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VIX/SKEW divergence

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VIX/SKEW divergence

What it is

VIX/SKEW divergence β€” registry key vix_skew_divergence.

Composite divergence indicator combining VIX level + SKEW elevation.

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal 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: vol_structure
Data source: computed

Derived metric β€” produced inside the platform (app/sources/vol_structure.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 label triggered when SKEW is elevated while VIX is muted: β€˜EXTREME’ (SKEW>150), β€˜ELEVATED’ (SKEW>140 & VIX<20), β€˜MODERATE’ (SKEW>130 & VIX<18), else β€˜NONE’. Moved from macro_indicators to vol_structure (refactor C3) so it refreshes on the hot profile. See app/sources/vol_structure.py:_collect_move_vix.

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

See also