Module 3 of 5 · SVI 304

Gamma Exposure (GEX) & Dealer Hedging

20 min readAnchor: SVQ GEX analysis (sum of signed gamma * open interest)
Objectives
  • Explain why an option dealer's delta-hedging forces them to trade the underlying, and how gamma sets the direction and size of that trade.
  • Compute a strike-level gamma exposure as signed gamma times open interest times contract multiplier, and aggregate it into a net GEX figure and a gamma profile.
  • Use the sign of net GEX and the location of the zero-gamma flip to judge whether dealer hedging is suppressing or amplifying realized volatility.

There is a force in the options market that does not care what you think the asset is worth. It is mechanical. It comes from the people on the other side of nearly every options trade — the dealers, the market-makers — and the trades they are forced to make to stay neutral. If you understand that force, you can sometimes tell, before anything has happened, whether the next few days are likely to be quiet or violent. That is the prize in this chapter, and it ties straight back to the throughline of this institute: learning when a number is genuine evidence that an asset is about to move.

Let us build the intuition first.

When you buy a call option, someone sells it to you. That someone is usually a dealer, and the dealer does not want a directional bet — they want the spread, the small edge in the price, and nothing else. So the moment they sell you that call, they have unwanted exposure to the underlying, and they neutralize it by trading the stock. This is delta-hedging: the dealer buys or sells just enough of the underlying to cancel the directional sensitivity of the option. If the option's delta is one-half, they hedge with half a share's worth of stock per share of exposure.

The catch is that delta is not constant. As the underlying moves, the delta of the option changes, and the dealer has to re-hedge. The rate at which delta changes as the price moves is gamma. Gamma is the curvature of the option — the second derivative of the option's value with respect to the underlying price. And gamma is precisely what determines whether the dealer's forced re-hedging calms the market down or whips it up.

Here is the heart of it. Consider who is long gamma and who is short gamma, because the two cases run in opposite directions.

When dealers are long gamma — which happens when they are net long the options around the current price, holding long calls and/or long puts — their hedging is stabilizing. As the price rises, their net delta rises, so to stay neutral they must sell the underlying into the rally. As the price falls, they must buy into the decline. They are leaning against every move, selling strength and buying weakness. This compresses realized volatility. Price gets pinned, ranges go quiet, and a number that would normally be evidence of a breakout fizzles, because there is a mechanical bid under dips and a mechanical offer over rallies.

When dealers are short gamma, the sign flips and everything inverts. Now, as the price rises, their delta becomes more negative, so to stay neutral they must buy the underlying — buying into strength. As the price falls, they must sell into the decline. They are now chasing every move in the same direction it is already going. This amplifies realized volatility. Small pushes become large ones, gaps extend, and a move that looks like ordinary noise can cascade because the largest hedgers in the market are pouring fuel on it.

So the question "is the move real?" has a structural component you can estimate in advance: which gamma regime are the dealers in, and how strong is it? That is what gamma exposure measures.

Now the math, and it is cleaner than you might fear.

For a single strike, the gamma exposure is the option's gamma, multiplied by the open interest at that strike, multiplied by the contract multiplier — typically one hundred shares per contract — and then signed according to whether dealers are long or short that gamma. The sign does not come from the Greeks themselves — at a given strike a call and a put have identical, positive gamma, so gamma alone tells you nothing about direction. The sign is an assumption about dealer positioning: the standard convention supposes that customers buy puts for protection while dealers are net long the calls and short the puts, so call open interest is booked with a positive sign and put open interest with a negative sign. It is a heuristic proxy for who holds what, not a mechanical property of gamma. You compute this strike by strike, across the whole chain, and then you sum. That sum is the net GEX: the aggregate signed gamma times open interest across all listed strikes. To make it readable, GEX is usually scaled by the spot price, and sometimes by spot again, so it reports roughly the dollar value of underlying that dealers must trade per one-percent move in the price.

Read that net number's sign first. A large positive net GEX says dealers are net long gamma — expect suppression, mean-reversion, pinning. A large negative net GEX says dealers are net short gamma — expect amplification, trending, fragility. The magnitude tells you how forceful the effect is: how many dollars of stock get mechanically thrown at every move.

Then look at the profile, not just the total, because net GEX is a single number hiding a shape. Plot gamma exposure against price and you get a curve, and the price where that curve crosses zero is the gamma flip or zero-gamma level. Above the flip, dealers are long gamma and the market is damped; below it, they are short gamma and the market is jumpy. That flip level is one of the most-watched numbers in modern microstructure, because it marks the boundary between a regime that absorbs your evidence and a regime that magnifies it.

In Saqrid

The GEX analysis panel in SVQ builds this number strike by strike. For each strike in the chain, SVQ takes the option's gamma from its pricing model, multiplies by the open interest and the one-hundred-share multiplier, signs calls positive and puts negative, and sums across every strike — that single figure at the top is the net GEX. The profile below it shows where the bars cross from positive to negative: that is the zero-gamma flip. Suppose SVQ reports strongly positive net GEX with spot sitting comfortably above the flip. That is a pinning regime: a one-percent up-move that might otherwise look like a breakout is, structurally, likely to be sold back by dealer hedging. The same one-percent move with spot below a negative-GEX flip is the opposite — dealers are forced to chase it, and that is when a number is far more likely to be genuine evidence of a real move.