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Stock Valuation Guide
Gurivo uses valuation as a research framework: combine market multiples, cash-flow quality, risk weights, peer context, and data credibility before forming a conclusion.
1. Start With Verified Data
A valuation model is only as useful as its inputs. Gurivo prioritizes configured market-data providers, then SEC EDGAR for US filings, then clearly labeled fallback data when a field is unavailable.
2. Compare Multiples With Business Quality
P/E and P/S are not enough by themselves. A high-quality business can deserve a premium, but that premium still needs to be tested against growth, margins, return on equity, and free cash flow.
3. Use Margin of Safety
Gurivo separates a research fair-value range from a stricter margin-of-safety range. These ranges are analytical estimates, not buy or sell recommendations.
4. Weight Risks Explicitly
Valuation risk, data-confidence risk, competitive pressure, and balance-sheet risk should be visible. A report should explain why the final score is capped or supported.
5. Treat AI as Structure, Not Authority
AI helps organize research and surface questions. It should not invent missing financial fields, promise returns, or replace independent verification.