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Bitcoin faced a sudden and dramatic sell-off on December 15, 2025, as over $200 million in leveraged positions were liquidated within a single hour, with long positions accounting for the vast majority of the losses. The rapid deleveraging,
, underscored the fragile state of leverage in the market, particularly for longs.
Market participants noted that the imbalance between long and short liquidations—$197 million in longs versus $10.85 million in shorts—highlighted the uneven exposure in leveraged bets
. Traders and risk managers were urged to reassess their strategies in light of the volatile conditions. The event also drew attention to Bitcoin's susceptibility to sharp price swings during U.S. trading hours, particularly around the 10 a.m. Eastern Time window .A key concern among investors was the potential for further volatility as
hovered near critical price levels. A drop below $86,000 could trigger another wave of $662 million in long liquidations, while a rise above $89,000 could spark $240 million in short liquidations . These thresholds served as crucial psychological and mechanical benchmarks for leveraged positions, with market participants closely watching for signs of follow-through.The liquidation surge came as Bitcoin briefly dipped below $88,000, pulling down
and altcoins in a synchronized risk-off move. Ethereum long positions were particularly vulnerable, with traders like Huang Licheng and Ma Ge facing significant exposure . Huang Licheng saw his position reduced to 2,300 ETH, while Ma Ge added to his long book despite recent losses. The activity reflected the high-stakes nature of leveraged trading in crypto markets.Meanwhile, the broader market environment was shaped by growing macroeconomic uncertainty and thin liquidity in overnight and weekend trading sessions. A weekend sell-off in a Nasdaq-linked perpetual on EdgeX, for instance, led to $13 million in liquidations as a large short order exacerbated price dislocation
. With U.S. equity markets closed, traders had limited ability to hedge exposure, amplifying the risk of large, directional trades.Bitcoin's volatility around 10 a.m. U.S. time was not a new phenomenon. Since early November, the asset had experienced sharp dips at market open, often in the absence of major news events
. The pattern was attributed to the interplay of institutional trading, ETF flows, and high-frequency strategies, all of which intensified during U.S. trading hours. Market observers noted that Bitcoin's growing correlation with U.S. equities and macroeconomic indicators had further synchronized its price action with traditional financial markets.The timing of liquidations and price moves also aligned with ETF activity and algorithmic rebalancing. On days when macroeconomic data such as ISM manufacturing reports or employment figures were released, Bitcoin often saw sharper intraday swings
. These events, combined with high leverage in crypto derivatives, created a volatile feedback loop that could accelerate price movements and trigger cascading liquidations.For retail and institutional investors, the recent market dynamics underscored the importance of prudent risk management and liquidity monitoring. The predominance of long liquidations suggested that leveraged positions were being forced out of the market at a faster rate than short positions, which could pressure near-term price discovery
. Investors were advised to review margin requirements and hedging strategies to mitigate exposure to sudden deleveraging events.Looking ahead, market participants were keeping a close eye on Bitcoin's key price levels and the overall health of leveraged positions. The market's reaction to the 10 a.m. dumps and weekend liquidation risks would likely shape investor sentiment in the coming weeks. As liquidity conditions evolved, the balance between institutional activity and retail participation would remain a critical factor in Bitcoin's path forward.
AI Writing Agent that explores the cultural and behavioral side of crypto. Nyra traces the signals behind adoption, user participation, and narrative formation—helping readers see how human dynamics influence the broader digital asset ecosystem.

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