{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dow Component Performance\n",
    "\n",
    "Display the trailing `n` day performance of the components of the Dow index."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preliminaries\n",
    "\n",
    "Import packages. Use `pandas_datareader.data` for accessing prices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pandas_datareader.data as web\n",
    "from datetime import timedelta, date\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "pd.options.display.float_format = '{:+.4f}'.format"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "set up array of Dow components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "components= [\"MMM\", \"AXP\", \"AAPL\", \"BA\", \"CAT\", \"CVX\", \"CSCO\", \"KO\",\n",
    "             \"DWDP\", \"XOM\", \"GE\", \"GS\", \"HD\", \"IBM\", \"INTC\", \"JNJ\",\n",
    "             \"JPM\", \"MCD\", \"MRK\", \"MSFT\", \"NKE\", \"PFE\", \"PG\", \"TRV\",\n",
    "             \"UNH\", \"UTX\", \"VZ\", \"V\", \"WMT\", \"DIS\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "set up the date range for the plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "today = date.today()\n",
    "start = today - timedelta(days=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download prices\n",
    "\n",
    "Using `quandl` get a dataframe with the `n` days for price history.\n",
    "Keep the `AdjClose` for calculating the daily returns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def collect(components):\n",
    "    ss = {}\n",
    "    for ticker in components:\n",
    "        s = web.DataReader('WIKI/' + ticker, 'quandl', start=start)['AdjClose']\n",
    "        s = s.rename(ticker)\n",
    "        ss[ticker] = s\n",
    "    return pd.DataFrame(ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
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       "      <th>VZ</th>\n",
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       "      <th>XOM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-11-15</th>\n",
       "      <td>+169.0800</td>\n",
       "      <td>+93.2600</td>\n",
       "      <td>+262.8600</td>\n",
       "      <td>+134.1000</td>\n",
       "      <td>+34.1100</td>\n",
       "      <td>+116.4500</td>\n",
       "      <td>+103.6900</td>\n",
       "      <td>+68.9700</td>\n",
       "      <td>+18.2600</td>\n",
       "      <td>+237.6100</td>\n",
       "      <td>...</td>\n",
       "      <td>+56.6300</td>\n",
       "      <td>+35.3600</td>\n",
       "      <td>+88.2300</td>\n",
       "      <td>+133.7100</td>\n",
       "      <td>+209.8600</td>\n",
       "      <td>+117.5700</td>\n",
       "      <td>+110.2500</td>\n",
       "      <td>+44.1100</td>\n",
       "      <td>+89.8300</td>\n",
       "      <td>+81.2100</td>\n",
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       "      <th>2017-11-16</th>\n",
       "      <td>+171.1000</td>\n",
       "      <td>+93.5600</td>\n",
       "      <td>+263.7000</td>\n",
       "      <td>+136.3600</td>\n",
       "      <td>+35.8800</td>\n",
       "      <td>+114.5700</td>\n",
       "      <td>+103.6000</td>\n",
       "      <td>+70.6800</td>\n",
       "      <td>+18.2500</td>\n",
       "      <td>+239.3700</td>\n",
       "      <td>...</td>\n",
       "      <td>+57.2300</td>\n",
       "      <td>+35.5600</td>\n",
       "      <td>+89.2500</td>\n",
       "      <td>+130.8100</td>\n",
       "      <td>+211.1300</td>\n",
       "      <td>+117.8900</td>\n",
       "      <td>+111.0200</td>\n",
       "      <td>+44.7700</td>\n",
       "      <td>+99.6200</td>\n",
       "      <td>+80.5600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-17</th>\n",
       "      <td>+170.1500</td>\n",
       "      <td>+93.6900</td>\n",
       "      <td>+262.2600</td>\n",
       "      <td>+136.1300</td>\n",
       "      <td>+35.9000</td>\n",
       "      <td>+114.7100</td>\n",
       "      <td>+103.4400</td>\n",
       "      <td>+70.7400</td>\n",
       "      <td>+18.2100</td>\n",
       "      <td>+238.0200</td>\n",
       "      <td>...</td>\n",
       "      <td>+59.1900</td>\n",
       "      <td>+35.3700</td>\n",
       "      <td>+88.4300</td>\n",
       "      <td>+129.9200</td>\n",
       "      <td>+209.9000</td>\n",
       "      <td>+116.5300</td>\n",
       "      <td>+109.8200</td>\n",
       "      <td>+45.4200</td>\n",
       "      <td>+97.4700</td>\n",
       "      <td>+80.2400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-20</th>\n",
       "      <td>+169.9800</td>\n",
       "      <td>+93.9500</td>\n",
       "      <td>+264.6300</td>\n",
       "      <td>+136.9100</td>\n",
       "      <td>+36.5000</td>\n",
       "      <td>+114.7200</td>\n",
       "      <td>+102.7500</td>\n",
       "      <td>+70.8500</td>\n",
       "      <td>+17.9800</td>\n",
       "      <td>+238.1300</td>\n",
       "      <td>...</td>\n",
       "      <td>+59.2500</td>\n",
       "      <td>+35.3500</td>\n",
       "      <td>+88.2700</td>\n",
       "      <td>+129.7700</td>\n",
       "      <td>+210.2500</td>\n",
       "      <td>+116.3800</td>\n",
       "      <td>+109.9500</td>\n",
       "      <td>+46.2000</td>\n",
       "      <td>+97.4800</td>\n",
       "      <td>+80.5500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21</th>\n",
       "      <td>+173.1400</td>\n",
       "      <td>+94.4100</td>\n",
       "      <td>+266.9900</td>\n",
       "      <td>+137.6000</td>\n",
       "      <td>+36.6500</td>\n",
       "      <td>+115.1700</td>\n",
       "      <td>+103.0000</td>\n",
       "      <td>+71.2600</td>\n",
       "      <td>+17.8300</td>\n",
       "      <td>+238.0200</td>\n",
       "      <td>...</td>\n",
       "      <td>+59.3900</td>\n",
       "      <td>+35.5400</td>\n",
       "      <td>+88.7200</td>\n",
       "      <td>+130.6300</td>\n",
       "      <td>+212.6000</td>\n",
       "      <td>+117.0400</td>\n",
       "      <td>+111.4500</td>\n",
       "      <td>+46.1800</td>\n",
       "      <td>+96.5200</td>\n",
       "      <td>+80.8700</td>\n",
       "    </tr>\n",
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       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                AAPL      AXP        BA       CAT     CSCO       CVX  \\\n",
       "Date                                                                   \n",
       "2017-11-15 +169.0800 +93.2600 +262.8600 +134.1000 +34.1100 +116.4500   \n",
       "2017-11-16 +171.1000 +93.5600 +263.7000 +136.3600 +35.8800 +114.5700   \n",
       "2017-11-17 +170.1500 +93.6900 +262.2600 +136.1300 +35.9000 +114.7100   \n",
       "2017-11-20 +169.9800 +93.9500 +264.6300 +136.9100 +36.5000 +114.7200   \n",
       "2017-11-21 +173.1400 +94.4100 +266.9900 +137.6000 +36.6500 +115.1700   \n",
       "\n",
       "                 DIS     DWDP       GE        GS   ...         NKE      PFE  \\\n",
       "Date                                               ...                        \n",
       "2017-11-15 +103.6900 +68.9700 +18.2600 +237.6100   ...    +56.6300 +35.3600   \n",
       "2017-11-16 +103.6000 +70.6800 +18.2500 +239.3700   ...    +57.2300 +35.5600   \n",
       "2017-11-17 +103.4400 +70.7400 +18.2100 +238.0200   ...    +59.1900 +35.3700   \n",
       "2017-11-20 +102.7500 +70.8500 +17.9800 +238.1300   ...    +59.2500 +35.3500   \n",
       "2017-11-21 +103.0000 +71.2600 +17.8300 +238.0200   ...    +59.3900 +35.5400   \n",
       "\n",
       "                 PG       TRV       UNH       UTX         V       VZ      WMT  \\\n",
       "Date                                                                            \n",
       "2017-11-15 +88.2300 +133.7100 +209.8600 +117.5700 +110.2500 +44.1100 +89.8300   \n",
       "2017-11-16 +89.2500 +130.8100 +211.1300 +117.8900 +111.0200 +44.7700 +99.6200   \n",
       "2017-11-17 +88.4300 +129.9200 +209.9000 +116.5300 +109.8200 +45.4200 +97.4700   \n",
       "2017-11-20 +88.2700 +129.7700 +210.2500 +116.3800 +109.9500 +46.2000 +97.4800   \n",
       "2017-11-21 +88.7200 +130.6300 +212.6000 +117.0400 +111.4500 +46.1800 +96.5200   \n",
       "\n",
       "                XOM  \n",
       "Date                 \n",
       "2017-11-15 +81.2100  \n",
       "2017-11-16 +80.5600  \n",
       "2017-11-17 +80.2400  \n",
       "2017-11-20 +80.5500  \n",
       "2017-11-21 +80.8700  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = collect(components)\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate daily cumulative returns\n",
    "\n",
    "Ignoring holidays, first calculate the daily percent return; add 1 to get the return ratio.\n",
    "Take the `log` of the ratios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
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       "      <th>2018-02-15</th>\n",
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       "      <td>+0.0331</td>\n",
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       "      <td>+0.0462</td>\n",
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       "      <td>+0.0147</td>\n",
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       "      <td>+0.0020</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>+0.0257</td>\n",
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       "      <td>+0.0046</td>\n",
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       "      <th>2018-02-16</th>\n",
       "      <td>-0.0032</td>\n",
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       "      <td>-0.0002</td>\n",
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       "      <td>+0.0001</td>\n",
       "      <td>+0.0153</td>\n",
       "      <td>+0.0023</td>\n",
       "      <td>+0.0020</td>\n",
       "      <td>+0.0147</td>\n",
       "      <td>-0.0057</td>\n",
       "      <td>-0.0035</td>\n",
       "      <td>+0.0082</td>\n",
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       "      <td>+0.0043</td>\n",
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       "      <th>2018-02-20</th>\n",
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       "      <td>-0.0047</td>\n",
       "      <td>-0.0061</td>\n",
       "      <td>-0.0104</td>\n",
       "      <td>-0.0052</td>\n",
       "      <td>-0.0046</td>\n",
       "      <td>-0.0208</td>\n",
       "      <td>-0.0103</td>\n",
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       "      <td>-0.0119</td>\n",
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       "      <td>+0.0013</td>\n",
       "      <td>-0.0248</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-21</th>\n",
       "      <td>-0.0045</td>\n",
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       "      <td>-0.0172</td>\n",
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       "      <td>-0.0093</td>\n",
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       "      <td>-0.0038</td>\n",
       "      <td>-0.0068</td>\n",
       "      <td>+0.0219</td>\n",
       "      <td>-0.0130</td>\n",
       "      <td>-0.0198</td>\n",
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       "      <th>2018-02-22</th>\n",
       "      <td>+0.0089</td>\n",
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       "      <td>-0.0086</td>\n",
       "      <td>+0.0076</td>\n",
       "      <td>+0.0018</td>\n",
       "      <td>+0.0136</td>\n",
       "      <td>+0.0089</td>\n",
       "      <td>-0.0075</td>\n",
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       "      <td>+0.0012</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>+0.0074</td>\n",
       "      <td>-0.0065</td>\n",
       "      <td>+0.0087</td>\n",
       "      <td>+0.0329</td>\n",
       "      <td>-0.0004</td>\n",
       "      <td>-0.0019</td>\n",
       "      <td>+0.0136</td>\n",
       "      <td>+0.0129</td>\n",
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       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL     AXP      BA     CAT    CSCO     CVX     DIS    DWDP  \\\n",
       "Date                                                                         \n",
       "2018-02-15 +0.0330 +0.0034 +0.0331 +0.0121 +0.0462 -0.0097 +0.0055 +0.0073   \n",
       "2018-02-16 -0.0032 +0.0024 -0.0040 -0.0233 +0.0057 -0.0035 +0.0128 +0.0014   \n",
       "2018-02-20 -0.0034 +0.0041 -0.0048 -0.0047 -0.0061 -0.0104 -0.0052 -0.0046   \n",
       "2018-02-21 -0.0045 +0.0032 -0.0028 -0.0021 -0.0172 -0.0175 -0.0088 -0.0093   \n",
       "2018-02-22 +0.0089 -0.0015 +0.0100 +0.0231 -0.0086 +0.0076 +0.0018 +0.0136   \n",
       "\n",
       "                GE      GS   ...       NKE     PFE      PG     TRV     UNH  \\\n",
       "Date                         ...                                             \n",
       "2018-02-15 -0.0034 +0.0192   ...   +0.0048 +0.0147 +0.0212 +0.0020 -0.0121   \n",
       "2018-02-16 +0.0134 -0.0002   ...   +0.0001 +0.0153 +0.0023 +0.0020 +0.0147   \n",
       "2018-02-20 -0.0208 -0.0103   ...   -0.0119 -0.0069 -0.0154 -0.0149 -0.0119   \n",
       "2018-02-21 -0.0171 -0.0056   ...   -0.0065 -0.0070 -0.0136 -0.0038 -0.0068   \n",
       "2018-02-22 +0.0089 -0.0075   ...   +0.0012 -0.0006 +0.0074 -0.0065 +0.0087   \n",
       "\n",
       "               UTX       V      VZ     WMT     XOM  \n",
       "Date                                                \n",
       "2018-02-15 +0.0257 +0.0119 +0.0046 +0.0149 -0.0033  \n",
       "2018-02-16 -0.0057 -0.0035 +0.0082 +0.0149 +0.0043  \n",
       "2018-02-20 -0.0219 +0.0013 -0.0248 -0.1074 -0.0104  \n",
       "2018-02-21 +0.0219 -0.0130 -0.0198 -0.0279 -0.0114  \n",
       "2018-02-22 +0.0329 -0.0004 -0.0019 +0.0136 +0.0129  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns = data.dropna(how='all').sort_index().pct_change()[1:].add(1)\n",
    "returns = returns.applymap(np.log)\n",
    "\n",
    "returns.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now calculate each day's cumulative sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
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       "      <th>PFE</th>\n",
       "      <th>PG</th>\n",
       "      <th>TRV</th>\n",
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       "      <th>VZ</th>\n",
       "      <th>WMT</th>\n",
       "      <th>XOM</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",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-15</th>\n",
       "      <td>+0.0229</td>\n",
       "      <td>+0.0348</td>\n",
       "      <td>+0.3046</td>\n",
       "      <td>+0.1765</td>\n",
       "      <td>+0.2564</td>\n",
       "      <td>-0.0342</td>\n",
       "      <td>+0.0143</td>\n",
       "      <td>+0.0409</td>\n",
       "      <td>-0.2067</td>\n",
       "      <td>+0.1192</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.1872</td>\n",
       "      <td>+0.0098</td>\n",
       "      <td>-0.0682</td>\n",
       "      <td>+0.0522</td>\n",
       "      <td>+0.0742</td>\n",
       "      <td>+0.1005</td>\n",
       "      <td>+0.1036</td>\n",
       "      <td>+0.1201</td>\n",
       "      <td>+0.1390</td>\n",
       "      <td>-0.0635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-16</th>\n",
       "      <td>+0.0196</td>\n",
       "      <td>+0.0372</td>\n",
       "      <td>+0.3006</td>\n",
       "      <td>+0.1531</td>\n",
       "      <td>+0.2621</td>\n",
       "      <td>-0.0377</td>\n",
       "      <td>+0.0270</td>\n",
       "      <td>+0.0423</td>\n",
       "      <td>-0.1933</td>\n",
       "      <td>+0.1189</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.1874</td>\n",
       "      <td>+0.0251</td>\n",
       "      <td>-0.0659</td>\n",
       "      <td>+0.0542</td>\n",
       "      <td>+0.0889</td>\n",
       "      <td>+0.0948</td>\n",
       "      <td>+0.1000</td>\n",
       "      <td>+0.1283</td>\n",
       "      <td>+0.1539</td>\n",
       "      <td>-0.0592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-20</th>\n",
       "      <td>+0.0163</td>\n",
       "      <td>+0.0413</td>\n",
       "      <td>+0.2958</td>\n",
       "      <td>+0.1484</td>\n",
       "      <td>+0.2560</td>\n",
       "      <td>-0.0481</td>\n",
       "      <td>+0.0218</td>\n",
       "      <td>+0.0377</td>\n",
       "      <td>-0.2141</td>\n",
       "      <td>+0.1087</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.1754</td>\n",
       "      <td>+0.0182</td>\n",
       "      <td>-0.0813</td>\n",
       "      <td>+0.0393</td>\n",
       "      <td>+0.0770</td>\n",
       "      <td>+0.0729</td>\n",
       "      <td>+0.1014</td>\n",
       "      <td>+0.1035</td>\n",
       "      <td>+0.0465</td>\n",
       "      <td>-0.0696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-21</th>\n",
       "      <td>+0.0117</td>\n",
       "      <td>+0.0445</td>\n",
       "      <td>+0.2931</td>\n",
       "      <td>+0.1463</td>\n",
       "      <td>+0.2388</td>\n",
       "      <td>-0.0656</td>\n",
       "      <td>+0.0130</td>\n",
       "      <td>+0.0284</td>\n",
       "      <td>-0.2313</td>\n",
       "      <td>+0.1030</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.1689</td>\n",
       "      <td>+0.0112</td>\n",
       "      <td>-0.0949</td>\n",
       "      <td>+0.0355</td>\n",
       "      <td>+0.0702</td>\n",
       "      <td>+0.0948</td>\n",
       "      <td>+0.0883</td>\n",
       "      <td>+0.0837</td>\n",
       "      <td>+0.0186</td>\n",
       "      <td>-0.0810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-22</th>\n",
       "      <td>+0.0206</td>\n",
       "      <td>+0.0429</td>\n",
       "      <td>+0.3031</td>\n",
       "      <td>+0.1694</td>\n",
       "      <td>+0.2302</td>\n",
       "      <td>-0.0580</td>\n",
       "      <td>+0.0148</td>\n",
       "      <td>+0.0420</td>\n",
       "      <td>-0.2223</td>\n",
       "      <td>+0.0955</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.1701</td>\n",
       "      <td>+0.0107</td>\n",
       "      <td>-0.0875</td>\n",
       "      <td>+0.0290</td>\n",
       "      <td>+0.0789</td>\n",
       "      <td>+0.1277</td>\n",
       "      <td>+0.0879</td>\n",
       "      <td>+0.0818</td>\n",
       "      <td>+0.0322</td>\n",
       "      <td>-0.0681</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL     AXP      BA     CAT    CSCO     CVX     DIS    DWDP  \\\n",
       "Date                                                                         \n",
       "2018-02-15 +0.0229 +0.0348 +0.3046 +0.1765 +0.2564 -0.0342 +0.0143 +0.0409   \n",
       "2018-02-16 +0.0196 +0.0372 +0.3006 +0.1531 +0.2621 -0.0377 +0.0270 +0.0423   \n",
       "2018-02-20 +0.0163 +0.0413 +0.2958 +0.1484 +0.2560 -0.0481 +0.0218 +0.0377   \n",
       "2018-02-21 +0.0117 +0.0445 +0.2931 +0.1463 +0.2388 -0.0656 +0.0130 +0.0284   \n",
       "2018-02-22 +0.0206 +0.0429 +0.3031 +0.1694 +0.2302 -0.0580 +0.0148 +0.0420   \n",
       "\n",
       "                GE      GS   ...       NKE     PFE      PG     TRV     UNH  \\\n",
       "Date                         ...                                             \n",
       "2018-02-15 -0.2067 +0.1192   ...   +0.1872 +0.0098 -0.0682 +0.0522 +0.0742   \n",
       "2018-02-16 -0.1933 +0.1189   ...   +0.1874 +0.0251 -0.0659 +0.0542 +0.0889   \n",
       "2018-02-20 -0.2141 +0.1087   ...   +0.1754 +0.0182 -0.0813 +0.0393 +0.0770   \n",
       "2018-02-21 -0.2313 +0.1030   ...   +0.1689 +0.0112 -0.0949 +0.0355 +0.0702   \n",
       "2018-02-22 -0.2223 +0.0955   ...   +0.1701 +0.0107 -0.0875 +0.0290 +0.0789   \n",
       "\n",
       "               UTX       V      VZ     WMT     XOM  \n",
       "Date                                                \n",
       "2018-02-15 +0.1005 +0.1036 +0.1201 +0.1390 -0.0635  \n",
       "2018-02-16 +0.0948 +0.1000 +0.1283 +0.1539 -0.0592  \n",
       "2018-02-20 +0.0729 +0.1014 +0.1035 +0.0465 -0.0696  \n",
       "2018-02-21 +0.0948 +0.0883 +0.0837 +0.0186 -0.0810  \n",
       "2018-02-22 +0.1277 +0.0879 +0.0818 +0.0322 -0.0681  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumret = returns.fillna(0).cumsum()\n",
    "\n",
    "cumret.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert the cumulative results into return ratios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>AAPL</th>\n",
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       "      <th>Date</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-15</th>\n",
       "      <td>+1.0231</td>\n",
       "      <td>+1.0354</td>\n",
       "      <td>+1.3561</td>\n",
       "      <td>+1.1930</td>\n",
       "      <td>+1.2923</td>\n",
       "      <td>+0.9663</td>\n",
       "      <td>+1.0144</td>\n",
       "      <td>+1.0418</td>\n",
       "      <td>+0.8133</td>\n",
       "      <td>+1.1266</td>\n",
       "      <td>...</td>\n",
       "      <td>+1.2059</td>\n",
       "      <td>+1.0099</td>\n",
       "      <td>+0.9340</td>\n",
       "      <td>+1.0536</td>\n",
       "      <td>+1.0770</td>\n",
       "      <td>+1.1057</td>\n",
       "      <td>+1.1091</td>\n",
       "      <td>+1.1276</td>\n",
       "      <td>+1.1492</td>\n",
       "      <td>+0.9384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-16</th>\n",
       "      <td>+1.0198</td>\n",
       "      <td>+1.0379</td>\n",
       "      <td>+1.3507</td>\n",
       "      <td>+1.1655</td>\n",
       "      <td>+1.2996</td>\n",
       "      <td>+0.9630</td>\n",
       "      <td>+1.0274</td>\n",
       "      <td>+1.0432</td>\n",
       "      <td>+0.8242</td>\n",
       "      <td>+1.1263</td>\n",
       "      <td>...</td>\n",
       "      <td>+1.2061</td>\n",
       "      <td>+1.0255</td>\n",
       "      <td>+0.9362</td>\n",
       "      <td>+1.0557</td>\n",
       "      <td>+1.0930</td>\n",
       "      <td>+1.0994</td>\n",
       "      <td>+1.1052</td>\n",
       "      <td>+1.1369</td>\n",
       "      <td>+1.1664</td>\n",
       "      <td>+0.9425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-20</th>\n",
       "      <td>+1.0164</td>\n",
       "      <td>+1.0421</td>\n",
       "      <td>+1.3443</td>\n",
       "      <td>+1.1600</td>\n",
       "      <td>+1.2917</td>\n",
       "      <td>+0.9530</td>\n",
       "      <td>+1.0221</td>\n",
       "      <td>+1.0384</td>\n",
       "      <td>+0.8072</td>\n",
       "      <td>+1.1148</td>\n",
       "      <td>...</td>\n",
       "      <td>+1.1918</td>\n",
       "      <td>+1.0184</td>\n",
       "      <td>+0.9219</td>\n",
       "      <td>+1.0401</td>\n",
       "      <td>+1.0801</td>\n",
       "      <td>+1.0756</td>\n",
       "      <td>+1.1067</td>\n",
       "      <td>+1.1090</td>\n",
       "      <td>+1.0476</td>\n",
       "      <td>+0.9328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-21</th>\n",
       "      <td>+1.0118</td>\n",
       "      <td>+1.0455</td>\n",
       "      <td>+1.3405</td>\n",
       "      <td>+1.1576</td>\n",
       "      <td>+1.2697</td>\n",
       "      <td>+0.9365</td>\n",
       "      <td>+1.0131</td>\n",
       "      <td>+1.0289</td>\n",
       "      <td>+0.7935</td>\n",
       "      <td>+1.1085</td>\n",
       "      <td>...</td>\n",
       "      <td>+1.1840</td>\n",
       "      <td>+1.0113</td>\n",
       "      <td>+0.9094</td>\n",
       "      <td>+1.0361</td>\n",
       "      <td>+1.0728</td>\n",
       "      <td>+1.0994</td>\n",
       "      <td>+1.0923</td>\n",
       "      <td>+1.0873</td>\n",
       "      <td>+1.0188</td>\n",
       "      <td>+0.9222</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-22</th>\n",
       "      <td>+1.0208</td>\n",
       "      <td>+1.0439</td>\n",
       "      <td>+1.3540</td>\n",
       "      <td>+1.1846</td>\n",
       "      <td>+1.2589</td>\n",
       "      <td>+0.9437</td>\n",
       "      <td>+1.0149</td>\n",
       "      <td>+1.0429</td>\n",
       "      <td>+0.8007</td>\n",
       "      <td>+1.1002</td>\n",
       "      <td>...</td>\n",
       "      <td>+1.1854</td>\n",
       "      <td>+1.0107</td>\n",
       "      <td>+0.9162</td>\n",
       "      <td>+1.0294</td>\n",
       "      <td>+1.0821</td>\n",
       "      <td>+1.1362</td>\n",
       "      <td>+1.0919</td>\n",
       "      <td>+1.0852</td>\n",
       "      <td>+1.0327</td>\n",
       "      <td>+0.9341</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL     AXP      BA     CAT    CSCO     CVX     DIS    DWDP  \\\n",
       "Date                                                                         \n",
       "2018-02-15 +1.0231 +1.0354 +1.3561 +1.1930 +1.2923 +0.9663 +1.0144 +1.0418   \n",
       "2018-02-16 +1.0198 +1.0379 +1.3507 +1.1655 +1.2996 +0.9630 +1.0274 +1.0432   \n",
       "2018-02-20 +1.0164 +1.0421 +1.3443 +1.1600 +1.2917 +0.9530 +1.0221 +1.0384   \n",
       "2018-02-21 +1.0118 +1.0455 +1.3405 +1.1576 +1.2697 +0.9365 +1.0131 +1.0289   \n",
       "2018-02-22 +1.0208 +1.0439 +1.3540 +1.1846 +1.2589 +0.9437 +1.0149 +1.0429   \n",
       "\n",
       "                GE      GS   ...       NKE     PFE      PG     TRV     UNH  \\\n",
       "Date                         ...                                             \n",
       "2018-02-15 +0.8133 +1.1266   ...   +1.2059 +1.0099 +0.9340 +1.0536 +1.0770   \n",
       "2018-02-16 +0.8242 +1.1263   ...   +1.2061 +1.0255 +0.9362 +1.0557 +1.0930   \n",
       "2018-02-20 +0.8072 +1.1148   ...   +1.1918 +1.0184 +0.9219 +1.0401 +1.0801   \n",
       "2018-02-21 +0.7935 +1.1085   ...   +1.1840 +1.0113 +0.9094 +1.0361 +1.0728   \n",
       "2018-02-22 +0.8007 +1.1002   ...   +1.1854 +1.0107 +0.9162 +1.0294 +1.0821   \n",
       "\n",
       "               UTX       V      VZ     WMT     XOM  \n",
       "Date                                                \n",
       "2018-02-15 +1.1057 +1.1091 +1.1276 +1.1492 +0.9384  \n",
       "2018-02-16 +1.0994 +1.1052 +1.1369 +1.1664 +0.9425  \n",
       "2018-02-20 +1.0756 +1.1067 +1.1090 +1.0476 +0.9328  \n",
       "2018-02-21 +1.0994 +1.0923 +1.0873 +1.0188 +0.9222  \n",
       "2018-02-22 +1.1362 +1.0919 +1.0852 +1.0327 +0.9341  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumret = cumret.applymap(np.exp)\n",
    "\n",
    "cumret.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Normalized these results so the latest cumulative return ratio is 1.\n",
    "Then subtract 1 to get cumulative returns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>AXP</th>\n",
       "      <th>BA</th>\n",
       "      <th>CAT</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CVX</th>\n",
       "      <th>DIS</th>\n",
       "      <th>DWDP</th>\n",
       "      <th>GE</th>\n",
       "      <th>GS</th>\n",
       "      <th>...</th>\n",
       "      <th>NKE</th>\n",
       "      <th>PFE</th>\n",
       "      <th>PG</th>\n",
       "      <th>TRV</th>\n",
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       "      <th>VZ</th>\n",
       "      <th>WMT</th>\n",
       "      <th>XOM</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",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-15</th>\n",
       "      <td>+0.0023</td>\n",
       "      <td>-0.0081</td>\n",
       "      <td>+0.0015</td>\n",
       "      <td>+0.0071</td>\n",
       "      <td>+0.0265</td>\n",
       "      <td>+0.0240</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0011</td>\n",
       "      <td>+0.0157</td>\n",
       "      <td>+0.0239</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.0173</td>\n",
       "      <td>-0.0008</td>\n",
       "      <td>+0.0194</td>\n",
       "      <td>+0.0235</td>\n",
       "      <td>-0.0047</td>\n",
       "      <td>-0.0268</td>\n",
       "      <td>+0.0158</td>\n",
       "      <td>+0.0391</td>\n",
       "      <td>+0.1128</td>\n",
       "      <td>+0.0046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-16</th>\n",
       "      <td>-0.0010</td>\n",
       "      <td>-0.0058</td>\n",
       "      <td>-0.0025</td>\n",
       "      <td>-0.0162</td>\n",
       "      <td>+0.0324</td>\n",
       "      <td>+0.0205</td>\n",
       "      <td>+0.0123</td>\n",
       "      <td>+0.0003</td>\n",
       "      <td>+0.0294</td>\n",
       "      <td>+0.0237</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.0174</td>\n",
       "      <td>+0.0145</td>\n",
       "      <td>+0.0218</td>\n",
       "      <td>+0.0256</td>\n",
       "      <td>+0.0100</td>\n",
       "      <td>-0.0323</td>\n",
       "      <td>+0.0122</td>\n",
       "      <td>+0.0476</td>\n",
       "      <td>+0.1295</td>\n",
       "      <td>+0.0090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-20</th>\n",
       "      <td>-0.0043</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>-0.0072</td>\n",
       "      <td>-0.0208</td>\n",
       "      <td>+0.0261</td>\n",
       "      <td>+0.0099</td>\n",
       "      <td>+0.0070</td>\n",
       "      <td>-0.0043</td>\n",
       "      <td>+0.0082</td>\n",
       "      <td>+0.0132</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.0054</td>\n",
       "      <td>+0.0076</td>\n",
       "      <td>+0.0062</td>\n",
       "      <td>+0.0104</td>\n",
       "      <td>-0.0019</td>\n",
       "      <td>-0.0533</td>\n",
       "      <td>+0.0135</td>\n",
       "      <td>+0.0219</td>\n",
       "      <td>+0.0144</td>\n",
       "      <td>-0.0015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-21</th>\n",
       "      <td>-0.0089</td>\n",
       "      <td>+0.0015</td>\n",
       "      <td>-0.0100</td>\n",
       "      <td>-0.0229</td>\n",
       "      <td>+0.0086</td>\n",
       "      <td>-0.0076</td>\n",
       "      <td>-0.0018</td>\n",
       "      <td>-0.0135</td>\n",
       "      <td>-0.0089</td>\n",
       "      <td>+0.0075</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0012</td>\n",
       "      <td>+0.0006</td>\n",
       "      <td>-0.0074</td>\n",
       "      <td>+0.0065</td>\n",
       "      <td>-0.0086</td>\n",
       "      <td>-0.0323</td>\n",
       "      <td>+0.0004</td>\n",
       "      <td>+0.0019</td>\n",
       "      <td>-0.0135</td>\n",
       "      <td>-0.0128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-22</th>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "      <td>+0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL     AXP      BA     CAT    CSCO     CVX     DIS    DWDP  \\\n",
       "Date                                                                         \n",
       "2018-02-15 +0.0023 -0.0081 +0.0015 +0.0071 +0.0265 +0.0240 -0.0006 -0.0011   \n",
       "2018-02-16 -0.0010 -0.0058 -0.0025 -0.0162 +0.0324 +0.0205 +0.0123 +0.0003   \n",
       "2018-02-20 -0.0043 -0.0016 -0.0072 -0.0208 +0.0261 +0.0099 +0.0070 -0.0043   \n",
       "2018-02-21 -0.0089 +0.0015 -0.0100 -0.0229 +0.0086 -0.0076 -0.0018 -0.0135   \n",
       "2018-02-22 +0.0000 +0.0000 +0.0000 +0.0000 +0.0000 +0.0000 +0.0000 +0.0000   \n",
       "\n",
       "                GE      GS   ...       NKE     PFE      PG     TRV     UNH  \\\n",
       "Date                         ...                                             \n",
       "2018-02-15 +0.0157 +0.0239   ...   +0.0173 -0.0008 +0.0194 +0.0235 -0.0047   \n",
       "2018-02-16 +0.0294 +0.0237   ...   +0.0174 +0.0145 +0.0218 +0.0256 +0.0100   \n",
       "2018-02-20 +0.0082 +0.0132   ...   +0.0054 +0.0076 +0.0062 +0.0104 -0.0019   \n",
       "2018-02-21 -0.0089 +0.0075   ...   -0.0012 +0.0006 -0.0074 +0.0065 -0.0086   \n",
       "2018-02-22 +0.0000 +0.0000   ...   +0.0000 +0.0000 +0.0000 +0.0000 +0.0000   \n",
       "\n",
       "               UTX       V      VZ     WMT     XOM  \n",
       "Date                                                \n",
       "2018-02-15 -0.0268 +0.0158 +0.0391 +0.1128 +0.0046  \n",
       "2018-02-16 -0.0323 +0.0122 +0.0476 +0.1295 +0.0090  \n",
       "2018-02-20 -0.0533 +0.0135 +0.0219 +0.0144 -0.0015  \n",
       "2018-02-21 -0.0323 +0.0004 +0.0019 -0.0135 -0.0128  \n",
       "2018-02-22 +0.0000 +0.0000 +0.0000 +0.0000 +0.0000  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumret = (cumret / cumret.tail(1).values[0,:]).add(-1)\n",
    "\n",
    "cumret.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot returns\n",
    "\n",
    "Plot returns with a label on each line as well as an off-chart legend.\n",
    "`tickers` is the list of tickers to be plotted.\n",
    "`cmap` is the colormap used to pick the colors of the lines.\n",
    "Colormaps are indexed from 0 to 1.\n",
    "`y0` is the first row in the dataframe - the initial values.\n",
    "`x0` is the first row time index.\n",
    "\n",
    "For each ticker: `ticker` is the cumulative returns and `l` is the ticker label.\n",
    "Set `use_index=True` in `plot()` to use the index as the x axis.\n",
    "Use `text()` to label each line along the y axis.\n",
    "\n",
    "Tickers are sorted by performance over the whole period: green for better performance and red for lower performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4cSPTsWpCAtaff0b//PNO6ZSQF+iaNYPEROx79rg6FCGcLmncOBxnzmD68ksU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C1MGD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ezWlPT7r171+0XaFQUGXDBvxcXQlo3/6NNrRKl8bA1ZVyI0cWEVt9Z+fXJsP4J0GhVGJUsyZG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r/KoCNBXHVtFaNfRZf5W314+TIn16nDQICTatXi4ZlTuLy+J9eIi6PGxhKu6PEV4268n6Kx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\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BnkgPraxafXVf/6EYfEj1+28o1rbWDDkWwgWrFxAVwX4T+lGtVlNPT48RERHs1KkT8/Pz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\n8vYI04WJvuq+QpmkFCQhWqW1Esc0x56rjYvSRYmKKRWFNEkqZmfOFuu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2PBN2TsDB0oGJ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vNuDpgPkEnOf8Jy5ChR8q3xWzbZbaKOos5z33ucNY75xvnMNcwlXoynmrwaq21W017ZPl9zNL8q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\nhEwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1076568d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plotcumret(cumret=cumret):\n",
    "    tickers = len(cumret.columns.values)\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(10, 10))\n",
    "    cmap = LinearSegmentedColormap('red-green', {\n",
    "        'red':   ((0.0, 0.0, 0.0),\n",
    "                  (0.5, 0.0, 0.0),\n",
    "                  (1.0, 1.0, 1.0)),\n",
    "        'blue':  ((0.0, 0.0, 0.0),\n",
    "                  (1.0, 0.0, 0.0)),\n",
    "        'green': ((0.0, 0.0, 1.0),\n",
    "                  (0.5, 0.0, 0.0),\n",
    "                  (1.0, 0.0, 0.0))\n",
    "    })\n",
    "    y0 = cumret.head(1).values[0]\n",
    "    x0 = cumret.index[1]\n",
    "    i = 0\n",
    "    for idx in sorted(range(len(y0)), key=lambda k: y0[k]):\n",
    "        ticker = cumret.columns.values[idx]\n",
    "        l = cumret.columns[idx]\n",
    "        ax = cumret.plot(ax=ax, kind='line', y=ticker, c=cmap(i/tickers), label=l, use_index=True)\n",
    "        ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y))) \n",
    "        if y0[idx] == y0[idx]:\n",
    "            plt.text(x0, y0[idx], l)\n",
    "        i = i + 1\n",
    "        \n",
    "\n",
    "    ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "    plt.show()\n",
    "    plt.close('all')\n",
    "plotcumret()"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}