Large-Scale ETH Sell-Off by Major Holder: 35,881 ETH Converted to USDT
According to EmberCN, a significant Ethereum holder has sold 35,881 ETH for 56.05 million USDT within the last two hours, with an average selling price of $1562. This extensive sell-off suggests a potential complete liquidation rather than just a deleveraging move. The holder originally had 65,000 ETH as of March 11.
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In a significant development on April 10, 2025, a major Ethereum (ETH) holder, referred to as '老哥' (Brother), executed a substantial sell-off of his ETH holdings. Over the past 20 minutes, he sold 9,000 ETH for 14.01 million USDT, as reported by EmberCN on Twitter at 10:45 AM UTC (EmberCN, 2025). This move follows a broader sell-off where he disposed of 35,881 ETH for 56.05 million USDT within the last two hours, with an average selling price of $1,562 per ETH (EmberCN, 2025). On March 11, 2025, this whale held 65,000 ETH, indicating a significant reduction in his position (EmberCN, 2025). This sell-off has immediate implications for the ETH market, as it represents a notable shift in the supply dynamics of the cryptocurrency.
The trading implications of this sell-off are multifaceted. Immediately following the sale of 9,000 ETH at 10:45 AM UTC, the price of ETH experienced a 2.5% drop from $1,565 to $1,526 within 15 minutes, as recorded by CoinMarketCap at 11:00 AM UTC (CoinMarketCap, 2025). This price movement was accompanied by a surge in trading volume, with ETH/USDT trading pair volume increasing by 30% to 1.2 billion USDT in the same timeframe (Binance, 2025). The ETH/BTC pair also saw increased activity, with a 20% rise in volume to 5,000 BTC (Kraken, 2025). On-chain metrics further indicate heightened activity, with the number of active addresses on the Ethereum network rising by 10% to 500,000 within the hour following the sell-off (Etherscan, 2025). These metrics suggest a market reacting to the whale's actions, potentially leading to increased volatility.
Technical indicators and volume data provide further insight into the market's response. The Relative Strength Index (RSI) for ETH dropped from 65 to 58 within 30 minutes of the sell-off, indicating a shift towards a more neutral market sentiment (TradingView, 2025). The Moving Average Convergence Divergence (MACD) also showed a bearish crossover at 11:15 AM UTC, suggesting potential downward momentum in the short term (TradingView, 2025). Trading volume across major exchanges like Binance and Coinbase saw a 25% increase to 2.5 billion USDT in the hour following the sell-off (Coinbase, 2025). These technical indicators and volume data underscore the market's sensitivity to large-scale sell-offs and the potential for further price adjustments.
In the context of AI developments, there has been no direct correlation with this specific sell-off event. However, the broader crypto market sentiment can be influenced by AI-driven trading algorithms, which may have contributed to the increased trading volumes observed. AI-driven trading bots, which account for approximately 30% of total trading volume on major exchanges, could have exacerbated the price drop and volume surge following the whale's sell-off (Kaiko, 2025). Monitoring AI-driven trading volume changes remains crucial for understanding market dynamics, especially in the wake of significant whale movements like this one.
The trading implications of this sell-off are multifaceted. Immediately following the sale of 9,000 ETH at 10:45 AM UTC, the price of ETH experienced a 2.5% drop from $1,565 to $1,526 within 15 minutes, as recorded by CoinMarketCap at 11:00 AM UTC (CoinMarketCap, 2025). This price movement was accompanied by a surge in trading volume, with ETH/USDT trading pair volume increasing by 30% to 1.2 billion USDT in the same timeframe (Binance, 2025). The ETH/BTC pair also saw increased activity, with a 20% rise in volume to 5,000 BTC (Kraken, 2025). On-chain metrics further indicate heightened activity, with the number of active addresses on the Ethereum network rising by 10% to 500,000 within the hour following the sell-off (Etherscan, 2025). These metrics suggest a market reacting to the whale's actions, potentially leading to increased volatility.
Technical indicators and volume data provide further insight into the market's response. The Relative Strength Index (RSI) for ETH dropped from 65 to 58 within 30 minutes of the sell-off, indicating a shift towards a more neutral market sentiment (TradingView, 2025). The Moving Average Convergence Divergence (MACD) also showed a bearish crossover at 11:15 AM UTC, suggesting potential downward momentum in the short term (TradingView, 2025). Trading volume across major exchanges like Binance and Coinbase saw a 25% increase to 2.5 billion USDT in the hour following the sell-off (Coinbase, 2025). These technical indicators and volume data underscore the market's sensitivity to large-scale sell-offs and the potential for further price adjustments.
In the context of AI developments, there has been no direct correlation with this specific sell-off event. However, the broader crypto market sentiment can be influenced by AI-driven trading algorithms, which may have contributed to the increased trading volumes observed. AI-driven trading bots, which account for approximately 30% of total trading volume on major exchanges, could have exacerbated the price drop and volume surge following the whale's sell-off (Kaiko, 2025). Monitoring AI-driven trading volume changes remains crucial for understanding market dynamics, especially in the wake of significant whale movements like this one.
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@EmberCNAnalyst about On-chain Analysis