KB / signal

GEX

Last verified 2026-05-26

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 — do not edit this file directly.

GEX

What it is

GEX — registry key gex.

Classifier metric. See the bands table below for the band-by-band reading.

Source

Source module: darkpool
Data source: back_fillable

Fetched directly from app/sources/darkpool.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

Raw aggregate dealer gamma exposure from the SqueezMetrics daily CSV (same pull as dix), normalised to $B notional per 1% SPX move. Positive = dealers are net long gamma (dampening realised vol); negative = net short (amplifying moves). The fetch divides the raw column by 1e9 when the value exceeds 1e6 (app/sources/darkpool.py:31). Daily cadence. See app/sources/darkpool.py:28 (_fetch_dix_gex). The classifier bands (Strong suppression / Vol dampening / Mild amplification / Vol amplification / Severe amplification) are applied downstream via signal_defs.band_for('gex', value).

Where it surfaces

API field: signals.gex on GET /api/v1/signals/latest
Surface: daily_signals row (daily-cadence persistence)
Surface: intraday_signals row (per-cycle snapshot)
Surface: /signals/sparklines (UI sparklines)

Bands / thresholds

Classifier direction: higher_is_better.

Range	Label	Dot	Implication	Points
—	Strong suppression	favorable	BULLISH	10
—	Vol dampening	leaning	BULLISH	7
—	Mild amplification	neutral	NEUTRAL	3
—	Vol amplification	cautionary	BEARISH	1
—	Severe amplification	adverse	BEARISH	0

Health-score / alignment role

Health score component: gex (weight + math in app/signals/config/score_weights.json and app/signals/score.py).
Alignment category: gamma, default weight 1.5 (see /kb/alignment for the 11-category framework).
Contributes to: health_score.GEX, implication.gamma, alignment.gamma, transition.gex_sign

Release cadence

Publishes: daily
Approximate time (ET): 16:30
Lag days: 0

_Shares the SqueezeMetrics EOD CSV publish with DIX; during the live session the most recent row is the prior close. Mapped to freshness_class=prior_close by routes.PUBLISH_TO_FRESHNESS_CLASS.

GEX