Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?

Odaily星球日报Published on 2025-02-21Last updated on 2025-02-21

Abstract

meme冷静之后市场找上了DeFi

在其他链专注于 MeMe 市场持续被各种突发事件吸引注意力的这段时间,Sonic Labs「前 Fantom」专注于 DeFi 的发展,Sonic 公布多项新措施来激励生态中的 DeFi 项目,这也让 Sonic 链上的 TVL 在近一个月涨了 500% ,Sonic 做了什么,散户又该怎么参与 Sonic 生态。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


老公链、新布局,AC 哥回归后的 Sonic 都干了些什么?
Fantom 在 2021 年大获成功,其 TVL 最高达到 80 亿美元。但当首席开发人员 Andre Cronje 离开以及 DeFi Summer 的落幕,Fantom 便逐渐销声匿迹。而去年年末 AC 回归,将 Fantom 品牌升级为 Sonic,曾经的明星团队使用全新的技术构建一条新的链,在发布后的两个月内确实得到了不错的成绩。
仅仅两个月 Sonic 就从 0 做到了超过 5 亿美元的 TVL,链上共有 1.1 亿美元的外部资金净流入 Sonic,其中 Solana 占多、紧随其后的是 Base 和 ETH。而 Sonic 上的 DEX 交易量也超过了 10 亿美元的大关。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


Sonic 是如何在这么短的时间内做到的呢?首先对 DeFi 链来说,稳定币的资金通路肯定是必不可少的。在将 USDT 接入 Sonic 之后,稳定币的存量总市值在这一周已经上涨了 59% 了,DeFiLlma 显示当前的 USDT、USDC、scUSD、stkscUSD、USDC.e 等稳定币总市值超过了 1 亿美元大关。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?



除了 Euler 还有原生的借贷平台 Silo 和质押平台 Beets 提供了 ETH 等资产的大量流动性,Sonic 还通过 Lombard Finance、Ether.fi、Rings Protocol 三个 DeFi 协议相互嵌套,用套娃的质押模式为用户带来了收益杠杆以及积分加成,在双方利好的情况下,将 BTC 的流动性带入 Sonic,仿佛篮球场上的三角进攻。
进攻的起始点是 Lombard Finance,Lombard 是专注于比特币的 DeFi 项目,最著名的产品是推出了 LBTC,一种流动质押的比特币版本。用户通过 Lombard 质押在 Ethereum, Base 或 BNB 上的 BTC,用户会收到 1: 1 的「LBTC」。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


而后中转则是 Ether.fi, Ether.fi 与 Lombard 合作,推出的首个比特币流动重质押代币「eBTC」,eBTC 在后台使用 LBTC 作为抵押品,使 eBTC 持有者有可能获得多层收益,因为他们既受益于 LBTC 的质押奖励「由实际比特币支持」,又受益于 Ether.fi 在以太坊上的重质押策略。eBTC 还可以存入以太坊上的 Rings,以铸造 scBTC。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


而进攻的终结点则是 Rings,它允许用户存入各种代币,从稳定币到以太坊和以上提到的 LBTC、eBTC 比特币衍生品,用户可以将这些资产存入 Rings Protocol,铸造出带有收益的「sc」版本资产「除 scBTC 外还有 scUSD、scETH」。按照 Sonic 当前的奖励机制,不管是持有、使用或质押这些资产都可以获取每周收益。而 Rings 利用 Veda Labs 的农场策略,通过以太坊和 Sonic 上的协议,使存入的资产来生成收益并反馈给用户。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


针对初期开发者和新用户增量,随后 Sonic 几乎同时开展了关于 DeFAI 的 Hackathon 以及 Sonic Meme Mania 大赛拓展 AI 和 MeMe 的用户。
此次黑客马拉松的奖金为 29.5 万美元等值的 $S,为在 Sonic 构建执行社交和链上操作的 AI 代理提供支持。现已吸引了 18 个 AI 项目以及 485 个技术人员关注,报名截止日期为 2 月 25 号。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


Meme 大赛则共 100 万$OS 作为奖金,目前参赛者中最高市值接近 700 万美元。Sonic 上 Meme coin 的基础设施还相对不完善,不知道作为交易最快的链发展 DeFi 的同时,是否也会延续 Solana 的策略去抢占 Meme 的市场。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


但最主要的新增量是撸毛和 DeFi 玩家,Sonic 计划空投共 2 亿枚$S 代币做激励,按照 1 年期释放解锁,第一季时长 6 个月,占空投总量 40-60%。其中 25% 空投为即时流通代币,75% 为可交易的锁仓 NFT 凭证,用户既可以交易 NFT,也可以按照以下表格的解锁进度销毁其中一部分作为$S 的流动性而提早解锁,灵活的空投解锁模式也吸引了一众用户前来。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


网传超高收益,Sonic 生态的机会有哪些?
如何获得空投?
现在获得空投的凭证为积分,共有三种空投积分:被动积分「PP」只需要在 Web3 钱包中持有白名单资产。活动积分「AP」需要在参与项目中提供白名单资产作为流动性。DApps 积分「Gems」生态开发者对生态的贡献可获得「Sonic 宝石」的分配额度

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


根据链上分析师@phtevenstrong预估的 APR 以及提供的策略,用户有许多可以参与的方式从而获得不错的收益率。
$S 代币目前为完全流通供应,由于没有 VC 份额,所以没有稀释隐患。而当前接近半数的流动性已被锁定「 31% 的总供应量在质押+ 5-10% 的$S 锁定在 DeFi 协议中」。假设 6 个月后空投 50% ,那么估算该时间段内的平均积分 TVL 则为当 TVL$ 300 M 时获得额外 20% APR,$ 500 M 时获得额外+ 12.5% APR。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


基础积分挖矿策略
Rings Protocol 的 scETH 循环策略:通过在 Rings Protocol 上质押以太坊(ETH),铸造出带有收益的 scETH。随后将 scETH 抵押在 Euler 平台,借出 Wrapped Ether(WETH),设定 91.5% 的贷款价值比(LTV)。再次使用借入的 WETH 进行再投资,理论上可实现 10 倍杠杆。该策略在未考虑 Rings 积分和 rEUL 奖励的情况下,理论年化收益率(APR)可达 87.49% 。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


Silo Finance 的 stS/S 对冲循环策略
在 Silo Finance 上借入 stS 代币,设定 95% 的 LTV,实现 20 倍杠杆。随后将借入的 stS 代币质押,通过质押能获取 2.4% 的出借收益和 5.3% 的质押收益。这样整套流程做下来能叠加 10% 的积分奖励,提升总收益。该策略的基础收益为 7.7% ,加上 10% 的积分奖励,总计 17.7% 。完整策略的 APR 可达 74% 。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


逆向对冲套利策略
在 Silo Finance 上借入 stS 代币,获取 8 倍的积分加成。随后将 stS 代币出借,获得 4.1% 的出借收益。而每日能获得 0.5 个 Silo 积分的加成。该策略的基础收益为 4.1% 和每日 0.5 个 Silo 积分的奖励,虽然收益不高但优相对的风险也更小。

Sonic收益策略盘点:TVL一个月增长五倍,散户如何参与?


在 MeMe 市场逐渐冷静下来后,DeFi 重新回到了大众的视野。专精 DeFi 的 Sonic 在开始的这三个月获得了优异的增长,在融入 DeFai 概念后的,如何在前有 hype 后有 Monad 的夹击下,用 Sonic 的高性能链和 AI 创建出新的 DeFi 范式站稳脚跟,期望在众多项目的搏杀中能出现更有趣的创新为市场带来新的活力。

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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.

763 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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