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If you have spent any time reading about gamma exposure or max pain, almost everything you have read was probably about indices. SPY. SPX. QQQ. Maybe NDX. That makes sense, because index options are where dealer hedging is most visible and most stable. But the moment you apply the same playbook to a single ticker like AMD or NFLX, things get strange.
The gamma walls are weaker. The flip point jumps around. Max pain sometimes pins beautifully and sometimes does not pin at all. Earnings reshape the entire surface in a single afternoon. And the same level that acted as a textbook call wall on Monday can be gone by Wednesday because half the open interest closed out.
This is not because the theory is wrong. It is because single-stock options behave differently from index options at almost every layer of market microstructure. This guide walks through why that is, and then breaks down the typical gamma and max pain character of seven of the most actively traded single-stock options names on the US market: AMD, NVDA, NFLX, META, MU, TSLA, and AAPL.
Everywhere this article describes a ticker's "character," that is a pattern, not a current value. For live GEX, walls, flip, and max pain for any name, use the GEX tool or the per-ticker hub at /stock/{ticker}.
Why Single-Stock GEX Behaves Differently
Index gamma exposure is, in a sense, a smoothed-out average of thousands of underlying stocks plus an enormous, professionally hedged options book. SPY and SPX have deep open interest at every strike from far out-of-the-money puts to far out-of-the-money calls. Dealers in those markets carry large, slowly rotating books and hedge continuously. The result is the relatively clean GEX charts you see in most educational material.
Single names lose almost every one of those properties.
Open Interest Density
The amount of open option contracts concentrated at each strike. Indices have dense OI across many strikes and many expirations. Most single stocks have OI clustered at a few round-number strikes and a handful of expirations, which makes the resulting GEX shape lumpier and more dependent on a small number of large positions.
Idiosyncratic Risk
Single-stock risk that is not explained by the broader market. Earnings, product launches, regulatory actions, M&A, and analyst calls all move single names in ways indices smooth out. Each of these events can re-shape the option surface, GEX, and max pain almost overnight.
The practical consequences are large. Three matter most.
1. Walls are weaker and more variable
Because OI is concentrated at fewer strikes, the call wall and put wall for a single name often sit at obvious round numbers ($100, $150, $200) rather than at the precise levels where dealer hedging is most intense. When a wall is real, it can be powerful. When it is only there because retail likes round numbers, price often slides right through it.
2. Dealer hedging is choppier
For SPY and SPX, dealers carry such large books that their hedging is effectively continuous. For a mid-cap single name, the dealer book is smaller, more concentrated in a few large customer positions, and more sensitive to a single sizeable trade. A block of 5,000 calls hitting the tape on AMD or MU genuinely shifts the local gamma profile in a way the same trade on SPY would not.
3. Single-name GEX is heavily weekly-driven
Most single-name retail flow now lives in weekly options. Open interest builds Monday and Tuesday, peaks Wednesday and Thursday, and largely vanishes by Friday close. That means single-stock GEX has a strong day-of-week rhythm that index GEX does not. Monday morning gamma on AMD looks almost nothing like Thursday afternoon gamma on the same ticker.
Index GEX (SPY, SPX, QQQ)
Deep open interest at hundreds of strikes
Large, professional dealer books
Continuous, smooth hedging
Gamma flip evolves slowly
Walls are usually robust support and resistance
0DTE and weekly flows blend into a deep book
Single-Stock GEX (AMD, NFLX, MU...)
OI clustered at round-number strikes
Smaller, less-diversified dealer books
Choppy, position-driven hedging
Gamma flip can jump with a single block trade
Walls can disappear inside a single session
Weekly options dominate intra-week dynamics
None of this means single-stock GEX is useless. It means you have to read it differently than you read SPY. Treat single-name walls as zones of likely friction, not as exact price targets, and always check whether the wall is supported by real OI or is just the nearest round number.
Max Pain in Single Names vs Indices
Max pain is the strike price at which the largest total dollar value of options expires worthless. For a deeper treatment of the math, see our complete max pain guide. The short version: if you sum up the dollar value of all calls plus all puts at every strike, the strike where that combined open-interest value is smallest is max pain. The folklore is that price gravitates toward this strike into expiration.
Here is the honest version: indices like SPY and SPX pin more reliably than single names on average, because indices lack the idiosyncratic shocks that single names face every quarter. Earnings, analyst calls, FDA decisions, and product launches routinely blow up single-name pins. But in quiet OPEX weeks with no catalysts, single-name pins can be tighter than index pins because the OI is more concentrated.
Max Pain
The expiration strike at which the total dollar value of all expiring calls and puts is minimized. In practice it represents the price level least favorable to option buyers in aggregate, and the level dealers benefit most from price drifting toward.
The single-name pin pattern, when it works, works for three reasons.
First, single-name OI is more concentrated at fewer strikes. That means the max pain calculation is dominated by a few large positions, and dealer hedging incentives are pointed at a smaller set of round numbers. When most of the open interest at a name sits at $150 and $160, "between $150 and $160" is a much narrower attractor than the diffuse pin zone you would see on SPY.
Second, dealer hedging is meaningful relative to a single stock's daily flow in a way it usually is not for SPX. Large blocks of single-name delta hedging into expiration leave clear footprints on the tape, while the equivalent in an index gets absorbed by the broader flow.
Third, with weeklies dominating, much of the OI that drives single-name max pain is genuinely going to zero on Friday. By Thursday afternoon, the gamma at the max pain strike is enormous relative to the rest of the chain, and dealer hedging gets very directional toward that strike.
Critically, single-name pins are conditional. They work in quiet OPEX weeks. They fail reliably on earnings weeks, Fed weeks, and major catalyst weeks. Always check the catalyst calendar before sizing any trade around a single-name max pain pin. The index pin is more forgiving because the underlying does not have a four-times-a-year binary event.
The sections below describe the typical character of GEX and max pain behavior for each ticker. None of the descriptions reference a current price, current GEX value, or current max pain strike. For live data, follow the per-ticker link at the end of each section.
AMD
AMD is one of the most retail-loved options names in the market. Open interest is heavy in short-dated calls, especially during the semiconductor cycle's hot phases, and the put side tends to be lighter than you might expect for a stock with AMD's volatility profile. The result is GEX that often leans positive but is unusually fragile around earnings and around major NVDA-driven semiconductor moves.
Walls on AMD frequently form at obvious round numbers ($150, $160, $180, $200), which makes them double-edged. When the round number coincides with a genuine OI cluster, the wall is sticky. When it is just retail anchoring, price tends to slice through it. Max pain on AMD pins reasonably well during quiet monthly OPEX weeks, but earnings reliably blow the pin apart.
NVDA is the dominant single-name in the entire US options market right now. The open interest is massive, with extremely heavy upside call demand that reshapes the gamma profile on a near-continuous basis. Dealer books on NVDA are large enough that single-name gamma hedging is genuinely macro-relevant on big tape days.
NVDA's GEX character is asymmetric: walls on the call side tend to be enormous and frequently rebuilt at higher strikes as price drifts up, while the put side is comparatively thin. This makes the put wall less reliable as a support level than the call wall is as a magnet. Earnings on NVDA can move the entire surface, and the gamma flip can sit far above or below spot depending on positioning into the print.
NFLX is one of the most earnings-driven single-name option markets on the tape. Implied volatility expands and collapses around the four earnings reports each year in a way that dwarfs anything happening in the rest of the calendar. Open interest in NFLX is heavily concentrated in weeklies, with a strong post-earnings weekly that often carries an unusual share of the total gamma in the name.
Between earnings, NFLX GEX tends to be modest and the max pain pin is generally well-behaved into monthly OPEX. During the earnings week itself, GEX becomes nearly meaningless as a near-term level: the post-print gap routinely runs straight through walls and max pain alike, and dealers re-hedge over the following sessions rather than fight the move.
META is a megacap with one of the widest variance-of-earnings-reactions in the index. The October 2022 single-session collapse and the January 2024 single-session rip are extreme examples of a recurring pattern: a single sentence in the earnings release about ad-revenue trajectory or AI-capex spend can move the stock 15 to 20 percent in a session. The options market prices that asymmetry in, and dealer books reflect it.
The practical implication for META GEX: in quiet inter-earnings stretches, META's surface reads close to an index, with deep OI distribution and stable walls. Then the surface gets blown apart on the next print and rebuilds slowly over the following weeks. The contrast between quiet-week META and earnings-week META is more extreme than for AAPL or MSFT. Traders who treat META like a low-vol megacap during the wrong week get burned. Treat earnings season as a separate regime entirely.
MU (Micron) is the cleanest example of a deep-cyclical single-name in this group. The memory-chip cycle drives earnings outcomes that are several standard deviations apart from quarter to quarter, and the option market prices that uncertainty in. MU IV is consistently elevated, and OI concentrates around large round-number strikes more than most other names of its size.
GEX on MU is structurally noisier than on AMD or NVDA. The walls move around more, the flip is less stable, and the max pain pin into monthly OPEX is more reliable in non-earnings months than during the print itself. For traders interested in single-stock max pain as a signal, MU is often a good case study precisely because the contrast between earnings-week behavior and quiet-week behavior is so stark.
TSLA is the canonical retail-heavy single-name options market. Retail demand for short-dated upside calls is essentially constant, which means dealers are persistently writing those calls into the market. A short call carries negative gamma from the dealer's perspective, and TSLA's short-dated call inventory tends to dominate the rest of the chain. The structural consequence: TSLA carries a persistent negative GEX bias compared to other megacaps - not because dealers are short both sides, but because the call-side imbalance is so heavy that net dealer gamma stays negative.
That negative-gamma lean amplifies TSLA moves in both directions. Walls exist on TSLA but they break more often than they hold, and max pain pins less reliably than on lower-vol megacaps even outside earnings. TSLA is, in many ways, the opposite of AAPL in microstructure terms.
AAPL is the lowest-volatility megacap on the list and the only one with a multi-year share-buyback program that consistently supports the underlying. The combination of buyback bid, deep institutional ownership, and very large but professionally-managed dealer books produces a GEX surface that drifts slowly - walls hold for weeks rather than days, the gamma flip rarely moves more than a few dollars, and realized volatility undershoots implied for long stretches. On most days AAPL GEX is the closest single-name analog to an index chart that you will find.
The exceptions are concentrated and predictable: the September product cycle (iPhone launch and the surrounding pre-print drift) and the quarterly earnings release. Between those events, AAPL walls anchor on obvious price-psychology levels and max pain pins are tight. Around the September event window, IV expands and the GEX surface gets more sensitive to short-dated flow. For traders learning to read single-stock GEX without the chaos of TSLA, AAPL is the cleanest starting point in the corpus.
Across all of these names, the single most useful question is: "Is this name in or near an earnings cycle?" In single-stock GEX, earnings dominates almost every other consideration. Pin levels, walls, and the flip are all far more meaningful in quiet weeks than in event weeks.
OPEX Week Dynamics for Single Names
Index OPEX matters because of the sheer scale of expiring gamma. Single-stock OPEX matters for a different reason: because a much larger fraction of a single name's total open interest is concentrated in the monthly cycle. For many tickers, the third Friday of the month carries half or more of the name's open option contracts.
That concentration creates several effects worth knowing.
First, the call wall and put wall on a single-name monthly chain are usually the most meaningful levels of the entire month. Even if the same strikes look weaker on the next weekly, the monthly version of those walls genuinely matters because the OI is dramatically larger.
Second, the max pain pin into single-name OPEX is generally tighter than into single-name weeklies. The pin works best when there is no earnings event in the same week and no major macro print on the calendar.
Third, the post-OPEX Monday is often the most important single trading day of the month for single names. With the bulk of the monthly OI gone, the gamma stabilizers vanish almost overnight. Names that were range-bound for two weeks can suddenly trend, and names that were pinned at a round number can gap to find new equilibrium.
Be especially careful with single-name OPEX trades when earnings sit inside the same week. The combination of an event move plus the gamma unpin on Friday's close can produce two-sided risk that is materially larger than either factor would produce alone.
The honest answer is that single-stock GEX is most useful as a context layer, not as a stand-alone signal. Used well, it tells you what kind of week you are likely about to trade in a particular name. Used poorly, it gives you false confidence in exact price targets that the market never agreed to respect.
A reasonable workflow looks something like this.
Check the gamma regime for the name
Is net GEX positive or negative? Where is the gamma flip relative to spot? In positive gamma, expect more range-bound behavior. In negative gamma, expect bigger trending moves.
Identify the call wall and put wall
Confirm they are backed by real OI, not just round-number bias. Treat them as zones of likely friction, not as exact reversal points.
Check max pain into the next monthly expiration
If you are inside OPEX week and there is no major event on the calendar, max pain becomes a real attractor. If there is an earnings event, set max pain aside until after the print.
Map the catalyst calendar
Earnings, analyst days, FDA decisions, product launches. Any of these can invalidate the gamma map within a single session. Always know what is coming.
Size for the actual volatility regime
Negative-gamma single names move faster than negative-gamma indices. Position sizing should reflect realized volatility, not the calmer behavior you might see on SPY.
Used this way, single-stock GEX becomes a way of asking better questions about a name rather than a way of producing trade signals on autopilot.
How to Access Single-Stock GEX Data
FlashAlpha provides gamma exposure and max pain data for any optionable US stock or ETF through three surfaces.
The GEX tool is the interactive visualization. You can switch between tickers, see per-strike gamma, the call and put walls, the gamma flip, and net GEX updated throughout the trading day. It is built for traders who want a quick visual read without writing any code.
Per-ticker pages at /stock/{ticker} give you a single-name overview including current GEX levels, max pain, and historical context for that specific name. For example, /stock/amd, /stock/nflx, /stock/mu.
For developers and algo traders, the FlashAlpha API returns the same data as structured JSON for any US ticker. That includes net GEX, per-strike gamma, walls, the flip point, and max pain values across all listed expirations. You can plug it directly into your scanner, model, or trading bot.
FlashAlpha API
One endpoint, any US ticker. GEX, max pain, walls, flip point, and per-strike gamma across all listed expirations. See pricing or jump straight to the API overview.
Frequently Asked Questions
Yes, but conditionally. Indices pin more reliably on average because they lack the binary earnings shocks single names face four times a year. However, in quiet OPEX weeks with no catalysts, single-name pins can be tighter than index pins because the OI is more concentrated. Always check the catalyst calendar first.
Single names have lower open-interest density per strike, smaller dealer books, more idiosyncratic risk, and a much heavier reliance on weekly options. The result is choppier hedging, weaker and more variable walls, and a gamma flip that can jump on a single large trade. The same theoretical framework still applies, but levels move faster and are less robust.
AAPL and META, in that order. Both are mega-caps with deep, well-distributed open interest and large professional dealer books, so their GEX surfaces behave closer to indices than other single names. TSLA and NFLX are interesting but more volatile and event-driven, so they are easier to misread when you are still learning.
Yes. The FlashAlpha GEX tool and API cover every optionable US stock and ETF. For each ticker you get net GEX, per-strike gamma, the call and put walls, the gamma flip, and max pain across all listed expirations. See the GEX tool, the API documentation, or the per-ticker pages at /stock/{ticker}.
TSLA has unusually heavy retail demand for short-dated upside calls. Dealers writing those calls become persistently short calls (negative gamma from the dealer's view), and the call-side imbalance dominates the rest of the chain. Net dealer gamma stays negative, which means dealer hedging amplifies moves rather than dampens them.
