SKEW
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Auto-generated. This article is rebuilt from
app/signals/config/signal_definitions.jsonbyscripts/build_signals_kb.py. Edit the registry entry and re-run the script β do not edit this file directly.
SKEW
What it is
SKEW β registry key skew.
Classifier metric. See the bands table below for the band-by-band reading.
Data-pyramid tier
T1 β Signal. This metric sits at the signal layer of the platformβs 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: back_fillable
Fetched directly from app/sources/vol_structure.py; see source code for the upstream API call and any provider-specific handling.
How itβs computed
Raw CBOE SKEW Index close from market-data fallback ticker ^SKEW. SKEW is a CBOE measure of the implied volatility of OTM S&P 500 puts relative to ATM options β a market-implied probability of a 2Ο+ tail move over the next 30 days. Typical range 100β170; 100 means tail risk is priced in line with a lognormal distribution, higher means a fatter left tail. Fetched in vol_structure (_fetch_skew), moved there from macro_indicators (refactor C3) so it refreshes on the hot profile. The classifier bands (Benign / Normal / Firm / High / Extreme tail risk) are applied downstream via signal_defs.band_for('skew', value).
Where it surfaces
- API field:
volatility.skewonGET /api/v1/signals/latest - Surface:
daily_signalsrow (daily-cadence persistence) - Surface:
/signals/historytime series - Surface:
/signals/sparklines(UI sparklines)
Bands / thresholds
Classifier direction: lower_is_better.
| Range | Label | Dot | Implication | Points |
|---|---|---|---|---|
| β | Benign | favorable | BULLISH | 3 |
| β | Normal | leaning | NEUTRAL | 2 |
| β | Firm | neutral | NEUTRAL | 2 |
| β | High | cautionary | BEARISH | 1 |
| β | Extreme tail risk | adverse | BEARISH | 0 |
Health-score / alignment role
- Health score component:
skew_vix(weight + math inapp/signals/config/score_weights.jsonandapp/signals/score.py). - Alignment category:
volatility, default weight 1.0 (see/kb/alignmentfor the 11-category framework). - Contributes to:
health_score.SKEW/VIX,implication.volatility,alignment.volatility
Release cadence
- Publishes:
intraday
See also
- /kb/alignment β Alignment framework β 11-category implication vs. price.
- /kb/health-score β Health score β 0-100 composite.
- /kb/api/get-signals-latest β API endpoint that serves this field.