While platforms like Bloomberg Terminal and Reuters are gold standards, they come with a hefty price tag. Enter – a surprisingly powerful, free, and widely accessible source for Nifty historical data.
print(nifty[['Adj Close', 'volatility']].tail()) yahoo finance nifty historical data
import yfinance as yf nifty = yf.download('^NSEI', start='2010-01-01', end='2023-12-31') View the first 5 rows print(nifty.head()) Save to CSV nifty.to_csv('nifty_historical.csv') While platforms like Bloomberg Terminal and Reuters are
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This method gives you – though note: volume for an index is usually the total traded volume of its constituents. Decoding the Columns: What You're Actually Getting When you download the data, you'll see six columns. Here's what they mean for Nifty: Decoding the Columns: What You're Actually Getting When
Download ^NSEI data from 1995 to today. Plot the log-scale chart. You'll see India's growth story in a single graph – and you didn't pay a rupee for it. Disclaimer: This article is for educational purposes. Always verify critical data from official sources before making investment decisions.