suminb/boeing.ipynb

## boeing.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from finance.readers import read_asset_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "end = datetime.now()\n",
    "start = datetime(end.year - 10, end.month, end.day)\n",
    "data = read_asset_values('BA', 'yahoo', start, end)"
   ]
  },
  {
   "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></th>\n",
       "      <th>asset_id</th>\n",
       "      <th>evaluated_at</th>\n",
       "      <th>fetched_at</th>\n",
       "      <th>provider</th>\n",
       "      <th>granularity</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>adj_close</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2009-09-22</td>\n",
       "      <td>2019-09-23 23:43:03.350570</td>\n",
       "      <td>yahoo</td>\n",
       "      <td>1day</td>\n",
       "      <td>52.959999</td>\n",
       "      <td>53.139999</td>\n",
       "      <td>53.310001</td>\n",
       "      <td>52.130001</td>\n",
       "      <td>41.213932</td>\n",
       "      <td>3898300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2009-09-23</td>\n",
       "      <td>2019-09-23 23:43:03.350570</td>\n",
       "      <td>yahoo</td>\n",
       "      <td>1day</td>\n",
       "      <td>53.349998</td>\n",
       "      <td>52.369998</td>\n",
       "      <td>53.400001</td>\n",
       "      <td>52.259998</td>\n",
       "      <td>40.616725</td>\n",
       "      <td>4609100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2009-09-24</td>\n",
       "      <td>2019-09-23 23:43:03.350570</td>\n",
       "      <td>yahoo</td>\n",
       "      <td>1day</td>\n",
       "      <td>52.229999</td>\n",
       "      <td>51.790000</td>\n",
       "      <td>52.520000</td>\n",
       "      <td>51.520000</td>\n",
       "      <td>40.166904</td>\n",
       "      <td>5351900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2009-09-25</td>\n",
       "      <td>2019-09-23 23:43:03.350570</td>\n",
       "      <td>yahoo</td>\n",
       "      <td>1day</td>\n",
       "      <td>51.860000</td>\n",
       "      <td>51.520000</td>\n",
       "      <td>52.400001</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>39.957496</td>\n",
       "      <td>3638600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2009-09-28</td>\n",
       "      <td>2019-09-23 23:43:03.350570</td>\n",
       "      <td>yahoo</td>\n",
       "      <td>1day</td>\n",
       "      <td>51.819999</td>\n",
       "      <td>53.069999</td>\n",
       "      <td>53.340000</td>\n",
       "      <td>51.759998</td>\n",
       "      <td>41.159633</td>\n",
       "      <td>4921900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   asset_id evaluated_at                 fetched_at provider granularity  \\\n",
       "0         0   2009-09-22 2019-09-23 23:43:03.350570    yahoo        1day   \n",
       "1         0   2009-09-23 2019-09-23 23:43:03.350570    yahoo        1day   \n",
       "2         0   2009-09-24 2019-09-23 23:43:03.350570    yahoo        1day   \n",
       "3         0   2009-09-25 2019-09-23 23:43:03.350570    yahoo        1day   \n",
       "4         0   2009-09-28 2019-09-23 23:43:03.350570    yahoo        1day   \n",
       "\n",
       "        open      close       high        low  adj_close   volume  \n",
       "0  52.959999  53.139999  53.310001  52.130001  41.213932  3898300  \n",
       "1  53.349998  52.369998  53.400001  52.259998  40.616725  4609100  \n",
       "2  52.229999  51.790000  52.520000  51.520000  40.166904  5351900  \n",
       "3  51.860000  51.520000  52.400001  51.299999  39.957496  3638600  \n",
       "4  51.819999  53.069999  53.340000  51.759998  41.159633  4921900  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x1174ade10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://www.chicagotribune.com/business/ct-biz-viz-boeing-737-max-crash-timeline-04022019-story.html\n",
    "accident_dates = [\n",
    "    '2018-10-29',\n",
    "    '2019-03-10',\n",
    "]\n",
    "news_dates = [\n",
    "    '2018-11-28',\n",
    "    '2019-03-12',\n",
    "    '2019-03-19',\n",
    "    '2019-03-20',\n",
    "    '2019-03-22',\n",
    "    '2019-03-27',\n",
    "    '2019-03-29',\n",
    "    '2019-04-01',\n",
    "    '2019-04-04',\n",
    "    '2019-04-10',\n",
    "    '2019-04-11',\n",
    "    '2019-04-15',\n",
    "    '2019-04-29',\n",
    "    '2019-06-19',\n",
    "    '2019-07-03',\n",
    "    '2019-07-24',\n",
    "]\n",
    "\n",
    "filtered = data[data['evaluated_at'] >= '2018-09-01']\n",
    "plt.figure(figsize=(16, 4))\n",
    "plt.plot(filtered['evaluated_at'], filtered['adj_close'])\n",
    "\n",
    "for date in accident_dates:\n",
    "    plt.axvline(date, color='#ff3300', linewidth=0.6)\n",
    "for date in news_dates:\n",
    "    plt.axvline(date, color='#ffcc00', linewidth=0.6)\n",
    "    \n",
    "# Grounded\n",
    "plt.axvline('2019-03-13', color='#0033cc', linewidth=0.6)"
   ]
  },
  {
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}