以太坊跑赢比特币,却为何始终破不了前高?

ambcryptoPublished on 2025-07-10Last updated on 2026-08-23

Abstract

以太坊就像一场安静的龙卷风一样旋转,但仍在等待挣脱。

在风险偏好逐步回升的背景下,以太坊(ETH)正在悄悄走出一条“偏离轨道”的路径。

第三季度刚刚开局,ETH 价格已累计上涨近 30%,涨幅是比特币(BTC)的三倍。ETH/BTC 汇率也同步上涨了 20%,而 Bit Digital 选择将 280 枚 BTC 兑换为 ETH,更是强化了这种市场信号——聪明资金正在轮动。

整体来看,以太坊延续了第二季度的良好势头,进入第三季度表现依然强劲,整体表现比 BTC 高出 1.2 倍。机构方面,五家国库级别的钱包地址目前共持有 24 万枚 ETH;贝莱德持有超 44 亿美元的 ETH,占据市场 ETF 总份额的 42%;甚至在特朗普的公开持仓中,ETH 也占据了 95%。这一切都为 ETH 的上涨构建了一个典型的“供应侧紧缩”场景。

但问题也随之而来——ETH 的强势,究竟是结构性反转的开始,还是比特币主导周期中的又一次短暂背离?

ETH 表现亮眼,但离“真正的突破”还有距离

尽管近期表现不俗,但 ETH 与历史高点仍有巨大距离。当前价格依然比 2021 年高点(4,891 美元)低了约 43%,而 BTC 在过去几个月已三次刷新历史新高,最新一次是 7 月 9 日创下的 111,936 美元。

同时,以太坊在整体市场的主导地位也未见显著提升,目前维持在 10% 左右,远低于比特币超 60% 的份额。ETH/BTC 的比值仍处于压制状态,距离今年初创下的 5 年低点仅反弹了不到一半。

虽然 ETH 刚刚突破了 2,815 美元的重要阻力位,并试图冲击 3,000 美元关口,但在 BTC 稍有风吹草动时,ETH 是否还能保持独立趋势,仍是未知数。

市场信心在增强,但结构性问题仍未解决

很多人认为,ETH 当前面临的不只是价格问题,而是一种“身份认同危机”。

比特币早已确立了其“数字黄金”与“主权货币”式的单一定位,而以太坊则同时扮演着公链平台、DeFi 生态、L2 基础设施等多重角色。这种“多重功能”带来了增长潜力,但也使它在投资逻辑上缺乏清晰叙事。

尽管过去半年 ETH 经历了几次协议升级,但链上需求增长有限,日活地址、Gas 费用和链上交易量等关键指标并未同步走强。这使得它在价格表现上始终受制于比特币的周期性波动。

一个典型例子是今年 5 月:在 BTC 从高点回调时,ETH 表现反而更弱,跌幅达到 24%,是 BTC 同期的两倍。也就是说,哪怕 ETH 的基本面在增强,它仍然没能真正摆脱 BTC 的“主导权”。

总结:ETH 的强势是开始,还是错觉?

第二季度以来,ETH 的确展现出了优于 BTC 的表现,资金轮动迹象明显,机构参与度持续走高,供给面偏紧,价格结构正在改善。

但只要它仍与 BTC 保持高度相关、叙事模糊、链上需求不振,那么任何短期的上涨,最终都可能沦为 BTC 主导节奏下的一次“短暂脱轨”。

真正的突破,不仅仅是价格上的新高,更是结构性关联的脱钩。在这点上,以太坊,还差一个“独立行情”的证明。

Trending Cryptos

Related Reads

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit2h ago

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit2h ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit2h ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit2h ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit2h ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit2h ago

Trading

Spot

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