Auto-generated. This article is rebuilt from app/signals/config/signal_definitions.json by scripts/build_signals_kb.py. Edit the registry entry and re-run the script — do not edit this file directly.

N6 PEAD drift short score

What it is

N6 PEAD drift short score — registry key n6_pead_drift_short_score.

Raw continuation-strength score for the N6 pead_drift_short archetype: |eps_surprise| × post-reaction magnitude proxy for NEGATIVE surprise events. Higher = bigger miss with sustained downside drift. Comparable only within N6. Not persisted to daily_signals — lives in screener_candidates.

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

|eps_surprise| * continuation_factor for negative-surprise events. Score is 0 when eps_surprise is missing, zero, or positive (N6 is the SHORT mirror of A8). See app/screener/archetypes.py::evaluate_pead_drift_short.

Where it surfaces

• API field: screener.candidates.n6.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