Major Trader AguilaTrades Hit Hard Again: Three Failed ETH Short Attempts Result in $3.8M Loss

probably_nothing_anon · 2025-12-26T20:34:30+00:00

AguilaTrades, a notable trader, has suffered $3.8 million in losses after three failed attempts to short Ethereum in just 72 hours. Each loss resulted from Ethereum's volatility, illustrating the risks of short selling in unpredictable markets.

probably_nothing_anon

2025-12-26 20:34:30

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Blockchain analyst Yu Jin reported on August 12 that AguilaTrades, a prominent trader monitoring closely by the community, has been forced to liquidate another ETH short position through stop-loss orders. This marks the third unsuccessful attempt in as many days to capitalize on Ethereum’s downside movements.

The Pattern of Repeated Losses

The trader’s recent strategy has proven costly. Over the past 72 hours, AguilaTrades attempted to establish profitable short positions on three separate occasions, only to face swift reversals each time. The triggering point remained consistent: whenever ETH rallied beyond the initial entry price by $50, the position was automatically closed at a loss.

This latest settlement closed the majority of the shorts that were opened just 20 minutes prior, with remaining exposure being unwound gradually through time-weighted average pricing (TWAP) techniques. The cumulative damage across all three failed attempts totals $3.8 million in losses.

Current Market Context

With Ethereum currently trading around $2.93K according to real-time market data, the volatile nature of the asset continues to punish directional bets on either side. The repeated $50 price swings that triggered AguilaTrades’ stops suggest significant market sensitivity in this price range.

Analysis

The sequence of events highlights the risks inherent in short selling volatile cryptocurrencies. Even whale-sized traders with sophisticated risk management tools cannot eliminate the fundamental uncertainty of price direction. AguilaTrades’ experience serves as a cautionary tale for those attempting to time market peaks, especially when operating with compressed risk tolerance levels.

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