CeFi资金向DeFi轮动,是否预示着加密市场第三季度触底?数据显示...

ambcryptoPublished on 2026-07-03Last updated on 2026-07-03

Abstract

第二季度,一系列协议漏洞导致超过6亿美元损失,引发大规模资本外流,去中心化金融(DeFi)总锁仓价值(TVL)从约1500亿美元高点骤降至约700亿美元,创下自2021年以来最严重的季度环比下跌。 然而,近期数据显示趋势可能正在逆转。以太坊上最大的借贷协议Aave单日新增钱包地址数创下自2021年10月以来新高。与此同时,稳定币作为资本流向的关键指标,在多个主流L1网络(如Solana、Stellar、Cardano)上出现供应增长和转移量上升。 另一方面,中心化金融(CeFi)借贷规模出现自2024年第三季度以来的首次季度环比下降。这些迹象共同表明,流动性可能正从CeFi重新流向DeFi,反映出投资者的风险偏好有所回升。如果这种“CeFi转向DeFi”的轮动趋势持续,可能标志着市场正在筑底,并为第三季度更广泛的市场复苏奠定基础。

在TVL出现大规模收缩之后,第二季度加密货币市场笼罩在恐惧、不确定性和怀疑情绪之中。

值得注意的是,这不仅仅是价格走势疲软的结果。相反,接二连三的协议漏洞导致了超过6亿美元的累计损失,引发了广泛的资本外流,用户急于取消质押资产并减少对DeFi协议的敞口。

为了更直观地理解这次下降的规模,在本季度有超过200亿美元的资金撤出了DeFi协议,将总锁定价值从2025年10月前约1500亿美元的高位推低至约700亿美元。这代表了自2021年以来TVL最剧烈的季度环比下降,突显出市场参与者转向避险立场的速度有多快。

来源:DeFiLlama

最大的借贷协议Aave [AAVE] 是这一趋势的主要例证。

正如AMBCrypto报道的那样,在KelpDAO漏洞利用事件之后,Aave的TVL在24小时内下降了约18%,至178亿美元,用户迅速从协议中撤出了流动性。不过,抛售并不仅限于Aave。恐惧迅速蔓延至整个DeFi领域,驱动资金流出其他协议,并使以太坊的TVL下降了超过100亿美元。

然而,现在这一趋势可能开始逆转。以太坊上的Aave最近在一天内记录了1,806个新钱包地址,这是自2021年10月以来最强劲的网络增长。虽然一天的数据不足以确认复苏,但这确实表明人们对DeFi的兴趣正在再次回升。

自然而然的问题是:这是否是市场在潜在的第三季度反弹前触底的第一个迹象?

DeFi反弹,稳定币流入表明风险偏好回归

稳定币通常是资金流向最清晰的指标之一。

值得注意的是,这一趋势在第三季度已经显现。稳定币流动性正在几个主要的Layer 1网络上积累。Solana在2026年第二季度结束时,稳定币供应量达到了创纪录的166亿美元。Stellar也见证了势头增强,其30天稳定币转移量增长了32.6%。Cardano也显示出类似的模式。根据DefiLlama的数据,该网络的原生稳定币供应量在过去一周增长了20%以上。

综合来看,这些指标描绘了一幅清晰的图景。稳定币正在重新流向链上,TVL开始复苏,主要DeFi协议的活动正在回升。CryptoQuant的最新报告为这一观点提供了进一步的支持,报告显示CeFi借贷环比收缩6%,至233亿美元,这是自2024年第三季度以来的首次下降。

来源:CryptoQuant

结论相当直接明了。

随着中心化借贷平台活动放缓,流动性似乎正在重新流入DeFi,这表明投资者再次变得愿意在链上部署资金。

如果这一趋势持续下去,这种从CeFi向DeFi的资金轮动,可能标志着第二季度的避险情绪正在消退的第一个可衡量的迹象,并可能为第三季度更广泛的加密市场复苏奠定基础。


最终总结

  • 随着稳定币流入增加和Aave网络活动反弹,DeFi显示出复苏迹象。
  • CeFi借贷下降和链上流动性上升表明,在第三季度之前,资金可能正在重新轮动回DeFi。

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Related Questions

Q根据文章,是什么导致了Q2加密货币市场的FUD和资本大规模流出?

AQ2市场的FUD和资本大规模流出主要是由一系列连续发生的协议漏洞利用事件导致的,这些事件造成了超过6亿美元的累计损失,引发了用户从DeFi协议中紧急撤资以降低风险敞口。

Q文章指出,哪个协议是用户撤资趋势的主要例子,其TVL在24小时内下降了多少?

A最大的借贷协议Aave是这一趋势的主要例子。在KelpDAO被利用后,其TVL在24小时内下降了约18%,降至178亿美元。

Q文章认为,哪些迹象表明DeFi可能正在复苏,并成为市场触底的信号?

A文章指出了几个积极迹象:Aave新钱包地址创下高位、多个主要L1网络的稳定币供应量增加、以及TVL开始回升。这表明资本正从CeFi(中心化金融)重新流向DeFi(去中心化金融),可能意味着投资者风险偏好回归,这可能是市场在三季度触底的早期信号。

Q根据CryptoQuant的报告,CeFi借贷在最近一个季度发生了怎样的变化?这说明了什么?

A根据CryptoQuant的报告,CeFi(中心化金融)借贷环比下降了6%,降至233亿美元,这是自2024年第三季度以来的首次下降。这说明了资金可能正在从CeFi平台流出,并重新流入DeFi生态系统。

Q文章的最终总结认为,当前什么趋势可能为更广泛的加密市场复苏奠定基础?

A文章的最终总结认为,这种从中心化金融(CeFi)到去中心化金融(DeFi)的资金轮动趋势,如果能够持续,可能标志着Q2避险情绪正在消退,并可能为更广泛的加密市场在三季度(Q3)复苏奠定基础。

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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.

763 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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