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:
: Contract-wise price and volume archives. Currency & Commodity Derivatives .
# Define dates start_date = "01-01-2020" end_date = "31-12-2023" symbol = "NIFTY 50" nse nifty historical data
If you are a data analyst, trader, or developer, using Python is the standard industry practice. You can pull decades of data in seconds.
: Includes index values and order/trade level info. He printed one chart—the full 30-year log scale
The index has a base date of November 3, 1995, with a base value of 1,000.
He kept digging.
Since its launch on April 22, 1996, the Nifty 50 has evolved from a nascent index to a global benchmark.
print(data.head())
The 2008 line looked like a cliff. He zoomed in. October 24, 2008: Nifty crashed 11% in a single day. Arjun remembered that day. He was in college, watching news channels show Lehman Brothers employees walking out with cardboard boxes. His father had almost sold everything in panic. The data whispered: Those who sold at the bottom missed the next 500% rise.