PayPal稳定币市值暴跌30%!Solana收益跳水

链得得Published on 2024-09-30Last updated on 2024-09-30

链上数据显示,PayPal的稳定币PYUSD在过去30天内市值缩水近30%,从10亿多美元下滑至9月25日的7.12亿美元。

市值下降的主要原因是Solana上的市值大幅减少,8月26日,Solana上的市值约占总市值的65%

截至9月25日,在Solana生态系统中流通或锁定的PYUSD已从6.62亿美元降至3.64亿美元。相比之下,其在以太坊上的市值在此期间保持稳定,为3.4亿美元。

不过,根据Artemis数据,PYUSD在过去30天的日均转账量相对较高。该稳定币的日均转账量为2.422亿美元,仅比7月28日至8月25日期间的日均转账量低1160万美元。

尽管稳定币的市值波动并不罕见,但PYUSD市值负偏离的同时,整个稳定币市场增长了近1.6%,即30亿美元。

下降的原因可能是DeFi收益率在此期间下降了近50%。

截至9月24日,在Kamino上提供PYUSD作为抵押品的收益率下降了近50%,为7.6%,而8月底的收益率为14%。

因此,该协议中锁定的稳定币总量从4.3亿美元下降到2.96亿美元,降幅达30%

尽管PYUSD的市值有所下降,但它仍然是Solana生态系统中市值第三大的稳定币,仅次于TetherUSD(USDT)的7.28亿美元份额和USDCoin(USDC)的26亿美元规模。

值得注意的是,激励措施的缩减可能与PayPal正在关闭的一系列与PYUSD有关的合作伙伴关系有关。据《财富》杂志8月22日报道,PayPal与AnchorageDigital合作提供稳定币奖励。

因此,PayPal可能会将奖励分配分配到不同的领域,期望在与Crypto资产相关的各个领域获取利益。

此外,据彭博社报道,PayPal于9月25日宣布将允许位于美国的企业账户购买、出售和持有Crypto资产。

作者:区块链骑士;来自链得得内容开放平台“得得号”,本文仅代表作者观点,不代表链得得官方立场凡“得得号”文章,原创性和内容的真实性由投稿人保证,如果稿件因抄袭、作假等行为导致的法律后果,由投稿人本人负责得得号平台发布文章,如有侵权、违规及其他不当言论内容,请广大读者监督,一经证实,平台会立即下线。如遇文章内容问题,请联系微信:chaindd123

链得得仅提供相关信息展示,不构成任何投资建议

Related Reads

Morning News | Coinbase Partners with Standard Chartered to Expand Multi-Currency Fiat Channels; Sharplink and Forward to be Included in Russell Indices; JPMorgan May Issue Stablecoin in the Future

Daily Crypto Recap: Key Developments Institutional adoption continues: Coinbase partners with Standard Chartered to expand multi-currency fiat rails for institutions via Coinbase Prime, supporting AUD, SGD, CAD, CHF, EUR, and GBP. Meanwhile, Sharplink and Forward Industries, companies holding significant ETH and SOL reserves respectively, are set to be included in the Russell indexes, providing indirect crypto exposure to traditional index investors. Regulatory and compliance moves are in focus. Hong Kong's monetary authority announced new measures for investment accounts of mainland Chinese investors, including retroactive document checks to January 2023. Prediction market Polymarket is considering implementing KYC requirements to address sanctions and legal risks. Major financial players signal deeper involvement. JPMorgan Chase CEO Jamie Dimon suggested the bank might issue a stablecoin in the future. Concurrently, Falcon Finance and Anchorage Digital launched fUSD, a compliant, institution-focused stablecoin. Market sentiment presents a mixed picture. Bitmine's Tom Lee predicts an incoming crypto "supercycle," driven by Wall Street tokenization and AI agents, with Ethereum as a key beneficiary. However, a prominent trader cautions that the current period of investor losses may not be long enough to confirm a bear market bottom, and TD Cowen analysts note diminished chances for U.S. crypto market structure legislation this year due to a worsening political climate. Other notable news includes a16z crypto's observation that most tokenized assets are merely "digitized" and not actively used in DeFi, South Korea's crypto trading volume falling to about 8% of KOSPI's, and the Chinese Supreme Court stating it will research judicial rules for virtual currency cases.

链捕手4m ago

Morning News | Coinbase Partners with Standard Chartered to Expand Multi-Currency Fiat Channels; Sharplink and Forward to be Included in Russell Indices; JPMorgan May Issue Stablecoin in the Future

链捕手4m ago

Sitting on a Trillion-Dollar Market, Why Hasn't Real Estate Tokenization Taken Off?

For years, real estate tokenization has been hailed as a breakthrough technology poised to democratize property investment. In theory, it promises fractional ownership of premium assets, rapid transactions, and enhanced liquidity. Yet, in practice, it has failed to gain traction, accounting for less than 0.1% of the global real estate market. The core issue is not a lack of tokens, but the absence of a robust legal, operational, and compliant framework that grants them credibility as financial instruments. The industry initially erred by prioritizing technology over investor needs, creating products with unclear ownership and unreliable liquidity. Key infrastructure remains missing: legally sound ownership structures, compliant transfer mechanisms, professional servicing, and interoperability with traditional finance. This regulatory ambiguity and operational complexity deter institutional investors, who already have access to established, well-governed investment channels. A mature model would feature low minimum investments in institutional-grade assets, transparent rental income distribution, and genuine liquidity through regulated secondary markets. While regulatory progress in regions like the UAE and growth in other tokenized asset sectors (like treasuries) are positive signs, the focus must shift from issuing tokens to building foundational systems. The investment proposition of tokenized real estate is not to create new returns, but to improve access, efficiency, and liquidity for existing income-generating properties. For mainstream adoption, the sector must demonstrate tangible economic advantages over traditional models, not just technical novelty. The next phase depends on proving scalable, compliant operations with auditable track records. The barrier is no longer technology, but infrastructure and regulation. The vision remains unfulfilled until this gap is bridged.

marsbit8m ago

Sitting on a Trillion-Dollar Market, Why Hasn't Real Estate Tokenization Taken Off?

marsbit8m ago

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

The article discusses the ongoing challenge of defining and achieving Artificial General Intelligence (AGI). It notes that industry leaders have set vague, often profit- or time-based benchmarks for AGI, while the concept itself lacks a consensus definition—a situation the article compares to a "Rorschach test." It highlights a recent 2025 paper by researcher Michael Timothy Bennett, who proposes a new, measurable definition. Bennett frames AGI not as mimicking human performance on tests, which current large language models (LLMs) have already mastered, but as an "artificial scientist." A true AGI, according to this view, should be able to widely and efficiently adapt to new environments and tasks within real-world constraints (like computational and energy limits), focusing on the *discovery of new knowledge* rather than the replication of existing data. The author contrasts this with the current dominant approach of "scale-maxing"—massively scaling up data, parameters, and compute. While powerful, this method leads to models that fail on out-of-distribution problems and lack core intelligent abilities: they are passive learners, cannot reason causally, and cannot actively experiment or balance exploration with exploitation. The article argues that Bennett's framework offers a crucial shift. It makes AGI a quantifiable engineering problem and proposes new evaluation "adaptation benchmarks" that test an AI's ability to actively learn in novel scenarios. The conclusion is that achieving AGI will require a fundamental reset—a fusion of multiple methodologies beyond simple scaling, moving AI from mimicking patterns to embodying the scientific spirit of inquiry and discovery.

marsbit1h ago

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

marsbit1h ago

Pope Issues First AI Encyclical: 40,000 Words, 10 Key Points, Clarifying AI Anxiety

Pope Leo XIV's historic encyclical "Magnifica Humanitas," released in May 2026, marks the Catholic Church's first major document addressing artificial intelligence. The 40,000-word text moves beyond theological abstraction to confront practical AI anxieties affecting society. It argues that AI is no longer a mere tool but an embedded environment influencing daily decisions in areas like employment, healthcare, justice, and information, often without users' awareness. The encyclical presents ten core concerns. It highlights that the central issue isn't just regulation, but who holds the underlying *power*—control over data, compute, and platforms—often concentrated in private entities. It warns that even developers cannot fully explain AI systems, creating accountability gaps. While AI can simulate human interaction and creativity, it cautions against treating it as a moral agent capable of bearing true responsibility or forming genuine relationships. Key risks identified include AI's role in opaque decision-making for jobs or welfare, the amplification of persuasive disinformation, and the potential for education to focus on tool use over critical thinking. The document stresses that work has value beyond efficiency, and AI should enhance human capabilities, not merely replace roles. It firmly states that irreversible decisions, especially involving life and death, must remain under human judgment. Ultimately, the encyclical frames AI's challenge as anthropological, not just technological. As AI simulates uniquely human capacities like judgment and creation, it forces a re-examination of what makes human action meaningful: our capacity for responsibility, vulnerability, and bearing real consequences. The Pope concludes that technology is never neutral; its development and deployment are shaped by human values and choices, making an inclusive, ethically grounded dialogue essential for its future.

marsbit1h ago

Pope Issues First AI Encyclical: 40,000 Words, 10 Key Points, Clarifying AI Anxiety

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片