He printed one chart—the full 30-year log scale of Nifty from 1,000 to 25,000. On the wall of his home office, he wrote beneath it:
print(nifty_data.head())
At first, it was just numbers. Then he started graphing it. nse nifty historical data
Arjun had always dismissed the stock market as sophisticated gambling. But when the pandemic lockdowns emptied the streets of Mumbai in 2020, boredom drove him to open a demat account. He wasn’t a trader; he was a historian by training, now working a lifeless IT job. One night, staring at a chaotic Excel sheet of Nifty 50 closing prices, he had an idea: What if I treat the market like a living archive?
: Includes index values and order/trade level info. He printed one chart—the full 30-year log scale
: Use the get_history() function via libraries like NSEpy to extract data (Symbol, Start/End date, Index type).
This is the most reliable source for clean, adjusted data. It is free but requires manual effort if you need decades of data. Arjun had always dismissed the stock market as
If you do not want to write code and need data in bulk immediately (e.g., Tick-by-Tick data or Options chain history), third-party sites are best.