从「宁要香蕉」到卖掉八成比特币,马克·库班与加密的爱恨情仇

marsbitPublished on 2026-05-22Last updated on 2026-05-22

Abstract

亿万富翁马克·库班近期透露已出售其大部分比特币持仓,认为比特币未能有效对冲美元走弱和地缘政治风险,并直言“比特币已经迷失了方向”。 库班对加密货币的态度经历了多次转变。2019年他曾公开表示宁可要香蕉也不要比特币,质疑其内在价值。然而在2021年牛市中,他转变为积极的加密支持者,披露其投资组合约60%为比特币,并推动其拥有的NBA球队达拉斯独行侠接受狗狗币支付。同年,他在DeFi项目Iron Finance的崩盘中遭受损失,承认自己未充分评估风险。 2022年后,库班更多卷入加密领域的监管与法律纠纷,曾因推广破产的Voyager Digital而被投资者起诉,但相关诉讼于2025年底被法院驳回。他还曾考虑推出自己的Memecoin,但最终未实现。 回顾过去七年,库班从怀疑、狂热到失望的轨迹,一定程度上反映了部分市场参与者的心路历程。尽管近期地缘冲突期间比特币的短期表现令他失望,但拉长时间看,比特币自2026年2月以来仍累计上涨约16%。分析指出,库班的观点转变往往与宏观叙事和价格走势紧密相关,其未来态度可能继续随市场变化而波动。

原文作者:ChandlerZ,Foresight News

5 月 21 日,亿万富翁企业家,前 NBA 达拉斯独行侠队所有者马克・库班(Mark Cuban)在 Front Office Sports 播客中表示,其已出售了大部分比特币持仓,因为其认为比特币未能有效对冲美元走弱和地缘政治动荡带来的风险,尤其是在最近的伊朗冲突期间。「当伊朗战争引发这场大乱局时,比特币一直被视为法币贬值的最佳替代品,我一直认为它比黄金更胜一筹。然而,黄金价格飙升,比特币却下跌了。而且每当美元贬值时,比特币本应上涨,但它并没有做到这一点。」

「I think Bitcoin has lost the plot.」(我觉得比特币已经迷失了方向。)

2019:宁可要香蕉也不要比特币

马克・库班对加密的公开态度起点是怀疑。2019 年 9 月,他在 Wired 杂志的视频问答里表示,「我宁可要香蕉也不要比特币,因为我至少能把香蕉吃掉。」,之后被反复引用。彼时他把比特币类比成棒球卡、漫画书和艺术品,认为它没有内在价值,并强调加密对 99% 的人来说太复杂了。

实际上他更早就已经入场,2017 年 10 月,马克・库班在接受彭博社采访时,确实承认自己购买了比特币,并将其作为一种「有趣」的投资组合,但他当时强调自己的仓位非常小,只把它当成一场类似于收藏棒球卡或艺术品的投机赌博。

2021:从香蕉派转向六成仓位押比特币

转向发生在 2021 年牛市,这一年马克・库班从围观者变成最积极的加密代言人之一。

1 月底,他在 NFT 平台 Rarible 上铸造个人系列 The RollUp 2021,把自己穿独行侠球衣跳舞的动图上链发行。

2021 年 3 月,达拉斯独行侠成为第一支接受 Dogecoin 支付门票和周边的 NBA 球队,马克・库班的解释是「因为我们能做,这件事会带来很多 PR」。首月独行侠靠 DOGE 卖出约 12.2 万美元周边,两个月后 DOGE 冲上 0.7375 美元的历史高点。

同年他在 The Delphi Podcast 上披露过加密配置,「大约 60% 比特币、30% 以太坊、10% 其他。」并强调「我从没卖过比特币。」当时他给出的理由是比特币供应固定、去中心化,是比黄金更优秀的价值储存。

2021 年 6 月:被 Iron Finance 教育一次

牛市顶部,马克・库班被 DeFi 上了一课。

2021 年 6 月,他在个人博客发表长文《The Brilliance of Yield Farming, Liquidity Providing and Valuing Crypto Projects》,公开吹捧 Polygon 链上的算法稳定币项目 Iron Finance,并自述是 DAI/TITAN 交易对的主要流动性提供者,初始投入 7.5 万美元。几天后 TITAN 在 24 小时内从近 60 美元跌至接近零,整体协议蒸发约 20 亿美元。

IRON Finance 分析报告称,事发起因是有部分巨鲸地址开始抛售,引起用户恐慌进而大量赎回 IRON 、卖出 TITAN,又因 10 分钟 TWAP 预言机的运作方式,TITAN 现货价格与 TWAP 赎回价格相比,进一步下降,形成恶性循环,即用户赎回越多的 IRON,就有更多的 TITAN 被创造出来,使其价格不断下降,最终 TITAN 暴跌几近归零,IRON Finance 亦暂停合约赎回 USDC 。

事件发生后,马克・库班并未公开具体亏损金额,给彭博社的邮件里只说「投资额没大到需要每个细节都核对」,并称占其加密持仓比例较小。同时表示「我和大家一样被打了。讽刺的是我已经撤了一部分,以为他们的锁仓量还在涨,然后就砰一下...说到底是我自己懒。这种 DeFi 玩法本质就是收入和数学,我没把关键指标算清楚。」

2022 至 2025:和监管纠缠,被起诉又胜诉

牛熊切换之后,马克・库班的加密生活从买币变成打官司和怼监管。

加密券商 Voyager Digital 在 2022 年破产后,散户投资者把马克・库班和独行侠告上法庭,指控他通过球队合作把「庞氏骗局」卖给毫无经验的年轻人。马克・库班则在公开场合反复批评上一届 SEC 主席 Gary Gensler,表示与其逼平台过来谈谈,为什么不先给出清晰的规则。

2025 年 12 月 30 日,指控马克・库班和达拉斯小牛队通过推广 Voyager Digital 欺骗投资者的加密货币集体诉讼已被驳回。诉讼称,库班在 Voyager 于 2022 年申请破产保护之前多次对该公司进行虚假宣传。库班及其法律团队 Brown Rudnick 在声明中表示,「该诉讼依据多项州证券法和消费者欺诈法规提出指控。12 月 30 日美国佛罗里达南区联邦地区法院法官 Roy K. Altman 已全面驳回该案。」

2025 年,这位亿万富翁还曾考虑推出自己的 Memecoin,但最终没有落地。在他最近一次对加密货币发表评论时,表示对加密货币的失望源于 NFT 和以太坊,尽管这种失望程度不及他对比特币现状的反感。

一个人,七年,三次反转

自 2026 年 2 月美伊冲突初现以来,比特币累计仍上涨约 16%,黄金反而下跌约 15%,以太坊上涨约 9%。马克・库班看到的是战争升级那几天的瞬时画面,时间窗口拉长,比特币其实跑赢了黄金。这并不能否定他的失望,只是说明他这次的判断,依然是一个高度依赖时间窗口的情绪决策。

马克・库班这七年走完的弧线,几乎就是过去一轮散户从怀疑到狂热再到失望的标准模板。下一次他改变主意的时间点,多半还是会被宏观叙事和价格走势同步触发。

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Related Questions

Q马克·库班在2025年12月宣布出售大部分比特币持仓的主要原因是什么?

A主要原因是他认为比特币未能有效对冲美元走弱和地缘政治动荡带来的风险。他举例说,在最近的伊朗冲突期间,黄金价格飙升而比特币却下跌了,这与比特币作为“法币贬值最佳替代品”的预期不符,让他感到失望。

Q马克·库班在2019年对加密货币持何种公开态度?他当时如何比喻比特币?

A马克·库班在2019年对加密货币持公开怀疑态度。他当时表示“我宁可要香蕉也不要比特币,因为我至少能把香蕉吃掉”,并将比特币类比为没有内在价值的收藏品,如棒球卡、漫画书和艺术品。

Q在2021年牛市中,马克·库班在加密领域的哪些具体行为标志着他成为积极的加密代言人?

A他主要做了三件事:1. 在NFT平台Rarible上铸造个人系列The RollUp 2021。2. 使其拥有的达拉斯独行侠队成为第一支接受狗狗币(DOGE)支付门票和周边的NBA球队。3. 公开披露其加密资产配置为大约60%比特币、30%以太坊、10%其他,并强调从未卖出过比特币。

Q2021年6月,马克·库班在哪个DeFi项目上遭遇重大损失?他事后如何总结这次教训?

A他在Polygon链上的算法稳定币项目Iron Finance上遭遇重大损失。他事后总结道,自己“和大家一样被打了”,并承认这次失败是因为自己“懒”,没有把DeFi玩法中关键的指标(即收入和数学)算清楚。

Q文章提到马克·库班在2022年至2025年间涉及哪起法律纠纷?最终结果如何?

A他因推广加密券商Voyager Digital而被散户投资者告上法庭,指控他通过达拉斯独行侠队的合作推广“庞氏骗局”。2025年12月30日,美国佛罗里达南区联邦地区法院法官Roy K. Altman已全面驳回了这项针对他的集体诉讼。

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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.

733 Total ViewsPublished 2025.01.14Updated 2025.01.14

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