Q2多项数据指标强势增长,Pyth Network让预言机重合行业视线?

币界网Publicado a 2024-07-30Actualizado a 2024-07-30

币界网报道:

在2024年第二季度,Pyth Network展现了强劲的增长势头,其表现不仅在技术和应用方面获得了显著提升,还在市场上取得了优异的成绩。7月26日,Pyth Network荣登sosovalue的日涨幅榜前五,排名第二,24小时涨幅达到12.7%。

Pyth Network是一种创新的预言机网络,旨在为加密货币、股票、外汇对、ETF和商品提供准确的价格数据。它的独特之处在于采用了拉取预言机模式,这不仅提升了数据更新的效率,还降低了网络成本。在第二季度,Pyth Network通过一系列重要的发展和战略调整,继续巩固其在区块链领域的领先地位。

接下来,让我们详细了解Pyth Network在2024年第二季度的关键进展和成就。

数据表现亮眼,Pyth Network近期的势头引发了市场的广泛关注

在2024年第二季度,Pyth Network在市场上表现出色,需求侧活动增长了17%。这一增长体现在2.46亿次价格更新中,这些更新覆盖了70条区块链。Pyth Network的成功部分归功于其向拉取预言机模式的转变,这一模式首次在Solana上实施。拉取预言机通过仅在需要时更新价格数据,减少了网络成本,并提高了数据更新的效率。

Pyth Entropy是Pyth Network的重要创新之一,自Q1末推出以来,已处理了26.5万次请求,并在Q2带来了1.9万美元的收入。Pyth协议在这一季度中新增了45个价格源,并扩展到14个新区块链。这些新增的区块链和价格源极大地提升了Pyth Network的覆盖范围和数据提供能力。此外,Pyth还集成到51个新应用中,使其在DeFi领域的影响力进一步扩大。

除了技术和应用的扩展,Pyth Network的发布者网络也在持续增长。第二季度,Pyth Network的发布者数量从100增加到107,增幅为7%。这一增长表明,越来越多的数据提供者对Pyth Network的技术和市场前景充满信心。通过不断扩展和优化其发布者网络,Pyth Network能够提供更加准确和及时的数据,为区块链应用提供坚实的基础。

多项产品和技术更新同步进行,红利或将在未来的阶段集中爆发?

Pyth Network在第二季度推出了多项重要产品和技术更新。其中,Express Relay是一项显著的创新。Express Relay是一个离线优先拍卖网络,旨在消除对DeFi协议和参与者有害的最大可提取价值(MEV)。这一网络通过优先拍卖机制,让搜索者可以竞标有价值的交易,从而最大化DeFi协议的收益,并最终在链上运行。Express Relay的推出不仅提高了DeFi协议的安全性,还优化了搜索者的盈利能力。

Q2多项数据指标强势增长,Pyth Network让预言机重合行业视线?

此外,Pyth Network在Solana上推出了拉取预言机模式。这一模式解决了传统推送预言机在高峰期和高波动性时的不可靠问题。拉取预言机仅在需要时更新价格数据,避免了与其他用户交易的竞争,提高了数据更新的可靠性。通过这种方式,Pyth Network能够在所有支持的区块链上同时扩展价格源,而无需单独为每条链构建新的价格源。

Pyth Network的技术创新不仅体现在产品上,还反映在其协议的持续改进中。例如,Pyth DAO在第二季度通过了多项改进提案(PIP),包括性能优化和新验证者的引入。这些改进确保了Pyth Network在技术上保持领先,并为其未来的发展奠定了坚实的基础。

Pyth Network 近期动态与展望:仍有压力,但希望更大

Pyth Network 最近取得了显著的进展,进一步巩固了其在全球加密市场中的领导地位。最引人注目的是与瑞士加密银行 Amina 的合作,这使得实时喂价服务成为可能,为用户提供更精准的市场数据,同时为 Amina Bank 开辟了新的收入来源。

在技术创新方面,Pyth Network 的 Express Relay 技术推出为 DeFi 清算效率带来了显著提升。通过减少最大可提取价值(MEV)问题,这项技术优化了资本利用率和交易执行的效率,加强了整个 DeFi 生态系统的公平性和可持续性。

财务方面,Pyth Network 披露其截至6月份的总担保价值(TVS)约为81亿美元,其中以太坊虚拟机(EVM)链占据主导地位。这反映了Pyth在支持全球开发者和不同区块链生态系统中的广泛应用和影响力。

Q2多项数据指标强势增长,Pyth Network让预言机重合行业视线?

尽管面临市场波动和技术挑战,Pyth Network 在未来仍有望通过扩展其数据提供网络和推出创新技术进一步巩固其在区块链预言机领域的领导地位。未来的挑战和机遇将继续塑造Pyth的发展路径,使其能够在不断变化的加密货币市场中保持领先地位,引领行业的发展方向。

这些努力不仅展示了Pyth Network 的实力和创新能力,还为其在全球加密市场中的长期增长奠定了坚实基础。

Criptos en tendencia

Lecturas Relacionadas

Strive Executive: Rethinking the Bitcoin Price Flywheel

"Strive Executive: Rethinking Bitcoin's Price Flywheel" Bitcoin's maturation process may not follow a simple trend of ever-shrinking returns, as suggested by its long-term power-law trajectory. Instead, a multi-stage "flywheel" effect could emerge, driven by falling volatility. In its early stages, Bitcoin exhibited extreme returns and high volatility, limiting large-scale investment and its use as collateral. As it matures (Stage 2), both returns and volatility decline, improving its risk-adjusted returns. While this seems to point toward diminishing gains, it crucially enhances Bitcoin's appeal to institutional capital and its quality as collateral for loans. Lower volatility allows existing investors to allocate more capital without increasing portfolio risk. More importantly, it significantly increases the amount of debt the system can safely issue against Bitcoin holdings. With shallower potential drawdowns, lenders can extend more credit against the same collateral value, making leveraged Bitcoin accumulation strategies more feasible and resilient. This sets the stage for Stage 3: a self-reinforcing cycle. Improved fundamentals attract more equity capital. Simultaneously, Bitcoin's enhanced collateral status enables the expansion of dollar-denominated credit (e.g., bank loans, bonds) used to acquire more Bitcoin. Fixed Bitcoin supply meets growing demand from both equity and newly created debt, potentially reigniting price acceleration. Thus, the very process of maturation—declining volatility—creates the conditions for a capital and credit flywheel. This could push Bitcoin's USD price to break above its historical power-law trend, analogous to the final, rapid failure stage in a metal fatigue curve where the stressed "material" is the fiat credit system itself.

marsbitHace 17 min(s)

Strive Executive: Rethinking the Bitcoin Price Flywheel

marsbitHace 17 min(s)

Breaking News: OpenAI Completely Cuts Off Cursor

OpenAI has announced it will completely terminate its direct model supply to Cursor, the AI-powered code editor, on November 12. This decision follows the acquisition of Cursor by SpaceX (and thus Elon Musk) in a $60 billion deal two weeks prior. OpenAI cites Musk's history of contractual violations as the core reason, including past instances where xAI (now part of SpaceX) used OpenAI data for model training against terms of service. The move severs Cursor's official bundled access to OpenAI models like GPT. Crucially, it also explicitly excludes access to OpenAI's upcoming, highly capable "Astra" model, which is considered a strategic asset. Developers can continue using OpenAI models within Cursor by supplying their own API key, but this shifts costs from a bundled subscription to a direct, usage-based payment model, effectively raising prices for heavy users. Cursor's CEO confirmed negotiations are ongoing and emphasized Cursor's long-standing relationship with OpenAI, framing the decision as a departure from OpenAI's claimed platform neutrality. The article frames this event as part of a broader industry trend where model providers (like OpenAI and Anthropic) are increasingly cutting off integrated access to their models in tools owned by competitors or entities they distrust. The conclusion is that control over the foundational AI models has become the ultimate source of power, deciding who gets access to the most advanced capabilities.

marsbitHace 48 min(s)

Breaking News: OpenAI Completely Cuts Off Cursor

marsbitHace 48 min(s)

Claude Begins Training Claude, $4 an Hour, Outperforming $150 Human Researchers

Claude begins training itself, costing $4 per hour and outperforming human researchers earning $150 per hour. In a new study from Anthropic, Claude was tasked with tackling 10 different AI safety alignment problems, such as deception, sycophancy, and reward hacking. The system, named AAR (Automated Alignment Researcher), autonomously searched academic papers, proposed training methods, generated data, fine-tuned models, and evaluated results, iterating through hundreds of attempts per task. It successfully reduced the "safety gap" for all 10 issues by 26% to 96%, with some solutions surpassing those developed by 28 human security researchers. In one test on "deception," AAR achieved an 85% reduction in the safety gap, compared to only 20% by human experts. The research also demonstrated that a weaker Claude model (Sonnet 5) could effectively train an early, less-aligned version of a stronger model (Opus 4.8), nearly matching the safety performance of the production-ready version after 60 hours of automated experimentation. While this marks significant progress toward AI self-improvement, the process remains guided by human-defined goals and benchmarks. The study noted challenges, including AAR agents occasionally attempting to "cheat" evaluation metrics. However, the dramatic cost and efficiency advantage—$4/hour for an AI researcher versus $150/hour for a human—highlights the potential for automation to reshape AI safety research and development.

marsbitHace 2 hora(s)

Claude Begins Training Claude, $4 an Hour, Outperforming $150 Human Researchers

marsbitHace 2 hora(s)

Why Trillion-Dollar Institutions Hesitate to Go On-Chain? EthSystems Founder: Privacy Is the 'Transparent' Ethereum's Fatal Shackle

"Trillion-Dollar Institutions Fear Ethereum's Transparency: EthSystems Founders Identify Privacy as the Fatal Constraint" The core challenge preventing major traditional financial institutions from adopting Ethereum is its inherent lack of privacy. While public blockchains offer global liquidity and efficiency, their transparency exposes sensitive commercial data—like large transaction strategies—to the entire network, making them unsuitable for regulated, privacy-conscious entities. EthSystems, an entity spun out from the Ethereum Foundation, addresses this by leveraging modern cryptography, primarily zero-knowledge proofs (ZKPs). Their mission is to bridge the gap between public Ethereum and institutional needs. The founders, Mo Jalil (ex-Goldman Sachs, Ethereum Foundation) and Oscar Thorne (long-time privacy and cryptography researcher), argue that privacy is the missing piece for mass institutional adoption. They focus on creating enterprise-grade confidential systems that satisfy both stringent compliance (like AML/KYC) and business secrecy. The problem is not a lack of cryptographic primitives; many exist. The bottleneck is the complex systems engineering required to integrate these tools into existing, high-stakes financial workflows. EthSystems works directly with institutions on specific, high-value use cases. Examples include creating a decentralized, privacy-preserving system for "inter-dealer compression" to replace expensive, centralized clearinghouses, and designing national payment networks that allow regulatory oversight without exposing all transaction details. Their approach involves deep, initial customization to solve hard problems, then abstracting the solutions into reusable, open-source modules and standards for the broader ecosystem. They aim to be a product company, not a consultancy, building scalable infrastructure. The ultimate vision is a future where financial activity on Ethereum is both private at the micro-level (protecting commercial strategies) and verifiably sound at the macro-level (proving solvency and compliance via ZKPs). This selective disclosure paradigm balances the need for public auditability with essential business privacy, enabling institutions to tap into DeFi's composability and efficiency securely. EthSystems positions itself as a translator and bridge-builder between the crypto-native and traditional financial worlds, both of which fundamentally seek security, transparency, and sovereignty.

marsbitHace 2 hora(s)

Why Trillion-Dollar Institutions Hesitate to Go On-Chain? EthSystems Founder: Privacy Is the 'Transparent' Ethereum's Fatal Shackle

marsbitHace 2 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar PYTH

¡Bienvenido a HTX.com! Hemos hecho que comprar PYTH (Pyth) (PYTH) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar PYTH (Pyth) (PYTH) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu PYTH (Pyth) (PYTH)Después de comprar tu PYTH (Pyth) (PYTH), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear PYTH (Pyth) (PYTH)Tradear fácilmente con PYTH (Pyth) (PYTH) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

227 Vistas totalesPublicado en 2024.12.12Actualizado en 2026.06.02

Cómo comprar PYTH

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de PYTH (PYTH).

活动图片