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Alignment score

What it is

Alignment score — registry key alignment_score.

Daily-signals column exposed for sparkline charts; raw value, no classification bands.

Data-pyramid tier

T3 — Lens. This metric sits at the lens layer of the platform’s six-tier data pyramid (T0 raw inputs → T5 actionable read). The tier reflects how far the value is from a raw measurement — not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric — read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: capture
Data source: computed

Derived metric — produced inside the platform (app/signals/capture.py or equivalent) rather than fetched as a raw upstream value. See the How it's computed section below for the formula.

How it’s computed

Weighted % of categories whose implication agrees with SPY direction, with per-category weights = (indicator-class × leg-count × regime-relevance multiplier). Range 0–100; ≥66 = STRONG_ALIGNMENT, ≤33 = STRONG_DIVERGENCE. See app/signals/regime.py:compute_alignment.

Where it surfaces

• API field: alignment.alignment_pct on GET /api/v1/signals/latest
• Surface: daily_signals row (daily-cadence persistence)
• Surface: /signals/sparklines (UI sparklines)

Health-score / alignment role

Data carrier — no implication, no health-score contribution.

Persisted for downstream consumers (sparklines, base-rate matcher, calibration substrate) but does not classify into BULLISH / NEUTRAL / BEARISH and does not contribute to the 0-100 health score.

Release cadence

• Publishes: intraday

See also

• /kb/api/get-signals-alignment — API endpoint that serves this field.