One of the least understood risks in cryptocurrency derivatives markets is the possibility that even profitable positions can be forcibly closed by the exchange. This isn’t just limited to technical glitches or standard liquidation events. Automatic Deleveraging (ADL), an automated system used by exchanges, is triggered during periods of extreme volatility to help safeguard the platform. Sometimes, this mechanism targets the most profitable trades.
How ADL works
In perpetual futures trading, every buyer is matched with a seller. When leveraged trades move sharply in the opposite direction and collateral drops below a maintenance margin, the traditional auto-liquidation system kicks in. Under normal circumstances, the exchange tries to close losing positions via the order book to prevent deficits.
However, sudden crashes can trigger mass liquidations of leveraged accounts, rapidly draining the order book. If liquidity providers pull back, trades can occur beyond bankruptcy prices, resulting in losses that exceed investors’ collateral. When the exchange’s insurance fund cannot support these deficits, ADL is activated.
ADL selects profitable positions on the opposite side of the defaulted contracts and forcibly closes them. This approach aims to balance losses across the system. In effect, risks created by losing trades are contained by unwinding the most successful accounts early.
Mini glossary: ADL, or automatic deleveraging, is a mechanism that forcibly closes profitable counterparty positions when insurance funds are depleted after large-scale liquidations on an exchange.
Rather than targeting loss-making accounts, ADL usually hits the accounts with the highest profits and most substantial effective leverage to limit the system’s insolvency risk.
Why exchanges rely on this method
Unlike conventional financial markets that operate with clearinghouses, bank-backed capital structures, and credit lines, crypto exchanges run 24/7 on global markets, offering high leverage to retail investors. This model demands robust security layers since no central bailout mechanism exists to buffer severe price swings.
As a result, exchanges prioritize the platform’s solvency and ongoing operations over maximizing individual retail gains. Without these precautions, unrecoverable losses can mount, withdrawal requests may go unanswered, and crisis of confidence could ensue.
Who is affected first
Accounts are not randomly targeted during ADL events. Instead, real-time rankings based on several criteria—unrealized profit percentage, effective leverage, position size, and margin ratio—determine whose positions are closed first. Traders with both high profits and significant leverage often end up at the top of the list.
| Metric | Explanation |
| Unrealized profit percentage | Return generated by the position relative to its initial margin |
| Effective leverage | Ratio of open position size to supporting margin |
| Position size | Total volume of open contracts |
| Margin ratio | Relationship between account balance and required maintenance margin |
Risk intensifies, especially during one-sided market surges. If the bulk of participants take the same position on a certain altcoin and a sharp price swing occurs, there may be insufficient counterparties to take the other side. In low-liquidity markets, these scenarios unfold even faster.
Exchange-imposed stop-loss orders do not shield investors against ADL, since stop-loss is a user-initiated limit, while ADL is a system-enforced risk protocol applied directly by the platform.
How investors can limit their risk
Assuming profits eliminate risk can be a costly mistake for derivatives traders. While many investors monitor downside risks, they often overlook the upward systemic risks embedded in the platform. Understanding the difference between isolated and cross margin can help; cross margin may reduce ordinary liquidation risk, but during severe swings, an entire account balance could be exposed to system-wide effects.
To manage risk, lowering leverage, adding collateral to winning positions, partially closing profitable trades, and monitoring ADL risk indicators provided by exchanges are key strategies. Spreading capital across multiple platforms can also help limit the potential impact if an insurance fund falls short.
