According to @EmberCN, an ETH long trader nicknamed Maji now shows about $1.35 million in unrealized profit after ETH’s overnight rebound, following an earlier liquidation that wiped returned profits, providing a real-time snapshot of leveraged positioning in Ethereum (ETH) futures. source: @EmberCN on X, Dec 10, 2025. According to @EmberCN, the trader began rolling long positions around $2,840 on Dec 2, printed approximately $2.84 million in profit by Dec 4, then saw those gains erased and the account liquidated during a pullback on Dec 6. source: @EmberCN on X, Dec 10, 2025. According to @EmberCN, the current liquidation price on the trader’s rolling long is $3,212, which was only about $100 away from spot at the time of posting, highlighting how the liquidation threshold has risen with increasing position size. source: @EmberCN on X, Dec 10, 2025.

According to Lookonchain, the address known as BitcoinOG (1011short) flipped from long to short and opened a 5x short on 5,000 ETH with an estimated notional of $15.04M on Nov 29, 2025 (source: Lookonchain). According to Lookonchain, the position’s reported liquidation price is $5,056.5 (source: Lookonchain).

According to @OnchainLens, the wallet labeled Bitcoin OG (10/11) opened a 5x leveraged ETH short worth about $15M. Per @OnchainLens citing hyperbot.network, the position size is 5,000 ETH with an entry price of $3,001.81 and a liquidation level at $5,056.50. Based on the notional reported by @OnchainLens, each 1% move in ETH implies roughly $150,090 in mark-to-market PnL for this short. Based on the $15M notional and 5x leverage reported by @OnchainLens, the implied initial margin is approximately $3.00M. Using the entry and liquidation levels reported by @OnchainLens, the liquidation price sits about 68.4% above entry, defining the risk band for this position. @OnchainLens also notes the trader may increase size further, and monitoring the address via hyperbot.network/trader/0xb317d2bc2d3d2df5fa441b5bae0ab9d8b07283ae could flag any scaling activity reported by @OnchainLens.