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AI Capital Cycle amber count

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AI Capital Cycle amber count

What it is

AI Capital Cycle amber count β€” registry key ai_cycle_amber_count.

AI Capital Cycle composite amber-wire count persistence (2026-07). The count of AMBER (armed-but-not-fired) wires this cycle β€” leading-edge context for the ordinal state, persisted at capture so the forward-grade series carries the pre-fire build-up. data_only β€” NOT scored, NOT a lens, NOT wired into any alert/sizing/scored surface (operator Architecture Decision 7); panel-only until the forward checkpoint passes.

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: capture
Data source: computed

Derived metric β€” 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

len(amber) from app/signals/ai_capital_cycle.py:evaluate_ai_capital_cycle β€” the number of wires AMBER (armed, not yet fired) this cycle. Persisted AT CAPTURE TIME in capture.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

Companion to ai_cycle_state β€” same evaluate_ai_capital_cycle call, stamped once per trade_date.

See also