The product is designed to be easier to review than scattered tips, random feeds, or a huge stock list with no explanation.
KR
KRISHA
Knowledge-Rich Investment Screening, Heuristics, and Analysis
Orientation
Trust and coverage
How KRISHA earns trust across all supported markets.
This page explains how KRISHA stays useful: it uses prepared market data, keeps the reading style simple, and tells you what still needs a closer check outside the app.
1.0.0
2026.03
Current local release
Foundation
Trust basics and visible proof
A research app is only useful when it tells you how fresh the data is, what the list is good for, and what it can still miss.
KRISHA supports the top seven major economies, plus crypto, today. The markets are different, but the reading flow stays consistent.
Each module reads a prepared dataset before building the result so the output stays stable, readable, and less noisy.
- Use the same reading style everywhere: shortlist first, caution second, deeper research later.
- Let the market note tell you what matters most in that market.
- Use the result to narrow attention, not to skip your own judgment.
Visible proof
Trust should be visible inside the output itself
Open this when you want the concrete proof cues users should see in every brief.
Visible proof
Trust should be visible inside the output itself
Open this when you want the concrete proof cues users should see in every brief.
Every brief shows the data snapshot date
The output states what market snapshot it used, so users are not guessing whether they are reading stale context.
Each market keeps its own context
Stocks, crypto, and IPO research do not behave the same way. KRISHA keeps the reading style simple while still showing market-specific notes beside the result.
Caution notes appear beside the shortlist
Confidence, risk posture, and data-quality limitations are shown with the brief so users can slow down before over-trusting it.