Trump-Musk Clash Triggers $800M Crypto Liquidations
- $800M worth of crypto liquidations triggered.
- Market reacts negatively to public clash.
- Ethereum sees renewed institutional interest.

The event has shaken investor confidence, causing significant sell-offs while also highlighting Ethereum’s growing institutional appeal amidst market volatility.
The verbal battle between former President Trump and Elon Musk catalyzed a market frenzy resulting in nearly $1 billion in liquidations. Public exchanges between these influential figures sparked panic and sell-offs in Bitcoin and Ethereum. The most affected were leveraged positions, with about $888 million of liquidations impacting long positions significantly. Bybit emerged as the hardest-hit exchange with $354 million liquidated, followed by Binance.
Market impacts were swift, with Bitcoin long positions experiencing substantial losses. Significant rotation from Bitcoin to Ethereum occurred, as shown by a 4,340 ETH purchase. Whale activity amidst these transactions pointed to increased risk for notable investors, including James Wynn’s high-profile BTC position.
Financial implications of these movements extend to institutional behavior, as shown by SharpLink Gaming’s $425 million Ethereum treasury allocation. This indicates a potential institutional pivot from Bitcoin towards Ethereum due to upgraded network features, enhancing its appeal.
“The Pectra upgrade, which went live on May 7, has been a key turning point. By raising the validator cap from 32 to 2,048 ETH and doubling blob throughput, Ethereum took a major step forward in both staking efficiency and Layer-2 scalability.” — Youwei Yang, Chief Economist, BIT Mining
Ethereum’s recent upgrades, notably the Pectra, have significantly improved network infrastructure, facilitating staking and scalability, which are attractive to institutional investors. Historical precedents show similar sell-offs followed major news events, with potential regulatory moves towards an Ether ETF hinting at lasting change in trading dynamics.