比特币新高了,以太坊还没有, 3.2 万美元何时来?

ambcryptoPublished on 2025-07-10Last updated on 2025-07-10

Abstract

ETH 的投机兴趣超过 BTC – 它能推高价格吗?

关键要点

  • 富达将 ETH 视为一种价值储存手段,类似于新兴经济体的货币。ETH的交易量和投机兴趣曾一度超过 BTC。
  • 以太坊 [ETH]引起了华尔街的充分关注,资产管理公司富达现在将 ETH 视为价值存储(SoV)和财富保值的替代品。

该资产管理公司在其最新报告中表示, “以太币可用于支付以太坊区块链上的任何交易,无论交易类型如何……以太币可以作为交换媒介和价值储存手段。”

富达补充说,区块链具有嵌入式货币(以太坊网络的 ETH),因此应该与主权国家及其经济体进行比较,而不是 Web 2 公司。

该公司还强调,ETH 是交易所交易最活跃的资产,也是“主要的借贷资产”。

市场反应

上述更新被视为对 ETH 的宽慰和信任。2024 年,ETH 经历了与 BTC 的大规模市场脱节和分化。

当时,该山寨币因不像 BTC 那样具备价值存储功能而承受着巨大的压力。它兑 BTC 下跌了近 70%,甚至落后于Solana [SOL]。

因此,富达的报告受到了欢迎,尤其是支持 ETH 的成员。

针对该报告,以太坊教育者 Sassal称其为“看涨”,并指出 ETH 被低估了。

“ETH 是一项价值 100 万亿美元的资产,交易价格为 3160 亿美元。”

最近,在预期稳定币繁荣和互联网资本市场(链上股票)的背景下,分析师对 ETH 做出了看涨预测。

在富达更新之后,ETH 情绪攀升至“贪婪”水平,上涨 2.8% 至 2.6 万美元。

总体而言,根据 CoinGlass 的数据,日益增长的积极情绪已引发 ETH 在每日交易量和投机兴趣方面超越 BTC 。

值得注意的是,截至发稿时,ETH 的未平仓合约 (OI) 率上涨了 7%,而 BTC 的未平仓合约率则下跌了 0.18%。这凸显了期货市场对 ETH 的巨大需求。

同期,衍生品交易量飙升至 590 亿美元,比 BTC 多出约 30 亿美元。如果这一趋势持续下去,就投资者回报而言,ETH 短期内可能超越 BTC。

也就是说,第三季度末 (Q3) 的市场倾向看涨,看跌/看涨比率为 0.44,突显看涨期权(看涨押注)高于看跌期权(看跌押注)。

大多数看涨目标分别为 2.8 万美元和 3.2 万美元,最大痛苦价格(潜在底价,期权合约到期毫无价值)约为 2 万美元。

总体而言,ETH 在第三季度仍可能低于 3000 美元,但期权交易员仍在押注其可能出现突破。

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.

marsbit3h ago

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

marsbit3h 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.

marsbit3h ago

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

marsbit3h 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