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Whale Client's Leveraged Profit at Hyperliquid Exchange: AI Engine Hypothetical Simulation Reasoning Analysis
#杠杆交易 #DEX风险
$ETH
By reasoning through AI engines, the behavior process of this event can be summarized in key points as follows:
Research indicates that whale clients may trigger liquidation profits by reducing margin, but the specific mechanisms are complex.
Assuming initial margin of $17 million, 50x leverage bullish on ETH, withdrawing $8 million when the price rises from $1900 to $2140.
Evidence suggests that clients actively cause liquidation of positions after withdrawal, resulting in market volatility, with AI estimating total trading profits of about $107 million. However, in reality, due to market slippage and lack of counterparties, the entire leveraged position did not yield such outrageous profits.
$ETH
By reasoning through AI engines, the behavior process of this event can be summarized in key points as follows:
Research indicates that whale clients may trigger liquidation profits by reducing margin, but the specific mechanisms are complex.
Assuming initial margin of $17 million, 50x leverage bullish on ETH, withdrawing $8 million when the price rises from $1900 to $2140.
Evidence suggests that clients actively cause liquidation of positions after withdrawal, resulting in market volatility, with AI estimating total trading profits of about $107 million. However, in reality, due to market slippage and lack of counterparties, the entire leveraged position did not yield such outrageous profits.
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