Bitcoin Breaks Above $62,000, Sparking More Than $100M in Liquidations

Bitcoin surged past $62,000 in late July, punishing traders positioned for a pullback. The move drove more than $100 million in Bitcoin liquidations, largely concentrated in short positions as prices accelerated higher. CoinGlass data show the July 23 breakout also hit the broader market: total crypto short liquidations across multiple tokens neared roughly $450500 million over 24 hours. The mechanics were familiar—short sellers using borrowed funds were forced to buy back Bitcoin to close positions, adding demand that pushed prices up further and triggered additional liquidations. The $62,000 mark had capped gains for weeks. Once Bitcoin cleared that level, a dense pocket of shorts sitting just above it effectively became fuel for the rally. A key catalyst appeared to be weaker-than-expected US jobs data, which tilted sentiment toward risk assets as traders priced in a higher likelihood the Federal Reserve could pivot toward rate cuts or, at minimum, pause further tightening. Institutional demand also contributed to momentum. Spot Bitcoin ETFs recorded about $221 million in inflows during the period. Unlike derivatives-driven positioning, spot ETF inflows translate into direct purchases of Bitcoin, adding immediate demand to the market. The rally followed a difficult June for bulls. Bitcoin tested the $60,000–$62,000 area, and the liquidation wave ran the other way: long liquidations topped $1 billion in single sessions as Bitcoin slipped below the psychologically important $60,000 level. For investors, the scale of forced deleveraging on both sides is a reminder of how quickly derivatives positioning can amplify volatility—over $1 billion in longs liquidated in June, then $100 million-plus in shorts in July. For spot holders, the more meaningful signal may be ETF activity. Sustained inflows into spot Bitcoin ETFs point to structural demand that can persist beyond leverage-driven swings, with the $221 million figure notable but best evaluated alongside multi-week and multi-month trends.