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A4 pre-catalyst coiling score

What it is

A4 pre-catalyst coiling score — registry key a4_coiling_score.

Raw dislocation score for A4 pre-catalyst coiling: coil = (1 - rvol_pctile/100) * proximity_factor. The IV leg (iv_pctile term) is added when options_legs_enabled=true. Higher = tighter vol compression closer to a dated catalyst.

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: screener
Data source: computed

Derived metric — produced inside the platform (app/sources/screener.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

coil = (1 - rvol_pctile/100) * proximity_factor, where proximity_factor = max(0, 1 - days_to_catalyst/max_days). When options_legs_enabled: multiply by (1 - iv_pctile/100).

Where it surfaces

• API field: screener.candidates.a4.score on GET /api/v1/signals/latest

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: daily