symbol\n",
+       "CDEV     9.66\n",
+       "CRZO    11.30\n",
+       "DNR      2.05\n",
+       "LPI      3.48\n",
+       "OAS      5.91\n",
+       "PDCE    37.14\n",
+       "PE      18.62\n",
+       "RRC     10.36\n",
+       "SM      16.65\n",
+       "SWN      4.29\n",
+       "WLL     25.01\n",
+       "WPX     12.59\n",
+       "XEC     72.64\n",
+       "Name: 2019-02-27 00:00:00, dtype: float64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Latest price at close\n",
+    "df_pivot.iloc[-1,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "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>symbol</th>\n",
+       "      <th>CDEV</th>\n",
+       "      <th>CRZO</th>\n",
+       "      <th>DNR</th>\n",
+       "      <th>LPI</th>\n",
+       "      <th>OAS</th>\n",
+       "      <th>PDCE</th>\n",
+       "      <th>PE</th>\n",
+       "      <th>RRC</th>\n",
+       "      <th>SM</th>\n",
+       "      <th>SWN</th>\n",
+       "      <th>WLL</th>\n",
+       "      <th>WPX</th>\n",
+       "      <th>XEC</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2018-12-31</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>0.025408</td>\n",
+       "      <td>0.019486</td>\n",
+       "      <td>0.146199</td>\n",
+       "      <td>0.033149</td>\n",
+       "      <td>0.001808</td>\n",
+       "      <td>0.022177</td>\n",
+       "      <td>0.015019</td>\n",
+       "      <td>0.040752</td>\n",
+       "      <td>-0.009044</td>\n",
+       "      <td>0.090909</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.024670</td>\n",
+       "      <td>0.017194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>0.023593</td>\n",
+       "      <td>0.014172</td>\n",
+       "      <td>0.152047</td>\n",
+       "      <td>0.011050</td>\n",
+       "      <td>0.019892</td>\n",
+       "      <td>0.040323</td>\n",
+       "      <td>0.010638</td>\n",
+       "      <td>0.039707</td>\n",
+       "      <td>-0.010336</td>\n",
+       "      <td>0.067449</td>\n",
+       "      <td>0.004848</td>\n",
+       "      <td>0.016740</td>\n",
+       "      <td>0.003082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>0.071688</td>\n",
+       "      <td>0.078831</td>\n",
+       "      <td>0.280702</td>\n",
+       "      <td>0.102210</td>\n",
+       "      <td>0.092224</td>\n",
+       "      <td>0.099126</td>\n",
+       "      <td>0.056320</td>\n",
+       "      <td>0.117032</td>\n",
+       "      <td>0.074289</td>\n",
+       "      <td>0.143695</td>\n",
+       "      <td>0.091670</td>\n",
+       "      <td>0.068722</td>\n",
+       "      <td>0.053204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-07</th>\n",
+       "      <td>0.150635</td>\n",
+       "      <td>0.110717</td>\n",
+       "      <td>0.286550</td>\n",
+       "      <td>0.138122</td>\n",
+       "      <td>0.117541</td>\n",
+       "      <td>0.150874</td>\n",
+       "      <td>0.133917</td>\n",
+       "      <td>0.163009</td>\n",
+       "      <td>0.129199</td>\n",
+       "      <td>0.193548</td>\n",
+       "      <td>0.174526</td>\n",
+       "      <td>0.133921</td>\n",
+       "      <td>0.076399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-08</th>\n",
+       "      <td>0.169691</td>\n",
+       "      <td>0.106289</td>\n",
+       "      <td>0.280702</td>\n",
+       "      <td>0.151934</td>\n",
+       "      <td>0.160940</td>\n",
+       "      <td>0.143145</td>\n",
+       "      <td>0.172716</td>\n",
+       "      <td>0.149425</td>\n",
+       "      <td>0.160207</td>\n",
+       "      <td>0.205279</td>\n",
+       "      <td>0.197885</td>\n",
+       "      <td>0.139207</td>\n",
+       "      <td>0.093755</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-09</th>\n",
+       "      <td>0.199637</td>\n",
+       "      <td>0.145261</td>\n",
+       "      <td>0.304094</td>\n",
+       "      <td>0.157459</td>\n",
+       "      <td>0.189873</td>\n",
+       "      <td>0.143817</td>\n",
+       "      <td>0.200876</td>\n",
+       "      <td>0.212121</td>\n",
+       "      <td>0.213178</td>\n",
+       "      <td>0.281525</td>\n",
+       "      <td>0.261789</td>\n",
+       "      <td>0.150661</td>\n",
+       "      <td>0.114517</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-10</th>\n",
+       "      <td>0.198730</td>\n",
+       "      <td>0.119575</td>\n",
+       "      <td>0.339181</td>\n",
+       "      <td>0.154696</td>\n",
+       "      <td>0.191682</td>\n",
+       "      <td>0.142137</td>\n",
+       "      <td>0.189612</td>\n",
+       "      <td>0.195402</td>\n",
+       "      <td>0.255814</td>\n",
+       "      <td>0.260997</td>\n",
+       "      <td>0.263552</td>\n",
+       "      <td>0.161233</td>\n",
+       "      <td>0.142903</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-11</th>\n",
+       "      <td>0.182396</td>\n",
+       "      <td>0.084145</td>\n",
+       "      <td>0.269006</td>\n",
+       "      <td>0.107735</td>\n",
+       "      <td>0.144665</td>\n",
+       "      <td>0.128024</td>\n",
+       "      <td>0.171464</td>\n",
+       "      <td>0.201672</td>\n",
+       "      <td>0.247416</td>\n",
+       "      <td>0.275660</td>\n",
+       "      <td>0.210665</td>\n",
+       "      <td>0.132159</td>\n",
+       "      <td>0.145823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-14</th>\n",
+       "      <td>0.206897</td>\n",
+       "      <td>0.093003</td>\n",
+       "      <td>0.257310</td>\n",
+       "      <td>0.113260</td>\n",
+       "      <td>0.159132</td>\n",
+       "      <td>0.128024</td>\n",
+       "      <td>0.155194</td>\n",
+       "      <td>0.240334</td>\n",
+       "      <td>0.249354</td>\n",
+       "      <td>0.284457</td>\n",
+       "      <td>0.228294</td>\n",
+       "      <td>0.120705</td>\n",
+       "      <td>0.168370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-15</th>\n",
+       "      <td>0.225045</td>\n",
+       "      <td>0.110717</td>\n",
+       "      <td>0.280702</td>\n",
+       "      <td>0.104972</td>\n",
+       "      <td>0.175407</td>\n",
+       "      <td>0.125672</td>\n",
+       "      <td>0.170213</td>\n",
+       "      <td>0.226750</td>\n",
+       "      <td>0.282300</td>\n",
+       "      <td>0.293255</td>\n",
+       "      <td>0.270604</td>\n",
+       "      <td>0.133040</td>\n",
+       "      <td>0.189294</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-16</th>\n",
+       "      <td>0.248639</td>\n",
+       "      <td>0.073516</td>\n",
+       "      <td>0.269006</td>\n",
+       "      <td>0.099448</td>\n",
+       "      <td>0.182640</td>\n",
+       "      <td>0.113239</td>\n",
+       "      <td>0.187735</td>\n",
+       "      <td>0.223615</td>\n",
+       "      <td>0.293282</td>\n",
+       "      <td>0.287390</td>\n",
+       "      <td>0.270163</td>\n",
+       "      <td>0.123348</td>\n",
+       "      <td>0.199027</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-17</th>\n",
+       "      <td>0.262250</td>\n",
+       "      <td>0.051373</td>\n",
+       "      <td>0.274854</td>\n",
+       "      <td>0.027624</td>\n",
+       "      <td>0.198915</td>\n",
+       "      <td>0.105511</td>\n",
+       "      <td>0.192115</td>\n",
+       "      <td>0.203762</td>\n",
+       "      <td>0.313307</td>\n",
+       "      <td>0.304985</td>\n",
+       "      <td>0.282503</td>\n",
+       "      <td>0.119824</td>\n",
+       "      <td>0.188159</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-18</th>\n",
+       "      <td>0.288566</td>\n",
+       "      <td>0.109832</td>\n",
+       "      <td>0.309942</td>\n",
+       "      <td>0.077348</td>\n",
+       "      <td>0.226040</td>\n",
+       "      <td>0.127352</td>\n",
+       "      <td>0.204631</td>\n",
+       "      <td>0.206897</td>\n",
+       "      <td>0.365633</td>\n",
+       "      <td>0.346041</td>\n",
+       "      <td>0.313795</td>\n",
+       "      <td>0.153304</td>\n",
+       "      <td>0.212328</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-22</th>\n",
+       "      <td>0.196915</td>\n",
+       "      <td>0.067316</td>\n",
+       "      <td>0.192982</td>\n",
+       "      <td>-0.011050</td>\n",
+       "      <td>0.110307</td>\n",
+       "      <td>0.126008</td>\n",
+       "      <td>0.168335</td>\n",
+       "      <td>0.136886</td>\n",
+       "      <td>0.293928</td>\n",
+       "      <td>0.252199</td>\n",
+       "      <td>0.204936</td>\n",
+       "      <td>0.081057</td>\n",
+       "      <td>0.191727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-23</th>\n",
+       "      <td>0.174229</td>\n",
+       "      <td>0.005314</td>\n",
+       "      <td>0.169591</td>\n",
+       "      <td>-0.024862</td>\n",
+       "      <td>0.095841</td>\n",
+       "      <td>0.135753</td>\n",
+       "      <td>0.136421</td>\n",
+       "      <td>0.106583</td>\n",
+       "      <td>0.239664</td>\n",
+       "      <td>0.234604</td>\n",
+       "      <td>0.163508</td>\n",
+       "      <td>0.066960</td>\n",
+       "      <td>0.174047</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-24</th>\n",
+       "      <td>0.160617</td>\n",
+       "      <td>0.014172</td>\n",
+       "      <td>0.181287</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.124774</td>\n",
+       "      <td>0.127016</td>\n",
+       "      <td>0.135169</td>\n",
+       "      <td>0.129572</td>\n",
+       "      <td>0.235788</td>\n",
+       "      <td>0.275660</td>\n",
+       "      <td>0.205818</td>\n",
+       "      <td>0.077533</td>\n",
+       "      <td>0.188483</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-25</th>\n",
+       "      <td>0.186025</td>\n",
+       "      <td>0.004429</td>\n",
+       "      <td>0.210526</td>\n",
+       "      <td>0.019337</td>\n",
+       "      <td>0.132007</td>\n",
+       "      <td>0.123320</td>\n",
+       "      <td>0.155194</td>\n",
+       "      <td>0.177638</td>\n",
+       "      <td>0.258398</td>\n",
+       "      <td>0.328446</td>\n",
+       "      <td>0.258704</td>\n",
+       "      <td>0.099559</td>\n",
+       "      <td>0.227899</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-28</th>\n",
+       "      <td>0.172414</td>\n",
+       "      <td>-0.011515</td>\n",
+       "      <td>0.152047</td>\n",
+       "      <td>-0.005525</td>\n",
+       "      <td>0.106691</td>\n",
+       "      <td>0.075269</td>\n",
+       "      <td>0.126408</td>\n",
+       "      <td>0.177638</td>\n",
+       "      <td>0.247416</td>\n",
+       "      <td>0.287390</td>\n",
+       "      <td>0.241075</td>\n",
+       "      <td>0.069604</td>\n",
+       "      <td>0.211841</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-29</th>\n",
+       "      <td>0.179673</td>\n",
+       "      <td>0.010629</td>\n",
+       "      <td>0.181287</td>\n",
+       "      <td>0.008287</td>\n",
+       "      <td>0.097649</td>\n",
+       "      <td>0.065860</td>\n",
+       "      <td>0.132666</td>\n",
+       "      <td>0.183908</td>\n",
+       "      <td>0.271318</td>\n",
+       "      <td>0.310850</td>\n",
+       "      <td>0.236227</td>\n",
+       "      <td>0.070485</td>\n",
+       "      <td>0.217032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-30</th>\n",
+       "      <td>0.221416</td>\n",
+       "      <td>0.101860</td>\n",
+       "      <td>0.233918</td>\n",
+       "      <td>0.066298</td>\n",
+       "      <td>0.139241</td>\n",
+       "      <td>0.146169</td>\n",
+       "      <td>0.177096</td>\n",
+       "      <td>0.228840</td>\n",
+       "      <td>0.319121</td>\n",
+       "      <td>0.348974</td>\n",
+       "      <td>0.297929</td>\n",
+       "      <td>0.088106</td>\n",
+       "      <td>0.238767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-31</th>\n",
+       "      <td>0.195100</td>\n",
+       "      <td>0.087688</td>\n",
+       "      <td>0.187135</td>\n",
+       "      <td>0.049724</td>\n",
+       "      <td>0.088608</td>\n",
+       "      <td>0.094422</td>\n",
+       "      <td>0.162703</td>\n",
+       "      <td>0.152560</td>\n",
+       "      <td>0.267442</td>\n",
+       "      <td>0.281525</td>\n",
+       "      <td>0.261789</td>\n",
+       "      <td>0.080176</td>\n",
+       "      <td>0.222060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-01</th>\n",
+       "      <td>0.208711</td>\n",
+       "      <td>0.137290</td>\n",
+       "      <td>0.210526</td>\n",
+       "      <td>0.077348</td>\n",
+       "      <td>0.108499</td>\n",
+       "      <td>0.113575</td>\n",
+       "      <td>0.164581</td>\n",
+       "      <td>0.144201</td>\n",
+       "      <td>0.275194</td>\n",
+       "      <td>0.284457</td>\n",
+       "      <td>0.293521</td>\n",
+       "      <td>0.102203</td>\n",
+       "      <td>0.235523</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-04</th>\n",
+       "      <td>0.209619</td>\n",
+       "      <td>0.154119</td>\n",
+       "      <td>0.216374</td>\n",
+       "      <td>0.091160</td>\n",
+       "      <td>0.110307</td>\n",
+       "      <td>0.129032</td>\n",
+       "      <td>0.180851</td>\n",
+       "      <td>0.137931</td>\n",
+       "      <td>0.257752</td>\n",
+       "      <td>0.275660</td>\n",
+       "      <td>0.325253</td>\n",
+       "      <td>0.144493</td>\n",
+       "      <td>0.237307</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-05</th>\n",
+       "      <td>0.170599</td>\n",
+       "      <td>0.124004</td>\n",
+       "      <td>0.181287</td>\n",
+       "      <td>0.058011</td>\n",
+       "      <td>0.050633</td>\n",
+       "      <td>0.115591</td>\n",
+       "      <td>0.150188</td>\n",
+       "      <td>0.120167</td>\n",
+       "      <td>0.217700</td>\n",
+       "      <td>0.243402</td>\n",
+       "      <td>0.267078</td>\n",
+       "      <td>0.138326</td>\n",
+       "      <td>0.226926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-06</th>\n",
+       "      <td>0.166969</td>\n",
+       "      <td>0.108946</td>\n",
+       "      <td>0.152047</td>\n",
+       "      <td>0.041436</td>\n",
+       "      <td>0.041591</td>\n",
+       "      <td>0.108535</td>\n",
+       "      <td>0.149562</td>\n",
+       "      <td>0.059561</td>\n",
+       "      <td>0.209302</td>\n",
+       "      <td>0.167155</td>\n",
+       "      <td>0.269282</td>\n",
+       "      <td>0.135683</td>\n",
+       "      <td>0.212814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-07</th>\n",
+       "      <td>0.130672</td>\n",
+       "      <td>0.031887</td>\n",
+       "      <td>0.081871</td>\n",
+       "      <td>-0.044199</td>\n",
+       "      <td>0.010850</td>\n",
+       "      <td>0.072245</td>\n",
+       "      <td>0.118273</td>\n",
+       "      <td>0.009404</td>\n",
+       "      <td>0.125969</td>\n",
+       "      <td>0.090909</td>\n",
+       "      <td>0.187748</td>\n",
+       "      <td>0.078414</td>\n",
+       "      <td>0.160746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-08</th>\n",
+       "      <td>0.112523</td>\n",
+       "      <td>-0.023915</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.049724</td>\n",
+       "      <td>-0.001808</td>\n",
+       "      <td>0.035618</td>\n",
+       "      <td>0.103880</td>\n",
+       "      <td>-0.013584</td>\n",
+       "      <td>0.082687</td>\n",
+       "      <td>0.114370</td>\n",
+       "      <td>0.162627</td>\n",
+       "      <td>0.049339</td>\n",
+       "      <td>0.145499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-11</th>\n",
+       "      <td>0.118875</td>\n",
+       "      <td>-0.001771</td>\n",
+       "      <td>0.046784</td>\n",
+       "      <td>0.022099</td>\n",
+       "      <td>0.021700</td>\n",
+       "      <td>0.044691</td>\n",
+       "      <td>0.128911</td>\n",
+       "      <td>0.081505</td>\n",
+       "      <td>0.127907</td>\n",
+       "      <td>0.155425</td>\n",
+       "      <td>0.175408</td>\n",
+       "      <td>0.072247</td>\n",
+       "      <td>0.172263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-12</th>\n",
+       "      <td>0.118875</td>\n",
+       "      <td>0.029229</td>\n",
+       "      <td>0.081871</td>\n",
+       "      <td>0.002762</td>\n",
+       "      <td>0.043400</td>\n",
+       "      <td>0.130376</td>\n",
+       "      <td>0.119524</td>\n",
+       "      <td>0.087774</td>\n",
+       "      <td>0.179587</td>\n",
+       "      <td>0.175953</td>\n",
+       "      <td>0.200970</td>\n",
+       "      <td>0.086344</td>\n",
+       "      <td>0.182482</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-13</th>\n",
+       "      <td>0.116152</td>\n",
+       "      <td>0.055802</td>\n",
+       "      <td>0.122807</td>\n",
+       "      <td>0.046961</td>\n",
+       "      <td>0.061483</td>\n",
+       "      <td>0.188172</td>\n",
+       "      <td>0.140175</td>\n",
+       "      <td>0.085684</td>\n",
+       "      <td>0.228682</td>\n",
+       "      <td>0.187683</td>\n",
+       "      <td>0.221684</td>\n",
+       "      <td>0.122467</td>\n",
+       "      <td>0.205353</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-14</th>\n",
+       "      <td>0.138838</td>\n",
+       "      <td>0.078831</td>\n",
+       "      <td>0.216374</td>\n",
+       "      <td>0.063536</td>\n",
+       "      <td>0.070524</td>\n",
+       "      <td>0.227487</td>\n",
+       "      <td>0.154568</td>\n",
+       "      <td>0.084639</td>\n",
+       "      <td>0.217700</td>\n",
+       "      <td>0.175953</td>\n",
+       "      <td>0.262230</td>\n",
+       "      <td>0.147137</td>\n",
+       "      <td>0.217356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-15</th>\n",
+       "      <td>0.177858</td>\n",
+       "      <td>0.123118</td>\n",
+       "      <td>0.257310</td>\n",
+       "      <td>0.066298</td>\n",
+       "      <td>0.124774</td>\n",
+       "      <td>0.284946</td>\n",
+       "      <td>0.172090</td>\n",
+       "      <td>0.135841</td>\n",
+       "      <td>0.279716</td>\n",
+       "      <td>0.228739</td>\n",
+       "      <td>0.293962</td>\n",
+       "      <td>0.181498</td>\n",
+       "      <td>0.235567</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-19</th>\n",
+       "      <td>0.170599</td>\n",
+       "      <td>0.113375</td>\n",
+       "      <td>0.269006</td>\n",
+       "      <td>0.038674</td>\n",
+       "      <td>0.108499</td>\n",
+       "      <td>0.279906</td>\n",
+       "      <td>0.177722</td>\n",
+       "      <td>0.137931</td>\n",
+       "      <td>0.232558</td>\n",
+       "      <td>0.222874</td>\n",
+       "      <td>0.290877</td>\n",
+       "      <td>0.166520</td>\n",
+       "      <td>0.220608</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-20</th>\n",
+       "      <td>0.188748</td>\n",
+       "      <td>0.116032</td>\n",
+       "      <td>0.309942</td>\n",
+       "      <td>0.055249</td>\n",
+       "      <td>0.148282</td>\n",
+       "      <td>0.319220</td>\n",
+       "      <td>0.160200</td>\n",
+       "      <td>0.157785</td>\n",
+       "      <td>0.271964</td>\n",
+       "      <td>0.269795</td>\n",
+       "      <td>0.316439</td>\n",
+       "      <td>0.180617</td>\n",
+       "      <td>0.242558</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-21</th>\n",
+       "      <td>0.120690</td>\n",
+       "      <td>0.052259</td>\n",
+       "      <td>0.251462</td>\n",
+       "      <td>-0.008287</td>\n",
+       "      <td>0.097649</td>\n",
+       "      <td>0.302083</td>\n",
+       "      <td>0.122028</td>\n",
+       "      <td>0.131661</td>\n",
+       "      <td>0.099483</td>\n",
+       "      <td>0.255132</td>\n",
+       "      <td>0.281181</td>\n",
+       "      <td>0.140969</td>\n",
+       "      <td>0.192154</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-22</th>\n",
+       "      <td>0.138838</td>\n",
+       "      <td>0.043401</td>\n",
+       "      <td>0.251462</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.112116</td>\n",
+       "      <td>0.313172</td>\n",
+       "      <td>0.209637</td>\n",
+       "      <td>0.108673</td>\n",
+       "      <td>0.091085</td>\n",
+       "      <td>0.243402</td>\n",
+       "      <td>0.281181</td>\n",
+       "      <td>0.131278</td>\n",
+       "      <td>0.206137</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-25</th>\n",
+       "      <td>0.153358</td>\n",
+       "      <td>0.029229</td>\n",
+       "      <td>0.222222</td>\n",
+       "      <td>-0.008287</td>\n",
+       "      <td>0.101266</td>\n",
+       "      <td>0.262433</td>\n",
+       "      <td>0.172716</td>\n",
+       "      <td>0.150470</td>\n",
+       "      <td>0.091085</td>\n",
+       "      <td>0.293255</td>\n",
+       "      <td>0.249008</td>\n",
+       "      <td>0.098678</td>\n",
+       "      <td>0.198658</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-26</th>\n",
+       "      <td>-0.107078</td>\n",
+       "      <td>0.058459</td>\n",
+       "      <td>0.181287</td>\n",
+       "      <td>-0.033149</td>\n",
+       "      <td>0.066908</td>\n",
+       "      <td>0.244624</td>\n",
+       "      <td>0.143304</td>\n",
+       "      <td>0.107628</td>\n",
+       "      <td>0.060724</td>\n",
+       "      <td>0.272727</td>\n",
+       "      <td>0.239753</td>\n",
+       "      <td>0.083700</td>\n",
+       "      <td>0.180447</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-27</th>\n",
+       "      <td>-0.123412</td>\n",
+       "      <td>0.000886</td>\n",
+       "      <td>0.198830</td>\n",
+       "      <td>-0.038674</td>\n",
+       "      <td>0.068716</td>\n",
+       "      <td>0.247984</td>\n",
+       "      <td>0.165207</td>\n",
+       "      <td>0.082550</td>\n",
+       "      <td>0.075581</td>\n",
+       "      <td>0.258065</td>\n",
+       "      <td>0.102248</td>\n",
+       "      <td>0.109251</td>\n",
+       "      <td>0.181097</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "symbol          CDEV      CRZO       DNR       LPI       OAS      PDCE  \\\n",
+       "date                                                                     \n",
+       "2018-12-31  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "2019-01-02  0.025408  0.019486  0.146199  0.033149  0.001808  0.022177   \n",
+       "2019-01-03  0.023593  0.014172  0.152047  0.011050  0.019892  0.040323   \n",
+       "2019-01-04  0.071688  0.078831  0.280702  0.102210  0.092224  0.099126   \n",
+       "2019-01-07  0.150635  0.110717  0.286550  0.138122  0.117541  0.150874   \n",
+       "2019-01-08  0.169691  0.106289  0.280702  0.151934  0.160940  0.143145   \n",
+       "2019-01-09  0.199637  0.145261  0.304094  0.157459  0.189873  0.143817   \n",
+       "2019-01-10  0.198730  0.119575  0.339181  0.154696  0.191682  0.142137   \n",
+       "2019-01-11  0.182396  0.084145  0.269006  0.107735  0.144665  0.128024   \n",
+       "2019-01-14  0.206897  0.093003  0.257310  0.113260  0.159132  0.128024   \n",
+       "2019-01-15  0.225045  0.110717  0.280702  0.104972  0.175407  0.125672   \n",
+       "2019-01-16  0.248639  0.073516  0.269006  0.099448  0.182640  0.113239   \n",
+       "2019-01-17  0.262250  0.051373  0.274854  0.027624  0.198915  0.105511   \n",
+       "2019-01-18  0.288566  0.109832  0.309942  0.077348  0.226040  0.127352   \n",
+       "2019-01-22  0.196915  0.067316  0.192982 -0.011050  0.110307  0.126008   \n",
+       "2019-01-23  0.174229  0.005314  0.169591 -0.024862  0.095841  0.135753   \n",
+       "2019-01-24  0.160617  0.014172  0.181287  0.000000  0.124774  0.127016   \n",
+       "2019-01-25  0.186025  0.004429  0.210526  0.019337  0.132007  0.123320   \n",
+       "2019-01-28  0.172414 -0.011515  0.152047 -0.005525  0.106691  0.075269   \n",
+       "2019-01-29  0.179673  0.010629  0.181287  0.008287  0.097649  0.065860   \n",
+       "2019-01-30  0.221416  0.101860  0.233918  0.066298  0.139241  0.146169   \n",
+       "2019-01-31  0.195100  0.087688  0.187135  0.049724  0.088608  0.094422   \n",
+       "2019-02-01  0.208711  0.137290  0.210526  0.077348  0.108499  0.113575   \n",
+       "2019-02-04  0.209619  0.154119  0.216374  0.091160  0.110307  0.129032   \n",
+       "2019-02-05  0.170599  0.124004  0.181287  0.058011  0.050633  0.115591   \n",
+       "2019-02-06  0.166969  0.108946  0.152047  0.041436  0.041591  0.108535   \n",
+       "2019-02-07  0.130672  0.031887  0.081871 -0.044199  0.010850  0.072245   \n",
+       "2019-02-08  0.112523 -0.023915  0.000000 -0.049724 -0.001808  0.035618   \n",
+       "2019-02-11  0.118875 -0.001771  0.046784  0.022099  0.021700  0.044691   \n",
+       "2019-02-12  0.118875  0.029229  0.081871  0.002762  0.043400  0.130376   \n",
+       "2019-02-13  0.116152  0.055802  0.122807  0.046961  0.061483  0.188172   \n",
+       "2019-02-14  0.138838  0.078831  0.216374  0.063536  0.070524  0.227487   \n",
+       "2019-02-15  0.177858  0.123118  0.257310  0.066298  0.124774  0.284946   \n",
+       "2019-02-19  0.170599  0.113375  0.269006  0.038674  0.108499  0.279906   \n",
+       "2019-02-20  0.188748  0.116032  0.309942  0.055249  0.148282  0.319220   \n",
+       "2019-02-21  0.120690  0.052259  0.251462 -0.008287  0.097649  0.302083   \n",
+       "2019-02-22  0.138838  0.043401  0.251462  0.000000  0.112116  0.313172   \n",
+       "2019-02-25  0.153358  0.029229  0.222222 -0.008287  0.101266  0.262433   \n",
+       "2019-02-26 -0.107078  0.058459  0.181287 -0.033149  0.066908  0.244624   \n",
+       "2019-02-27 -0.123412  0.000886  0.198830 -0.038674  0.068716  0.247984   \n",
+       "\n",
+       "symbol            PE       RRC        SM       SWN       WLL       WPX  \\\n",
+       "date                                                                     \n",
+       "2018-12-31  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "2019-01-02  0.015019  0.040752 -0.009044  0.090909  0.000000  0.024670   \n",
+       "2019-01-03  0.010638  0.039707 -0.010336  0.067449  0.004848  0.016740   \n",
+       "2019-01-04  0.056320  0.117032  0.074289  0.143695  0.091670  0.068722   \n",
+       "2019-01-07  0.133917  0.163009  0.129199  0.193548  0.174526  0.133921   \n",
+       "2019-01-08  0.172716  0.149425  0.160207  0.205279  0.197885  0.139207   \n",
+       "2019-01-09  0.200876  0.212121  0.213178  0.281525  0.261789  0.150661   \n",
+       "2019-01-10  0.189612  0.195402  0.255814  0.260997  0.263552  0.161233   \n",
+       "2019-01-11  0.171464  0.201672  0.247416  0.275660  0.210665  0.132159   \n",
+       "2019-01-14  0.155194  0.240334  0.249354  0.284457  0.228294  0.120705   \n",
+       "2019-01-15  0.170213  0.226750  0.282300  0.293255  0.270604  0.133040   \n",
+       "2019-01-16  0.187735  0.223615  0.293282  0.287390  0.270163  0.123348   \n",
+       "2019-01-17  0.192115  0.203762  0.313307  0.304985  0.282503  0.119824   \n",
+       "2019-01-18  0.204631  0.206897  0.365633  0.346041  0.313795  0.153304   \n",
+       "2019-01-22  0.168335  0.136886  0.293928  0.252199  0.204936  0.081057   \n",
+       "2019-01-23  0.136421  0.106583  0.239664  0.234604  0.163508  0.066960   \n",
+       "2019-01-24  0.135169  0.129572  0.235788  0.275660  0.205818  0.077533   \n",
+       "2019-01-25  0.155194  0.177638  0.258398  0.328446  0.258704  0.099559   \n",
+       "2019-01-28  0.126408  0.177638  0.247416  0.287390  0.241075  0.069604   \n",
+       "2019-01-29  0.132666  0.183908  0.271318  0.310850  0.236227  0.070485   \n",
+       "2019-01-30  0.177096  0.228840  0.319121  0.348974  0.297929  0.088106   \n",
+       "2019-01-31  0.162703  0.152560  0.267442  0.281525  0.261789  0.080176   \n",
+       "2019-02-01  0.164581  0.144201  0.275194  0.284457  0.293521  0.102203   \n",
+       "2019-02-04  0.180851  0.137931  0.257752  0.275660  0.325253  0.144493   \n",
+       "2019-02-05  0.150188  0.120167  0.217700  0.243402  0.267078  0.138326   \n",
+       "2019-02-06  0.149562  0.059561  0.209302  0.167155  0.269282  0.135683   \n",
+       "2019-02-07  0.118273  0.009404  0.125969  0.090909  0.187748  0.078414   \n",
+       "2019-02-08  0.103880 -0.013584  0.082687  0.114370  0.162627  0.049339   \n",
+       "2019-02-11  0.128911  0.081505  0.127907  0.155425  0.175408  0.072247   \n",
+       "2019-02-12  0.119524  0.087774  0.179587  0.175953  0.200970  0.086344   \n",
+       "2019-02-13  0.140175  0.085684  0.228682  0.187683  0.221684  0.122467   \n",
+       "2019-02-14  0.154568  0.084639  0.217700  0.175953  0.262230  0.147137   \n",
+       "2019-02-15  0.172090  0.135841  0.279716  0.228739  0.293962  0.181498   \n",
+       "2019-02-19  0.177722  0.137931  0.232558  0.222874  0.290877  0.166520   \n",
+       "2019-02-20  0.160200  0.157785  0.271964  0.269795  0.316439  0.180617   \n",
+       "2019-02-21  0.122028  0.131661  0.099483  0.255132  0.281181  0.140969   \n",
+       "2019-02-22  0.209637  0.108673  0.091085  0.243402  0.281181  0.131278   \n",
+       "2019-02-25  0.172716  0.150470  0.091085  0.293255  0.249008  0.098678   \n",
+       "2019-02-26  0.143304  0.107628  0.060724  0.272727  0.239753  0.083700   \n",
+       "2019-02-27  0.165207  0.082550  0.075581  0.258065  0.102248  0.109251   \n",
+       "\n",
+       "symbol           XEC  \n",
+       "date                  \n",
+       "2018-12-31  0.000000  \n",
+       "2019-01-02  0.017194  \n",
+       "2019-01-03  0.003082  \n",
+       "2019-01-04  0.053204  \n",
+       "2019-01-07  0.076399  \n",
+       "2019-01-08  0.093755  \n",
+       "2019-01-09  0.114517  \n",
+       "2019-01-10  0.142903  \n",
+       "2019-01-11  0.145823  \n",
+       "2019-01-14  0.168370  \n",
+       "2019-01-15  0.189294  \n",
+       "2019-01-16  0.199027  \n",
+       "2019-01-17  0.188159  \n",
+       "2019-01-18  0.212328  \n",
+       "2019-01-22  0.191727  \n",
+       "2019-01-23  0.174047  \n",
+       "2019-01-24  0.188483  \n",
+       "2019-01-25  0.227899  \n",
+       "2019-01-28  0.211841  \n",
+       "2019-01-29  0.217032  \n",
+       "2019-01-30  0.238767  \n",
+       "2019-01-31  0.222060  \n",
+       "2019-02-01  0.235523  \n",
+       "2019-02-04  0.237307  \n",
+       "2019-02-05  0.226926  \n",
+       "2019-02-06  0.212814  \n",
+       "2019-02-07  0.160746  \n",
+       "2019-02-08  0.145499  \n",
+       "2019-02-11  0.172263  \n",
+       "2019-02-12  0.182482  \n",
+       "2019-02-13  0.205353  \n",
+       "2019-02-14  0.217356  \n",
+       "2019-02-15  0.235567  \n",
+       "2019-02-19  0.220608  \n",
+       "2019-02-20  0.242558  \n",
+       "2019-02-21  0.192154  \n",
+       "2019-02-22  0.206137  \n",
+       "2019-02-25  0.198658  \n",
+       "2019-02-26  0.180447  \n",
+       "2019-02-27  0.181097  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculate YTD performance\n",
+    "perf_ytd = (df_pivot / df_pivot.iloc[0,:]) - 1\n",
+    "\n",
+    "perf_ytd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f00114f6630>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "perf_ytd.plot(title='Peer YTD Performance', figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "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>symbol</th>\n",
+       "      <th>CDEV</th>\n",
+       "      <th>CRZO</th>\n",
+       "      <th>DNR</th>\n",
+       "      <th>LPI</th>\n",
+       "      <th>OAS</th>\n",
+       "      <th>PDCE</th>\n",
+       "      <th>PE</th>\n",
+       "      <th>RRC</th>\n",
+       "      <th>SM</th>\n",
+       "      <th>SWN</th>\n",
+       "      <th>WLL</th>\n",
+       "      <th>WPX</th>\n",
+       "      <th>XEC</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2018-12-31</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>0.025408</td>\n",
+       "      <td>0.019486</td>\n",
+       "      <td>0.146199</td>\n",
+       "      <td>0.033149</td>\n",
+       "      <td>0.001808</td>\n",
+       "      <td>0.022177</td>\n",
+       "      <td>0.015019</td>\n",
+       "      <td>0.040752</td>\n",
+       "      <td>-0.009044</td>\n",
+       "      <td>0.090909</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.024670</td>\n",
+       "      <td>0.017194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>-0.001770</td>\n",
+       "      <td>-0.005213</td>\n",
+       "      <td>0.005102</td>\n",
+       "      <td>-0.021390</td>\n",
+       "      <td>0.018051</td>\n",
+       "      <td>0.017751</td>\n",
+       "      <td>-0.004316</td>\n",
+       "      <td>-0.001004</td>\n",
+       "      <td>-0.001304</td>\n",
+       "      <td>-0.021505</td>\n",
+       "      <td>0.004848</td>\n",
+       "      <td>-0.007739</td>\n",
+       "      <td>-0.013873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>0.046986</td>\n",
+       "      <td>0.063755</td>\n",
+       "      <td>0.111675</td>\n",
+       "      <td>0.090164</td>\n",
+       "      <td>0.070922</td>\n",
+       "      <td>0.056525</td>\n",
+       "      <td>0.045201</td>\n",
+       "      <td>0.074372</td>\n",
+       "      <td>0.085509</td>\n",
+       "      <td>0.071429</td>\n",
+       "      <td>0.086404</td>\n",
+       "      <td>0.051127</td>\n",
+       "      <td>0.049968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-07</th>\n",
+       "      <td>0.073666</td>\n",
+       "      <td>0.029557</td>\n",
+       "      <td>0.004566</td>\n",
+       "      <td>0.032581</td>\n",
+       "      <td>0.023179</td>\n",
+       "      <td>0.047080</td>\n",
+       "      <td>0.073460</td>\n",
+       "      <td>0.041160</td>\n",
+       "      <td>0.051112</td>\n",
+       "      <td>0.043590</td>\n",
+       "      <td>0.075898</td>\n",
+       "      <td>0.061006</td>\n",
+       "      <td>0.022024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-08</th>\n",
+       "      <td>0.016562</td>\n",
+       "      <td>-0.003987</td>\n",
+       "      <td>-0.004545</td>\n",
+       "      <td>0.012136</td>\n",
+       "      <td>0.038835</td>\n",
+       "      <td>-0.006715</td>\n",
+       "      <td>0.034216</td>\n",
+       "      <td>-0.011680</td>\n",
+       "      <td>0.027460</td>\n",
+       "      <td>0.009828</td>\n",
+       "      <td>0.019887</td>\n",
+       "      <td>0.004662</td>\n",
+       "      <td>0.016124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-09</th>\n",
+       "      <td>0.025601</td>\n",
+       "      <td>0.035228</td>\n",
+       "      <td>0.018265</td>\n",
+       "      <td>0.004796</td>\n",
+       "      <td>0.024922</td>\n",
+       "      <td>0.000588</td>\n",
+       "      <td>0.024013</td>\n",
+       "      <td>0.054545</td>\n",
+       "      <td>0.045657</td>\n",
+       "      <td>0.063260</td>\n",
+       "      <td>0.053348</td>\n",
+       "      <td>0.010054</td>\n",
+       "      <td>0.018983</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-10</th>\n",
+       "      <td>-0.000756</td>\n",
+       "      <td>-0.022428</td>\n",
+       "      <td>0.026906</td>\n",
+       "      <td>-0.002387</td>\n",
+       "      <td>0.001520</td>\n",
+       "      <td>-0.001469</td>\n",
+       "      <td>-0.009380</td>\n",
+       "      <td>-0.013793</td>\n",
+       "      <td>0.035144</td>\n",
+       "      <td>-0.016018</td>\n",
+       "      <td>0.001397</td>\n",
+       "      <td>0.009188</td>\n",
+       "      <td>0.025469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-11</th>\n",
+       "      <td>-0.013626</td>\n",
+       "      <td>-0.031646</td>\n",
+       "      <td>-0.052402</td>\n",
+       "      <td>-0.040670</td>\n",
+       "      <td>-0.039454</td>\n",
+       "      <td>-0.012357</td>\n",
+       "      <td>-0.015255</td>\n",
+       "      <td>0.005245</td>\n",
+       "      <td>-0.006687</td>\n",
+       "      <td>0.011628</td>\n",
+       "      <td>-0.041856</td>\n",
+       "      <td>-0.025038</td>\n",
+       "      <td>0.002555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-14</th>\n",
+       "      <td>0.020721</td>\n",
+       "      <td>0.008170</td>\n",
+       "      <td>-0.009217</td>\n",
+       "      <td>0.004988</td>\n",
+       "      <td>0.012638</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.013889</td>\n",
+       "      <td>0.032174</td>\n",
+       "      <td>0.001554</td>\n",
+       "      <td>0.006897</td>\n",
+       "      <td>0.014561</td>\n",
+       "      <td>-0.010117</td>\n",
+       "      <td>0.019677</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-15</th>\n",
+       "      <td>0.015038</td>\n",
+       "      <td>0.016207</td>\n",
+       "      <td>0.018605</td>\n",
+       "      <td>-0.007444</td>\n",
+       "      <td>0.014041</td>\n",
+       "      <td>-0.002085</td>\n",
+       "      <td>0.013001</td>\n",
+       "      <td>-0.010952</td>\n",
+       "      <td>0.026370</td>\n",
+       "      <td>0.006849</td>\n",
+       "      <td>0.034446</td>\n",
+       "      <td>0.011006</td>\n",
+       "      <td>0.017909</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-16</th>\n",
+       "      <td>0.019259</td>\n",
+       "      <td>-0.033493</td>\n",
+       "      <td>-0.009132</td>\n",
+       "      <td>-0.005000</td>\n",
+       "      <td>0.006154</td>\n",
+       "      <td>-0.011045</td>\n",
+       "      <td>0.014973</td>\n",
+       "      <td>-0.002555</td>\n",
+       "      <td>0.008564</td>\n",
+       "      <td>-0.004535</td>\n",
+       "      <td>-0.000347</td>\n",
+       "      <td>-0.008554</td>\n",
+       "      <td>0.008183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-17</th>\n",
+       "      <td>0.010901</td>\n",
+       "      <td>-0.020627</td>\n",
+       "      <td>0.004608</td>\n",
+       "      <td>-0.065327</td>\n",
+       "      <td>0.013761</td>\n",
+       "      <td>-0.006942</td>\n",
+       "      <td>0.003688</td>\n",
+       "      <td>-0.016225</td>\n",
+       "      <td>0.015485</td>\n",
+       "      <td>0.013667</td>\n",
+       "      <td>0.009715</td>\n",
+       "      <td>-0.003137</td>\n",
+       "      <td>-0.009064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-18</th>\n",
+       "      <td>0.020848</td>\n",
+       "      <td>0.055602</td>\n",
+       "      <td>0.027523</td>\n",
+       "      <td>0.048387</td>\n",
+       "      <td>0.022624</td>\n",
+       "      <td>0.019757</td>\n",
+       "      <td>0.010499</td>\n",
+       "      <td>0.002604</td>\n",
+       "      <td>0.039843</td>\n",
+       "      <td>0.031461</td>\n",
+       "      <td>0.024399</td>\n",
+       "      <td>0.029898</td>\n",
+       "      <td>0.020341</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-22</th>\n",
+       "      <td>-0.071127</td>\n",
+       "      <td>-0.038308</td>\n",
+       "      <td>-0.089286</td>\n",
+       "      <td>-0.082051</td>\n",
+       "      <td>-0.094395</td>\n",
+       "      <td>-0.001192</td>\n",
+       "      <td>-0.030130</td>\n",
+       "      <td>-0.058009</td>\n",
+       "      <td>-0.052507</td>\n",
+       "      <td>-0.069717</td>\n",
+       "      <td>-0.082858</td>\n",
+       "      <td>-0.062643</td>\n",
+       "      <td>-0.016992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-23</th>\n",
+       "      <td>-0.018954</td>\n",
+       "      <td>-0.058091</td>\n",
+       "      <td>-0.019608</td>\n",
+       "      <td>-0.013966</td>\n",
+       "      <td>-0.013029</td>\n",
+       "      <td>0.008654</td>\n",
+       "      <td>-0.027317</td>\n",
+       "      <td>-0.026654</td>\n",
+       "      <td>-0.041937</td>\n",
+       "      <td>-0.014052</td>\n",
+       "      <td>-0.034382</td>\n",
+       "      <td>-0.013040</td>\n",
+       "      <td>-0.014836</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-24</th>\n",
+       "      <td>-0.011592</td>\n",
+       "      <td>0.008811</td>\n",
+       "      <td>0.010000</td>\n",
+       "      <td>0.025496</td>\n",
+       "      <td>0.026403</td>\n",
+       "      <td>-0.007692</td>\n",
+       "      <td>-0.001101</td>\n",
+       "      <td>0.020774</td>\n",
+       "      <td>-0.003127</td>\n",
+       "      <td>0.033254</td>\n",
+       "      <td>0.036364</td>\n",
+       "      <td>0.009909</td>\n",
+       "      <td>0.012296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-25</th>\n",
+       "      <td>0.021892</td>\n",
+       "      <td>-0.009607</td>\n",
+       "      <td>0.024752</td>\n",
+       "      <td>0.019337</td>\n",
+       "      <td>0.006431</td>\n",
+       "      <td>-0.003280</td>\n",
+       "      <td>0.017641</td>\n",
+       "      <td>0.042553</td>\n",
+       "      <td>0.018296</td>\n",
+       "      <td>0.041379</td>\n",
+       "      <td>0.043860</td>\n",
+       "      <td>0.020442</td>\n",
+       "      <td>0.033165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-28</th>\n",
+       "      <td>-0.011477</td>\n",
+       "      <td>-0.015873</td>\n",
+       "      <td>-0.048309</td>\n",
+       "      <td>-0.024390</td>\n",
+       "      <td>-0.022364</td>\n",
+       "      <td>-0.042776</td>\n",
+       "      <td>-0.024919</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.008727</td>\n",
+       "      <td>-0.030905</td>\n",
+       "      <td>-0.014006</td>\n",
+       "      <td>-0.027244</td>\n",
+       "      <td>-0.013078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-29</th>\n",
+       "      <td>0.006192</td>\n",
+       "      <td>0.022401</td>\n",
+       "      <td>0.025381</td>\n",
+       "      <td>0.013889</td>\n",
+       "      <td>-0.008170</td>\n",
+       "      <td>-0.008750</td>\n",
+       "      <td>0.005556</td>\n",
+       "      <td>0.005324</td>\n",
+       "      <td>0.019161</td>\n",
+       "      <td>0.018223</td>\n",
+       "      <td>-0.003906</td>\n",
+       "      <td>0.000824</td>\n",
+       "      <td>0.004283</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-30</th>\n",
+       "      <td>0.035385</td>\n",
+       "      <td>0.090272</td>\n",
+       "      <td>0.044554</td>\n",
+       "      <td>0.057534</td>\n",
+       "      <td>0.037891</td>\n",
+       "      <td>0.075347</td>\n",
+       "      <td>0.039227</td>\n",
+       "      <td>0.037952</td>\n",
+       "      <td>0.037602</td>\n",
+       "      <td>0.029083</td>\n",
+       "      <td>0.049911</td>\n",
+       "      <td>0.016461</td>\n",
+       "      <td>0.017860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-31</th>\n",
+       "      <td>-0.021545</td>\n",
+       "      <td>-0.012862</td>\n",
+       "      <td>-0.037915</td>\n",
+       "      <td>-0.015544</td>\n",
+       "      <td>-0.044444</td>\n",
+       "      <td>-0.045148</td>\n",
+       "      <td>-0.012228</td>\n",
+       "      <td>-0.062075</td>\n",
+       "      <td>-0.039177</td>\n",
+       "      <td>-0.050000</td>\n",
+       "      <td>-0.027844</td>\n",
+       "      <td>-0.007287</td>\n",
+       "      <td>-0.013487</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-01</th>\n",
+       "      <td>0.011390</td>\n",
+       "      <td>0.045603</td>\n",
+       "      <td>0.019704</td>\n",
+       "      <td>0.026316</td>\n",
+       "      <td>0.018272</td>\n",
+       "      <td>0.017501</td>\n",
+       "      <td>0.001615</td>\n",
+       "      <td>-0.007253</td>\n",
+       "      <td>0.006116</td>\n",
+       "      <td>0.002288</td>\n",
+       "      <td>0.025148</td>\n",
+       "      <td>0.020392</td>\n",
+       "      <td>0.011017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-04</th>\n",
+       "      <td>0.000751</td>\n",
+       "      <td>0.014798</td>\n",
+       "      <td>0.004831</td>\n",
+       "      <td>0.012821</td>\n",
+       "      <td>0.001631</td>\n",
+       "      <td>0.013881</td>\n",
+       "      <td>0.013971</td>\n",
+       "      <td>-0.005479</td>\n",
+       "      <td>-0.013678</td>\n",
+       "      <td>-0.006849</td>\n",
+       "      <td>0.024532</td>\n",
+       "      <td>0.038369</td>\n",
+       "      <td>0.001444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-05</th>\n",
+       "      <td>-0.032258</td>\n",
+       "      <td>-0.026094</td>\n",
+       "      <td>-0.028846</td>\n",
+       "      <td>-0.030380</td>\n",
+       "      <td>-0.053746</td>\n",
+       "      <td>-0.011905</td>\n",
+       "      <td>-0.025967</td>\n",
+       "      <td>-0.015611</td>\n",
+       "      <td>-0.031844</td>\n",
+       "      <td>-0.025287</td>\n",
+       "      <td>-0.043898</td>\n",
+       "      <td>-0.005389</td>\n",
+       "      <td>-0.008390</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-06</th>\n",
+       "      <td>-0.003101</td>\n",
+       "      <td>-0.013396</td>\n",
+       "      <td>-0.024752</td>\n",
+       "      <td>-0.015666</td>\n",
+       "      <td>-0.008606</td>\n",
+       "      <td>-0.006325</td>\n",
+       "      <td>-0.000544</td>\n",
+       "      <td>-0.054104</td>\n",
+       "      <td>-0.006897</td>\n",
+       "      <td>-0.061321</td>\n",
+       "      <td>0.001739</td>\n",
+       "      <td>-0.002322</td>\n",
+       "      <td>-0.011502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-07</th>\n",
+       "      <td>-0.031104</td>\n",
+       "      <td>-0.069489</td>\n",
+       "      <td>-0.060914</td>\n",
+       "      <td>-0.082228</td>\n",
+       "      <td>-0.029514</td>\n",
+       "      <td>-0.032737</td>\n",
+       "      <td>-0.027218</td>\n",
+       "      <td>-0.047337</td>\n",
+       "      <td>-0.068910</td>\n",
+       "      <td>-0.065327</td>\n",
+       "      <td>-0.064236</td>\n",
+       "      <td>-0.050427</td>\n",
+       "      <td>-0.042932</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-08</th>\n",
+       "      <td>-0.016051</td>\n",
+       "      <td>-0.054077</td>\n",
+       "      <td>-0.075676</td>\n",
+       "      <td>-0.005780</td>\n",
+       "      <td>-0.012522</td>\n",
+       "      <td>-0.034159</td>\n",
+       "      <td>-0.012871</td>\n",
+       "      <td>-0.022774</td>\n",
+       "      <td>-0.038439</td>\n",
+       "      <td>0.021505</td>\n",
+       "      <td>-0.021150</td>\n",
+       "      <td>-0.026961</td>\n",
+       "      <td>-0.013136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-11</th>\n",
+       "      <td>0.005710</td>\n",
+       "      <td>0.022686</td>\n",
+       "      <td>0.046784</td>\n",
+       "      <td>0.075581</td>\n",
+       "      <td>0.023551</td>\n",
+       "      <td>0.008761</td>\n",
+       "      <td>0.022676</td>\n",
+       "      <td>0.096398</td>\n",
+       "      <td>0.041766</td>\n",
+       "      <td>0.036842</td>\n",
+       "      <td>0.010993</td>\n",
+       "      <td>0.021830</td>\n",
+       "      <td>0.023364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-12</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.031056</td>\n",
+       "      <td>0.033520</td>\n",
+       "      <td>-0.018919</td>\n",
+       "      <td>0.021239</td>\n",
+       "      <td>0.082020</td>\n",
+       "      <td>-0.008315</td>\n",
+       "      <td>0.005797</td>\n",
+       "      <td>0.045819</td>\n",
+       "      <td>0.017766</td>\n",
+       "      <td>0.021747</td>\n",
+       "      <td>0.013147</td>\n",
+       "      <td>0.008717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-13</th>\n",
+       "      <td>-0.002433</td>\n",
+       "      <td>0.025818</td>\n",
+       "      <td>0.037838</td>\n",
+       "      <td>0.044077</td>\n",
+       "      <td>0.017331</td>\n",
+       "      <td>0.051130</td>\n",
+       "      <td>0.018446</td>\n",
+       "      <td>-0.001921</td>\n",
+       "      <td>0.041621</td>\n",
+       "      <td>0.009975</td>\n",
+       "      <td>0.017248</td>\n",
+       "      <td>0.033252</td>\n",
+       "      <td>0.019342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-14</th>\n",
+       "      <td>0.020325</td>\n",
+       "      <td>0.021812</td>\n",
+       "      <td>0.083333</td>\n",
+       "      <td>0.015831</td>\n",
+       "      <td>0.008518</td>\n",
+       "      <td>0.033088</td>\n",
+       "      <td>0.012623</td>\n",
+       "      <td>-0.000962</td>\n",
+       "      <td>-0.008938</td>\n",
+       "      <td>-0.009877</td>\n",
+       "      <td>0.033189</td>\n",
+       "      <td>0.021978</td>\n",
+       "      <td>0.009958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-15</th>\n",
+       "      <td>0.034263</td>\n",
+       "      <td>0.041051</td>\n",
+       "      <td>0.033654</td>\n",
+       "      <td>0.002597</td>\n",
+       "      <td>0.050676</td>\n",
+       "      <td>0.046811</td>\n",
+       "      <td>0.015176</td>\n",
+       "      <td>0.047206</td>\n",
+       "      <td>0.050928</td>\n",
+       "      <td>0.044888</td>\n",
+       "      <td>0.025140</td>\n",
+       "      <td>0.029954</td>\n",
+       "      <td>0.014959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-19</th>\n",
+       "      <td>-0.006163</td>\n",
+       "      <td>-0.008675</td>\n",
+       "      <td>0.009302</td>\n",
+       "      <td>-0.025907</td>\n",
+       "      <td>-0.014469</td>\n",
+       "      <td>-0.003923</td>\n",
+       "      <td>0.004805</td>\n",
+       "      <td>0.001840</td>\n",
+       "      <td>-0.036850</td>\n",
+       "      <td>-0.004773</td>\n",
+       "      <td>-0.002384</td>\n",
+       "      <td>-0.012677</td>\n",
+       "      <td>-0.012107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-20</th>\n",
+       "      <td>0.015504</td>\n",
+       "      <td>0.002387</td>\n",
+       "      <td>0.032258</td>\n",
+       "      <td>0.015957</td>\n",
+       "      <td>0.035889</td>\n",
+       "      <td>0.030717</td>\n",
+       "      <td>-0.014878</td>\n",
+       "      <td>0.017447</td>\n",
+       "      <td>0.031971</td>\n",
+       "      <td>0.038369</td>\n",
+       "      <td>0.019802</td>\n",
+       "      <td>0.012085</td>\n",
+       "      <td>0.017983</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-21</th>\n",
+       "      <td>-0.057252</td>\n",
+       "      <td>-0.057143</td>\n",
+       "      <td>-0.044643</td>\n",
+       "      <td>-0.060209</td>\n",
+       "      <td>-0.044094</td>\n",
+       "      <td>-0.012990</td>\n",
+       "      <td>-0.032902</td>\n",
+       "      <td>-0.022563</td>\n",
+       "      <td>-0.135602</td>\n",
+       "      <td>-0.011547</td>\n",
+       "      <td>-0.026783</td>\n",
+       "      <td>-0.033582</td>\n",
+       "      <td>-0.040565</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-22</th>\n",
+       "      <td>0.016194</td>\n",
+       "      <td>-0.008418</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.008357</td>\n",
+       "      <td>0.013180</td>\n",
+       "      <td>0.008516</td>\n",
+       "      <td>0.078081</td>\n",
+       "      <td>-0.020314</td>\n",
+       "      <td>-0.007638</td>\n",
+       "      <td>-0.009346</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.008494</td>\n",
+       "      <td>0.011729</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-25</th>\n",
+       "      <td>0.012749</td>\n",
+       "      <td>-0.013582</td>\n",
+       "      <td>-0.023364</td>\n",
+       "      <td>-0.008287</td>\n",
+       "      <td>-0.009756</td>\n",
+       "      <td>-0.038639</td>\n",
+       "      <td>-0.030523</td>\n",
+       "      <td>0.037700</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.040094</td>\n",
+       "      <td>-0.025112</td>\n",
+       "      <td>-0.028816</td>\n",
+       "      <td>-0.006201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-26</th>\n",
+       "      <td>-0.225806</td>\n",
+       "      <td>0.028399</td>\n",
+       "      <td>-0.033493</td>\n",
+       "      <td>-0.025070</td>\n",
+       "      <td>-0.031199</td>\n",
+       "      <td>-0.014107</td>\n",
+       "      <td>-0.025080</td>\n",
+       "      <td>-0.037239</td>\n",
+       "      <td>-0.027827</td>\n",
+       "      <td>-0.015873</td>\n",
+       "      <td>-0.007410</td>\n",
+       "      <td>-0.013633</td>\n",
+       "      <td>-0.015193</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-02-27</th>\n",
+       "      <td>-0.018293</td>\n",
+       "      <td>-0.054393</td>\n",
+       "      <td>0.014851</td>\n",
+       "      <td>-0.005714</td>\n",
+       "      <td>0.001695</td>\n",
+       "      <td>0.002700</td>\n",
+       "      <td>0.019157</td>\n",
+       "      <td>-0.022642</td>\n",
+       "      <td>0.014007</td>\n",
+       "      <td>-0.011521</td>\n",
+       "      <td>-0.110914</td>\n",
+       "      <td>0.023577</td>\n",
+       "      <td>0.000551</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "symbol          CDEV      CRZO       DNR       LPI       OAS      PDCE  \\\n",
+       "date                                                                     \n",
+       "2018-12-31       NaN       NaN       NaN       NaN       NaN       NaN   \n",
+       "2019-01-02  0.025408  0.019486  0.146199  0.033149  0.001808  0.022177   \n",
+       "2019-01-03 -0.001770 -0.005213  0.005102 -0.021390  0.018051  0.017751   \n",
+       "2019-01-04  0.046986  0.063755  0.111675  0.090164  0.070922  0.056525   \n",
+       "2019-01-07  0.073666  0.029557  0.004566  0.032581  0.023179  0.047080   \n",
+       "2019-01-08  0.016562 -0.003987 -0.004545  0.012136  0.038835 -0.006715   \n",
+       "2019-01-09  0.025601  0.035228  0.018265  0.004796  0.024922  0.000588   \n",
+       "2019-01-10 -0.000756 -0.022428  0.026906 -0.002387  0.001520 -0.001469   \n",
+       "2019-01-11 -0.013626 -0.031646 -0.052402 -0.040670 -0.039454 -0.012357   \n",
+       "2019-01-14  0.020721  0.008170 -0.009217  0.004988  0.012638  0.000000   \n",
+       "2019-01-15  0.015038  0.016207  0.018605 -0.007444  0.014041 -0.002085   \n",
+       "2019-01-16  0.019259 -0.033493 -0.009132 -0.005000  0.006154 -0.011045   \n",
+       "2019-01-17  0.010901 -0.020627  0.004608 -0.065327  0.013761 -0.006942   \n",
+       "2019-01-18  0.020848  0.055602  0.027523  0.048387  0.022624  0.019757   \n",
+       "2019-01-22 -0.071127 -0.038308 -0.089286 -0.082051 -0.094395 -0.001192   \n",
+       "2019-01-23 -0.018954 -0.058091 -0.019608 -0.013966 -0.013029  0.008654   \n",
+       "2019-01-24 -0.011592  0.008811  0.010000  0.025496  0.026403 -0.007692   \n",
+       "2019-01-25  0.021892 -0.009607  0.024752  0.019337  0.006431 -0.003280   \n",
+       "2019-01-28 -0.011477 -0.015873 -0.048309 -0.024390 -0.022364 -0.042776   \n",
+       "2019-01-29  0.006192  0.022401  0.025381  0.013889 -0.008170 -0.008750   \n",
+       "2019-01-30  0.035385  0.090272  0.044554  0.057534  0.037891  0.075347   \n",
+       "2019-01-31 -0.021545 -0.012862 -0.037915 -0.015544 -0.044444 -0.045148   \n",
+       "2019-02-01  0.011390  0.045603  0.019704  0.026316  0.018272  0.017501   \n",
+       "2019-02-04  0.000751  0.014798  0.004831  0.012821  0.001631  0.013881   \n",
+       "2019-02-05 -0.032258 -0.026094 -0.028846 -0.030380 -0.053746 -0.011905   \n",
+       "2019-02-06 -0.003101 -0.013396 -0.024752 -0.015666 -0.008606 -0.006325   \n",
+       "2019-02-07 -0.031104 -0.069489 -0.060914 -0.082228 -0.029514 -0.032737   \n",
+       "2019-02-08 -0.016051 -0.054077 -0.075676 -0.005780 -0.012522 -0.034159   \n",
+       "2019-02-11  0.005710  0.022686  0.046784  0.075581  0.023551  0.008761   \n",
+       "2019-02-12  0.000000  0.031056  0.033520 -0.018919  0.021239  0.082020   \n",
+       "2019-02-13 -0.002433  0.025818  0.037838  0.044077  0.017331  0.051130   \n",
+       "2019-02-14  0.020325  0.021812  0.083333  0.015831  0.008518  0.033088   \n",
+       "2019-02-15  0.034263  0.041051  0.033654  0.002597  0.050676  0.046811   \n",
+       "2019-02-19 -0.006163 -0.008675  0.009302 -0.025907 -0.014469 -0.003923   \n",
+       "2019-02-20  0.015504  0.002387  0.032258  0.015957  0.035889  0.030717   \n",
+       "2019-02-21 -0.057252 -0.057143 -0.044643 -0.060209 -0.044094 -0.012990   \n",
+       "2019-02-22  0.016194 -0.008418  0.000000  0.008357  0.013180  0.008516   \n",
+       "2019-02-25  0.012749 -0.013582 -0.023364 -0.008287 -0.009756 -0.038639   \n",
+       "2019-02-26 -0.225806  0.028399 -0.033493 -0.025070 -0.031199 -0.014107   \n",
+       "2019-02-27 -0.018293 -0.054393  0.014851 -0.005714  0.001695  0.002700   \n",
+       "\n",
+       "symbol            PE       RRC        SM       SWN       WLL       WPX  \\\n",
+       "date                                                                     \n",
+       "2018-12-31       NaN       NaN       NaN       NaN       NaN       NaN   \n",
+       "2019-01-02  0.015019  0.040752 -0.009044  0.090909  0.000000  0.024670   \n",
+       "2019-01-03 -0.004316 -0.001004 -0.001304 -0.021505  0.004848 -0.007739   \n",
+       "2019-01-04  0.045201  0.074372  0.085509  0.071429  0.086404  0.051127   \n",
+       "2019-01-07  0.073460  0.041160  0.051112  0.043590  0.075898  0.061006   \n",
+       "2019-01-08  0.034216 -0.011680  0.027460  0.009828  0.019887  0.004662   \n",
+       "2019-01-09  0.024013  0.054545  0.045657  0.063260  0.053348  0.010054   \n",
+       "2019-01-10 -0.009380 -0.013793  0.035144 -0.016018  0.001397  0.009188   \n",
+       "2019-01-11 -0.015255  0.005245 -0.006687  0.011628 -0.041856 -0.025038   \n",
+       "2019-01-14 -0.013889  0.032174  0.001554  0.006897  0.014561 -0.010117   \n",
+       "2019-01-15  0.013001 -0.010952  0.026370  0.006849  0.034446  0.011006   \n",
+       "2019-01-16  0.014973 -0.002555  0.008564 -0.004535 -0.000347 -0.008554   \n",
+       "2019-01-17  0.003688 -0.016225  0.015485  0.013667  0.009715 -0.003137   \n",
+       "2019-01-18  0.010499  0.002604  0.039843  0.031461  0.024399  0.029898   \n",
+       "2019-01-22 -0.030130 -0.058009 -0.052507 -0.069717 -0.082858 -0.062643   \n",
+       "2019-01-23 -0.027317 -0.026654 -0.041937 -0.014052 -0.034382 -0.013040   \n",
+       "2019-01-24 -0.001101  0.020774 -0.003127  0.033254  0.036364  0.009909   \n",
+       "2019-01-25  0.017641  0.042553  0.018296  0.041379  0.043860  0.020442   \n",
+       "2019-01-28 -0.024919  0.000000 -0.008727 -0.030905 -0.014006 -0.027244   \n",
+       "2019-01-29  0.005556  0.005324  0.019161  0.018223 -0.003906  0.000824   \n",
+       "2019-01-30  0.039227  0.037952  0.037602  0.029083  0.049911  0.016461   \n",
+       "2019-01-31 -0.012228 -0.062075 -0.039177 -0.050000 -0.027844 -0.007287   \n",
+       "2019-02-01  0.001615 -0.007253  0.006116  0.002288  0.025148  0.020392   \n",
+       "2019-02-04  0.013971 -0.005479 -0.013678 -0.006849  0.024532  0.038369   \n",
+       "2019-02-05 -0.025967 -0.015611 -0.031844 -0.025287 -0.043898 -0.005389   \n",
+       "2019-02-06 -0.000544 -0.054104 -0.006897 -0.061321  0.001739 -0.002322   \n",
+       "2019-02-07 -0.027218 -0.047337 -0.068910 -0.065327 -0.064236 -0.050427   \n",
+       "2019-02-08 -0.012871 -0.022774 -0.038439  0.021505 -0.021150 -0.026961   \n",
+       "2019-02-11  0.022676  0.096398  0.041766  0.036842  0.010993  0.021830   \n",
+       "2019-02-12 -0.008315  0.005797  0.045819  0.017766  0.021747  0.013147   \n",
+       "2019-02-13  0.018446 -0.001921  0.041621  0.009975  0.017248  0.033252   \n",
+       "2019-02-14  0.012623 -0.000962 -0.008938 -0.009877  0.033189  0.021978   \n",
+       "2019-02-15  0.015176  0.047206  0.050928  0.044888  0.025140  0.029954   \n",
+       "2019-02-19  0.004805  0.001840 -0.036850 -0.004773 -0.002384 -0.012677   \n",
+       "2019-02-20 -0.014878  0.017447  0.031971  0.038369  0.019802  0.012085   \n",
+       "2019-02-21 -0.032902 -0.022563 -0.135602 -0.011547 -0.026783 -0.033582   \n",
+       "2019-02-22  0.078081 -0.020314 -0.007638 -0.009346  0.000000 -0.008494   \n",
+       "2019-02-25 -0.030523  0.037700  0.000000  0.040094 -0.025112 -0.028816   \n",
+       "2019-02-26 -0.025080 -0.037239 -0.027827 -0.015873 -0.007410 -0.013633   \n",
+       "2019-02-27  0.019157 -0.022642  0.014007 -0.011521 -0.110914  0.023577   \n",
+       "\n",
+       "symbol           XEC  \n",
+       "date                  \n",
+       "2018-12-31       NaN  \n",
+       "2019-01-02  0.017194  \n",
+       "2019-01-03 -0.013873  \n",
+       "2019-01-04  0.049968  \n",
+       "2019-01-07  0.022024  \n",
+       "2019-01-08  0.016124  \n",
+       "2019-01-09  0.018983  \n",
+       "2019-01-10  0.025469  \n",
+       "2019-01-11  0.002555  \n",
+       "2019-01-14  0.019677  \n",
+       "2019-01-15  0.017909  \n",
+       "2019-01-16  0.008183  \n",
+       "2019-01-17 -0.009064  \n",
+       "2019-01-18  0.020341  \n",
+       "2019-01-22 -0.016992  \n",
+       "2019-01-23 -0.014836  \n",
+       "2019-01-24  0.012296  \n",
+       "2019-01-25  0.033165  \n",
+       "2019-01-28 -0.013078  \n",
+       "2019-01-29  0.004283  \n",
+       "2019-01-30  0.017860  \n",
+       "2019-01-31 -0.013487  \n",
+       "2019-02-01  0.011017  \n",
+       "2019-02-04  0.001444  \n",
+       "2019-02-05 -0.008390  \n",
+       "2019-02-06 -0.011502  \n",
+       "2019-02-07 -0.042932  \n",
+       "2019-02-08 -0.013136  \n",
+       "2019-02-11  0.023364  \n",
+       "2019-02-12  0.008717  \n",
+       "2019-02-13  0.019342  \n",
+       "2019-02-14  0.009958  \n",
+       "2019-02-15  0.014959  \n",
+       "2019-02-19 -0.012107  \n",
+       "2019-02-20  0.017983  \n",
+       "2019-02-21 -0.040565  \n",
+       "2019-02-22  0.011729  \n",
+       "2019-02-25 -0.006201  \n",
+       "2019-02-26 -0.015193  \n",
+       "2019-02-27  0.000551  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Daily performance\n",
+    "perf_daily = df_pivot.pct_change(1)\n",
+    "\n",
+    "perf_daily"
+   ]
+  },
+  {
+   "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": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}