Downloading historical stock prices in Python

Downloading historical stock prices in Python

We will be looking at a quick and automated way to download the historical stock prices in Python. This article will cover creating the analytical dataset to aid in analyzing the stock market.

Open up a notebook and follow along:

Step 1: Download the required packages.

What we need is pandas (the bread and butter for data science in python), _yfinance _for downloading the historical stock prices from yahoo finance, _datetime _and _time _which provides functions to manipulate dates and times, _requests _for sending HTTP requests and _io _for handling strings.

import pandas as pd
import yfinance as yf
import datetime
import time
import requests
import io

Step 2: Set the date range

Next, we want to provide the start and end dates, during which period we want the daily stock prices. Below, I have provided the start date as 1st February 2020 (approximate beginning of this year’s misery) and end date as 11th October 2020, the current date when I executed this code. You could set the start and end date to anything you like- but what I am trying to analyze is the price fluctuation from pre-pandemic times till now.

start = datetime.datetime(2020,2,1)
end = datetime.datetime(2020,10,11)

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.