KB / signal
A3 positioning extreme score
Last verified
Auto-generated. This article is rebuilt from
app/signals/config/signal_definitions.jsonbyscripts/build_signals_kb.py. Edit the registry entry and re-run the script — do not edit this file directly.
A3 positioning extreme score
What it is
A3 positioning extreme score — registry key a3_positioning_score.
Raw dislocation score for A3 positioning extreme vs price: count of fired triggers (short-extreme + price-holding). Mirrors squeeze.py trigger-count shape. 0.0 when state=none. The options skew leg (Phase 3) adds a third trigger when options_legs_enabled=true.
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
count of fired triggers: short_pct_extreme + price_holding (+ options_skew_extreme when options_legs_enabled). Each trigger worth 1.0.
Where it surfaces
- API field:
screener.candidates.a3.scoreonGET /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