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A3 positioning extreme state

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A3 positioning extreme state

What it is

A3 positioning extreme state β€” registry key a3_positioning_state.

State label from the A3 positioning-extreme scorer, gated on the quality pass. β€˜primed’ = short-extreme AND price-resilient (ret_20d >= primed_ret_20d_floor, default +0.05, AND above the 52-week low). The options skew leg is additive confirmation only and never gates primed – co_options_daily is watchlist-only, so gating primed on it made primed structurally unreachable universe-wide. β€˜partial’ = short-extreme alone (price not resilient). β€˜none’ = the quality gate fails, OR both short inputs (short_pct_float and days_to_cover) are absent so the scorer abstains, OR short-extreme does not fire.

Data-pyramid tier

T4 β€” Regime / state. This metric sits at the regime / state layer of the platform’s 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 it’s computed

State machine in evaluate_positioning_extreme. See app/screener/archetypes.py.

Where it surfaces

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