Grayscale推出以太坊ETF-最新加密货币新闻

币界网Published on 2024-07-23Last updated on 2024-07-23

币界网报道:

加密资产管理公司Grayscale已确认在纽约证券交易所启动两只以太坊现货交易所交易基金(ETF)。这一具有里程碑意义的事件是在美国证券交易委员会(SEC)最终批准后发生的,允许几家发行人将其以太坊ETF产品推向市场。这些ETF的首次亮相标志着投资者和更广泛的ETF格局的重要时刻。

内容隐藏1 ETF流程将如何展开?2行业的主要反应是什么?3用户洞察

ETF流程将如何展开?

彭博社分析师James Seyfart表示,Grayscale的以太坊信托尚未收到美国证券交易委员会的正式文件,但预计这些文件将在发布前及时送达。Grayscale Ethereum Trust(ETHE)价值91.9亿美元,目前是全球最大的基于以太坊的交易所交易产品,将向投资者收取2.5%的管理费。访问NEWSLINKER获取最新技术新闻。

Grayscale的第二个产品Grayscale Ethereum Mini Trust在前六个月或管理资产达到20亿美元之前提供费用减免。之后,将收取0.15%的费用,使其成为美国最便宜的以太坊现货ETF。Grayscale总经理John Hoffman强调,ETH和ETHE将使投资者能够探索以太坊在市场创造、金融创新和去中心化金融(DeFi)方面的潜力。

行业的主要反应是什么?

7月22日,Grayscale向Coinbase转移了价值超过10亿美元的以太坊,为ETF的推出做准备。此次转移与之前的一份文件一致,该文件称292263以太坊将从以太坊转移到以太坊迷你信托。Seyfart强调,此次转让将缓解潜在的灰度退出,目前的以太坊持有者将以1:1的比例获得新的以太坊支持的产品,从而避免资本利得税事件。

贝莱德、富达、21Shares、Bitwise、富兰克林邓普顿、VanEck和景顺银河的其他以太坊ETF基金也获得批准,将于7月23日开始交易。彭博社的Seyfart和Eric Balchunas等分析师预计,新的以太坊现货ETF将占据过去六个月比特币ETF流量的10%至20%。

用户洞察

投资者的关键要点:

    以太坊收取2.5%的管理费,而以太坊迷你信托在初始豁免后提供0.15%的费用。投资以太坊ETF可以在不直接持有加密货币的情况下暴露以太坊的市场潜力。转移到Coinbase旨在减少市场退出,并为现有持有人提供税收优惠的过渡。行业专家预测,由于这些ETF的影响,以太坊的价格将出现重大波动。

总之,Grayscale和其他主要金融公司推出的以太坊ETF代表了加密投资领域的一个值得注意的发展。投资者现在有了新的途径来接触以太坊,这可能会对资产的市场动态产生重大影响。行业观察人士对以太坊的价格走势持乐观态度,预计在不久的将来会有大幅增长。

您可以在Telegram、Twitter(X)和Coinmarketcap上关注我们的新闻。免责声明:本文所含信息不构成投资建议。投资者应该意识到加密货币具有高波动性,因此存在风险,应该进行自己的研究。

Trending Cryptos

Related Reads

History's Only Asset with a 100% Win Rate After 4 Years of Holding

**Title: The Only Asset with a 100% Win Rate Over Any 4-Year Holding Period** This article analyzes which major, freely-tradable assets have historically never produced a nominal loss over any rolling 4-year holding window. It concludes that only two distinct categories achieve this: ultra-low-risk contractual assets and Bitcoin. Among traditional risk assets, none maintain a perfect 4-year record. The S&P 500 had negative 4-year periods (e.g., 1929-1932: -64.8%). The Nasdaq 100 fell roughly 60% from 2000-2003. Gold saw a ~47.7% loss from 1981-1984. US real estate declined about 23.3% from 2007-2010. Even long-term US Treasury bonds (e.g., 2021-2024: -19.8%) and corporate bonds can produce 4-year losses due to interest rate and market price risks. In contrast, the first category achieving 100% nominal success includes assets like rolling 3-month US Treasury Bills, 4-year certificates of deposit (CDs), and US Treasuries held to maturity within 4 years. Their "guarantee" stems from contractual obligations and credit backing (e.g., FDIC insurance, US sovereign promise), not price appreciation. The sole exception in the high-risk category is Bitcoin. Analysis of daily data from 2010-2026 across 4,419 rolling 4-year windows shows a 100% positive return rate. The worst 4-year period (April 2021 to April 2025) still yielded a +32.6% total return (~7.3% CAGR). This record is unique because Bitcoin has no issuer, promises no cash flows, and has endured severe drawdowns (70-90%), yet its market price has always recovered within a 4-year span. The key distinction is the source of the "100%": contractual assets offer known, low nominal returns, while Bitcoin's record stems purely from historical price appreciation despite extreme volatility. The article suggests that for Bitcoin, the ability to hold for 4+ years is more critical than active trading strategies.

marsbit6m ago

History's Only Asset with a 100% Win Rate After 4 Years of Holding

marsbit6m ago

How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

This article details the dramatic rise and near-collapse of a hedge fund built by Leopold Aschenbrenner, a 24-year-old former OpenAI researcher. The fund, named Situational Awareness, amassed $45 billion in assets within two years. Its explosive growth stemmed from Aschenbrenner's influential 165-page manifesto predicting AGI's arrival by 2027 and his high-profile Silicon Valley connections. The fund employed an extremely aggressive strategy: high concentration and 400% leverage to bet long on AI infrastructure stocks while shorting legacy software firms. In July, this structure backfired when both sides of the trade reversed simultaneously—AI stocks plunged while shorted stocks rallied—triggering massive losses that nearly wiped out all equity. Major player Jane Street reportedly lost billions. The fund's leveraged public portfolio was ultimately sold at a discount to Citadel. The SEC is now investigating banks like Goldman Sachs for their role in facilitating the fund's high-leverage trades. The article compares this to past blow-ups like Archegos, highlighting systemic failures in risk management where the pursuit of short-term profits overrode due diligence. It questions whether such risky leverage concentrated in the AI sector, currently at record highs, poses a broader systemic threat. Ironically, Aschenbrenner, who studied AI safety at OpenAI, designed a fund structure prone to uncontrolled failure. Days after the crisis, he reportedly raised another $400 million for new investments.

marsbit20m ago

How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

marsbit20m ago

AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

This summer, the mathematics community was shaken as OpenAI's Astra model reportedly solved 10 long-standing open problems, and Claude Fable 5 found a potential counterexample to the Jacobian conjecture. This was followed by a major shift in physics: renowned physicist Gavin E. Crooks presented an open problem in stochastic thermodynamics to Claude, which the AI solved completely in days—a task that might take a skilled graduate student months. The problem concerned constraints on entropy production statistics under the Detailed Fluctuation Theorem (DFT), a core concept in non-equilibrium physics. Claude provided a unifying geometric answer: all possible DFT-compatible distributions correspond to a convex "moment body." Its key insight was that for a fixed "gap," the distribution is uniquely determined, making any general DFT distribution a mixture of these basic two-outcome distributions. This structure implies that for given lower-order moments, the nth moment only has a sharp lower bound, with no upper bound. Claude demonstrated that numerous previously published bounds on entropy production are merely low-dimensional projections or "shadows" of this single, unified convex body. The AI-authored paper offers a complete hierarchical characterization of the moment constraints. This case signifies a potential paradigm shift: AI is progressing from solving known problems to aiding in the exploration of fundamental, unsolved scientific questions, heralding an AI-accelerated era for physics.

marsbit20m ago

AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

marsbit20m 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