N1 distribution top score
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N1 distribution top score
What it is
N1 distribution top score β registry key n1_distribution_score.
Raw dislocation score for the N1 distribution-top (short) archetype: |ret_5d| lifted by a relative-volume multiplier when primed. Higher = a clearer rollover off the highs on heavier volume. Comparable only within the N1 archetype (cross-archetype normalization is rank.py). Not persisted to daily_signals β lives in the screener_candidates table.
Data-pyramid tier
T3 β Lens. This metric sits at the lens layer of the platformβs six-tier data pyramid (T0 raw inputs β T5 actionable read). The tier reflects how far the value is from a raw measurement β 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 β 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 β 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 itβs computed
primed: |ret_5d| * (1 + max(rel_vol - 1, 0)); partial: |ret_5d| * 0.8; none: 0. ret_5d is a 5-day log return. Score is 0 when any core screen condition (near-52w-high + RSI<=rsi_current_max + momentum rollover + quality gate) fails. See app/screener/archetypes.py::evaluate_distribution_top.
Where it surfaces
- API field:
screener.candidates.n1.scoreonGET /api/v1/signals/latest
Health-score / alignment role
Data carrier β 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