A quantitative framework for detecting dealer gamma regimes, cross-asset fragility, and volatility surface shifts.
- Dealer Gamma Detection
- Flow Amplification Modeling
- Cross-Asset Flip Risk
- Early Crash Warning Signals
- State Transition Modeling
$$ Γ=∂^2v/ds^2 $$ Aggregate dealer gamma exposure (GEX): $$ GEX(S)=∑iΓi(S)⋅OIi⋅ContractSize $$ $$ GEX(S)= i ∑
Γ i
(S)⋅OI i
⋅ContractSize
Your normalized gamma score likely resembles:
GammaScore=GEX∣GEX∣+λ GammaScore= ∣GEX∣+λ GEX
or a z-score of GEX.
git clone https://github.com/kncsolutions/vol_regime_engine.git
cd vol_regime_engine
pip install .