Methodology

How the engine works — and how we grade it

Transparency over promises: this page explains the pipeline and publishes the live, ungroomed accuracy statistics straight from the forecast database.

1 · Twelve agents read the market

Trend, momentum, volume, derivatives, levels, news, narrative and more — each agent scores the same symbol from a different angle.

2 · One calibrated 0–100 signal

Agent reads are weighted by reliability and merged into a single score with scenario targets. It is a signal, not advice — the final decision is yours.

3 · Every forecast is recorded first

Before the outcome is known, the forecast (direction lean, probability, targets) is written to the database with a due date. No cherry-picking is possible.

4 · Graded against real prices

When the horizon ends, the record is scored with the actual market price: direction hit or miss, Brier score for probability quality.

5 · The engine learns per class & symbol

Calibration pools are kept separate for crypto, stocks and funds, so accuracy in one class never inflates another. Symbols earn their own calibration as history accumulates.

Live track record

Direction accuracy = share of graded forecasts whose direction lean matched the real move. Brier measures probability quality (lower is better; 0.25 = coin flip). History is young — treat small samples accordingly.

Crypto
HorizonGraded forecastsDirection accuracyBrier
1D36048.3%0.433
1W3060.0%0.272

Open (not yet graded) forecasts: 1260

Signals, not advice. Nothing on this page is investment advice; past accuracy does not guarantee future results. You make the final decision.