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Re-entry / oversold state

What it is

Re-entry / oversold state — registry key reentry_state.

Companion column to reentry_score; carries the state label (none/watch/elevated/high). See app/signals/reentry.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 reentry_score: ‘high’ (4 triggers) / ‘elevated’ (3 triggers) / ‘watch’ (2 triggers) / ‘none’ (0–1 triggers). See app/signals/reentry.py:HIGH_THRESHOLD.

Where it surfaces

• API field: positioning.reentry.state on GET /api/v1/signals/latest
• Surface: daily_signals row (daily-cadence persistence)

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: intraday

See also

• /kb/api/get-signals-latest — API endpoint that serves this field.