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Gamma put wall

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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 β€” do not edit this file directly.

Gamma put wall

What it is

Gamma put wall β€” registry key gamma_put_wall.

Daily-signals column exposed for sparkline charts; raw value, no classification bands.

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: gamma
Data source: live_only

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

How it’s computed

Strike with the most NEGATIVE net dealer gamma (put-gamma dominated), typically below SPY spot β€” the floor where dealer hedging is expected to support price on declines. Same profile as gamma_call_wall, opposite side of spot (put_wall = min net_gex over strikes within ~10% of spot). See app/gamma.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

See also