KR
KRISHA
Knowledge-Rich Investment Screening, Heuristics, and Analysis
Orientation
Guide
Comparing KRISHA's supported markets
A simple framework for understanding how top-seven-economy equity, crypto, and IPO research differ without turning one market into the default.
Not all market research modules should be read the same way. Top-seven-economy equity, crypto, and IPO research are all supported, but each one needs the right expectations for liquidity, benchmark behavior, and how quickly conditions change.
Key points
What to keep in mind
- Use each market for what it is built to do best.
- Read the benchmark and market note before comparing outputs across regions or asset classes.
- Let the output narrow attention, then do the slower work outside the tool.
Practical checklist
How to apply this guide
- Start with the module note and validation context before reading the shortlist.
- Check whether the market structure makes benchmark-relative behavior especially important.
- Use global modules to compare and filter, then validate with market-specific research.
Common mistakes
What usually goes wrong
- Comparing all module outputs as if the underlying universes and benchmarks were identical.
- Ignoring liquidity and benchmark concentration differences between regions.
- Treating a cross-market shortlist as a ready-made action list.
Why this matters
Use AI market research as a filter, not a shortcut
These guides are meant to help users compare names more deliberately, reduce noise, and use AI stock research as a first-pass screening tool rather than a substitute for judgment.
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