How We Analyze Markets
Every piece of research on IntradayLab follows the same rigorous process. Here it is, in full.
1Our Data
We use institutional-grade market data covering NSE, BSE and MCX instruments — the same quality of data used by professional trading desks in India.
Data is sourced via direct broker API access, giving us clean, reliable historical price, volume, and derivatives data across all major instruments and timeframes.
What we cover:
2Data Processing
Raw market data is processed using Python — cleaned for errors, adjusted for corporate actions, filled for missing sessions, and structured for analysis.
We validate data integrity before every study. Sample sizes, date ranges, and any data limitations are always disclosed in the published research.
3Premium AI Analysis
We use premium AI models to analyze processed datasets — identifying statistical patterns, validating findings across different time periods, and stress-testing conclusions that would take weeks to verify manually.
AI analysis is used as a tool for speed and scale — not as a replacement for domain knowledge. Every AI finding is reviewed and interpreted before publishing.
4Our Publishing Standards
Every claim backed by data
No finding is published without the numbers to support it.
Sample sizes always disclosed
We state exactly how many data points each conclusion is based on.
Limitations always mentioned
Where findings may not generalise, we say so clearly.
No forward-looking promises
Past patterns are not guarantees. We never imply otherwise.
No signals. No tips.
We publish research, not recommendations. You make your own decisions.
Free forever
All published research is and will remain free to read.
Questions about our methodology or data sources?
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