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Crypto liquidation explained: Why traders get liquidated and how to reduce the risk

If you’re a trader or have aspirations of becoming one, you’ve no doubt seen headlines like this one before:“$300 million in crypto liquidations in 24h” (and if you haven’t, do us a favor and Google it). Numbers like that are par for the course in volatile markets. So know that if you trade with leverage, even occasionally, you’re closer to that risk than you might think.

Because the truth is, liquidation is not a rare event. At all. Those headlines we mentioned? They happen on a weekly basis. In fact, liquidation is quite literally built into the structure of leveraged crypto markets. When the price moves against your position and your collateral can no longer support the trade, the exchange closes it automatically. No warning call. No negotiation. Just an instant exit and a near-total loss of the margin you posted.

This is why understanding liquidation matters, whether you trade occasionally or run complex derivatives strategies. But for some reason, the mechanics behind it often receive little attention. To counteract this issue (because it really is an issue for novice traders), and give you the practical how-to, we walk you through the full picture in this guide. So, how liquidation works, why it cascades through markets, and, perhaps most importantly, how you can structure trades so a normal market swing does not wipe out your position.

What liquidation exactly means in Crypto trading

Let’s cover the basics first: why does liquidation happen in the first place? Simply put, liquidation occurs when a leveraged position no longer has sufficient collateral to cover potential losses.

Because crypto derivatives exchanges allow you to control a larger position than your capital normally permits, this exposure amplifies both profits and losses. You open a leveraged trade by depositing margin, which acts as collateral. The exchange then provides additional exposure.

Here’s a simple example. You open a $10,000 BTC long position using 10× leverage.

Your own capital (margin): $1,000
Borrowed exposure: $9,000

If Bitcoin falls by about 10%, the loss approaches the value of your collateral. At that point, the exchange closes the position automatically. And this forced closure is the liquidation.

The system exists primarily to protect the exchange and other traders. If positions remained open while losses exceeded collateral, the platform would carry the financial risk. Which is obviously not what any platform wants.

Why liquidations exist in Crypto markets

Crypto markets operate differently from traditional finance in several ways. Most important ones being:

Trading runs 24 hours a day
Price volatility is extremely high
Many traders use significant leverage

Without automated liquidation systems, exchanges would face substantial credit risk. Again, this would benefit no platform.

So, they rely on a structured risk framework:

Initial margin requirements
Maintenance margin thresholds
Automated liquidation engines
Insurance funds to absorb extreme losses

According to the Bank for International Settlements, leveraged digital asset markets can amplify volatility through forced position unwinding during rapid price moves. Naturally, this can cause significant market disruptions, explaining why liquidation data often appears during major market swings.

And the numbers can get dramatic. Remember the cryptocurrency crash in 2021? In a single day, more than $8 billion in crypto positions were liquidated. Worse than this was October 2025, when over $19B were liquidated from the crypto market.

What should these events tell you? That liquidation is not some rare edge case in crypto derivatives markets; it is, in fact, a structural feature. Understanding how and why it happens often makes the difference between a manageable loss and a wiped-out trading account.

The key components behind liquidation

Understanding liquidation requires a closer look at how exchanges calculate risk.

1. Initial margin

Initial margin represents the minimum capital required to open a leveraged trade. Higher leverage lowers the required margin.

For example:

Leverage Margin Requirement

2× 50%
5× 20%
10× 10%
20× 5%

Lower margin requirements allow traders to open larger positions. But they also place the liquidation price much closer to the entry point, making it riskier. However, this is only the start.

2. Maintenance margin

Maintenance margin is the minimum collateral needed to keep the position open. When losses reduce your account balance below this threshold, liquidation begins.

As for the precise percentage, we can’t tell you the exact numbers because they vary across exchanges. Also, they often increase for larger positions to reduce systemic risk.

3. Liquidation price

The liquidation price sits between your entry price and total margin loss. It’s the level where the exchange’s risk engine closes your trade.

Important to know: this price occurs before your collateral reaches zero. Why? Because the system needs a buffer to execute the closing trade in the market. Without it, the exchange might struggle to exit the position quickly during fast price movements.

The cascade effect: Why liquidations move markets

If it wasn’t clear by now, liquidations don’t happen in a vacuum. When price moves sharply, thousands of leveraged positions can trigger within seconds.

And each liquidation closes a position by executing a market order. These orders execute immediately against available liquidity. So if thousands of traders share similar leverage levels, their liquidation prices cluster near the same range.

When the first liquidations trigger, the forced selling pushes the price further down. It’s this movement that then triggers additional liquidations.

The result? A chain reaction known as a liquidation cascade.

For more clarity, here’s how the process typically unfolds:

Price declines slightly
Highly leveraged long positions reach liquidation thresholds
Forced sell orders hit the market
Price drops further
Additional positions liquidate

It’s a cascading effect that can transform a modest decline into a sharp market drop within minutes.

A realistic trading scenario

Theory is useful, but let’s talk practicalities. As an example, let’s take a trader entering an Ethereum long position. They’re executing the trade with 20× leverage.

Position size: $20,000
Margin: $1,000

If Ethereum declines roughly 5%, the loss approaches the said trader’s collateral. At that point, the exchange begins liquidation.

To put that in perspective, here is how different leverage levels drastically change your “breathing room” before a total loss:

Leverage	Price Drop Required to Trigger Liquidation	Risk Category
2×	~45–50%	Conservative
5×	~18–20%	Moderate
10×	~9–10%	High
20×	~4–5%	Very High
50×	~1.5–2%	Extreme

Now, there are two additional factors that often accelerate the process you should know about:

Trading fees reduce margin slightly over time
Funding payments in perpetual futures gradually adjust the balance

So the liquidation price may sit even closer than the trader initially expects. Experienced traders understand this math. High leverage means a very narrow margin for error.

Insurance funds and market stability

The goal of liquidation engines is to close positions before losses exceed collateral. Simple as that. However, during extreme volatility, markets can move faster than liquidation orders can execute. When this happens, a position may produce negative equity.

What happens then? Then, exchanges use insurance funds to cover those losses. Major platforms maintain significant reserves for this purpose. For instance, the derivatives insurance pool at Binance has historically held hundreds of millions of dollars.

Without these reserves, losses from liquidated positions could spread to profitable traders on the opposite side of the trade.

Auto-deleveraging: The emergency system

There’s also a scenario where insurance funds cannot absorb losses. When that happens, exchanges activate auto-deleverage systems (ADL).

ADL reduces positions held by profitable traders who occupy the opposite side of the market. In other words, the platform closes part of their winning trade to stabilize the system. It’s a protective mechanism, one that prevents insolvency during extreme market stress.

Traditional derivatives markets implement similar protections. Futures exchanges overseen by organizations like the Chicago Mercantile Exchange maintain comparable safeguards to manage risk during rapid price changes.

How traders use liquidation data strategically

Now that we’ve covered the basics, what can you do in practice to put this information to good use? Start by tracking liquidations; use them as an analytical tool.

Take a page from the professional traders’ playbook and monitor liquidation heatmaps that display where leveraged positions cluster across price levels. These are incredibly useful because they highlight areas where many traders may be forced out simultaneously.

Price tends to move toward areas where many traders will get forced out.

Some traders use this information to:

Avoid entering positions near major liquidation clusters
Trade momentum when cascades begin
Identify reversal zones once large liquidation waves clear excess leverage

If you know anything about gamma exposure, you’ll notice that this concept resembles how equity traders monitor options gamma exposure. Different market, but same behavioral pattern. For good reason.

Pro Tip: Price often acts like a magnet toward “liquidity pockets,” which are areas where a high concentration of liquidation prices sit. Market makers and whales often drive price into these zones to fuel further momentum.

Reducing liquidation risk: Practical approaches

Know that leverage itself is not inherently dangerous. What creates real danger is poor risk control.

That’s precisely why experienced traders apply several structural safeguards (and you should, too). These include:

Lower leverage

Many exchanges advertise leverage up to 50× or 100×. But professional traders rarely use it.

Instead, most operate within 2× to 5× leverage, which provides significantly more room before liquidation triggers.

Margin buffers

Many traders often add collateral after entering a position. Why? Simple: it widens the distance between market price and liquidation level. Consider doing the same to widen your safety net.

Volatility-Adjusted position sizing

Bitcoin frequently moves 5–10% within a single day (and longer-term supply dynamics continue to shape how volatility plays out across the market). So, a trade using 20× leverage would make liquidation sit too close.

The point is, position sizing should reflect the asset’s historical volatility.

Stop losses before liquidation

Liquidation represents the worst possible exit scenario. One that you obviously want to avoid.

One strategy is to use stop losses. They allow you to close the trade earlier with a controlled loss instead of losing nearly the entire margin.

A risk management checklist and more advice

Experienced traders often perform a quick mental checklist before entering positions. Do the same before opening a leveraged trade by asking yourself the following questions for every category.

Position risk

What leverage am I using?
How far is the liquidation price from entry?
Does normal market volatility reach that distance?

Capital protection

Can I add margin if the market moves against me?
Is my stop loss positioned before liquidation triggers?

Market context

Are liquidation clusters visible nearby?
Are major macro events approaching (interest rate decisions, inflation data, CPI release, etc.)?

It’s a routine that takes seconds, but can prevent many avoidable liquidations. However – and this is important – even if you get all of that right, there is one variable that still sits outside your control: how the platform itself handles liquidation.

Some exchanges rely heavily on full liquidation triggers, while others use partial liquidation to reduce risk more gradually. It’s a difference that can decide whether a position survives a sharp intraday move or disappears within seconds.

This is precisely why some traders move toward multi-asset platforms. It’s less risky. If you, too, want to diversify across asset classes (a wise choice), regulated multi-asset platforms like Axi provide a more consistent margin framework. You can compare multi-asset CFD trading through axi-solaris.com/eu before accessing broader markets.

But the point here isn’t which platform is “best.” We used Axi as an example because they’re a reputable and well-established broker, but there are many other platforms you can use. The point is, liquidation risk isn’t just about your trade; it’s also influenced by the system executing it.

Common mistakes that lead to liquidation

While liquidation can happen due to unpredictable markets, more often than not, it stems from behavioural errors traders make. Here are common ones to get acquainted with so you can avoid them.

Excessive leverage during bull markets

Strong uptrends encourage traders to increase leverage. But sharp corrections appear frequently even during long bull cycles.

Ignoring Funding Rates

High positive funding rates signal crowded long positions. Crowded leverage frequently precedes liquidation cascades when sentiment reverses.

Trading during low liquidity periods

Crypto liquidity drops sharply during certain time zones. And since thin order books amplify volatility, this pushes the price quickly toward liquidation levels.

Averaging down aggressively

Increasing position size while a leveraged trade moves against you compounds risk rapidly. Experienced traders treat averaging down with caution; do the same.

What changed in Crypto liquidations after 2023

Crypto derivatives markets have evolved significantly in just a few years. And several developments have reduced systemic risk.

Here are three structural changes that matter the most.

Lower maximum leverage

Many exchanges reduced retail leverage caps from 100× to around 20×. Regulators and internal risk teams pushed these changes.

Partial liquidations

Modern risk engines often close just portions of positions rather than the entire trade immediately. As you can deduce, this helps traders survive temporary price spikes. Another win.

Improved market data transparency

Real-time liquidation tracking tools now allow traders to monitor forced position closures across exchanges. More visibility provides insight into potential volatility before it appears in price charts. In other words, you can now more easily anticipate cascades rather than getting caught inside them.

Frequently asked questions

Is liquidation the same as a margin call?

Not quite.

Traditional financial markets often issue margin calls first, allowing traders to add collateral. Crypto markets move too quickly for that process.

Most platforms liquidate positions automatically.

Can losses exceed your margin?

Many exchanges use isolated margin, which limits losses to the capital posted for that trade. Cross-margin systems, however, may expose your entire account balance.

Do professional traders avoid leverage?

No. Leverage is common in derivatives markets, including equities and commodities.

But experienced traders treat leverage primarily as a capital efficiency tool, not a way to maximize position size.

Why understanding liquidations matters

Liquidation is not simply a technical detail of crypto trading. As we’ve demonstrated several times throughout this article, it literally shapes how markets behave.

Yes, it feels brutal when it happens to you. But the process follows clear rules. High leverage, thin margin buffers, and volatile markets create predictable risk. And this is why traders who survive long term usually adopt a simple principle: control leverage first, chase returns second.

So, understand the mechanics (go back to this article from time to time). Track liquidation clusters. Control position size. And most importantly, remember a basic truth many traders learn the hard way: staying in the game matters more than winning one trade.

Author bio: Daniela Kovac is a markets analyst and independent trading systems researcher with years of experience studying retail and proprietary trading models. Her work focuses on risk management frameworks, capital allocation structures, and the psychology of performance under constraints.

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