Bitcoin max drawdown.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "\n",
    "import pylab\n",
    "\n",
    "%matplotlib inline\n",
    "pylab.rcParams['figure.figsize'] = (14, 6)\n",
    "matplotlib.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "price = pd.read_csv('data/coindesk-bpi-USD-ohlc_data-2010-07-17_2017-09-11.csv', index_col='Date')\n",
    "\n",
    "# To eliminate the last 2 rows, that say\n",
    "# This data was produced from the CoinDesk price page.        NaN\n",
    "# http://www.coindesk.com/price/                              NaN\n",
    "\n",
    "price = price.iloc[:-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-07-18 00:00:00</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-19 00:00:00</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-20 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-21 00:00:00</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-22 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Open  High   Low  Close\n",
       "Date                                        \n",
       "2010-07-18 00:00:00  0.05  0.09  0.06   0.09\n",
       "2010-07-19 00:00:00  0.09  0.09  0.08   0.08\n",
       "2010-07-20 00:00:00  0.08  0.08  0.07   0.07\n",
       "2010-07-21 00:00:00  0.07  0.08  0.07   0.08\n",
       "2010-07-22 00:00:00  0.08  0.08  0.05   0.05"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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IIYQQ56VpGqeOHMWghmM2xhITNgpLlC3UYfU6SciEEEIIIYQQvUrTNG5/tZA5bbUMiZoP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\nbu26w2/aZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5259c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "price.plot(logy=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Highest to date</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-07-18 00:00:00</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-19 00:00:00</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-20 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-21 00:00:00</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-22 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Open  High   Low  Close  Highest to date\n",
       "Date                                                         \n",
       "2010-07-18 00:00:00  0.05  0.09  0.06   0.09             0.09\n",
       "2010-07-19 00:00:00  0.09  0.09  0.08   0.08             0.09\n",
       "2010-07-20 00:00:00  0.08  0.08  0.07   0.07             0.09\n",
       "2010-07-21 00:00:00  0.07  0.08  0.07   0.08             0.09\n",
       "2010-07-22 00:00:00  0.08  0.08  0.05   0.05             0.09"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price['Highest to date'] = np.array([(price.iloc[:i+1]['High']).max() for i in range(len(price))])\n",
    "# price.iloc[0]['Highest to date'] = price.iloc[0]['High']\n",
    "price.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Highest to date</th>\n",
       "      <th>Drawdown</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-07-18 00:00:00</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-19 00:00:00</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.09</td>\n",
       "      <td>11.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-20 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.09</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-21 00:00:00</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.09</td>\n",
       "      <td>11.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-22 00:00:00</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Open  High   Low  Close  Highest to date   Drawdown\n",
       "Date                                                                    \n",
       "2010-07-18 00:00:00  0.05  0.09  0.06   0.09             0.09  -0.000000\n",
       "2010-07-19 00:00:00  0.09  0.09  0.08   0.08             0.09  11.111111\n",
       "2010-07-20 00:00:00  0.08  0.08  0.07   0.07             0.09  22.222222\n",
       "2010-07-21 00:00:00  0.07  0.08  0.07   0.08             0.09  11.111111\n",
       "2010-07-22 00:00:00  0.08  0.08  0.05   0.05             0.09  44.444444"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price['Drawdown'] = - ((price['Close'] - price['Highest to date']) / price['Highest to date']) * 100\n",
    "price.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Sgm+//Rbnzp1DZmYm0tLSMGbMGJtlV8S9VPi+Xbx4cbHbSJKEzMxM8+/Dhw+Hq6sr1q9f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\nQMESIYQQQgghhCRAwRIhhBBCCCGEJPB/59G11KsB8ZMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7e4d358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax0, ax1) = plt.subplots(2, 1, sharex=True, gridspec_kw = {'height_ratios':[2, 1]}, figsize=(14, 8))\n",
    "\n",
    "ax0.plot(pd.to_datetime(price.index), price.Close, color='b')\n",
    "ax1.fill_between(pd.to_datetime(price.index), 0, price.Drawdown, facecolor='#c10000')\n",
    "\n",
    "ax0.grid(True)\n",
    "ax0.set_yscale('log')\n",
    "ax0.set_ylabel('Price (USD)')\n",
    "ax0.set_ylim(price.Close.min(), price.Close.max())\n",
    "\n",
    "ax1.grid(True)\n",
    "ax1.set_ylabel('Drawdown (%)')\n",
    "\n",
    "fig.suptitle('Bitcoin price and drawdown evolution', fontsize=20) # To set the main title and its size\n",
    "\n",
    "fig.subplots_adjust(wspace=0, hspace=0.05) # To modify the space between subplots\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Jyclat26dDMPQiBEjNGjQIBUXF2vq1KlyOByaPHmyJGnnzp3asmWLevbsqXvu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\nIiIiIl76H1+Odala2UrJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ef3390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(price.Drawdown.iloc[:], bins=np.arange(0, 101, 5), normed=True)\n",
    "plt.title('Drawdown distribution', fontsize=20)\n",
    "plt.xlabel('Drawdown')\n",
    "plt.ylabel('Relative Frequency')\n",
    "plt.xticks(np.arange(0, 100, 10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CwkIVFRWpvLxcmzZtUv/+/Z2OOXnypMrLyyVJa9as0XnnnafIyEh/hQgAAIAA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\niIiIiFtTKRIREREREbf2//ySIdkSneePAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fad5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(price.Drawdown, bins=np.arange(0, 100, 0.5), normed=True, cumulative=True)\n",
    "plt.title('Cumulative drawdown distribution', fontsize=20)\n",
    "plt.xlabel('Drawdown')\n",
    "plt.ylabel('Relative Frequency')\n",
    "plt.xticks(np.arange(0, 100, 10))\n",
    "plt.yticks(np.arange(0, 1.0001, 0.1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[nan,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.089999999999999997,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
       " 0.17000000000000001,\n",
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       " 31.91,\n",
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       " 31.91,\n",
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       " 31.91,\n",
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       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 31.91,\n",
       " 34.520000000000003,\n",
       " 34.899999999999999,\n",
       " 34.899999999999999,\n",
       " 34.899999999999999,\n",
       " 36.700000000000003,\n",
       " 40.649999999999999,\n",
       " 49.100000000000001,\n",
       " 49.100000000000001,\n",
       " 49.100000000000001,\n",
       " 49.100000000000001,\n",
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       " 49.100000000000001,\n",
       " 49.100000000000001,\n",
       " 49.100000000000001,\n",
       " 52.869999999999997,\n",
       " 62.0,\n",
       " 66.0,\n",
       " 74.900000000000006,\n",
       " 74.900000000000006,\n",
       " 74.900000000000006,\n",
       " 74.900000000000006,\n",
       " 78.0,\n",
       " 79.719999999999999,\n",
       " 89.5,\n",
       " 95.700000000000003,\n",
       " 95.700000000000003,\n",
       " 95.700000000000003,\n",
       " 95.700000000000003,\n",
       " 106.0,\n",
       " 118.36,\n",
       " 147.0,\n",
       " 147.0,\n",
       " 147.0,\n",
       " 147.0,\n",
       " 164.90000000000001,\n",
       " 194.90000000000001,\n",
       " 240.11000000000001,\n",
       " 266.0,\n",
       " 266.0,\n",
       " ...]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(price.iloc[:i]['High']).max() for i in range(len(price))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 loop, best of 3: 1.47 s per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "for i, date in enumerate(price.index):\n",
    "    highs = price.iloc[:i]['High']\n",
    "    highest = highs.max()\n",
    "#     print(date, highs.max())\n",
    "    "
   ]
  }
 ],
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