木头姐6月抄底7700万美元,加密股票真的是比特币的“平替”吗?

marsbitPublished on 2026-07-06Last updated on 2026-07-06

Abstract

ARK Invest 6月累计购入价值7700万美元的加密上市公司股票,包括Coinbase、Circle和Bullish。文章分析指出,加密股票并非比特币的理想“平替”。数据显示,9家美股加密企业的波动率远高于比特币,且与比特币的相关性普遍不高,意味着投资者除承担币价风险外,还需叠加企业经营、行业竞争等特有风险。 具体来看,只有MicroStrategy(MSTR)与比特币高度相关,可视为加杠杆的比特币替代品;Coinbase联动性次之;Circle则与比特币相关性最低,其股价波动更多受自身业务竞争影响;Robinhood因业务多元,与加密行情关联较弱;部分矿企则因转型AI算力业务,年内股价逆势上涨。 文章以Strategy为例,说明持有加密股票还需面对股权稀释、估值溢价消失等额外风险。ARK的加仓行为被视作在深度回调后布局不同商业模式的组合,但数据表明,加密股票要么放大比特币波动,要么引入与币价无关的企业风险,直接持有比特币可能更为纯粹。

撰文:Andjela Radmilac,cryptoslate

编译:Luffy,Foresight News

Cathie Wood 执掌的 ARK Invest 6 月累计购入价值 7700 万美元的加密上市公司股票。根据 ARK 每日交易披露数据,在比特币四年最差月度行情中,该基金加仓 4400 万美元 Coinbase、2525 万美元 Circle,以及 820 万美元 Bullish。

Wood 与多家机构多年来坚持同一套投资逻辑:加密上市公司为投资者提供合规渠道,无需直接持有比特币,就能分享加密行业周期红利。但 CryptoSlate 截至 7 月 2 日的行情数据分析,揭露了这条股票投资路径隐藏的巨大代价。

9 家美股加密企业年化 30 日实际波动率区间为 68%–90%,几乎是比特币 37.6% 波动率的两倍。拉长至 90 日维度,Circle 波动率高达 103.6%,比特币仅 37.8%。股价回撤差距同样显著:Circle 较高点回撤 51.4%,MSTR 回撤 48.6%,Bullish 回撤 43.6%;而比特币从 1 月近 97000 美元高点回落 36.4%,跌幅全部小于上述个股。

2026 年 1 月 1 日至 7 月 2 日期间 BTC、ETH 和九只在美国上市的加密公司股票的 30 天年化已实现波动率

单看波动率,加密股仿佛是加杠杆的比特币,但相关性数据揭示了完全不同的真相。过去 90 个交易日,Circle、Robinhood、Bullish 与比特币相关系数仅 0.55–0.58(相关性区间为 0 至 1,1 代表走势完全同步,0 代表无关联),意味着币价波动仅能解释加密公司股票约三分之一的波动,剩余波动全部来自企业独有风险:季度财报、行业竞争、融资行为、增发稀释股权等。 投资者本想借股票布局加密行业,结果只拿到部分币价敞口,还额外背负一整套股票市场独有的经营风险。

只有一只股票真正追踪比特币

下表统计 2025 年末至今,加密公司股票于比特币的相关性。贝塔系数代表比特币每波动 1%,对应个股涨跌幅。

全市场只有 MSTR 称得上比特币替代标的。贝塔 1.59、相关性 0.85,意味着它本质是加杠杆持有比特币的权益工具。本轮下跌行情中,其年内跌幅与高点回撤幅度均远超比特币。

Coinbase 是相对均衡的选择,年内跌幅 - 26.8% 略小于 BTC,贝塔系数 1.26、相关系数 0.75,板块内和比特币联动性第二强。但它的波动率依旧接近比特币两倍,股价较 2025 年 7 月 419.78 美元历史高点下跌 60.6%,在该高点买入的投资者亏损,远大于 2025 年 10 月比特币历史高点入场的持有者。

Circle 完美诠释 「加密外衣下的企业风险」。它与比特币相关性全板块最低,90 日波动率最高。导火索发生在 6 月 30 日:由 Coinbase、Stripe、Visa、万事达、贝莱德等 140 余家企业联合背书的 Open USD 稳定币正式推出,CRCL 单日暴跌 17.5%。这次大跌和比特币行情几乎毫无关联,纯粹是稳定币赛道份额竞争带来的企业独有利空。

Robinhood 则是反面案例,同样印证个股业务独立于加密行情。该股年内仅微跌 0.3%,年内最大回撤仅 8.5%。加密业务只是其股票、期权、衍生品经纪大盘子里一小块,多元化业务缓冲了下跌;但反过来,加密牛市阶段,它也很难给投资者带来充足币价收益。

矿企走势最为反常。比特币年内下跌 29.5%,RIOT 大涨 74.5%,MARA 上涨 38.1%,CleanSpark 涨 24.7%。核心逻辑是矿企转型 AI 高性能算力服务商,签下数百亿美元算力租赁合约、持续减持库存比特币。尽管它们单日行情仍跟随比特币波动(贝塔系数均大于 1),但全年收益完全由 AI 托管业务驱动,和币价脱钩。

BTC、ETH 和九只在美国上市的加密货币股票的年初至今价格变化

比特币本身波动并不小。Volmex 的比特币 30 日波动率指数 5 月下旬最低至 24.5,2 月初峰值 68.7,7 月初回升至 41.6。即便如此,绝大多数加密股票波动率依旧翻倍。

Strategy 案例:股权结构带来额外风险

持有比特币只需要承担币价涨跌风险;买入加密上市公司股票,还要叠加企业经营、股权稀释、估值溢价消失、融资压力、资本结构变动等多重变量。

Strategy 近期一个月集中暴露了所有隐患。6 月末其市净率倍数(mNAV)首次跌破 1,该指标衡量企业总估值对比公司净资产。倍数低于 1,代表市场给整个公司的估值,不如它手里持有的现金与比特币值钱。截至 6 月 22 日披露,Strategy 持有 847363 枚比特币,mNAV 跌破 1 当日,这批比特币价值约 500 亿美元。

mNAV 大于 1 是 Strategy 整套增长飞轮的根基。过去公司可以溢价增发普通股、优先股,募资后继续增持比特币,提升每股持仓量。一旦 mNAV 跌破 1,这套循环会反向侵蚀股东价值 —— 增发股份换取资金买币,等同于折价出售存量比特币资产。

CryptoSlate 早在 1 月就报道过,比特币持仓公司分为估值溢价型与折价型。 6 月末 Strategy 总市值 295.4 亿美元,不足 2024 年超 710 亿美元峰值的一半,四类优先股全部跌至历史低位。

Strategy 出台应对方案,6 月 29 日宣布最高 12.5 亿美元股票回购计划,同时授权抛售比特币补充流动性,覆盖优先股分红与债务利息。此前几周,该公司于 6 月 1 日进行了自 2022 年以来的首次比特币出售,仅售出 32 枚比特币。消息发布后该股单日大涨 12.6%,终结八连阴。 全球最大比特币持仓企业,竟需要在熊市抛售筹码换取现金流,这是直接持有比特币不会遇到的约束,也是股票独有的风险。

这正是 ARK 逆势加仓的背景。6 月 25 日,加密股集体大跌之际,Wood 旗下基金单日买入 327 万美元 Robinhood,同步加仓 Coinbase、Circle、Bullish。Wood 认为比特币的长期目标价在百万美元级别,当下正在大幅折价布局 2025 年高点以来深度回调的加密上市公司。

数据揭示了这些公司的真实面貌。

  • Strategy = 加杠杆比特币 + 股权稀释风险;
  • Circle = 稳定币赛道支付企业,深陷份额争夺战;
  • Robinhood = 综合券商,加密只是副业。

Wood 一揽子买入这些公司股票,本质是押注不同商业模式组合,各家加密敞口强弱天差地别。

每只个股都有独立投资逻辑,Coinbase 年内跑赢比特币,Robinhood 守住了年初价格,矿企板块整体收益领跑。但核心问题依旧,买入加密股票,真的比直接持币风险更低?

九家上市公司数据显示,股票要么放大比特币波动率,要么叠加和币价无关的企业经营风险。

今年真正强势的加密货币股票,依靠的是 AI 算力、经纪流量、支付产品等独立增长业务,比特币仅为次要影响因素。

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Related Questions

QARK Invest在2026年6月主要购入了哪些加密上市公司的股票,总价值是多少?

AARK Invest在2026年6月累计购入了价值7700万美元的加密上市公司股票,主要包括4400万美元的Coinbase、2525万美元的Circle以及820万美元的Bullish。

Q文章指出,相较于直接投资比特币,购买加密上市公司股票的主要额外风险是什么?

A相较于直接投资比特币仅需承担币价涨跌风险,购买加密上市公司股票还需额外承担企业经营风险、股权稀释风险、估值溢价消失、融资压力、资本结构变动等多重公司特有风险。

Q根据文章分析,在提到的加密上市公司中,哪一只股票与比特币的相关性最高,被认为是加杠杆的比特币权益工具?

A根据文章,MicroStrategy(MSTR)与比特币的相关性最高,其贝塔系数为1.59,与比特币的相关系数为0.85,被认为是加杠杆持有比特币的权益工具。

Q文章提到Robinhood(HOOD)的股价表现与比特币走势关联度较低,其主要原因是什么?

ARobinhood股价表现与比特币走势关联度较低的主要原因是,加密业务只是其庞大的股票、期权、衍生品经纪业务中的一小部分,多元化的业务结构缓冲了加密市场的下跌影响,但也使其在牛市时难以提供充足的币价收益。

Q文章如何解释部分加密货币矿企(如RIOT、MARA)在比特币下跌时股价反而上涨的现象?

A部分加密货币矿企(如RIOT、MARA)在比特币下跌时股价反而上涨,主要是因为这些公司正在向AI高性能算力服务商转型,通过签署数百亿美元的算力租赁合约以及持续减持库存比特币,其全年收益已主要由AI托管业务驱动,从而与比特币价格脱钩。

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What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

766 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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