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What is gamma in options trading and why does it move markets?

By the FES team · Published 6 May 2026

When retail traders began discussing "gamma squeezes" during the GameStop episode of early 2021, a derivative concept that had previously lived only in options trading desks entered mainstream financial discourse. Gamma is one of the "Greeks" — the mathematical sensitivities of an option's price to changes in underlying variables. Of all the Greeks, gamma is the most important for understanding how options affect the behaviour of the underlying market itself.

In brief: Gamma (γ) measures how quickly an option's delta changes as the underlying price moves. Delta tells you how much an option's value moves per $1 move in the underlying; gamma tells you how much that delta itself changes per $1 move. High gamma means the option's delta (and therefore its hedge ratio) is highly sensitive to price — creating the dynamic hedging flows that can amplify market moves in either direction.

Delta and why gamma matters

Start with delta. A call option with a delta of 0.40 means the option gains $0.40 for every $1 rise in the stock. If you sell that call option to a client, you are short delta — you lose money when the stock rises. To hedge, you buy 0.40 shares of the underlying stock per option. Now the stock rises $1. Your option is now deeper in the money — its delta has increased, perhaps to 0.55. You now need 0.55 shares to hedge. So you buy more shares. This is dynamic (delta) hedging: continuously re-balancing to maintain a delta-neutral position.

Gamma is what forces you to do this re-balancing. High gamma means delta changes rapidly, forcing large and frequent hedge adjustments. Near expiry on at-the-money options, gamma is extremely high: a small price move can cause delta to jump from 0.45 to 0.55, requiring a significant increase in the hedge.

Delta and Gamma — At-the-Money Call Option Near Expiry Underlying Price (relative to strike) Delta Gamma ATM 1.0 0.5 0 Deep OTM Deep ITM

Long gamma vs short gamma

A market maker who has sold options to clients is typically short gamma. When the market moves, they must chase the move to re-hedge: if the market falls, they sell the underlying; if it rises, they buy. This is inherently destabilising — short gamma positions amplify market moves by trading in the direction of the move. Conversely, a trader who has bought options is long gamma: as the market moves, their hedge needs create counter-trend flows — buying when the market falls and selling when it rises — which is naturally stabilising.

Gamma squeeze When retail investors buy large volumes of short-dated call options on a stock, market makers selling those calls are short gamma. As the stock price rises, market makers must buy the underlying to hedge their delta — which pushes the stock higher, increasing gamma further, requiring more buying. This feedback loop drove GameStop from $20 to $483 in three weeks in January 2021. Understanding gamma explained what "short squeeze" alone could not.

Gamma and implied move

Options market makers often talk about being "long or short the market's gamma." In aggregate, the market-wide net gamma position (dealer gamma) has a measurable effect on intraday volatility. When dealers are estimated to be long gamma (i.e. have sold options they now own net), they suppress volatility through their stabilising hedges. When dealers are estimated to be short gamma, realised volatility tends to be higher and moves more directional. Several research firms and hedge funds now track estimated dealer gamma exposure as an input to volatility forecasting and market structure analysis.

The 0DTE (zero days to expiry) options boom of 2022–2024 raised concerns specifically because of gamma dynamics. Options expiring on the same day have extremely high gamma — tiny price moves create enormous delta swings, requiring large and rapid hedging flows. As daily options on the S&P 500 grew to represent over 50% of total S&P 500 options volume, questions emerged about whether this gamma-driven hedging demand was contributing to the index's intraday volatility patterns — with pronounced swings particularly in the final hour of trading.
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