Understanding Option Gamma Exposure (GEX)
1. Introduction
Gamma Exposure (GEX) is one of the most insightful derivatives of option positioning. It represents how much market makers’ hedging activity can push or dampen price movements in the underlying asset.
When traders or institutions buy and sell options, dealers (or market makers) take the other side of those trades. Dealers typically hedge their risk exposure using the underlying instrument — such as S&P 500 futures or the SPX index itself.
The way they hedge depends on Gamma (Γ), which is the rate of change of an option’s Delta (Δ) with respect to the underlying price.
Mathematically:
Γ = ∂Δ / ∂S
Gamma tells us how sensitive Delta is to price movements. A high Gamma means Delta changes quickly — and thus, dealers must frequently rebalance their hedges.
In aggregate, all open options positions form the market’s total Gamma Exposure (GEX). Understanding where this exposure lies helps anticipate how market makers’ hedging could influence price direction and volatility.

2. Application
Dealer Positioning and Hedging Dynamics
When traders are net long options, dealers become net short options (since they sold them).
- If dealers are short calls, they have negative gamma exposure.
- If dealers are short puts, they also carry negative gamma, but their hedge response differs depending on the direction of the move.
Here’s how that affects price action:
| Market Type | Dealer Behavior | Market Impact |
|---|---|---|
| Positive Gamma | Dealers hedge against the move (buy low, sell high) | Dampens volatility |
| Negative Gamma | Dealers hedge with the move (sell low, buy high) | Amplifies volatility |
This dynamic means that the structure of options open interest can determine intraday market stability.
Call and Put Gamma Contributions
-
Call Gamma:
Arises from open interest in call options. Generally positive when above the spot price. High call gamma can create resistance zones, since dealers sell underlying to hedge as price rises. -
Put Gamma:
Arises from open interest in put options. Typically negative below the current spot. High put gamma can form support zones, as dealers buy the underlying when price falls.
Visualizing these distributions helps identify areas where hedging flows may reverse — these are often the Gamma Walls.

Net Gamma Exposure (GEX)
The Net GEX combines all call and put gamma to reflect the overall market state.
Net GEX = Σ (Gamma Exposure Call) – Σ (Gamma Exposure Put)
A positive Net GEX implies that overall hedging flows will absorb volatility, as dealers counteract price movements.
Conversely, a negative net GEX indicates amplified volatility, as dealer hedging reinforces the trend.
Reading the GEX Plot
Plotting the GEX across all strikes gives a “landscape” of market stability zones.
Key areas include:
- High Positive GEX Areas: Markets behave more mean-reverting, and dips are often bought.
- Deep Negative GEX Areas: Strong directional potential; markets can move aggressively with less resistance.
- Gamma Flip Zone: The level where total gamma changes from positive to negative. When price crosses this point, volatility tends to increase.
Real-World Usage
Traders, hedge funds, and quant desks monitor daily GEX data to adjust risk and bias:
- SPX and SPY traders use Gamma Walls as intraday targets or barriers.
- 0DTE traders combine GEX + VWAP to time credit spreads or straddles.
- Portfolio managers observe aggregate GEX shifts before major expirations (e.g., OPEX days) to gauge potential volatility spikes.

3. Key Takeaways
- Gamma Exposure reflects how dealer hedging behavior can either dampen or amplify market volatility.
- Positive GEX = Calm, mean-reverting environment.
- Negative GEX = High volatility and trend-following behavior.
- Gamma Walls act as invisible support and resistance zones derived from dealer positioning.
- Tracking daily GEX updates provides an edge in timing volatility shifts, especially for SPX, SPY, or QQQ traders.
- For intraday and 0DTE strategies, combining GEX with VWAP, Delta positioning, and open interest maps can reveal high-probability trade zones.