Three on-chain addresses booked a combined $6.958 million in profit after Hyperliquid’s auto-deleveraging, or ADL, mechanism closed their SKHX short positions at a low price during an early-morning wick event, according to on-chain analyst Ai Yi (@ai_9684xtpa) cited by BlockBeats on July 28. The tracked addresses, beginning with 0xd04, 0xcaf and 0x84a, were all closed at $931.36. Their realized profits were reported at $2.185 million, $2.55 million and $2.223 million, respectively, with position sizes of 4,510 SKHX, 5,920 SKHX and 6,010 SKHX. BlockBeats described the move as an instance of traders benefiting unexpectedly from an extreme market move. The report also outlined how Hyperliquid’s ADL system works. The mechanism serves as a final backstop during extreme volatility. If a liquidated position goes bankrupt and losses cannot be covered by the HLP insurance vault, the platform ranks profitable counterparties using the formula (mark price/entry price) × (notional position/account value). It then forces the highest-profit, highest-leverage positions to close at the mark price, using unrealized gains to absorb bad debt and prevent negative equity across the platform.
Three addresses made a combined $6.958 million after Hyperliquid’s ADL mechanism closed their SKHX short positions at a low price during an early-morning wick event, according to on-chain analyst Ai Yi (@ai_9684xtpa) cited by BlockBeats on July 28.
The report said the addresses benefited from the platform’s auto-deleveraging process during the move. An address beginning with 0xd04 had 4,510 SKHX closed via ADL at $931.36, locking in $2.185 million in profit. An address starting with 0xcaf was also closed at $931.36, with 5,920 SKHX and a reported profit of $2.55 million. A third address beginning with 0x84a had 6,010 SKHX closed at the same price, realizing $2.223 million.
How Hyperliquid’s ADL works
Hyperliquid’s ADL, short for auto-deleveraging, acts as a final backstop during extreme market conditions. If a liquidated position goes bankrupt and the HLP insurance vault cannot cover the loss, the system ranks profitable counterparties using the formula (mark price/entry price) × (notional position/account value).
It then forcibly closes the positions with higher profits and higher leverage at the mark price first, using their unrealized gains to cover bad debt so the platform does not end up with negative equity.
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