Python Program to fetch historical Stock Data from NSE

To fetch historical data from NSE using python we need two libraries nsepy and nsetools.End date is set as current date and start date is set to a value for the period that is decided to fetch the historical data. Here we fetch the historical data for a period of 365 days. In the next program we will use this data to evaluate technical indicator values.

import os

os.system('pip install nsepy')

os.system('pip install nsetools')

import pandas as pd

from nsepy import get_history as gh

import dateutil.relativedelta as dr

import math

from nsepy.live import get_holidays_list

from datetime import date, timedelta

from nsetools import Nse

nse = Nse()

all_stock_codes = nse.get_stock_codes()

symbols = all_stock_codes.keys()

dt_today = date.today()

series = "EQ"

for data_symbol in symbols:

    tradingSymbol = data_symbol

    endDate = dt_today

    startDate = endDate - dr.relativedelta(days=365)

    series = "EQ"

    stockData_EQ = pd.DataFrame()

    stockData_EQ = gh(symbol=tradingSymbol, start=startDate, end=endDate,index=False, futures=False, option_type="",

                expiry_date=None, strike_price="",series='EQ')

    print(stockData_EQ)

program can be downloaded from GitHub