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@tuffacton
Created November 15, 2020 20:24
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Stock Comparison
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Stock Comparison",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyOxOemA6ted6meN9NYn9Kpz",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/tuffacton/a2c84cfed84db1b1bcde1e0e3b57ce72/stock-comparison.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "G6Qcsv3tthEw"
},
"source": [
"https://towardsdatascience.com/an-even-easier-guide-to-getting-stock-data-with-python-1a109df6b593"
]
},
{
"cell_type": "code",
"metadata": {
"id": "v4L8JOhbtdXd",
"outputId": "605baeee-85f0-4f03-fd7e-258937ddf0f1",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 282
}
},
"source": [
"from pandas_datareader import data as web\n",
"import datetime\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"%config InlineBackend.print_figure_kwargs = {}\n",
"\n",
"\n",
"# What starting year up to 2020?\n",
"year = 2003\n",
"\n",
"# First Stock Info\n",
"stock = 'NFLX'\n",
"name = 'Netflix'\n",
"\n",
"## Don't Touch\n",
"start_date = (datetime.datetime.now() - datetime.timedelta(days=(365*(2020-year)))).strftime(\"%m-%d-%Y\")\n",
"df = web.DataReader(stock, data_source='yahoo', start=start_date)\n",
"\n",
"# Second Stock Info\n",
"stock2 = 'AMZN'\n",
"name2 = \"Amazon\"\n",
"\n",
"## Don't Touch\n",
"start_date = (datetime.datetime.now() - datetime.timedelta(days=(365*(2020-year)))).strftime(\"%m-%d-%Y\")\n",
"df2 = web.DataReader(stock2, data_source='yahoo', start=start_date)\n",
"\n",
"plt.yscale(\"log\")\n",
"plt.plot(df['Close'], label=name)\n",
"plt.plot(df2['Close'], label=name2)\n",
"plt.ylabel(\"Stock Price ($)\")\n",
"plt.ylabel(\"Year\")\n",
"plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)"
],
"execution_count": 13,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f4071b92f28>"
]
},
"metadata": {
"tags": []
},
"execution_count": 13
},
{
"output_type": "display_data",
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Wxt_YOoni36C"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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