Gamma squeeze statistics suggest true MOASS events may be far rarer than many retail traders believe. Reported short interest above 100% of float has occurred only about 15 times in 10 years, according to Goldman Sachs Global Investment Research, highlighting how uncommon the structural conditions for a historic squeeze may be.
A gamma squeeze can drive explosive price moves, but the data suggests true “MOASS” events are far rarer than social media narratives often imply.
While traders often use terms like gamma squeeze, short squeeze, and MOASS interchangeably, they describe different mechanics… and misunderstanding those differences can lead to poor decisions.
Much of the fascination comes from outlier events like the GameStop (GME) short squeeze, the Carvana (CVNA) squeeze, and more recent interest around the Avis Budget Group (CAR) and Allbirds (BIRD) short squeeze.
These massive historical short squeezes have attracted the attention of millions of new, developing traders over the years, thanks to viral influencers like Roaring Kitty and Ryan Cohen.
But if you ask me, that’s scary! History suggests these are exceptions, not repeatable norms.
And the data shows us that, while gamma short squeezes do happen, and they can be incredibly profitable, they also destroy a lot of developing traders in the process.
👉Trader insight: While no study isolates “gamma squeeze chasers” specifically, the evidence suggests many developing traders who chase parabolic moves may be fighting poor odds. Studies have found 70%–90% of active retail traders lose money, one analysis found 82% risk of loss, and research on retail buying pressure shows late crowd participation is often associated with short-term reversals.
Key Gamma Squeeze Statistics
- In the famous GME short squeeze, short interest reportedly reached roughly 123% of float, a condition so extreme it has been described as highly unusual.
- Goldman Sachs reportedly found short interest above 100% of float had occurred only 15 times in 10 years, highlighting how rare true structural squeeze setups may be.
- Short interest >100% does not automatically lead to a major squeeze.
- In 8 of 14 similar cases where short interest surpassed, the >100% figure may have been partly a float denominator issue (very small tradable float), not necessarily a setup that produced a squeeze.
- The SEC’s 2021 GameStop staff report stated it did not find evidence of a gamma squeeze in the available GME data, despite popular belief.
- According to Cboe Global Markets, 0DTE options grew from roughly 5% of SPX options volume in 2016 to more than 40% in recent years, increasing attention on dealer hedging flows.
- One large-scale behavioral study examined 28.5 million trades from 81,300 traders and found strong evidence of loss aversion and risk-seeking behavior consistent with Prospect Theory.
- Academic research found surges in Reddit discussion often preceded spikes in trading volume during the GME episode.
- Many suspected squeezes reverse violently… meaning chasing late often carries asymmetric downside risk.
- A study found stocks with the highest retail buying pressure showed 0.659% greater next-month reversal losses versus the lowest buying-pressure group, supporting the idea that crowd chasing can lead to poor entries.
- The same research found reversal profits (meaning losses for chasers) were -1.95% per month in the lowest-priced speculative stocks versus -0.319% in the highest-priced group.
What Is A Gamma Squeeze?
A gamma squeeze is basically a feedback loop where rising call-option hedging forces incremental stock buying, which can push prices higher and trigger further hedging.
When high levels of short interest and retail trading get involved, that options-buying can amplify a stock’s price rise, sometimes creating parabolic price action in a very short period of time.
Here’s the mechanism:
- Traders buy large numbers of call options.
- Market makers who sell those calls often hedge by buying the underlying stock.
- As the stock rises, the option’s delta increases, which may force dealers to buy even more shares to stay hedged.
- That additional buying can push the stock higher still.
That reflexive process is what traders call a gamma squeeze.
Gamma Squeeze Example
Probability to most famous example of a MOASS was the GME event.
During the GME short squeeze, reported short interest reached about 123% of float, an exceptionally rare condition. Goldman Sachs reportedly found short interest above 100% of float occurred only 15 times in 10 years, which lead to a massive amount of retail buying and short covering in a short period.
Here’s a more illustrative example of how a gamma squeeze works.
For example, 50,000 call contracts control 5 million shares. If dealer hedging needs rise from a 0.30 delta to 0.70 delta, required hedges could increase by roughly 2 million shares, potentially adding substantial incremental buying pressure.
That shows why squeezes can accelerate quickly. When you add in a stock that already has high short interest, improving fundamentals, or other bullish catalyst, this can even move the price much higher, FAST!
Why it’s called “gamma”
Gamma measures how quickly an option’s delta changes as price moves. High gamma can mean hedge requirements change rapidly… and that’s where squeeze dynamics can emerge.
There is some real science behind why these setups can cause such precipitous price rises. But research suggests true, large-scale reflexive squeezes appear uncommon, even when call activity is elevated.
Heavy call buying does not automatically cause a gamma squeeze. In fact, most situations where a stock sees heavy call buys does NOT lead to a true gamma squeeze.
Usually you also need several ingredients together:
- Unusual call volume
- Small float and constrained liquidity
- Strong momentum
- Sometimes elevated short interest
- Dealer positioning that can actually reinforce moves
That stack is rare.
How to Spot a Potential Gamma Squeeze
No method is reliable, but traders often watch for measurable signals that may improve the odds of a gamma-driven move. Some common data points include:
- Call volume surging 2x to 5x above normal, especially when concentrated in near-dated strikes
- Large open interest clusters at key strike prices, sometimes involving tens of thousands of contracts
- Relative volume above 2.0 or 3.0, signaling unusually strong participation
- Short interest above 20% of float, with some traders watching 30%+ as more extreme territory
- Small or tight floats, where forced buying may have greater impact
- Breakouts through major resistance levels, particularly when accompanied by accelerating volume
- Rapid shifts in dealer gamma exposure, where hedging demand may increase as price moves through key option strikes
Some traders also monitor 0DTE options flows, especially since these contracts have grown from roughly 5% of SPX options volume in 2016 to more than 40% in recent years, increasing attention on intraday dealer hedging dynamics.
Still, these signals may improve probabilities… not guarantee outcomes.
Many stocks show one or two of these characteristics and never produce a true gamma squeeze.
The strongest setups tend to involve multiple conditions aligning at once, not a single indicator flashing.
How Rare Is a True MOASS?
Far rarer than many retail traders believe.
During the GME short squeeze, reported short interest reached roughly 123% of float. Meanwhile Goldman Sachs found short interest above 100% of float occurred only 15 times in 10 years, suggesting even the structural foundation for a true MOASS is rare.
But the thing is, even extreme short interest alone is not usually enough to cause a gamma squeeze. Some analysis suggests 8 of 14 similar cases (where short interest exceeded 100%), did not become historic squeeze events.
In fact, while early buyers, long-term holders and hedge funds often benefit from these events, most traders get crushed in the process… Because retail traders don’t react to news immediately, they often end up chasing gamma-squeeze events rather than participating in the initial move.
From momentum execution research covering 1.6 million trades worth $1.1 trillion, researchers found trend-chasing strategies often faced implementation costs large enough to erase reported momentum profits.
While the GameStop short squeeze is one of the most well-known events, there have been many other viral gamma events in recent history.
For example, the BBBY short squeeze peaked in August 2022, when shares surged from roughly $5–$6 in late July to over $28 intraday on August 17, a move of about 400%–440% in less than a month, fueled by heavy retail speculation, roughly 47% short interest, and excitement around Ryan Cohen’s disclosed call options with $60–$80 strike prices.
But the squeeze unraveled almost as quickly as it formed when Cohen abruptly sold his entire stake on August 16–17, reportedly locking in about $60 million in profit, triggering what many retail traders viewed as a “rug pull.”
After news of the sale emerged, BBBY plunged more than 40% in after-hours trading, fell roughly 45% on the news, and collapsed from its highs to around $8.78 within days, inflicting heavy losses on late entrants who chased MOASS-style narratives rather than recognizing how quickly squeeze dynamics can reverse.
This explains how chasing often kills edge. The bigger risk in squeezes is not failing to spot them… it’s becoming the late liquidity for earlier entrants.
Has a Gamma Squeeze Ever Happened?
Yes… there have been many large-scale short squeeze events in history that may be classified as gamma squeezes.
But confirmed, pure gamma squeezes appear less common than many traders assume.
In fact, the U.S. Securities and Exchange Commission’s 2021 GameStop report did not conclude dealer gamma hedging was the primary driver of the GME event, underscoring how often popular squeeze narratives may oversimplify what actually occurred.
Many fast momentum moves get labeled “gamma squeezes” when they may simply be:
- Short covering
- Momentum breakouts
- Dealer hedging noise
- Social-media-driven speculation
- Ordinary volatility expansion
Even with GameStop, there is debate over how much was short covering versus gamma effects. Some research suggests both likely played a role… but the SEC’s own report pushed back against the strongest claims of a gamma squeeze.
That alone should make traders skeptical of every “MOASS incoming” narrative.
Why Are Traders So Attracted to MOASS Narratives?
This is where trading psychology matters. It is not just greed. It is partly lottery preference. It’s partly naivety. And it’s partly just human nature to chase high-risk events with massive pay-offs.
Behavioral finance has long shown people often overpay for small probabilities of huge payoffs. Think of gamblers at a casino. Or the way some traders treat the stock market like a casino.
This tendency also aligns with behavioral finance research. Barber and Odean found active trading often hurts returns, while Prospect Theory helps explain why traders may chase low-probability “jackpot” outcomes like MOASS narratives.
The appeal for new traders to seek out short squeezes and gamma squeeze often combines:
- Asymmetric Jackpot Thinking: A trader imagines turning $2,000 into $200,000. Even if odds are poor… the payoff fantasy dominates.
- Social Proof and Crowd Reinforcement: Research on the GME event suggests online engagement itself may have reinforced retail trader participation. When thousands repeat “MOASS is inevitable” on social media, perceived probability can become distorted.
- Prospect Theory: When traders are down money, they often become more willing to chase low-probability rescue outcomes. That is classic risk-seeking in losses.
- Availability Bias: People remember GameStop. They do not remember the hundreds of heavily shorted names that never squeezed. That creates a false sense of frequency.
Gamma Squeeze vs. Short Squeeze
A gamma squeeze is typically linked to options dealer hedging. When traders aggressively buy call options, market makers may buy shares to hedge exposure.
A short squeeze, by contrast, is driven more directly by short sellers covering positions. If a heavily shorted stock rises sharply, losses on short positions can force buying.
They can overlap… and that is often where the most violent moves emerge.
For example, a stock with 30%+ short interest, heavy call speculation, and a tight float may face both dealer hedging demand and forced short covering at the same time.
That overlap can create powerful upside. But they are not identical.
A stock can experience a gamma-driven move with little short covering… and a short squeeze can happen without major options-driven feedback.
That distinction matters because many traders mistake ordinary momentum rallies for “gamma squeezes,” or assume all heavily shorted stocks are one catalyst away from a MOASS.
What Is a Delta Squeeze vs. a Gamma Squeeze?
A delta squeeze and gamma squeeze are related, but they are not the same.
A delta squeeze generally refers to buying pressure caused by dealers adjusting hedge positions as option deltas change. If dealers are short calls and need to maintain a delta-neutral hedge, rising prices may force incremental share purchases.
A gamma squeeze is more specific… it refers to what happens when those hedge requirements accelerate.
Delta measures directional exposure.
Δ=∂S∂V
Gamma measures how fast delta changes.
Γ=∂S∂Δ
That difference matters. If delta rises gradually, hedge adjustments may be manageable. If gamma is high, hedge needs can change rapidly… which is where feedback loops may form.
Using the earlier example, moving from 0.30 delta to 0.70 delta could force dealers to buy 2 million additional shares. That acceleration is what traders typically mean by a gamma squeeze.
Put simply:
- Delta relates to hedge positioning.
- Gamma relates to how fast that hedge requirement changes.
Gamma is often what can turn ordinary hedging into a reflexive squeeze dynamic.
What Are the Risks of a Gamma Squeeze?
This is the part traders underweight. Risks include:
- Violent reversals
- Liquidity gaps
- Implied volatility collapse
- Late-entry losses
- False squeeze signals
- Extreme slippage
- Getting trapped in crowd narratives
In my experience reviewing momentum trades, the late chase is often where edge disappears.
How Often Do Gamma Squeezes Happen? – What the Data Says
The evidence suggests gamma squeezes are real… but rare. The evidence we’ve found here also suggests MOASS narratives are often exaggerated. And that these events often destroy more developing traders than anything else.
That may be the most important statistic of all. The big lesson for traders may not be trying to predict the next squeeze…
It may be understanding how unusual these setups truly are. And avoiding confusing outliers with a repeatable strategy.
If you want to go deeper:
- Explore the Trading Statistics Hub to understand how different sectors behave across market cycles
- Study real setups inside the Trade Reviews section
- Learn the framework behind high-probability setups in the Post-Earnings Momentum Strategy
This is how you turn raw market data into repeatable trading edge.
Frequently Asked Questions – Gamma Squeeze Statistics
What is a gamma squeeze?
A gamma squeeze happens when heavy call option buying may force market makers to buy shares to hedge exposure, potentially creating a feedback loop that pushes prices higher. For example, 50,000 call contracts control 5 million shares, and if delta rises sharply, dealer hedging demand can increase significantly.
How rare is a true MOASS?
Evidence suggests true MOASS events are exceptionally rare. Goldman Sachs reportedly found short interest above 100% of float occurred only 15 times in 10 years, while many heavily shorted stocks never produced historic squeeze outcomes. That suggests the structural conditions for a true “mother of all short squeezes” are unusual.
What is the difference between a gamma squeeze and a short squeeze?
A gamma squeeze is typically linked to dealer hedging driven by options activity, while a short squeeze is driven by short sellers buying back shares to cover losses. They can overlap, but they are not the same. During the GME short squeeze, both dynamics were widely debated.
Has a gamma squeeze ever happened?
Yes, though pure gamma squeezes may be less common than many traders assume. Some market observers cite events involving GameStop, Carvana, and Allbirds as examples involving possible gamma-driven dynamics, though evidence suggests many popularly labeled “gamma squeezes” also involved ordinary momentum or short covering.
How can traders spot a potential gamma squeeze?
No signal guarantees a squeeze, but traders often monitor call volume 2x to 5x above normal, relative volume above 2.0, short interest above 20% of float, large open interest concentrations, and unusual 0DTE options activity. The strongest setups often involve multiple signals appearing together.
What is the difference between a delta squeeze and a gamma squeeze?
A delta squeeze generally refers to buying pressure from dealers adjusting hedge positions, while a gamma squeeze refers to accelerating hedge demand as delta changes rapidly. Put simply… delta relates to hedge positioning, while gamma relates to how fast hedge requirements change.
Why do so many traders lose money chasing short squeezes?
Buying late can be dangerous. Research has found 93% of individual equity derivatives traders lost money in one major study, while behavioral finance research shows traders often become risk-seeking after losses. Late crowd participation often carries elevated reversal risk.
What are the risks of a gamma squeeze?
Risks include violent reversals, slippage, liquidity gaps, implied volatility collapse, and false squeeze signals. Many suspected squeezes reverse sharply after momentum or options-driven flows fade, which can punish late entrants.
Is every heavily shorted stock a potential MOASS candidate?
No. High short interest alone is not enough. A true MOASS often requires multiple rare conditions… such as extreme short interest, heavy call speculation, tight float dynamics, dealer hedging feedback, and broad speculative participation. That stack is uncommon.
What is the biggest lesson traders should take from gamma squeeze statistics?
The data suggests true squeeze outliers are rare, while late chasing is common and often costly. For many traders, understanding how unusual these setups are may be more valuable than trying to predict the next one.
Sources
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