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A7 earnings dealer-unwind triggers

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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 β€” do not edit this file directly.

A7 earnings dealer-unwind triggers

What it is

A7 earnings dealer-unwind triggers β€” registry key a7_dealer_unwind_triggers.

Human-readable list of fired conditions from the A7 scorer, e.g. [β€˜earnings_confirmed (T+1)’, β€˜dex_quantile 0.87 (n=212)’, β€˜confirmer:net_gex_rank 0.12 (bottom quintile)’]. Registered 2026-06-12 (coherence audit PR-5 / L5-15) mirroring A6.

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal 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

List of triggered condition strings assembled in evaluate_earnings_dealer_unwind. 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