The Nifty Experiment

I built a trading bot that executes simulated trades on the NSE with fake money, and on 12 October 2026 it made no trades, resulting in a gross profit and loss of ₹0.00. How the market moved The Nifty index fell by 0.97% on the same day, measured over the same time window but differently from the bot's balance-based calculation. The trades The bot did not open any positions today. Although it screened 100 stocks and passed 38 through the initial filters, none were rated strong enough by the AI model to trigger a trade under the current rules. See dashboard for details : https://niftyexperiment.com How the bot behaved The AI model read headlines for the top 10 candidates but rated none as strong. The bot's rules allowed a maximum of three positions per day and restrict holding at most one strong stock per sector, a rule already in force since 12 October 2026. No trades were accepted or rejected today, and no stop-losses or targets were hit. One candidate lacked headlines, ...

I built an AI-powered trading bot that makes simulated trades in individual stocks on India's National Stock Exchange (NSE) with fake money, and after each trading day I publish what it did: the picks, the stop-losses and the profit or loss, win or lose. It trades company shares, not index derivatives. This is The Nifty Experiment, and this is how it works. What the bot does all day The bot wakes up shortly after the market opens and works through the same routine every day. Scan. It looks across the biggest companies on the NSE and picks out the stocks that are rising on unusually strong trading activity. Read. It gathers the latest news about those stocks. An AI model reads the headlines and asks one question: is there a real, recent reason this company is in the news? Decide. A fixed set of rules, written in code, decides what, if anything, gets bought. Position sizes are small and every trade has a pre-set exit. Trade. Every trade has a stop-loss, which is the pri...