Max pain vs gamma exposure

Both numbers are built from exactly the same input — the open interest sitting on an option chain. They are not competing estimates of the same thing. One names a price; the other describes a temperament. Confusing the two is an easy mistake to make with options data, and the rest of this page is about not making it.

The short version

Same input, different question

An option chain is a list of strikes with two counts attached to each: how many calls are outstanding, how many puts. That is the entire raw material.

Max pain treats it as a payout problem. Pretend the stock settles at each strike in turn, add up what all the in-the-money contracts would pay, and find the cheapest outcome. The answer is a single price, and it is pure arithmetic — no volatility, no model, no fitted parameters.

Gamma exposure treats the same list as a hedging problem. Every one of those contracts sits on a dealer's book, and that dealer holds stock against it. As price moves, the amount of stock they need changes, and they are obliged to trade. Adding that obligation up across the chain gives a dollar figure per 1% move, and its sign tells you whether the resulting flow leans against the market or with it.

A worked contrast

Take a stock at $100. The front expiration produces:

• Max pain $98 — 2% below the current price.
• Net GEX −$400 million per 1% move, with the gamma flip at $102.

A beginner reads that as two bearish signals and gets it wrong twice. Here is what the two numbers actually say.

Max pain at $98 says that if this stock were to settle at $98 on expiration day, the total payout to option holders would be smaller than at any other strike. That is a statement about a hypothetical settlement, not a prediction that it will happen. We have not measured whether price drifts toward max pain at all — the published research is about individual heavy strikes, not about this whole-chain level (see below).

Net GEX of −$400M with the flip at $102 says something with no direction in it at all: because price is below the flip, dealer hedging is estimated to run with the market. If the stock rallies, hedging buys; if it drops, hedging sells. Under that mechanism the flow adds to moves in either direction rather than damping them. It does not favour down.

Combine them honestly and you get: "a crowded strike sits a little below, and today's estimated hedging regime is the amplifying kind rather than the damping kind." That sentence describes a mechanism, not a measured outcome — we have not measured realised range width by regime. It is not a reason to take a position, and there is no historical study saying this combination predicts anything.

Four configurations, read plainly

What the evidence supports, and what it does not

Being clear about this is more useful than another chart.

• Hedging flows are real. That dealers hold and adjust share hedges against option books is not a theory; it is how the business works. The GEX mechanism is sound even where the GEX number is rough.
• Expiration-day clustering is documented. Ni, Pearson and Poteshman's 2005 study of US equity options (Journal of Financial Economics 78(1), 49–87) finds stock prices cluster at option strike prices on expiration dates more often than chance would predict. The paper names two channels that contribute to it, not one: hedge rebalancing by option market makers, and stock price manipulation by firm proprietary traders. Either way it supports a weak effect at individual heavy strikes, in the final days.
• Neither result is a max pain result. Max pain is a whole-chain balance point, not a strike, and no body of evidence says price gravitates to it on a weekly or monthly horizon.
• The GEX sign can simply be wrong. Public GEX assumes the dealer side of every contract. Where that assumption fails for a particular name, the regime label inverts, and nothing on the page will warn you.
• No published edge. There is no well-established, out-of-sample study showing that trading either number, or the combination, produces reliable profit. If a dashboard implies otherwise, ask to see the held-out results.

That last standard is the one Quant Data holds its own paid products to. The day-type model served by the Brooks Events API was published with its held-out accuracy — 66% top-1 and 80% top-2 across five day types, against a 37% majority baseline — and the research programme publishes its failures next to its wins: on Bitcoin, 0 of 8 pre-registered Weis-event transfer tests confirmed, and gold and Ether showed reversed signatures under the same frozen test protocol. Small honest numbers beat large unverifiable ones.

The latest levels, side by side

Every ticker carrying a gamma estimate — 43 of them. Front expiration for max pain. The last column places the last price against the two levels: 12 sit above both, 13 between them, 12 below both, and 6 carry an em dash because at least one of the three inputs that placement needs (last price, max pain, gamma flip) is missing. Those counts are one night's arrangement, recounted on every build — not a base rate, and not something we have tracked over time. Each row is recomputed nightly from end-of-day open interest, and each carries its own settlement date: the rows below settled on 2026-09-03.

All tickers, including those with no GEX estimate

Common questions

What is the difference between max pain and gamma exposure?

Max pain names a price: the settlement level at which the total payout to option holders would be smallest, calculated from open interest across the chain. Gamma exposure describes a behaviour: how dealer hedging is estimated to react as price moves, which produces a regime label rather than a target. Max pain is about one moment, expiration day. Gamma exposure is about every day between now and then.

Which is more useful, max pain or GEX?

They answer different questions, so neither replaces the other. Gamma exposure describes the hedging regime the model estimates for every session between now and expiry. Max pain describes one moment, expiration. The expiration-day clustering research (Ni, Pearson and Poteshman, 2005) is about individual heavy strikes, not about max pain, and we have not measured max pain hit rates ourselves. Both are descriptions of positioning, and neither is a signal.

What does it mean when max pain and the gamma flip disagree?

A disagreement means the chain is holding two different kinds of pressure. For example, max pain can sit below the current price while the gamma flip sits above it — meaning the expiry payout balance is lower down, while the day-to-day hedging regime is currently the amplifying kind. That is not a contradiction to resolve; it is a reminder that the two numbers measure different things and that neither is forecasting a direction.

Can you trade a max pain and GEX combination?

Not on its own, and nothing on this site suggests you should. Both numbers come from yesterday's settled open interest, both rest on assumptions that are known to be rough, and neither has an established edge as an entry rule. They are context for what is sitting in the chain — which prices are crowded, and which hedging regime the model estimates — and context is not a trade.

Read next

If either concept is still fuzzy, both guides work the maths through by hand: what is max pain on a five-strike example, and what is gamma exposure from one option and one hedge. The guides index lists everything.

All levels here are derived metrics computed nightly from end-of-day open interest — not raw market data, not live quotes (how we compute them). Educational only: not investment advice, not a recommendation, not a price forecast.