User Guide
How to use jini and the valuation methodology behind it — from the screener to verdict tracking, and how to apply each feature to your investment decisions.
How to use jini — from screening to post-verdict verification
The full workflow — find undervalued candidates with the screener, verify them on the stock page, size positions in the portfolio, and verify verdicts against the market with tracking.
Last updated: 2026-08-29
Turning the numbers into a strategy
How to read the stock page verdict, 8-dimension scores, moat assessment, and implied growth in the right order and with proper skepticism
Last updated: 2026-08-29
Portfolio — how to blend multiple stocks
Register stocks, read comparison tables, understand allocation proposal rules and their limits
Last updated: 2026-08-29
Tracking — were your verdicts right?
How to read verdict tracking, excess return, sample size warnings, and trade journals
Last updated: 2026-08-29
How Fair Value Is Calculated — 4 Methods and 3 Scenarios
jini uses 4 valuation methods (multiples, DCF, peer, historical) across bear/base/bull scenarios. Learn why a range, not a single price target, gives you a clearer picture.
Last updated: 2026-08-29
Verdict Criteria — The 5 Levels and What Confidence Means
jini's 5-level verdict system, how confidence is calculated, what triggers downgrades, and how adjusting safety margins instantly recalculates your verdict.
Last updated: 2026-08-29
Company Types — Why the Reason for Undervaluation Matters
jini classifies undervalued stocks into 5 types (A–E). Type D and E trigger automatic downgrades. Learn what each type means and how to respond.
Last updated: 2026-08-29
Moat Evaluation — How jini Measures Competitive Durability
jini's AI rates every company's competitive moat on a 0–100 scale. Learn how moat strength shapes valuation multiples and which pillars create lasting competitive advantage.
Last updated: 2026-08-29
How jini uses P/E, P/B, and ROE — why easy names matter
Why jini pairs technical terms like P/E with plain language ("what the current price is in multiples of earnings"), and why a single metric can never tell you if a stock is undervalued.
Last updated: 2026-08-29
The limits of growth estimates — why it's a range, not a forecast
Why jini's 1–5 year expected price is a scenario, not a prediction; the disclosed assumption that consensus growth converges to 6%; how to interpret implied growth gaps.
Last updated: 2026-08-29
What is margin of safety — why you discount more when confidence is low
The concept of margin of safety as insurance against estimation error, why jini lets you change 15% vs 30% and instantly recalculates the verdict.
Last updated: 2026-08-29
Reading the screener — how to pick undervalued candidates
What the three conditions in the candidates tab (discount, quality, financial safety) mean, what the other tabs (verifying, excluded, not qualified) represent, and why "candidate" means "worth analyzing", not "buy this".
Last updated: 2026-08-29
Avoiding value traps — the danger of cheap-looking stocks
What a value trap is, how jini's excluded tab and Type D/E auto-demotion catch them, and what warning signals to look for on stock pages.
Last updated: 2026-08-29
Data and AI's role — who makes the numbers
jini's data sources (Yahoo Finance) and refresh cycles, why AI runs only in the browser (BYO API key), the principle that AI interprets rather than invents, and how the number validation gate works.
Last updated: 2026-08-29
Verifying its own verdicts — are the predictions right?
How jini validates its verdicts against the market, why sample-size warnings exist, why historical backtesting is intentionally absent (lookahead bias, survivorship bias), and why this is the foundation of trust.
Last updated: 2026-08-29