Coinbase周报:市场可能在下周迎来拐点、Aave的进化

Odaily星球日报Pubblicato 2024-05-13Pubblicato ultima volta 2024-05-13

Introduzione

下周即将公布的通胀数据有望提供更清晰的方向性宏观清晰度,Aave宣布了其V4升级和长期路线图的计划。

原文标题:Weekly: Following the Undercurrents

原文作者:David Han (Institutional Research Analyst)

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

关键要点

  • 虽然美元的动能停滞不前,但我们认为即将于 5 月 14 日和 15 日公布的 PPI 和 CPI 数据可能会决定美元的下一个主要方向。我们认为,美联储将继续优先考虑对抗通胀,而不是劳动力市场降温的早期迹象。

  • 灰度 (Grayscale) 比特币信托 (GBTC) 自转型为开放式基金以来的前两天出现了资金流入,标志着该资产结构性资本轮换的重要完成。

  • Aave 最近透露了其协议的第四次迭代(V4)计划,作为 Aave 2030 长期愿景的一部分,其 V4 带来了许多新的架构改进,重点是支持他们的 GHO 稳定币,该稳定币计划于 2025 年第二季度推出。

市场观点

近期,由于持续性地缺乏明确的宏观方向导致了比特币的持续下跌。山寨币也大都呈现出了相同的情况,加密资产类别内的相关性仍接近于年初以来的最高点。当前宏观因素的不确定性证明了我们 4 月展望中的论点,即宏观经济状况将继续主导 BTC 表现(山寨币紧随其后),美国现货 ETF 流入逐渐减少,市场开始寻找比特币减半以外的其他催化剂。尽管欧洲央行和其他央行重申了夏季降息的计划,但高于预期的美国通胀数据依然引发了市场对美联储推迟降息的担忧。对美国降息时间延长的预期导致美元走强,由于美元在大多数加密货币交易所中作为报价货币的关键作用,因此它反过来又对更为广泛的加密货币市场产生了压力。

然而,在美联储会议比预期更鸽派之后,美元走强的势头已经停滞不前,在 5 月 3 日非农就业数据弱于预期之后,市场对首次降息的预期(基于联邦基金期货)从 11 月转移到 2024 年 9 月。5 月 9 日失业金初次申领人数高于预期,这进一步增加了加速降息的驱动力,因为美联储肩负着双重使命,不仅要对抗通胀,还有责任保持低失业率。

尽管如此,我们认为美国失业率(目前为 3.9% )的变化不会在短期内成为美联储关注的焦点,因为它仍接近历史低点。事实上我们仍然认为,美国经济将受到技术进步和政府支出的支撑,并且不会处于进入收缩期的边缘。在下一次联邦公开市场委员会 (FOMC) 的会议上,我们认为美联储的注意力和言论仍将集中在通胀指标上,这凸显了即将于 5 月 14 日和 15 日公布的 PPI 和 CPI 数据作为预期的宏观催化剂的重要性,特别是如果它们高于预期。

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

另外,灰度 (Grayscale) 比特币信托(GBTC)自过渡到开放式基金以来的前两天出现了资金流入。尽管这些资金流入的来源尚不清楚,因为与类似的现货产品(不到 0.5% )相比,它们的管理费(1.5% )更高,但这一发展标志着结构性资本轮换的完成。我们认为,早期 GBTC 资金流出的很大一部分与破产程序(例如 Genesis 和 FTX)、GBTC 贴现交易的利润实现(一年前资产净值折让 40% )以及转向低费用产品(<0.5% 对 1.5% )有关。尽管我们之前曾警告不要将流量数据作为未来价格走势的优先指标,但展望未来,我们预计流量数据不会出现结构性扭曲。

链上:Aave 的进步

与此同时,Aave 最近透露了其协议的第四次迭代(V4)计划,作为 Aave 2030 长期路线图的一部分。拟议的 V4 包含架构改进,包括统一的流动性层(用于灵活扩展借款功能)、模糊利率(用于以前由治理控制的利率曲线)和流动性溢价(根据抵押品构成调整借款利率)。V4 还专注于加强其 GHO 稳定币的使用,并结合了改进的风险管理和清算引擎等其他改进。

虽然拟议的主网启动日期将在 2025 年第二季度,但我们认为这一公告(连同今年 Uniswap 和 Maker 等现有 DeFi 协议的其他重大公告)是 DeFi 协议在其核心功能上成熟的早期路线图,即使它们保持市场主导地位并继续在其他领域进行创新。这可能会为新协议在去中心化、长期代币效用和迭代功能推出方面树立先例。

扩展 DeFi 协议功能是一项技术挑战,尤其是与以 “快速行动和打破常规” 为口号的传统 web2 公司相比。成功的 DeFi 协议很少以对终端用户透明的方式扩展其初始架构。相反,他们部署新版本并激励积极的流动性迁移。这不仅适用于 Aave,也适用于 Uniswap、Curve、Pendle 等其他领先协议。这些跨版本流动性迁移是一项艰巨的任务,因为用户需要主动转换。事实上,尽管 Aave V3 早在 2022 年便已推出,但直到 2023 年 9 月,Aave V3 才在总锁定价值(TVL)上超过 Aave V2。我们认为 Aave V4 的采用周期可能也会经历类似的过程。

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

尽管新版本中有大量的功能改进,但流动性的谨慎迁移凸显了 Lindy 效应在 DeFi 市场中的相对重要性。也就是说,从市场时间上获得的信任似乎比可能对一小部分用户产生吸引力的新机制更重要。去中心化技术的对抗性环境意味着时间通常是确定协议安全性的最可靠方法,比审计和理论更重要。我们认为这凸显了智能合约不变性的特征和 web3 产品的金融化特性,即如何在快速创新中保持稳定的安全性。因此,我们认为加密产品的长期采用周期可能与我们在 web2 市场中看到的有所不同。对于终端用户来说,web3 金融漏洞的后果远比不会破坏核心应用程序功能的 web2 数据漏洞严重得多。

另外,Aave 2030 路线图似乎与 Maker 的 Endgame 形成了竞争关系,尤其是 Aave 重新关注其 GHO 稳定币。Aave 2030 中提出的许多元素,例如 Aave 的特定网络、GHO 的跨链流动性层、增强的现实资产(RWA)集成以及更新的协议品牌,都让人联想到 Maker 的 Endgame 愿景。

Aave 和 Maker 的 TVL 分别为 105 亿美元 和 82 亿美元,这两个协议都是该领域的重要贷款来源。然而,虽然 Maker 借款人仅限于 DAI,而 Aave 则支持在其自己的 GHO 稳定币之外进行广泛的资产借贷。鉴于 DAI 的市值年初至今仅从 53 亿美元增长到 54 亿美元,因此围绕其提高跨链采用率和获得市场份额的能力仍然存疑。也就是说,有趣的是,Aave 似乎正在专注于去中心化稳定币领域,尽管相对于 USDC 等中心化稳定币而言,该领域的市场一直在萎缩。在 DAI 需求暂停的情况下,Aave 实际上在 2024 年初超越了 Maker,成为最大的借贷 DeFi 协议。然而,我们仍处于 web3 的早期阶段。虽然 Maker 的 Endgame 计划和 Aave 的 2030 年路线图为这些协议的未来提供了一个充满希望的愿景,但我们认为这些发展在短期内可能会被市场忽视,因为宏观环境在短期内仍然是关注的锚点。

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

Crypto 和传统金融

(截至美国东部时间 5 月 9 日下午 4 点)

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

资料来源:彭博社

Coinbase 交易所和 CES Insights

加密货币交易者正在寻找下一个市场催化剂。即将到来的一周,市场将看到美国通胀数据,并听取联邦公开市场委员会(FOMC)主席 Jerome Powell 的讲话。除非在数据上或者主席的语气上出现任何重大意外,否则我们可能会看到波动性继续压缩。由于缺乏明确的宏观或加密货币特定的催化剂,传统市场与加密货币资产之间的相关性可能会继续上升,加密货币将以美国股市为参考。13-F 的申请截止日期是 5 月 15 日,许多公司都会等到最后一刻提交申请。看看谁在美国现货比特币 ETF 中占有一席之地会很有趣。但除非出现一个非常令人惊讶的名字,否则在我们看来,这不太可能是一个影响市场的事件。而关于 ETH,随着 VanEck 现货以太坊 ETF 申请的 5 月 23 日截止日期越来越近,它可能会继续落后。在与交易员交谈时,对批准的期望大都很低。

Coinbase 平台交易量(美元)

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

Coinbase 平台交易量 (资产比例)

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

资金利率

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

值得注意的 Crypto 新闻

机构

  • 全球加密公司转向香港寻求庇护和机会 (TechCrunch)

  • 万事达卡与美国银行业巨头联手进行代币化结算试验(Cointelegraph)

监管

  • 美国证券交易委员会(SEC)以涉嫌违反证券规定为由,向 Robinhood Crypto 发出 Wells 通知(The Block)

  • QCP 获得阿布扎比监管机构(Coindesk)的原则性批准

  • 美国证券交易委员会(SEC)在 Ripple XRP 案中提交最终回应(Cointelegraph)

常规

  • Friend Tech 在 V2 推出后活跃度复苏(The Defiant)

  • 比特币网络超过 10 亿笔链上交易(The Defiant)

  • Vitalik Buterin 提出 EIP-7702 ,旨在完善以太坊上的账户抽象(The Block)

Coinbase

  • Coinbase 受益于 “敌对的监管环境”:Bitwise (The Block)

全球视野

欧洲

  • 英国金融行为监管局(UK FCA)称 2023 年 30% 的金融犯罪人员来自加密公司中(加密新闻)

  • 欧洲第二大银行法国巴黎银行购买了 BlackRock 现货比特币 ETF 股票:SEC 备案 (Decrypt)

  • 加密银行公司 BCB Group 作为电子货币机构和数字资产服务提供商(BCB Group)在法国获得监管批准

  • Vodafone 希望将加密钱包与 SIM 卡集成(TradingView)

  • 德国央行行长呼吁迅速采用 CBDC 以保持竞争力(CryptoSlate)

亚洲

  • 香港现货比特币和以太坊 ETF 首次推出时交易量达到了 1100 万美元 (Watcher Guru)

  • 中国警方抓获了一名嫌疑人,该嫌疑人伪造了大量虚假身份以索取 STRK 空投(Crypto Briefing)

  • 普华永道中国与 Xalts 在区块链和代币化领域建立战略合作伙伴关系(RWA Tokenizer)

  • 澳大利亚税务局要求加密货币交易所交出 120 万个账户的交易细节 (CoinDesk)

  • 韩国在更新的捐赠法中禁止加密货币(CoinTelegraph)

未来一周大事件 

Coinbase周报:市场可能在下周迎来拐点、Aave的进化

Crypto di tendenza

Letture associate

DRAM ETF Issuer: Samsung, SK Hynix, Micron All Surpass $1 Trillion, the AI Era of Memory Chips Has Only Just Begun

Authors: Dave Mazza, Thomas DiFazio | Source: Deep Tide TechFlow The article, written by Roundhill Investments (issuer of the DRAM ETF), responds to Morningstar's caution about investing in memory chip stocks. Morningstar warns of the sector's history of boom-bust cycles, a lack of economic moats, and potential momentum-driven overvaluation. Roundhill argues the current situation is structurally different due to AI. Key points in Roundhill's rebuttal include: * **Changed Demand & Supply Dynamics:** AI infrastructure, not consumer electronics, is now the primary growth driver for memory demand. New, strict long-term supply agreements with hyperscalers reflect the high capital intensity of advanced manufacturing. * **Existence of a Moat:** High-Bandwidth Memory (HBM), essential for AI, has extremely high manufacturing barriers. The market is dominated by Samsung, SK Hynix, and Micron, with new entrants blocked by technological complexity and long lead times for equipment like ASML's EUV machines. * **Strong Fundamental Outlook:** Analyst consensus projects the three companies will rank among the world's most profitable by 2027, with combined profits of $704 billion on over $1 trillion in revenue. Their operating margins have already reached record highs. * **Valuation Re-rating:** Despite significant stock price gains, memory stocks trade at attractive valuations (e.g., a median NTM P/E of 8.37x for the DRAM ETF) relative to projected explosive EPS growth. Roundhill suggests historical valuation frameworks may no longer apply given the new profitability paradigm. Conclusion: Roundhill contends the rally is justified by fundamentals, marking a structural shift for the memory industry into a new era of sustained, AI-driven demand against constrained supply, rather than a repeat of past cycles.

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EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

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Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

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How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

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