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N2 overextended blowoff score

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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.

N2 overextended blowoff score

What it is

N2 overextended blowoff score β€” registry key n2_blowoff_score.

Raw extremity score for the N2 overextended-blowoff (short) archetype: normalized RSI extremity ((rsi-50)/50) times |ret_5d|. Higher = more parabolic. Comparable only within the N2 archetype. Not persisted to daily_signals β€” lives in screener_candidates.

Data-pyramid tier

T3 β€” Lens. This metric sits at the lens 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

primed: ((rsi_14 - 50)/50) * |ret_5d|; partial: same * 0.7; none: 0. Score 0 when any core condition (RSI>=rsi_extreme_floor + worst-of(sma_dist_20,sma_dist_50)>=sma_stretch_floor + ret_5d>=ret_5d_min_momentum + quality gate) fails. See app/screener/archetypes.py::evaluate_overextended_blowoff.

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