ETH短期走势分析:反弹遇阻,震荡格局难破

ambcryptoPublished on 2026-02-27Last updated on 2026-06-18

Abstract

在ETH价格持续站稳2500美元以上之前,短期市场大概率还是以震荡为主。

以太坊(ETH)价格在周四涨到了2150美元的周内高点,这个价位受到大额ETH持有者的重点关注。不过,目前加密市场和股票市场波动较大,导致ETH价格又回调到了2000美元以下。

ETH日线收盘能否站稳2100美元,依然是当前关键。因为这个价位,和持有10万枚及以上ETH的巨鲸钱包持仓成本、已实现价格刚好一致。简单来说,已实现价格就是ETH上一次移动时的价格,主要用来判断投资者的盈利情况,不是单纯反映当前市场价格。

ETH分余额组已实现价格。来源:CryptoQuant

自2020年以来,ETH只有少数几次跌破过这些巨鲸的已实现价格,2022年熊市时最为明显。从图表能看出,每次ETH测试这个已实现价格作为支撑后,价格通常都会出现回暖。

期货市场分析师Dom认为,目前市场整体结构比较清晰,他还提到,本周初ETH价格曾接近区间低点,完成了一次扫盘。Dom表示,当时价格触及了一个月滚动VWAP(简单说就是加权成交量后的平均成交价格),以及价值区域上沿——也就是过去一个月成交量最多区间的最高价格。

Dom的以太坊价格分析。来源:X

VWAP的核心作用是衡量加权成交量后的平均成交价格。如果ETH能站稳并突破2140美元,可能意味着短期订单流向会发生变化;但如果守不住这个高位,价格就会继续在现有区间内震荡。

1800美元仍为关键关注价位

根据CoinGlass的数据,过去两天有超过2.2亿美元的空头头寸被强制平仓,市场上方的杠杆压力得到了有效缓解。目前,约26.6亿美元的多头强平风险集中在1800美元附近,形成了价格下方的流动性区域。

ETH交易所强平分布图。来源:CoinGlass

本月初,因为ETH价格走弱,很多投资者大量做空,导致ETH资金费率一度大幅下跌至负值;而本周二ETH价格跌破1800美元后,资金费率又回升至0.23%,这说明后来进场的空头已经被迫平仓离场。

不过,随着资金费率回升,投资者的仓位开始偏向多头。如果多头持仓过于集中,而且价格上涨动力出现停滞或反转,市场可能会再次面临1800美元附近的多头挤压风险。虚拟货币合约交易的高杠杆特性,会进一步放大这种仓位集中带来的波动。

市场分析师IncomeSharks指出了ETH的三道关键技术关口,包括超级趋势(SuperTrend)指标的连续阻力,以及2250美元附近的通道压力位。

IncomeShark的ETH日线图分析。来源:X

SuperTrend指标主要通过平均真实波动区间(ATR)衡量市场波动性,进而判断趋势方向。当ETH价格低于这个指标时,指标线条会变成红色,形成动态阻力。从上图能看出,ETH每次反弹都会被这个红色区域挡住,说明当前市场还是由空方主导。

该分析师补充说,投资者需要重点关注ETH是否会回调,以及能否在1500美元附近获得新的买盘支撑。1500美元处于1691美元至1384美元的周度需求区间内,在ETH价格持续站稳2500美元以上之前,短期市场大概率还是以震荡为主。

Trending Cryptos

Related Reads

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit2h ago

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit2h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit5h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit5h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit7h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit7h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片