- Built as a separate engine because crypto behavior is structurally noisier than equities.
- Useful for majors-only shortlist research, watchlists, and regime-aware comparison.
- Designed to slow down reactive crypto behavior instead of amplifying it.
Knowledge-Rich Investment Screening, Heuristics, and Analysis
Crypto
Use the crypto module when you want a stricter way to compare liquid major crypto assets without relying on hype.
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.
- Crypto moves faster than stock markets, so the shortlist is best used as a slower comparison tool.
- High volatility, exchange stress, and BTC-led moves can change the picture quickly.
- A calmer watchlist for liquid majors.
- Comparing relative strength and regime context across a small, higher-quality crypto set.
- Reducing noise before deeper project-specific or market-structure research.
- You want an instant execution signal.
- You are looking for small-cap, narrative-driven, or micro-liquidity tokens.
- You are not comfortable with very fast market regime changes and lower-confidence outputs.
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 major crypto assets where survival, breadth discipline, category concentration, and BTC-led stress matter more than classic equity-style diversification.
- Narrow crypto universe restricted to liquid majors.
- Higher liquidity floor and stricter volatility / drawdown filters than the stock engines.
- Benchmark context anchored to a BTC-led market proxy with harder risk-off throttles.
- Meme and DeFi categories are intentionally excluded from the live universe.
- Crypto trends and sentiment can reverse much faster than equities, so the module is built mainly for structure and disciplined comparison.
- BTC-led context matters because many assets still move with the broader crypto risk cycle even when the narrative sounds asset-specific.
- Overnight gaps, exchange stress, and liquidity air-pockets matter much more than they do in equities.
- Crypto spread, volatility, and overnight moves can make real-world outcomes much noisier than a clean shortlist suggests.
- Treat this module as a majors watchlist and risk-context tool, not as an execution-ready engine.
- Even large crypto assets can fall sharply without giving the kind of warning equity users expect.
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.
- Crypto spread, volatility, and overnight moves can make real-world outcomes much noisier than a clean shortlist suggests.
- Treat this module as a majors watchlist and risk-context tool, not as an execution-ready engine.
- Even large crypto assets can fall sharply without giving the kind of warning equity users expect.
- You want an instant execution signal.
- You are looking for small-cap, narrative-driven, or micro-liquidity tokens.
- You are not comfortable with very fast market regime changes and lower-confidence outputs.
- 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.
- Crypto symbols are normalized to quote-against-USD pairs such as BTC-USD.
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.