How We Score Anomalies

Plain-English explanation; numbers below are illustrative and may evolve as we improve the engine.

Signals we observe

Normalization & z-scores

We compute feature deltas relative to rolling means/medians with dispersion estimates, then convert to comparable scales (e.g., z-like scores). This avoids over-emphasizing noisy symbols.

Composite anomaly score

A weighted combination of the standardized features forms the headline score (0–100). Higher means “more unusual relative to recent context,” not “buy/sell.”

Important caveats

Legal: TermsPrivacyDisclaimer