{ "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": [ "
| \n", " | Open | \n", "High | \n", "Low | \n", "Close | \n", "Adj Close | \n", "Volume | \n", "
|---|---|---|---|---|---|---|
| Date | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
| 2019-09-16 | \n", "1229.52 | \n", "1239.56 | \n", "1225.61 | \n", "1231.30 | \n", "1231.30 | \n", "1053300 | \n", "
| 2019-09-17 | \n", "1230.40 | \n", "1235.00 | \n", "1223.69 | \n", "1229.15 | \n", "1229.15 | \n", "955100 | \n", "
| 2019-09-18 | \n", "1227.51 | \n", "1235.61 | \n", "1216.53 | \n", "1232.41 | \n", "1232.41 | \n", "1135100 | \n", "
| 2019-09-19 | \n", "1232.06 | \n", "1244.44 | \n", "1232.02 | \n", "1238.71 | \n", "1238.71 | \n", "996000 | \n", "
| 2019-09-20 | \n", "1233.12 | \n", "1243.32 | \n", "1223.08 | \n", "1229.93 | \n", "1229.93 | \n", "2270000 | \n", "