Between 18:00 and 18:15 (UTC) on 2026-03-31, the ETH price traded within a range with a volatility amplitude of 0.71% (2093.36 - 2108.15 USDT), and the return rate recorded +0.69%. During this period, market attention increased; short-term longs held the upper hand. Heightened fluctuations on the board have prompted investors to closely monitor the situation.
The primary drivers behind this unusual move are the rapid inflow of funds into the derivatives market and an increase in trading volume. In March 2026, ETH derivatives trading volume remained consistently higher than spot. Active leveraged funds boosted risk appetite. At the same time, on-chain data shows that during the price-movement window, some large wallets increased their holdings in a concentrated manner, supporting the assessment of institutional buying. ETF fund flows also recorded net inflows before and after the unusual-move window, further boosting ETH’s short-term price performance.
In addition, since the beginning of 2026, trading volume on the ETH network has remained at a high level. Growth in active users and the number of new wallets has strengthened network effects. Layer 2 scaling solutions (such as Base, Arbitrum, Optimism) have been fully deployed, keeping transaction costs extremely low (average gas fees of about $0.15), significantly improving transaction efficiency and attracting ongoing capital inflows. Meanwhile, DeFi protocols have seen a sharp rise in on-chain activity, providing support for spot buying on the demand side. Multiple factors converging have amplified ETH volatility.
Current volatility risk should not be overlooked. Some large wallets hold concentrated positions; if there is subsequent capital outflow or coordinated liquidation, the risk of a short-term pullback in price will increase. In addition, the high-leverage structure in the derivatives market increases the probability of extreme moves, and fluctuations in ETF fund flows also need to be closely monitored. Going forward, attention should focus on the performance of key support levels, the direction of on-chain capital flows, and trends in macro risk events, while watching for potential impacts on trading efficiency from technical issues, and continuously tracking market dynamics.
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