The Story

Why IntradayLab Exists

Data over opinion. Evidence over assumption. Research over noise.

Most traders rely on opinions.

Strategies are shared, repeated, and trusted — without ever being tested. IntradayLab was built on a simple idea: if it can't be verified with data, it shouldn't be trusted with money.

I come from a data background — working with large datasets, validating patterns, and questioning assumptions. When I applied the same rigour to the markets, one thing became clear:

Much of what traders believe doesn't hold up under scrutiny.

So I started testing it.

Using real market data, systematic backtesting, and a structured approach — separating what works, what doesn't, and what's misunderstood.

IntradayLab is where I publish those findings.

No signals. No tips. No promises. Just data-backed research, shared openly. Weekly briefs. Deep studies. Clear conclusions.

If you value evidence over opinion, you'll feel at home here.

Seenu Doraigari

Seenu Doraigari

Founder, IntradayLab

What We Stand For

No signals. No tips. We publish research — you make your own decisions. Always.
Data over opinion. Every finding is backed by numbers. We show the data, not just the conclusion.
Free forever. Quality research should be accessible. It always will be here.
Honest about limitations. Where our findings may not apply, we say so clearly.

Markets We Cover

NSE EquitiesNSE F&ONifty 50Bank NiftyBSE StocksMCX Commodities

Regulatory Disclosure

Intraday Lab is not registered with SEBI as a Research Analyst, Investment Adviser, or any other regulated category under the SEBI (Research Analysts) Regulations, 2014 or SEBI (Investment Advisers) Regulations, 2013. All content published on this platform is for educational and informational purposes only and does not constitute investment advice, financial advice, or a recommendation to buy or sell any securities. You are solely responsible for your own investment decisions. Please consult a SEBI-registered financial adviser before making any investment decision.

Want to know how we analyze data?

Read our full methodology →