Seven Liquidation Cascades Challenge Crypto Crash Prediction Models

Seven measured liquidation cascades from 2022 to 2025 point to a simple conclusion: most crypto crash prediction frameworks built on gradual pre-crash “critical slowing down” are not reliable across regimes. Across the sample, cascade onsets looked abrupt in the data, not gradual, and warning signals were inconsistent. That finding is anchored by two new arXiv studies that analyze the seven events as a group and measure minute-by-minute mechanics inside the cascades themselves.

The stakes are large. CoinGlass’ 2025 derivatives market annual report tallies roughly $154.6B in forced liquidations for the year and a single-day peak of about $19.1B during the October 10–11, 2025 episode, with about 1.6M traders affected (CoinGlass). That October crash is also the cleanest laboratory: an independent minute-level reconstruction finds futures led the move, with the BTC futures basis swinging about $1,367 in eight minutes, trading volume spiking roughly 22 times baseline seven minutes before the trough, and the mark price undershooting spot and futures, which fed a reflexive liquidation loop (SSRN).

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