If you are backtesting a trading strategy, analyzing market trends, or building a financial model, you need clean, reliable historical data. The Nifty 50 is India’s benchmark index, and fortunately, you can get decades of history for free via Yahoo Finance.
import yfinance as yf import pandas as pd nifty = yf.download("^NSEI", start="2000-01-01", end="2024-12-31") Save to CSV nifty.to_csv("nifty_50_historical_data.csv")
You can schedule this script to run daily, ensuring you never have to manually export data again. Understanding the CSV Columns Once you open the file, here is what you are looking at:
Yahoo Finance Nifty 50 Historical Data Csv May 2026
If you are backtesting a trading strategy, analyzing market trends, or building a financial model, you need clean, reliable historical data. The Nifty 50 is India’s benchmark index, and fortunately, you can get decades of history for free via Yahoo Finance.
import yfinance as yf import pandas as pd nifty = yf.download("^NSEI", start="2000-01-01", end="2024-12-31") Save to CSV nifty.to_csv("nifty_50_historical_data.csv") yahoo finance nifty 50 historical data csv
You can schedule this script to run daily, ensuring you never have to manually export data again. Understanding the CSV Columns Once you open the file, here is what you are looking at: If you are backtesting a trading strategy, analyzing
