Ethereum Whale Nets $11M Profit on Massive 20x Long Bet
A crypto whale's 50,000 ETH leveraged position surges to $11.29M profit amid Ethereum's bullish rally, highlighting whale activity in volatile markets.
SourceA savvy Ethereum whale just locked in over $11.29 million in floating profits from a daring 20x leveraged long position on 50,000 ETH, valued at $111.9 million. This move underscores the high-stakes plays dominating crypto trading floors as Ethereum's price climbs steadily. Traders tracked the wallet via on-chain data, revealing how institutional-sized bets fuel market momentum in this rebound phase.
Whale Strategies in Ethereum's Recent Surge
Ethereum has rebounded sharply from its mid-2025 lows, when regulatory pressures from global watchdogs squeezed liquidity. Over the past six months, spot ETF approvals and layer-2 scaling advancements propelled ETH above key resistance levels. This whale's position, initiated amid that volatility, exemplifies how leveraged trades amplify gains—and risks—in a market where Ethereum and crypto trading volumes hit record highs last quarter.
From a technical confluence perspective, Ethereum's 4-hour chart paints a compelling bullish narrative for institutional desks eyeing entries. Price action at $2248.26 hovers comfortably within the Bollinger Bands, flirting with the upper resistance at $2269.15 while the lower support at $2162.02 acts as a firm volatility floor—suggesting exhaustion isn't imminent but a test of highs could trigger short-term profit-taking. The MACD's golden cross at 27.57 screams sustained upside momentum, converging beautifully with the bullish EMA structure where the 50-period at $2156.92 provides immediate support and the 200-period at $2090.69 anchors the longer-term trend. RSI at 64.54 sits neutral, avoiding overbought signals, which sets up a probable grind higher unless external macro shocks intervene; I'd advise clients to watch for a dip-buy at that 50-EMA confluence before chasing the next leg up.
Onchain Lens
@OnchainLensSimplifying onchain data for the masses