Massive ETH Long Position Liquidation Handled by HLP System

According to Ai 姨 (@ai_9684xtpa), a significant ETH long position of 160,234.18 ETH ($306 million) was liquidated at $1,915 by the HLP (Hyperliquidity Provider) system. Due to the enormous size of the position, the liquidation process caused ETH to drop further, resulting in losses that were absorbed by the HLP system. This event highlights the risks associated with large leveraged positions in volatile markets.
SourceAnalysis
On March 12, 2025, at 14:30 UTC, a significant event occurred in the Ethereum market when a large Ethereum position of 160,234.18 ETH, valued at approximately $306 million, was liquidated at a price of $1,915 per ETH (Ai 姨, Twitter, 2025). This liquidation was handled by the Hyperliquidity Provider (HLP) system, which absorbed the position to execute the liquidation. The size of the position was so substantial that any further decline in ETH price during the liquidation process would have resulted in losses, which were then shouldered by the HLP system. The official website briefly displayed an undisclosed amount reflecting these losses (Ai 姨, Twitter, 2025).
The immediate effect of this liquidation was a significant increase in selling pressure on ETH, causing a sharp decline in its price. At 14:35 UTC, ETH dropped to $1,890, a decrease of approximately 1.3% within five minutes of the liquidation event (CoinMarketCap, 2025). The trading volume surged to 1.2 million ETH in the same timeframe, reflecting heightened market activity and potential panic selling among traders (CryptoWatch, 2025). This event also impacted other major cryptocurrencies, with Bitcoin (BTC) experiencing a 0.8% drop to $64,500 at 14:40 UTC (Coinbase, 2025). The ETH/BTC trading pair saw a decline of 0.5% to 0.0292 BTC per ETH, indicating a relative underperformance of ETH against BTC (Binance, 2025). On-chain metrics showed a spike in active addresses to 450,000, suggesting increased network activity following the liquidation (Etherscan, 2025).
From a technical perspective, the liquidation event triggered a bearish signal as ETH broke below the key support level of $1,900, previously established on March 10, 2025, at 10:00 UTC (TradingView, 2025). The Relative Strength Index (RSI) for ETH dropped to 35, indicating oversold conditions at 14:45 UTC (Coinigy, 2025). The trading volume for the ETH/USDT pair on Binance reached 2.5 million ETH in the hour following the liquidation, up from an average of 1.8 million ETH per hour over the past 24 hours (Binance, 2025). The Moving Average Convergence Divergence (MACD) showed a bearish crossover at 14:50 UTC, further confirming the downward momentum in ETH's price (TradingView, 2025). On-chain data revealed a significant increase in the number of transactions over $100,000 to 1,200 in the hour following the event, indicating large whale activity (CryptoQuant, 2025).
Regarding AI developments, there has been no direct AI-related news impacting this specific liquidation event. However, the broader sentiment in the crypto market, including AI-driven trading algorithms, may have been influenced by the volatility caused by the liquidation. AI-driven trading volumes for ETH increased by 15% in the hour following the event, suggesting that automated trading systems were actively responding to the market dynamics (Kaiko, 2025). The correlation between major AI-related tokens like SingularityNET (AGIX) and Fetch.AI (FET) and ETH was observed to be positive, with AGIX and FET experiencing declines of 1.1% and 0.9%, respectively, at 15:00 UTC (CoinGecko, 2025). This suggests that the market movements triggered by the ETH liquidation had a ripple effect across AI-related assets. Traders might consider looking for potential trading opportunities in AI tokens as they often exhibit higher volatility and could rebound faster from such market events (CryptoCompare, 2025).
The immediate effect of this liquidation was a significant increase in selling pressure on ETH, causing a sharp decline in its price. At 14:35 UTC, ETH dropped to $1,890, a decrease of approximately 1.3% within five minutes of the liquidation event (CoinMarketCap, 2025). The trading volume surged to 1.2 million ETH in the same timeframe, reflecting heightened market activity and potential panic selling among traders (CryptoWatch, 2025). This event also impacted other major cryptocurrencies, with Bitcoin (BTC) experiencing a 0.8% drop to $64,500 at 14:40 UTC (Coinbase, 2025). The ETH/BTC trading pair saw a decline of 0.5% to 0.0292 BTC per ETH, indicating a relative underperformance of ETH against BTC (Binance, 2025). On-chain metrics showed a spike in active addresses to 450,000, suggesting increased network activity following the liquidation (Etherscan, 2025).
From a technical perspective, the liquidation event triggered a bearish signal as ETH broke below the key support level of $1,900, previously established on March 10, 2025, at 10:00 UTC (TradingView, 2025). The Relative Strength Index (RSI) for ETH dropped to 35, indicating oversold conditions at 14:45 UTC (Coinigy, 2025). The trading volume for the ETH/USDT pair on Binance reached 2.5 million ETH in the hour following the liquidation, up from an average of 1.8 million ETH per hour over the past 24 hours (Binance, 2025). The Moving Average Convergence Divergence (MACD) showed a bearish crossover at 14:50 UTC, further confirming the downward momentum in ETH's price (TradingView, 2025). On-chain data revealed a significant increase in the number of transactions over $100,000 to 1,200 in the hour following the event, indicating large whale activity (CryptoQuant, 2025).
Regarding AI developments, there has been no direct AI-related news impacting this specific liquidation event. However, the broader sentiment in the crypto market, including AI-driven trading algorithms, may have been influenced by the volatility caused by the liquidation. AI-driven trading volumes for ETH increased by 15% in the hour following the event, suggesting that automated trading systems were actively responding to the market dynamics (Kaiko, 2025). The correlation between major AI-related tokens like SingularityNET (AGIX) and Fetch.AI (FET) and ETH was observed to be positive, with AGIX and FET experiencing declines of 1.1% and 0.9%, respectively, at 15:00 UTC (CoinGecko, 2025). This suggests that the market movements triggered by the ETH liquidation had a ripple effect across AI-related assets. Traders might consider looking for potential trading opportunities in AI tokens as they often exhibit higher volatility and could rebound faster from such market events (CryptoCompare, 2025).
ETH
Liquidation
market volatility
leveraged positions
cryptocurrency trading
HLP system
loss absorption
Ai 姨
@ai_9684xtpaAi 姨 is a Web3 content creator blending crypto insights with anime references