2026-04-12 22:00 to 22:15 (UTC), ETH showed a clear downward move in a high-liquidity environment. The candlestick chart shows a return rate of -0.66%, with the price ranging from 2186.76 to 2211.25 USDT and a range amplitude of 1.11%. Market attention increased rapidly; short-term sentiment became more cautious, and volatility intensified.
The main drivers behind this unusual move are a sharp increase in exchange net inflows and concentrated selling by short-term holders. On-chain data shows that over the past 24 hours, net inflows to exchanges of ETH reached 9,567.65 coins, indicating that a large amount of capital flowed to sell-side in a short time. Combined with whale wallet transfers to exchanges, it formed a typical sell-pressure resonance. HODL Waves monitoring shows that the share of holdings among short-term users (holding less than 1 month) fell from 6.9% to 5.3% in that window, and did not shift to medium- or long-term holders, suggesting a panic-driven capitulation exit.
In addition, the transfer loss amount rose sharply to 223,782.64 ETH, indicating that many holders cut losses and exited when transferring at prices lower than the previous transfer price, intensifying local market panic. From a technical perspective, the “bear flag” formation of ETH and a breakdown of a key resistance level led some technical traders to follow the trend and stop-loss their positions. While ETF funds have returned, in an extremely short cycle they cannot form strong support; with multiple factors overlapping, short-term volatility is amplified.
Be cautious about the risks of continuous outflows of short-term funds and sentiment-driven actions by short-term holders. If exchange net inflows remain at a high level and key support levels are not effectively defended, the price may face further downside pressure. Continue to monitor large on-chain transfers, changes in short-term holdings, and shifts in the macro news environment to guard against sudden market volatility. For more market updates, please stay tuned for subsequent monitoring.