Short squeeze vs long squeeze in crypto: how they unfold
How short squeezes and long squeezes work in crypto derivatives: the role of liquidations, stop orders and funding, and how each squeeze shows in the data.
On this page
A short squeeze is a rise that forces short positions to close, and their closing orders push the price up further; a long squeeze is the mirror image, a fall that forces longs out and pushes the price down further. Both run on the same three fuels in crypto derivatives: liquidations, stop orders and the cost of holding the crowded side, which is funding.
This guide explains the mechanics of each squeeze, what lets one run far, and how a squeeze looks in liquidation, funding and positioning data.
The two squeezes side by side
| Short squeeze | Long squeeze | |
|---|---|---|
| Direction of the move | Up | Down |
| Positions forced out | Shorts | Longs |
| Side of the book their orders hit | Asks | Bids |
| Liquidations in the data | Short liquidations dominate | Long liquidations dominate |
| Typical funding beforehand | Negative, shorts paying | Positive, longs paying |
The word "squeeze" describes the forced part of the move. A price rise in which shorts close voluntarily, without margin pressure and without stops being hit, is just a rise. It becomes a squeeze when positions are closed because they have to be, and those closes add to the move that caused them.
Fuel one: liquidations
Every leveraged position has a liquidation price. When the mark price reaches it, the exchange closes the position. On Hyperliquid this starts with market orders for the full size, sent to the order book.1
For a short, that closing order trades against the asks, in the same direction as the rise. For a long, it trades against the bids, in the same direction as the fall. A crowd of shorts with liquidation prices stacked just above the current price is therefore a source of forced upward orders, and a crowd of longs stacked just below is a source of forced downward ones. When one round of liquidations moves the price into the next group of liquidation prices, the squeeze becomes a chain of forced orders running from one liquidation cluster to the next.
Fuel two: stop orders
Not every trader waits for liquidation. Many place stop orders that close the position at a chosen price. A stop rests until the mark price reaches its trigger and then becomes a market order, or a limit order if the trader chose one.2 Stops of shorts usually sit above the price, stops of longs below it.
Stops behave like voluntary liquidations: once triggered, they push in the direction of the move. A dense group of stops at one price can therefore add to a squeeze in the same way as a liquidation cluster. On Hyperliquid, open trigger orders are public per wallet, and our whale stops page maps where the largest tracked wallets keep theirs.
Fuel three: funding
Funding does not force anyone out at once, but it decides what it costs to stay. When the perpetual trades above the oracle price, funding is positive and longs pay shorts; when it trades below, funding is negative and shorts pay longs.3 Hyperliquid pays funding every hour and caps it at 0.5% per hour.3
A crowded side often shows up in funding. When shorts are the side pressing the market, the perpetual trades below the oracle price, funding turns negative and the shorts pay every hour to keep their positions. Holding a position that loses money on the price and pays funding at the same time is expensive, and that pressure thins out the crowded side's patience when the price moves against it. The mirror image holds for crowded longs with high positive funding.
Funding extremes often appear next to crowded positioning on the long/short ratio. That makes them useful context. It does not make them a timer: crowded positioning and extreme funding can both persist for a long time before anything is forced.
How a squeeze shows up in the data
A squeeze leaves a recognisable footprint across several pages:
- One-sided liquidations. On our liquidations page, a short squeeze appears as an hour in which short liquidations dominate, often on several venues at once. Long liquidations dominate when the price fell quickly.
- Falling open interest during the move. Each forced close reduces open interest. A rise with falling open interest is consistent with shorts being closed; a rise with rising open interest means new positions were opened into it.
- Funding resetting. After the crowded side has been forced out, funding usually moves back towards the baseline. The funding page shows the current rate per venue and the predicted rate for the next funding time.
- Heatmap bands disappearing. On the liquidation heatmap of the coin, the short (or long) bands the price ran through vanish from one column to the next. How to read those bands is covered in how to read a liquidation heatmap.
What a squeeze needs, and why most crowded markets never squeeze
A large squeeze needs three ingredients at the same time:
- A crowded side, visible as one-sided positioning and funding.
- Forced exits close to the price, visible as liquidation prices and stops stacked a short distance away.
- Thin liquidity on the other side of the book, so that forced orders move the price instead of being absorbed.
Many markets have the first ingredient for weeks without the other two. Positioning that is crowded but carries low leverage has its liquidation prices far away. Liquidation prices close to the price can be absorbed by a deep book. And the holders of a crowded side often reduce their own risk gradually, which removes the fuel before anything is triggered.
Limits of the data
- Positioning is not a forecast. Crowded shorts, negative funding and stacked liquidation prices describe the market as it is. They do not say when, or whether, a squeeze happens.
- Exchange liquidations are a lower bound. Centralised exchanges publish only part of their liquidations, so reported squeeze sizes there are smaller than the real ones.
- Tracked wallets on Hyperliquid. Our positions and stops on Hyperliquid, and our real-time Hyperliquid liquidations, cover the wallets we track; untracked positions are missing from that picture. Liquidations of every other account come in later, from the hourly files of Hyperliquid's official archive.
Sources
- Hyperliquid Docs, "Liquidations": https://hyperliquid.gitbook.io/hyperliquid-docs/trading/liquidations (accessed 2026-11-05)Back to text
- Hyperliquid Docs, "Take profit and stop loss orders (TP/SL)": https://hyperliquid.gitbook.io/hyperliquid-docs/trading/take-profit-and-stop-loss-orders-tp-sl (accessed 2026-11-05)Back to text
- Hyperliquid Docs, "Funding": https://hyperliquid.gitbook.io/hyperliquid-docs/trading/funding (accessed 2026-11-05)Back to text
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