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A8 PEAD drift score

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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.

A8 PEAD drift score

What it is

A8 PEAD drift score — registry key a8_pead_drift_score.

Raw continuation-strength score for the A8 pead_drift archetype: eps_surprise × post-reaction magnitude proxy. Higher = stronger positive surprise with sustained drift. Comparable only within A8 (cross-archetype normalization is Session 1.4 rank.py). 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 where continuation_factor captures post-reaction drift strength. Score is 0 when any core screen condition fails (e.g. eps_surprise missing or non-positive). See app/screener/archetypes.py::evaluate_pead_drift.

Where it surfaces

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