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:
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print(nifty[['Adj Close', 'volatility']].tail()) yahoo finance nifty historical data
import pandas as pd import numpy as np nifty = yf.download('^NSEI', period='1y') nifty['returns'] = nifty['Adj Close'].pct_change() nifty['volatility'] = nifty['returns'].rolling(30).std() * np.sqrt(252) This method gives you – though note: volume
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. yahoo finance nifty historical data