According to Lookonchain, swing trader address 0x8062 panic-sold 2,277 ETH for about $9.57 million at $4,203 during the market drop, incurring high on-chain slippage and realizing approximately $4.04 million in profit. Source: Lookonchain on X, Aug 18, 2025. The wallet reference provided is debank.com/profile/0x8062, which Lookonchain cites for the on-chain transaction details. Source: Lookonchain on X; DeBank profile debank.com/profile/0x8062.

According to @lookonchain, the address labeled "0x17E0" sold 4,958 ETH for approximately $22.13M at $4,463 during a market dip about five hours ago, confirming a large-lot exit that hit the market. Source: @lookonchain on X: x.com/lookonchain/status/1956189691465884168. The realized profit totals $9.75M, implying an estimated entry cost near $2,496 per ETH based on the reported sale price and profit figures. Source: @lookonchain on X: x.com/lookonchain/status/1956189691465884168. Traders may reference the $4,463 level as a recent heavy-supply zone where significant size cleared, which can act as a near-term liquidity and potential resistance area for ETH price action. Source: analysis based on the transaction reported by @lookonchain on X: x.com/lookonchain/status/1956189691465884168. Monitoring subsequent on-chain flows from the address labeled as a hacker by @lookonchain can help gauge follow-on sell or buy pressure and manage intraday volatility risk in ETH. Source: event data via @lookonchain on X: x.com/lookonchain/status/1956189691465884168.

According to Ai 姨 (@ai_9684xtpa), after Binance Alpha announced the listing of f2b $Broccoli, the price of the f3b Broccoli token plummeted by 48%. A wallet with the address 0x3c6...8f3bb sold $224,000 worth of tokens in a panic sell-off. Despite the drop, the wallet holder still made a profit of $170,000 from previous accumulation over the last four days at an average cost of $0.01375. However, they missed out on an additional $30,000 compared to the current price.

According to Ai 姨, a significant trader lost $2.25 million over a 17-hour period by trading $TRUMP. Initially, the trader bought 76,566 $TRUMP tokens at $66.7 each, spending $5.1078 million. Following a meme post by a public figure's spouse, the token price halved, prompting a panic sell at $32.17, resulting in a $2.64 million loss. Subsequently, the trader repurchased 67,246 tokens with $2.46 million, attempting to capitalize on a potential rebound.

According to Ai 姨 (@ai_9684xtpa), a major whale investor experienced a significant loss of $2.25 million over a 17-hour trading period involving the $TRUMP token. Initially, the investor spent $5.1078 million to purchase 76,566 $TRUMP tokens at a price of $66.7 each. However, following a meme posted by 'Trump's wife' that caused a dramatic price drop, the investor panic-sold all tokens at $32.17, realizing a loss of $2.64 million. Attempting to recover, the investor bought back 67,246 tokens for $2.46 million when noticing a potential rebound, despite significant slippage.

According to @ai_9684xtpa, a whale incurred a loss of $2.25 million within 17 hours by trading the $TRUMP token. Initially, the whale purchased 76,566 $TRUMP tokens at a high price of $66.7, spending $5.1078 million. However, following a meme posted by Trump's wife, the price halved, prompting the whale to panic-sell at $32.17, resulting in a loss of $2.64 million. The whale later repurchased 67,246 tokens for $2.46 million, indicating a significant price slippage and potential price rebound.