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AI Capital Cycle score

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AI Capital Cycle score

What it is

AI Capital Cycle score — registry key ai_cycle_score.

AI Capital Cycle composite fired-wire count persistence (2026-07). The count of FIRED wires (0-23) the ordinal state escalates on; persisted at capture so probe #2’s forward clock has a continuous magnitude alongside the ordinal state. data_only — 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 — 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

len(fired) from app/signals/ai_capital_cycle.py:evaluate_ai_capital_cycle — the number of wires FIRED this cycle (calendar-status wires excluded). Persisted AT CAPTURE TIME in capture.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

Companion to ai_cycle_state — same evaluate_ai_capital_cycle call, stamped once per trade_date.

See also