Python Odds Distribution Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter stock name or index symbol as per on Yahoo Finance website: TCS.NS\n",
      "Enter start date: 2011-01-01\n",
      "Enter end date: 2021-01-01\n",
      "Enter the time interval: 1m\n",
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "# Get the data for the NSE by specifying the stock ticker, start date, and end date\n",
    "stock = input('Enter stock name or index symbol as per on Yahoo Finance website: ')\n",
    "start_date = input('Enter start date in format YY-MM-DD: ')\n",
    "end_date = input('Enter end date in format YY-MM-DD: ')\n",
    "interval = input(\"Enter the time interval: \")\n",
    "data = yf.download(str(stock),str(start_date),str(end_date),str(interval))\n",
    "x = ((data['Close'] - data['Open'])/data['Open']).round(3)\n",
    "x = x.hist()\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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}