What the 0–100 AI score measures, the signals inside it, and how to use it as a conviction gauge.
Where the fair-value estimate comes from and how to read the gap between value and price.
How the technical model reads chart structure and how it fits into the composite score.
Why a P/E only means something against the company's own past — and how to read the Quarterly P/E chart.
What the forward return forecast contributes to the score — and its limits.
How reported financial health feeds the score, separately from the fair-value gap.
Consensus is one input, not gospel. It makes up about 10% of the score.
Seasonal tendencies are real but weak evidence, which is why they get a small share of the score.
Why jumpier stocks clear a higher bar — the volatility penalty explained.
Why consecutive earnings beats carry information, what a streak cannot tell you, and its small role in the AI score.
What a market regime is, the seven signals ŷRobot uses to call it, why the risk level is about drawdowns rather than returns, and how to use the page.
The stock page in reading order: scorecard first, then value, forecast, and P/E history.
Scan the whole US universe by AI score and outlooks — and use breadth to avoid over-concentration.
Track the names you care about and get the daily digest — a repeatable process beats hot takes.
Three readings on one page: fair value gap, AI score and P/E history. None predicts next week; together they describe today's valuation picture.
Individual stocks move inside a market. The market page puts three context readings in one place. None predicts next week; they tell you the backdrop.
Every chart page has ML signal markers and a Chronos forecast. Here is how to read them without over-trusting either.
Put two stocks side by side on fair value gap, AI score and P/E history, then check each against its sector.
Create a free account and run a $10,000 paper portfolio on a preset strategy. No card needed and no real money at risk.
Run a preset strategy over past data, read the results with the right caveats, and learn why a backtest isn't a promise.
Good questions to ask the assistant, and how to check its answers against the stock page.
What each table in the monthly valuation report shows, and how to use it as a starting list for research.
ŷRobot analysis is AI-generated and quality-gated; nothing on this page is investment advice.
