- Covers the top seven economies KRISHA supports with one ETF-specific workflow.
- Ranks ETFs using momentum, liquidity, low volatility, and sector rotation context.
- Useful for sector rotation review, top-down watchlists, and ETF comparison with country context.
Knowledge-Rich Investment Screening, Heuristics, and Analysis
ETF research
Use the ETF module when you want a calmer shortlist of liquid ETFs across the seven major economies KRISHA supports.
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.
- ETF shortlists still need your own portfolio, tax, and product-structure judgment.
- Country ETFs and sector ETFs can still become concentrated even when the wrapper looks diversified.
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.
Optimized for liquid ETFs where momentum, liquidity, and sector participation provide a cleaner top-down comparison layer than stock-by-stock screening alone.
- Separate ETF universes for each supported economy instead of one combined cross-market list.
- Liquidity floor and country-context checks before ranking.
- Sector-rotation score added on top of momentum and low-volatility signals.
- ETF shortlists are most useful when you want a broad or sector-specific research checkpoint before going deeper.
- Sector and thematic ETFs can move differently from broad market ETFs, so rotation context matters.
- Issuer structure, tracking error, and expense ratio still need review outside the engine.
- Country-level ETF results should not be treated as a substitute for understanding benchmark concentration.
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.
- Issuer structure, tracking error, and expense ratio still need review outside the engine.
- Country-level ETF results should not be treated as a substitute for understanding benchmark concentration.
- ETF shortlists still need your own portfolio, tax, and product-structure judgment.
- Country ETFs and sector ETFs can still become concentrated even when the wrapper looks diversified.
- 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.
What powers this page and where it can still fail
- 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.
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.