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AguilaTrades Faces $33 Million Bitcoin Trading Loss

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aguilatrades 33m bitcoin loss
Key Points:

  • AguilaTrades suffers major Bitcoin trading loss.
  • Exposed with significant short position.
  • No broader crypto market effect seen.

aguilatrades-faces-33-million-bitcoin-trading-loss
AguilaTrades Faces $33 Million Bitcoin Trading Loss

AguilaTrades, a major crypto trader, recorded a loss exceeding $33.44 million during June 2025 due to high-leverage Bitcoin trades.

The event underscores the risks associated with high-leverage trading, impacting AguilaTrades’ market presence without affecting the broader crypto landscape.

AguilaTrades, known for substantial high-leverage Bitcoin trading, faced a severe financial setback in June. The trader incurred $33.44 million in losses over various leveraged positions, marking a significant decline in financial standing within two weeks.

The individual behind AguilaTrades, whose identity remains undisclosed, experienced heightened financial pressure from leveraged Bitcoin trades. Reports indicate a single-day loss of $17 million, contributing to a sharp decline in account equity. “The account equity decreased from over $39 million to approximately $4–6 million in just two weeks,” demonstrating the extent of the losses that were recorded through direct wallet balances.

The cryptocurrency market witnessed no notable shift or regulatory response relating to AguilaTrades’ trading actions. The impacts were localized, primarily affecting Bitcoin, and did not extend to other cryptocurrencies or crypto projects.

The extensive use of leverage, exemplifying trading risk, mirrored previous market events like the Three Arrows Capital collapse. Such incidents highlight critical lessons for traders regarding risk management and strategic positioning.

If similar trading practices persist, further financial strain could pressure AguilaTrades, potentially altering Bitcoin volatility. The event emphasizes the ongoing need for risk management in high-leverage environments. Historical data aligns with trends seen in previous individual trading collapses.

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