Skip to content

KB/signal

Disorderly stress state

Last verified

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.

Disorderly stress state

What it is

Disorderly stress state — registry key disorderly_stress_state.

Companion column to disorderly_stress_score; carries the state label (calm/disorderly/disorderly_elevated/disorderly_acute). See app/signals/disorderly_stress.py.

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: capture
Data source: computed

Derived metric — produced inside the platform (app/signals/capture.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

Categorical state from disorderly_stress_score: ‘calm’ (gate closed — either core leg missing or not firing, regardless of corroborators) / ‘disorderly’ (gate open, 2 triggers = both core legs) / ‘disorderly_elevated’ (3 triggers) / ‘disorderly_acute’ (4 triggers). See app/signals/disorderly_stress.py.

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

See also