- Runs on a dedicated India workflow with scheduled snapshots and review controls.
- Uses factor signals such as momentum, benchmark-relative strength, volatility, and liquidity.
- Best fit when you have fresh cash, want a shortlist, or want a second look at existing holdings.
KR
KRISHA
Knowledge-Rich Investment Screening, Heuristics, and Analysis
Orientation
Phase 2
India stocks
Use the India module when you want a smaller list for Indian equities instead of random tips or noisy threads.
Available now
NIFTY 100
2026.03
Where it fits
Best uses and visible cautions
Start with fit first. If the module does not match your market or your problem, the rest of the evidence will not save the workflow.
- Research support only, not a transaction instruction.
- Still needs your own judgment or independent professional guidance before acting.
How it works
Engine focus, market-native assumptions, and learning links
This section explains what the lane is optimized for and which market-specific frictions or assumptions shape the shortlist.
Built for Indian equities, where sector mix, liquidity, and benchmark behavior all shape what deserves a closer look.
- Scheduled snapshot refresh with owner oversight.
- Liquidity screening, sector caps, and benchmark-relative signals.
- Research-grade backtest with diagnostics and volatility controls.
- Indian equities can change quickly when liquidity dries up or one sector takes over the market.
- Sector concentration and liquidity matter a lot in Indian equities, so shortlist breadth is watched closely.
- Use your own tax and brokerage context before turning a shortlist into action.
- Indian small and mid-cap names can move sharply around liquidity events, even when the shortlist looks clean.
Proof and risks
Diagnostics, walk-forward evidence, and failure modes
This is the evidence layer. It should make the module easier to trust in context, not easier to over-trust.
- Use your own tax and brokerage context before turning a shortlist into action.
- Indian small and mid-cap names can move sharply around liquidity events, even when the shortlist looks clean.
- Research support only, not a transaction instruction.
- Still needs your own judgment or independent professional guidance before acting.
- Fast regime reversals, event shocks, and crowded benchmark leadership can all make a clean-looking screen lag badly.
Walk-forward export is not published for this module yet.
Data transparency
What powers this page and where it can still fail
Last refresh2026-04-16
- Market prices are refreshed into a local store from the current KRISHA ingestion pipeline.
- Public pages and diagnostics are rendered from local snapshots and generated reports.
- Price-led screens do not capture valuation, filings, governance, taxes, or venue-specific execution risk.
- Some modules rely on current scope universes rather than a fully point-in-time constituent history.
- Historical reports may still be affected where the input universe is not fully point-in-time. Diagnostics disclose this explicitly instead of hiding it.
- Regime overlays use lagged benchmark information so the public state does not peek at same-day closes it could not have known in advance.
- India symbols are normalized to market-native form such as RELIANCE.NS.
Next step
Run a fresh review
When you are ready, go back to the main KRISHA page and run a fresh review with the market you want to check.