From 21:00 to 21:15 (UTC) on June 8, 2026, ETH/USDT surged rapidly within 15 minutes, with a return of +1.18%. The price ranged from 1,689.6 to 1,714.03 USDT, with a 1.45% amplitude. After the price gained follow-through in a key technical support zone, it quickly moved higher, and trading sentiment clearly warmed up.
The main driver behind this abnormal move is a combination of technical rebound demand and the critical state of funding rates. In May 2026, ETH fell cumulatively by 12.6%, and after the price retreated into the $1,600 range it built up technical repair momentum. The 8-hour average funding rate stayed at a slight long bias of 0.0035%, indicating the market sentiment is at a tipping point—small-scale buy orders can push the price up quickly. As the price lifts slightly, long positions in the perpetual futures market generate profit effects, attracting trend followers to enter, forming a short-term positive feedback loop.
In addition, the cooperation effect from whale behavior should not be ignored. In June 2026, the whale cohort shows signs of differentiation: some large holders tend to accumulate at lower prices rather than sell. If, during 21:00–21:15, there are large transfers of ETH to cold wallets, it will reduce exchange-available circulating supply and support the upward move in price. After the May ETH spot ETF saw net outflows of $40,162.0 million, the outflow trend eased somewhat in early June, and the marginal selling pressure weakened, providing room for a rebound. Around $6.23 billion in liquidation risk below $1,925 forms a “liquidity wall.” Traders place protective buy orders above that zone, which objectively provides price support.
Next, watch the liquidation risk as price rises toward $1,925. If it breaks down, it will trigger large-scale long liquidations, which could cause prices to fall rapidly. The medium- to long-term trend still appears weak, with both the 50-day moving average and the 200-day moving average in a declining trend. It is recommended to monitor on-chain whale fund flows, changes in ETF fund flows, and technical performance around key support levels.