Flash Finance research on Indian stocks

Quantitative research built on the same NSE and BSE data that powers the rest of the site: strategy backtests with their drawdowns, seasonality with walk-forward testing, and live tracking of how announcements and deals actually played out. Each study states its method and its limits, including the results that did not work.

Original studies

What happens after NSE stocks hit a 52-week high or cross the 200-day averageForward returns after 52-week highs/lows and 200-DMA crossovers, vs the average and typical stock on the same day, since 2012.

Backtests and strategies

Sector rotation backtestTop-4 NSE sectors by 3-month momentum with a 200-day filter, since 2019, after costs. Strategy library16 technical strategies backtested on Nifty 50 stocks since 2014, with drawdowns and current signals. Strategies labMonthly, weekly, momentum and gap strategies with live holdings and trade logs. AI backtesterDescribe a strategy in plain English and backtest it on NSE data.

Seasonality and cycles

Stock seasonalityWhich months each stock has historically risen or fallen, with walk-forward testing. Sector seasonalityAverage monthly return by sector, and a calendar-year quilt of sector returns.

Event and announcement research

Multibagger AI track recordEvery order-win and expansion brief, tracked against the Nifty Smallcap 250 since publication. What happened after bulk dealsMedian return after deals, by counterparty type, once enough deals have matured. Commodity-to-stock predictorsModels linking commodity prices to specific listed companies, with honest out-of-sample results.

Market structure

Market breadth historyShare of stocks above their 20/50/100/200-day averages, 400 sessions of history. India VIX regimesWhere today's VIX sits in its 1-year and 5-year distribution. Index valuation historyP/E, P/B and dividend-yield percentiles for 290+ indices since 2019. Chart pattern scanner17 classical chart formations detected across NSE stocks.

Our research standards

Out-of-sample or it did not happen. Seasonality and predictor results are tested walk-forward, on years the model never saw.
Costs included. Strategy backtests deduct transaction costs; where an edge disappears at realistic costs, the page says so.
Negative results are published too. Several commodity-to-stock relationships we tested showed no usable signal, and the predictors hub keeps only the ones that survived.
Benchmarks matter. Small-cap picks are judged against the Nifty Smallcap 250, not the Nifty 50, so that small-cap beta is not mistaken for skill.

See the methodology pages for the exact calculations.