According to Lookonchain, whale 0xc653 capitulated by closing a 1,200 BTC ($126M) long position on Hyperliquid approximately an hour ago, resulting in an $8.25M loss and withdrawal of all funds from the platform (source: Lookonchain, Twitter, May 30, 2025). Despite earning $1.95M in seven winning trades from May 21 to 27, this large-scale loss highlights increased volatility and risk management challenges in the Bitcoin derivatives market. Such significant whale activity can create short-term price pressure and impact liquidity on major exchanges, making it a crucial signal for crypto traders to monitor (source: hyperdash.info/trader/0xc653c).

According to Lookonchain, a major Ethereum whale capitulated by selling 7,000 ETH worth $16.88 million at a significant loss just one hour ago. The whale had previously withdrawn 13,479 ETH (valued at $48.82 million) from Binance between December 5, 2024, and January 13, 2025, at an average price of $3,622. The whale still holds 6,479 ETH, currently valued at $15.66 million, resulting in a total realized loss of $16.28 million. This large-scale liquidation underlines increasing selling pressure in the Ethereum market, signaling potential short-term downward volatility and heightened caution among large holders. Such whale capitulations often impact broader crypto sentiment and can trigger increased trading volumes and price fluctuations. (Source: Lookonchain, Twitter, May 19, 2025)

According to Lookonchain, a large investor sold 4 million $ai16z tokens at $0.26 each after holding for three months, realizing a loss of $1.92 million. This whale originally bought 6.51 million $ai16z at $0.57 for 18,000 $SOL ($3.68 million). Following the partial sale, the investor retains 2.51 million $ai16z (valued at $702,000). This capitulation suggests increased selling pressure and may signal further bearish sentiment for $ai16z in the near term. The event highlights significant volatility and potential downside risk, which active traders should closely monitor for potential short opportunities or to adjust risk management strategies. (Source: Lookonchain on Twitter, May 1, 2025)