特朗普行政命令后,Ripple申请美联储主账户事宜获得新动力

bitcoinistPublished on 2026-05-21Last updated on 2026-05-21

Abstract

美国总统特朗普签署行政命令,要求美国金融监管机构评估是否应让金融科技和加密相关公司更广泛地接入核心支付基础设施。这为瑞波(Ripple)寻求获得美联储主账户以支持其RLUSD稳定币战略的努力注入了新动力。该命令将这一长期行业争议推向华盛顿金融政策议程的核心。 命令要求美联储在120天内评估法律和政策框架,研究是否允许未受保的存款机构及非银行金融公司(包括从事数字资产业务者)接入联储支付账户和服务,并检视地区联储银行在审批申请时能否独立决策。 对瑞波而言,时机关键。该公司已于2025年7月申请美国国家银行章程并寻求联储主账户,以直接接入央行支付系统并持有RLUSD储备。此前,Kraken Financial已率先获得有限用途的联储主账户,而Custodia Bank的申请则曾遭拒并引发诉讼。联储也在探讨为支付创新机构设立限制性“支付账户”的方案。 特朗普的命令虽未直接批准瑞波申请,但将政策辩论纳入正式时间表,核心问题是:构建加密支付和稳定币基础设施的公司是否应继续依赖银行中介,还是应获得有限制的直接接入美元结算体系的权限。

美国总统唐纳德·特朗普已签署一项行政命令,推动美国金融监管机构并要求美联储采取行动,审查金融科技和加密相关公司是否应获得更广泛的核心支付基础设施准入。对于Ripple而言,该公司一直在寻求为其RLUSD稳定币战略配套的美联储主账户,此命令将使这场长期的行业斗争更接近华盛顿金融政策议程的中心。

这项发布于5月19日、名为"将金融科技创新融入监管框架"的命令将问题框定为竞争和现代化议题。命令称:"联邦政府必须更新法规,以允许数字资产和创新技术融入传统金融服务和支付系统。联邦政府还必须消除过度繁重和碎片化的监管及监督做法,这些做法形成了市场准入壁垒,并主要使现有的金融服务公司受益。"

对加密货币公司而言,最重要的部分是涉及美联储服务的章节。该命令要求美联储评估未参保的存款机构和非银行金融公司(包括从事数字资产业务的公司)接入联邦储备银行支付账户和支付服务的法律、监管和政策框架。美联储被要求在120天内提交调查结果和建议,包括现有法律是否允许扩大准入范围,以及地区储备银行在批准或拒绝申请时是否可以独立行动。

这对Ripple意味着什么

对Ripple而言,时机值得注意。在2025年7月,首席执行官布拉德·加林豪斯表示,公司已申请美国国家银行牌照,同时也在寻求获得美联储主账户,以便接入美联储的支付基础设施,并直接在中央银行持有RLUSD储备金。Ripple的牌照申请已得到货币监理署的确认,而主账户申请则被定位为公司更广泛的稳定币和支付战略的一部分。

Ripple的申请并非孤立事件。Kraken交易所旗下在怀俄明州注册的银行业务部门Kraken Financial于3月宣布,已获得美联储主账户,成为美国第一家获得直接接入美联储支付基础设施权限的数字资产银行。Kraken表示,此项批准经过了超过五年的监管沟通,将允许在不依赖中介银行的情况下直接接入Fedwire系统。

这项批准已成为该领域其他公司的模板和警示。Kraken的账户是有限目的的,初始授予期限为一年,使其能够接入Fedwire并持有有限的隔夜余额,但不享受储备金利息、美联储紧急贷款、FedNow即时支付系统或ACH(自动清算所)服务。其他寻求类似接入权限的公司包括Ripple、Anchorage Digital和Wise。

值得注意的是,该问题已在法庭上受到考验。另一家专注于加密货币的怀俄明州机构Custodia Bank于2020年10月申请主账户,于2022年因申请延迟起诉美联储,并于2023年1月被拒绝申请。在2025年和2026年,上诉法院的判决强化了"储备银行保留拒绝主账户申请的自主裁量权"的观点,这一法律背景正是特朗普命令中明确要求美联储审视的。

Ripple也表现出对一条更有限途径的兴趣。11月,Ripple首席法律官斯图·阿尔德罗蒂表示,尽管有限制,美联储的"精简版"账户概念仍具吸引力,因为它仍可以在不授予传统主账户全部权益的情况下,改善RLUSD储备金的赎回能力。

在特朗普的命令发布之前,美联储已经打开了这扇门。去年12月,它就为专注于支付创新的合格机构开设特殊目的"支付账户"征求公众意见。该原型账户将不同于主账户,不支付利息,不提供美联储信贷,并受余额上限限制。

Ripple推进稳定币的战略为主账户问题增添了份量。该公司在去年12月表示,OCC已附条件批准了Ripple National Trust Bank,这是一家受联邦监管的信托银行,将在纽约州金融服务部和OCC的共同监督下管理RLUSD储备金。

总体而言,特朗普的命令并未授予Ripple主账户。然而,它确实将这个政策问题推入了一个正式的时间线:即,构建加密支付和稳定币基础设施的公司是应该继续依赖银行中介,还是应该获得对美元结算之下的主权支付轨道的直接、风险受控的接入权限。

截至发稿时,XRP交易价格为1.3647美元。

XRP多头需突破0.618斐波那契阻力位,周线图 | 来源:TradingView.com上的XRPUSDT图表

Related Questions

Q特朗普签署的行政命令对Ripple寻求联邦储备系统主账户有何影响?

A该行政命令要求美联储重新评估包括数字资产公司在内的非银行金融机构接入其支付账户和服务的框架,为Ripple长期争取主账户的努力创造了政策窗口,将这一问题推向了华盛顿金融政策议程的中心,并设定了120天的正式审议时间表。

QRipple申请美联储主账户的目的是什么?

ARipple申请美联储主账户是其稳定币RLUSD和支付战略的核心部分。获得主账户后,Ripple将能直接接入美联储的支付基础设施,并可将RLUSD的储备金直接存放在中央银行,从而提升其支付效率和稳定币的可赎回性。

Q除了Ripple,还有哪些机构在寻求美联储的主账户或类似接入权限?

A除了Ripple,还包括已获得有限目的主账户的Kraken Financial、Anchorage Digital以及汇款公司Wise。此外,专注于加密货币的Custodia Bank也曾申请,但被美联储拒绝,并引发了法律诉讼。

Q美联储提出的“简易”支付账户与主账户有何不同?

A美联储提出的“支付账户”是一种特殊目的账户,与主账户不同。它不支付利息、不提供美联储信贷、有余额上限,且专门面向专注于支付创新的合格机构。这是一种接入权限更有限、限制更多的方案。

QKraken获得美联储主账户对行业有何示范意义?

AKraken成为美国首家获得美联储主账户的数字资产银行,为行业树立了先例和模板。但该账户是有限目的的、有效期仅一年,且功能受限(例如不能接入FedNow、ACH,不计息)。这既展示了可能性,也表明了当前准入的严格限制和审慎态度。

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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.

730 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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