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Download historical data for all NSE Stocks in Python

Using Python we can download historical data for all NSE stocks for Indian Stock Market. Below are the steps.

1. First download the csv file containing all NSE stock codes. Go to :

https://www.nseindia.com/market-data/securities-available-for-trading and click on 

Securities available for Equity segment (.csv) to download the file. We use this file to read stock codes to read historical data for them.

2. Install the yfinance package using following command

pip install yfinance 

3. Below is the code to read all NSE stock historical data:


import yfinance as yf

import pandas as pd

import os


NSE_all_stock_codes = pd.read_csv(f'./NSE_Stock_Codes/EQUITY_ALL.csv')

print(NSE_all_stock_codes.SYMBOL)


for file in os.scandir(f'Historical_Data_All/'):

    if file.name.endswith(".csv"):

        os.unlink(file.path)


for nse_symbol in NSE_all_stock_codes.SYMBOL:

    try:

        nse_symbol_data = yf.download(f'{nse_symbol}.NS', period="1mo")

        df = pd.DataFrame(nse_symbol_data)

        print(nse_symbol)

        df['Stock_Symbol'] = nse_symbol

        # print(df)

        df.to_csv(f'./Historical_Data_All/{nse_symbol}.csv')

    except Exception as e:

        print(f'{nse_symbol} => {e}')

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Location: Pune, Maharashtra, India

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