Nse Nifty Historical Data May 2026

Then he saw it: a pattern no news anchor discussed. Every major crash—2000, 2008, 2020—was followed by a recovery that broke the previous all-time high within 18 to 36 months. The drawdowns were terrifying. But the long-term slope was relentless: roughly 14% compounded annually.

Arjun stopped checking his portfolio every hour. He automated a small monthly SIP into a Nifty ETF and deleted the trading app. nse nifty historical data

Five years later, he opened the laptop again. His investment had tripled. The news was full of "record highs" and "overvalued warnings." But the historical data smiled back at him: Same panic, different date. Then he saw it: a pattern no news anchor discussed

He downloaded the full historical dataset—every single trading day from its 1995 base value of 1,000 points to the present. 25 years of data. 6,000-odd rows of open, high, low, close. But the long-term slope was relentless: roughly 14%

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?

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.

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: "The market is a device for transferring money from the impatient to the patient. The data has always said so." That chart never lied. And Arjun finally understood: history doesn’t repeat, but it often rhymes. In the Nifty’s long march upward, each crash was not a disaster—but a chapter.