{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 0: Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Download stock data from Yahoo Finance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 downloaded\n"
     ]
    },
    {
     "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-09-16</th>\n",
       "      <td>1229.52</td>\n",
       "      <td>1239.56</td>\n",
       "      <td>1225.61</td>\n",
       "      <td>1231.30</td>\n",
       "      <td>1231.30</td>\n",
       "      <td>1053300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-17</th>\n",
       "      <td>1230.40</td>\n",
       "      <td>1235.00</td>\n",
       "      <td>1223.69</td>\n",
       "      <td>1229.15</td>\n",
       "      <td>1229.15</td>\n",
       "      <td>955100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-18</th>\n",
       "      <td>1227.51</td>\n",
       "      <td>1235.61</td>\n",
       "      <td>1216.53</td>\n",
       "      <td>1232.41</td>\n",
       "      <td>1232.41</td>\n",
       "      <td>1135100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-19</th>\n",
       "      <td>1232.06</td>\n",
       "      <td>1244.44</td>\n",
       "      <td>1232.02</td>\n",
       "      <td>1238.71</td>\n",
       "      <td>1238.71</td>\n",
       "      <td>996000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-20</th>\n",
       "      <td>1233.12</td>\n",
       "      <td>1243.32</td>\n",
       "      <td>1223.08</td>\n",
       "      <td>1229.93</td>\n",
       "      <td>1229.93</td>\n",
       "      <td>2270000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close  Adj Close   Volume\n",
       "Date                                                              \n",
       "2019-09-16  1229.52  1239.56  1225.61  1231.30    1231.30  1053300\n",
       "2019-09-17  1230.40  1235.00  1223.69  1229.15    1229.15   955100\n",
       "2019-09-18  1227.51  1235.61  1216.53  1232.41    1232.41  1135100\n",
       "2019-09-19  1232.06  1244.44  1232.02  1238.71    1238.71   996000\n",
       "2019-09-20  1233.12  1243.32  1223.08  1229.93    1229.93  2270000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock = yf.download(\"GOOG\", \"2019-09-15\", \"2019-09-25\")\n",
    "stock.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2: Save the data as csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "stock.to_csv(\"stock.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 3: Visualize the trend of the stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (10, 5))\n",
    "plt.plot(stock[\"Open\"], color = \"red\")\n",
    "plt.title(\"Google open price\")\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (10, 5))\n",
    "plt.plot(stock[\"Open\"], color = \"red\")\n",
    "plt.plot(stock[\"Close\"], color = \"green\")\n",
    "plt.title(\"Google open price\")\n",
    "plt.legend()\n",
    "plt.show();"
   ]
  },
  {
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}