Crypto liquidations: how forced selling feeds a crash
The essentials in 30 seconds
- Crypto liquidations are forced closings of leveraged positions, and the forced selling they create can turn a dip into a crash.
- A 10x position loses its margin after a 10% fall, before fees.
- Perpetual futures have no expiry date, so leverage can build quietly for weeks.
- Each exchange runs its own liquidation engine, so rules differ by venue.
- EQOS Asia offers a 30-minute pre-diagnostic to decision makers in Singapore, ASEAN, and Hong Kong.
Crypto liquidations are forced closings of leveraged positions, and they explain why a fall in prices can turn into a crash within hours. This guide, part of the series on what a crypto crash is, shows how a liquidation works, how forced selling spreads from one position to the whole market, and what a reader can track as of October 2026. 3 detailed pages follow: the definition, the heatmap, and perpetual futures.
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What are crypto liquidations and why do they matter in a crash?
A liquidation happens when an exchange closes a trader’s leveraged position because the collateral no longer covers the loss. The exchange’s rules pick the moment, and the closing order is a market order, so it sells into the book at whatever price is available. One position is small, yet thousands closing together become forced selling that moves the price.
This is why liquidations matter even to holders who never borrowed. Forced selling ignores price: the seller must sell. In a calm market the order book absorbs it. In a falling market the book is thin, so each forced sale pushes the price lower and brings the next group of positions closer to its own limit.
When does an exchange liquidate a leveraged crypto position?
Each leveraged account holds margin, the collateral that backs the borrowed exposure. The exchange sets a maintenance level, and when the price moves against the trader and the margin falls to that level, the exchange closes part or all of the position. The page on what liquidation in crypto means walks through the trigger price, the fees, and partial versus full closing.
Margin mode changes the picture. With isolated margin, only the collateral assigned to one position is at risk. With cross margin, the whole account balance backs every position, so one loss can pull down the others. As a simple illustration, before fees and maintenance rules, a 2x long position loses its margin after a 50% fall, a 5x position after 20%, a 10x position after 10%, and a 20x position after 5%.
How does forced selling turn a fall into a crypto crash?
The cascade follows a fixed order. A price fall pushes the most leveraged positions to their limit. Their forced sales add supply, which lowers the price further. The lower price pushes the next group to its limit, and the loop repeats. Each round feeds the next, so a modest dip can become a deep drop before ordinary buyers react.
A cascade has an end. It stops when positions near the limit run out, when buyers step in at the lower price, or when an exchange pauses trading. Readers see the end as a long red candle followed by a bounce. The depth of the fall depends on how much leverage sat in the market before the first push, so leverage data is the first item analysts check.
Why do perpetual futures amplify crypto liquidations?
Perpetual futures are one way to take leverage in crypto. These contracts have no expiry date, so a trader can keep a position open for weeks as long as the margin holds, and a funding rate keeps the contract close to the spot price. Because the contract never expires, leverage can stay in the market for a long time and build up quietly.
The guide on perpetual futures and the crypto crash covers funding rates, open interest, and the way crowded positioning raises the odds of a cascade. Open interest counts the contracts still open, and a sharp rise before a fall tells you that leverage has grown. This page keeps to the link between those contracts and forced selling.
Can a heatmap show where crypto liquidations may cluster?
A liquidation heatmap estimates the price levels where many leveraged positions would close. Bright bands mark levels with a large estimated amount of leverage, and traders treat those bands as magnets, since a price that reaches a band triggers forced orders. The map gives a picture of where the fuel for a cascade may sit above and below the current price.
Estimates carry error, because exchanges publish only part of the data and each provider guesses margin settings. The guide to a crypto liquidation heatmap explains how to read the colours, which inputs differ between providers, and why a map works best as one input among several. Treat bands as areas of interest and keep the forecast open.
Which conditions make crypto liquidations cluster in a crash?
4 conditions raise the odds of a wave. Leverage is high across many accounts. Positions are crowded on one side, for example most traders are long. Order books are thin, so each sale moves the price more. Collateral is itself volatile, so a falling coin lowers the value of the margin that backs the position at the same moment.
These conditions overlap with other crash mechanics. Thin books connect to liquidity, crowded positions connect to sentiment, and volatile collateral connects to contagion between lenders. For the full list of drivers and the history of past events, return to the pillar page on the crypto crash, which routes you to each topic in turn.
What can a reader do about crypto liquidations?
A reader cannot stop a cascade, but can set up for one. Check whether your own accounts use leverage and which margin mode they run. Keep spare collateral so a swing does not force a closing. Note which venues you use, since each has its own liquidation engine and its own rules for pausing trading during stress.
Teams that want to place these checks inside a wider risk review can use the EQOS Asia pricing page to see the options, or book a 30-minute pre-diagnostic. This page is general information, not investment advice, and reflects the situation as of October 2026.
See also in this guide
Frequently asked questions
What are crypto liquidations?
Crypto liquidations are forced closings of leveraged positions. When the collateral behind a position no longer covers the loss, the exchange sells the position at market. One closing is small, but many closings at once add supply and push the price down, which is why liquidations feed a crash.
Can liquidations cause a crypto crash on their own?
Liquidations rarely start a fall, yet they widen it. A first push comes from news, a large sale, or a loss of confidence. Forced selling then adds supply at the worst moment, and the amount of leverage already in the market sets how deep the fall goes.
How can I tell that leverage has built up?
Analysts watch open interest, funding rates, and liquidation heatmaps. A sharp rise in open interest and high funding costs suggest that many traders hold leveraged positions on the same side. Each signal has error, so readers use several together and confirm them against price action.
Do liquidations affect people who never use leverage?
Yes, through the price. Forced orders sell into thin books, so the price of a coin falls for every holder, leveraged or not. Holders without borrowing keep control of their position, but their portfolio value still follows the market down during a cascade.
Test your knowledge
1. What is a crypto liquidation?
- A forced closing of a leveraged position
- A planned sale by a long-term holder
- A change in token supply
Show the answer
A forced closing of a leveraged position.
2. Why does forced selling deepen a fall?
- It lowers exchange fees
- It adds supply into thin order books
- It pauses all trading
Show the answer
It adds supply into thin order books.
3. Which fall erases the margin of a 10x long position, before fees?
- 50%
- 20%
- 10%
Show the answer
10%.
4. What do perpetual futures lack?
- A funding rate
- An expiry date
- A margin requirement
Show the answer
An expiry date.
5. How should a reader treat the bands of a liquidation heatmap?
- As exact forecasts
- As areas of interest backed by estimates
- As official exchange data
Show the answer
As areas of interest backed by estimates.
About the author
Stéphane Jambu
President, EQOS Forecast Asia
Stéphane Jambu leads EQOS Forecast Asia and works as a consultant in e-commerce, search visibility, and AI. LinkedIn profile
Sources: EQOS Asia pricing page (eqos-asia.com/pricing.html), consulted on 23 October 2026. Page updated on 23 October 2026.