The crypto market saw $153 million in long liquidations in 24 hours, impacting Bitcoin and Ethereum. This article analyzes the causes of liquidations, key drivers, and how to cross-validate data to understand the logic behind leveraged markets.
Over the past 24 hours, the cryptocurrency market experienced a significant liquidation event, with $153 million in long positions forcibly closed, reflecting the concentrated release of leveraged trading under price volatility. Such liquidations typically occur when investors use high leverage to bet on price increases. If the market price moves in the opposite direction and falls below the margin threshold, the exchange system automatically closes the positions, thereby increasing downward pressure and creating a chain reaction, especially affecting mainstream assets such as Bitcoin (BTC) and Ethereum (ETH).
These events are often closely related to three major factors: high leverage exposure, tight funding rates, and large open interest. When market sentiment becomes euphoric, a large amount of capital flows into perpetual contracts and futures markets. Once the price retraces, long positions with insufficient margin are the first to be forcibly liquidated, further dragging down market prices.
To verify the accuracy of this liquidation data, it is recommended to cross-reference multiple professional data analysis platforms. For example, CoinGlass provides real-time rolling 24-hour liquidation statistics, supporting filtering by coin and position direction. Glassnode focuses on the correlation analysis of on-chain data and derivatives behavior, while Kaiko focuses on market microstructure and order book dynamics. Due to differences in data source coverage, contract type definitions (such as perpetual contracts vs. regular futures), and statistical time windows (UTC fixed period vs. rolling window) among platforms, the final values may have slight deviations, which is normal and not a data error.
To obtain consistent conclusions, it is recommended to standardize the time, confirm that the statistics are for "long liquidations only" rather than "total long and short liquidations," and select the same time period for comparison. In addition, liquidation data changes with real-time updates from exchanges. Monitoring short-term fluctuations requires a comprehensive judgment based on overall market sentiment and trading volume changes.
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