Bitcoin slides under $65K as leverage purge follows macro tremors
Bitcoin slipped under $65,000 as roughly $360M in crypto longs were wiped out within an hour, Coinglass data show. Leverage clustering and macro jitters exposed a fragile market structure.

Because Bitcoin
February 23, 2026
Bitcoin’s drop below $65,000 wasn’t just a price move; it was a stress test of crypto’s leverage machine. As macro jitters rippled across risk assets, about $360 million of crypto long positions were flushed out in a single hour, according to Coinglass’ heatmap. That combination — a round-number break and a concentrated liquidation wave — revealed how dependent this tape remains on crowded positioning.
The core issue here is leverage density. When open interest stacks up near psychologically important levels like $65K, any external shock — rates repricing, dollar strength, geopolitical headlines — can act as the spark. Perpetual swaps and margin venues route forced sells into increasingly thin order books, creating a reflexive loop: price slips, collateral value erodes, liquidation engines sell more, liquidity providers widen or step back, and the slide accelerates. Heatmaps are telling because they show where the pain is clustered; once price tags those zones, the clearing can be swift.
Under the hood, the microstructure matters: - Perp funding and basis compress as longs crowd in, dulling carry and reducing incentives for market makers to warehouse risk. - Liquidation algorithms trigger across venues nearly simultaneously, and cross-exchange arbitrage cannot always absorb the flow when top-of-book depth thins. - Time-of-day effects can amplify moves; during quieter sessions, the same notional sell pressure pushes price further.
Psychology feeds the mechanics. After sustained uptrends, traders often normalize higher leverage, tighten stops under round numbers, and sell volatility to harvest premium. That works — until it doesn’t. When the narrative wobbles, those stop clusters become fuel. You can see it in how quickly price sliced the figure: once sub-$65K printed, forced flows did the rest.
There’s also a business and incentive layer that deserves attention. Exchanges generally thrive on turnover, and while most have improved risk engines, transparency around liquidation thresholds, circuit breakers, and auto-deleveraging remains uneven. Better standardized disclosures on liquidation waterfalls and dynamic margining would strengthen trust and reduce the perception that retail is perpetually on the wrong side of the sweep. Healthy competition should trend toward deeper disclosed liquidity, clearer margin math, and tighter coordination on halting disorderly moves without freezing price discovery.
What to watch next isn’t a heroic dip-buy narrative; it’s whether the system meaningfully de-levers: - Open interest versus realized volume: has speculative notional been burned off, or did players re-lever on the bounce? - Spot versus perp leadership: spot-led recoveries tend to be sturdier; perp-led pops often fade when funding flips unstable. - Order book depth around $64K–$66K: if depth refills and slippage normalizes, the market is digesting; if depth stays patchy, volatility can linger.
For portfolio construction, discipline around leverage and liquidity beats trying to predict each macro headline. Traders who size positions so their thesis survives a multi-thousand-dollar wick typically endure; those relying on tight, crowded stops near obvious levels often supply the next cascade. Hedging with options when funding gets frothy, staggering entries across venues, and preferring spot or low-leverage futures into macro uncertainty are pragmatic tools — not silver bullets.
Price resets like this aren’t new to crypto; what matters is whether the market internalizes the lesson. If volatility sellers recalibrate, exchanges keep refining liquidation logic, and participants diversify away from singular levels like $65K, these shocks become less disruptive over time. Until then, macro tremors will keep finding the same weak links: clustered leverage, thin liquidity pockets, and overconfidence in stable regimes that rarely stay stable for long.
