โSector calibration ยท noisy
Engine accuracy in Financial Services has been close to zero on recent rolling windows. Treat the composite as informational. Lean on Confluence patterns, Insider clustering, and Options flow โ sub-signals that retain edge in narrative-driven cohorts.
๐ Forward-Return Projection
Expected returns over 1 / 7 / 30 / 90 days with 90% confidence intervals, regime amplifier, pattern multiplier, copula tail-dependence โ composed into one Bayesian distribution.
๐ Full Factor Breakdown
Per-factor 0-100 scores across quality, value, momentum, PEAD, accruals, insider flow, NLP tone, options flow, short interest, sector momentum, factor interaction โ plus the score waterfall.
๐ Confluence Patterns
Active multi-factor patterns (QUALITY COMPOUNDER, VALUE TRAP, SHORT SQUEEZE, OVEREXTENDED, etc.) with academic basis and pattern delta against the raw composite.
๐ Plain-English Explanation & Scenarios
Plain-English read of what the engine sees on this ticker today + what-if scenarios (price ยฑN%, regime flip, shock) replayed through the deterministic engine. No AI in the scoring path.