pythroadmap

Pyth “birinci tərəf” oracle-dir: ilkin qiymət məlumatları birbaşa birjalar, bazar yaradıcıları, maliyyə təşkilatları tərəfindən şəbəkəyə açıqlanır, daha sonra pull oracle modeli ilə toplanır və çoxzəncirli şəkildə paylanır (lazım olduqda qiymət çəkmə tətbiqi). 2025-ci ilin iyul ayına qədər Pyth 125+ məlumat təminatçısını, 1,930+ qiymət axını, 107+ əlaqəli blockchain-i, ~6,95M Entropiya tələblərini, $20,9B+ TVS və 946M+ PYTH OIS (Oracle Integrity Staking) üçün stake edir.

Kripto bazarı sürprizləri sevir və Pyth Şəbəkəsi (PYTH) böyük bir sürpriz təqdim etdi. ABŞ Ticarət Departamenti ilə mühüm bir tərəfdaşlıq elan etdikdən sonra, PYTH-in qiyməti bir gündə 100%-dən çox artdı. Təbii ki, bu addım ticarətçilərin, balinaların və gündəlik investorların diqqətini çəkdi.

PYTH Niyə Bu Qədər Artdı?
Bu yüksəlişin arxasındakı ən böyük səbəb Pyth-ın ABŞ hökuməti üçün oracle tərəfdaşı kimi yeni roludur. Sadə dillə desək, Pyth, vacib iqtisadi məlumatları, məsələn, ÜDM rəqəmlərini, birbaşa blokçeynə gətirməyə kömək edəcək. Bu, həm layihə, həm də daha geniş kripto sənayesi üçün böyük bir addımdır, çünki bu, blokçeyn texnologiyasının real dünya məlumatlarını idarə etmək üçün etibarlı olduğunu göstərir.

In today’s digital economy, data is power. Every trade, every financial decision, and every decentralized application relies on accurate, timely information. Yet, in the decentralized world, bringing reliable off-chain data on-chain has always been a challenge. Enter Pyth Network, an innovative oracle solution designed to solve this very problem by delivering real-time, high-quality data directly from the source.
Unlike many oracles that aggregate information from third-party providers, Pyth takes a first-party approach. This means its data comes directly from leading financial institutions, trading firms, and exchanges that are already active in global markets. By cutting out middle layers, Pyth ensures speed, accuracy, and security—qualities that are absolutely critical in blockchain ecosystems where markets can move in seconds.
Pyth is not limited to cryptocurrency data alone. Its price feeds span across crypto, equities, foreign exchange, and commodities, making it one of the most comprehensive oracle solutions available today. This diversity gives decentralized applications access to a wide range of market information, opening doors to more advanced and innovative use cases in DeFi.
One of Pyth’s strengths is its cross-chain compatibility. Thanks to its unique design and the Wormhole messaging protocol, Pyth’s data can be accessed across multiple blockchains. Developers on Ethereum, Solana, Aptos, and many other chains can integrate Pyth feeds seamlessly, ensuring their applications always have reliable market information at their core.
This has far-reaching implications. For decentralized exchanges, Pyth enables fairer and faster pricing. For lending and borrowing protocols, it ensures that collateral values are always up to date. For derivatives and prediction markets, it provides the foundation for trust, accuracy, and user confidence.
Beyond technology, Pyth embraces the ethos of decentralization through its community-driven governance model. Holders of the PYTH token can actively participate in shaping the network, from deciding on new integrations to adjusting incentives. This ensures the project remains aligned with its users and contributors, not just centralized entities.
The true significance of Pyth lies in its role as a bridge between traditional finance and decentralized finance. By enabling institutional-grade data to flow into blockchain applications, Pyth lowers the barriers for traditional financial players to engage with Web3. At the same time, it empowers everyday DeFi users with the same quality of data once reserved for large institutions.
As blockchain technology grows, one truth becomes clearer: without reliable data, decentralized systems cannot function effectively. Pyth Network is addressing this critical need head-on, positioning itself as the backbone of trustworthy, real-time information in the decentralized economy.
With its innovative approach, strong partnerships, and expanding ecosystem, Pyth is not just keeping up with the pace of Web3—it’s setting the standard for how data should power the future of finance.
#PythRoadmap @Pyth Network $PYTH

En un mundo donde la información es poder, la falta de transparencia en los mercados financieros puede ser un obstáculo significativo para el crecimiento y la estabilidad económica. Sin embargo, Pyth Network está cambiando el juego al proporcionar acceso a datos económicos en tiempo real y confiables. Con su visión de llevar el precio de todo en la cadena, Pyth está haciendo que los datos de mercado vitales estén abiertos a todos, permitiendo a los constructores, instituciones y protocolos tomar decisiones informadas y estratégicas.
La transparencia en los datos económicos es fundamental para el funcionamiento eficiente de los mercados financieros. Pyth Network está proporcionando una plataforma para que los desarrolladores y las instituciones puedan crear productos financieros innovadores y transparentes. Con feeds de datos que incluyen empleo, inflación y crecimiento del PIB, Pyth está empoderando a los participantes del mercado para construir con datos que tradicionalmente han estado detrás de sistemas cerrados. Esto permite a los desarrolladores crear modelos de predicción más precisos y reducir el riesgo de inversión.
Las finanzas programables en cadena necesitan un conjunto en constante expansión de entradas confiables. Pyth está proporcionando la infraestructura necesaria para que los contratos inteligentes puedan hacer referencia a puntos de referencia económicos en tiempo real, mejorando la precisión y reduciendo disputas. Esto permitirá a los constructores e instituciones diseñar productos financieros que se muevan con la realidad económica, gestionando riesgos y tomando decisiones financieras de manera más efectiva. En particular, la industria de la gestión de activos podría beneficiarse significativamente de la tecnología de Pyth, al permitir a los gestores de activos tomar decisiones más informadas y precisas sobre la asignación de activos.
Pyth está comprometida con su misión de democratizar los datos económicos globales. Con una hoja de ruta que incluye más categorías y regiones, Pyth está ampliando su cobertura y continuando su trabajo para llevar el precio de todo a la cadena. Los desarrolladores e instituciones pueden comenzar a utilizar los datos de Pyth hoy mismo, aprovechando las oportunidades que ofrece esta tecnología y creando productos financieros más innovadores y transparentes. En el futuro, Pyth podría expandirse a otros sectores, como la agricultura o la energía, proporcionando datos en tiempo real y confiables que puedan ayudar a los participantes del mercado a tomar decisiones más informadas.
La transparencia y la eficiencia que Pyth Network está llevando a los mercados financieros tienen el potencial de revolucionar la forma en que se toman decisiones económicas. Al proporcionar acceso a datos en tiempo real, Pyth está permitiendo a los participantes del mercado reaccionar de manera más rápida y precisa a los cambios en la economía. Esto puede llevar a una mayor estabilidad y crecimiento económico, y sentar las bases para un sistema financiero más abierto y equitativo. En este sentido, la misión de Pyth de llevar el precio de todo en la cadena es un paso clave hacia un futuro financiero más transparente y sostenible, donde todos los participantes puedan tomar decisiones informadas y construir un futuro más próspero.
@Pyth Network
#PythRoadmap
$PYTH

The Emergence of Market Data Empires
For decades, global finance has been dominated by a small circle of information giants that transformed raw market data into one of the most profitable monopolies in existence. Bloomberg, established in 1981, mastered the business of selling speed and precision to financial institutions willing to pay hefty fees—often thousands of dollars per terminal each month. Alongside it, Thomson Reuters (later Refinitiv) constructed an empire around collecting, packaging, and selling feeds that became the lifeblood of financial markets. These corporations didn’t just sell information—they determined access to financial reality itself. Traders, fund managers, and even central banks couldn’t act without assurance that the data on their screens was the closest reflection of market truth.
This model thrived because the stakes were monumental. In markets where billions are exchanged in milliseconds, a one-second edge meant outsized profits. Firms paid exorbitant fees because the rewards outweighed the expense. Over time, this created a heavily gated ecosystem where market data was hidden behind expensive paywalls, producing a two-class system: those with Bloomberg terminals and those without.
Decentralized finance (DeFi) is flipping that model on its head. In a borderless market where anyone can lend, trade, or invest without middlemen, the idea of restricted access to data feels outdated. Smart contracts cannot subscribe to Bloomberg terminals; they need on-chain feeds that are fast, verifiable, and universally available. This is the exact gap Pyth Network has moved to fill.
Pyth Network’s Purpose
Pyth Network isn’t just another oracle—it’s a direct confrontation of the financial data oligopoly. Where Bloomberg and Refinitiv built exclusivity, Pyth is forging decentralization and openness. By linking primary data sources straight to blockchains, Pyth eliminates the costly intermediaries who profited from controlling information. Its mission is simple yet bold: transform financial data into a public utility, accessible to both decentralized and traditional finance. Its foundation lies in who provides the data. Instead of anonymous validators or third-party scrapers, Pyth sources directly from the entities producing it—trading firms, exchanges, and market makers. These contributors already have incentives to publish accurate numbers, as inaccuracies cost them real money. This creates unmatched reliability compared to scraped APIs or second-hand aggregators.
And Pyth isn’t limiting itself to crypto assets. It already delivers feeds for equities, forex, commodities, and even macroeconomic indicators like U.S. GDP. This makes it more than just a DeFi tool—it positions itself as a universal data layer capable of serving Wall Street and DeFi alike.
How Pyth Operates
At its core, Pyth uses a publishing-and-aggregation system to ensure accuracy and speed. Contributors push signed updates, which are aggregated into consolidated feeds including both prices and confidence intervals that account for volatility. Smart contracts then verify these feeds with cryptographic proofs.
Unlike Chainlink’s push-based model, Pyth uses a pull-based approach. Applications request the data only when they need it, reducing inefficiency and enabling sub-second updates across more than 70 blockchains. This scalability is critical for high-speed trading and DeFi derivatives.
The philosophy is clear: data should be fast but not wasteful, accurate yet resilient, and efficient enough for modern finance.
Real-Time Finance Becomes the Standard
DeFi is evolving rapidly, with decentralized exchanges, order books, and derivative platforms mirroring traditional finance. In this landscape, latency is not a small inconvenience—it’s a survival factor.
Pyth’s sub-second feeds put DeFi on equal footing with centralized exchanges. For protocols like Drift on Solana or Injective’s perpetual markets, real-time accuracy is indispensable. Without it, slippage grows, arbitrage spreads widen, and user trust collapses. With it, DeFi platforms can compete head-to-head with centralized players while preserving blockchain transparency and composability. This signals the dawn of a new standard: real-time finance powered natively on-chain.
Ecosystem Expansion
Supporting more than 70 blockchains isn’t just technical—it’s strategic. Each chain has its own mechanics and developer culture. Delivering consistent, verifiable data across them is a monumental challenge.
On Solana, Pyth is indispensable for derivatives. On Injective, it enables institutional-grade perpetual futures. On Aptos and Sui, it jumpstarts DeFi ecosystems. Even on Ethereum, where Chainlink has been dominant, Pyth is gaining traction in fast-moving applications.
Symbolically, publishing U.S. GDP on-chain was a milestone. For the first time, a critical macroeconomic measure used by governments and institutions became available to smart contracts. This demonstrated that Pyth is not just for crypto—it is bridging traditional finance with decentralized systems.
Disrupting the $50B Industry
The financial data business is worth over $50 billion annually, controlled by monopolistic giants. Their power comes from exclusivity, not scarcity. Pyth flips this model by treating data as a shared resource. its Phase Two introduces subscription-based feeds for institutions, ensuring sustainability while remaining competitive. Instead of paying $20,000 per year for a Bloomberg terminal, clients can access equal or better quality data at far lower costs—and with direct blockchain integration.
Just as decentralized exchanges disrupted centralized ones, Pyth has the potential to shatter the information monopoly.
Roadmap & Phase Two
Pyth’s roadmap is about expanding coverage, adding more publishers, and fortifying feed reliability. Medium-term, Phase Two introduces subscription economics where institutional fees flow back to publishers and token holders via the DAO. This pivot is critical: moving away from speculative tokenomics into revenue-driven sustainability. If executed well, Pyth could become one of the rare crypto networks where token value is tied directly to real-world usage.
Competition in the Oracle Arena
Chainlink remains the market leader, securing billions across protocols. API3 and Band Protocol operate in niches but lack global reach.
Pyth differentiates with speed, breadth, and first-party partnerships. As DeFi evolves into high-performance markets, Pyth’s advantages become sharper. Developers may come to view Chainlink as the “default” for basic feeds, but Pyth as the premium, high-frequency oracle.
Institutional Trust & Adoption
Trust is the lifeblood of data. Pyth’s direct publishing model offers a level of credibility vital for institutional adoption. TradingView’s integration of Pyth data proves its reliability meets professional standards.
As tokenization of real-world assets accelerates, trustworthy on-chain data will be non-negotiable. Pyth is strategically positioned to supply it.
Challenges Ahead
Oracle manipulation risks (though reduced via aggregation).
Regulatory scrutiny as macroeconomic feeds grow.
Intellectual property disputes with legacy providers.
Sustainability if institutional adoption lags.
Chainlink’s dominance also remains a significant barrier, but the demand for speed and breadth could tilt momentum toward Pyth.
Tokenization & AI: The Next Frontier
Tokenization is moving from theory to reality, with giants like BlackRock and JPMorgan already piloting tokenized bonds, equities, and commodities. None of this works without accurate, real-time feeds. Pyth provides the infrastructure these tokenized markets require.
AI adds another layer. Machine learning models thrive on high-quality, real-time data. Pyth can become the backbone for on-chain AI agents executing trades or managing portfolios in real time—something legacy providers cannot offer.
Governance as Infrastructure
Pyth’s DAO-led governance ties usage, revenue, and token incentives together. Phase Two makes it a revenue-sharing cooperative: more adoption drives more income, boosting the ecosystem sustainably.
This governance model is rare in crypto and could become a blueprint for other decentralized infrastructures.
Why Decentralized Truth Prevails
Pyth embodies the idea of decentralized truth—data that is open, verifiable, and universally accessible. Unlike monopolies that gate information, Pyth creates inclusivity, resilience, and transparency.History shows that open systems nearly always win once they reach parity with closed ones. Pyth may be the decentralized Bloomberg of the future.
#PythRoadmap I @Pyth Network I $PYTH

2025-ci ildə Pyth Şəbəkəsi qlobal maliyyə məlumatları üçün vacib infrastruktur qatına çevrilməkdə dinamik irəliləyiş etməyə davam edir. Bu dövr, mərkəzləşdirilmiş maliyyə sahəsindəki erkən köklərindən əhəmiyyətli bir evrim mərhələsini qeyd edir, ultra-aşağı gecikmə və etibarlı qiymət məlumatlarını həm kripto-yerli bazarlara, həm də ənənəvi maliyyə institutlarına təqdim etməyə yönəlir. Bu ikili yanaşma Pyth-ın daha geniş istifadəçi spektrini ələ keçirməsinə imkan tanıyır, müasir alqoritm əsaslı bazar üçün vacib olan real vaxt məlumatlarını təqdim edir.

在Pyth Network的发展蓝图中，“第二阶段：推出机构级数据订阅产品”是连接DeFi生态与500亿美元市场数据行业的关键一步。如果说Pyth的第一阶段是通过DeFi场景验证技术与生态，那么第二阶段则是正式向传统机构客户发力，用“机构级标准”的市场数据服务，打破中心化机构的垄断，同时为$PYTH 代币构建更坚实的价值支撑——这一阶段的落地，将直接决定Pyth能否在庞大的市场数据行业中占据一席之地。
首先需要明确，“机构级数据订阅产品”与Pyth此前的DeFi数据服务有本质区别。DeFi场景对数据的需求更侧重“实时性”与“公允性”，而机构客户（如传统金融机构、大型企业、政府部门）对数据的要求更为严苛，主要体现在三个维度：数据合规性（需符合全球不同地区的数据隐私法规，如GDPR、CCPA）、数据可靠性（数据来源需经过严格审核，避免虚假数据）、服务稳定性（需提供7×24小时技术支持，确保数据不中断）。Pyth的机构级产品正是围绕这三大需求设计，针对性解决传统机构使用Web3数据服务的顾虑。
从产品细节来看，Pyth的机构级数据订阅产品包含三大核心功能：
全品类合规数据覆盖：不同于DeFi阶段仅聚焦加密货币价格，机构级产品覆盖股票、债券、大宗商品、外汇、电商零售数据、供应链物流数据等全品类市场数据。每一类数据的来源都经过Pyth DAO审核，确保符合当地合规要求——例如，股票数据来源于受监管的证券交易所，零售数据来源于合规的电商平台，且所有数据传输过程均采用端到端加密，避免数据泄露风险。机构客户可根据自身需求，选择单一品类或多品类数据订阅，灵活度远超中心化机构的“打包订阅”模式。
定制化数据分析工具：机构客户不仅需要原始数据，更需要基于数据的分析能力。Pyth为机构客户提供定制化数据仪表盘与分析模型，例如，某对冲基金可通过Pyth的工具实时监测全球大宗商品价格波动，并生成风险预警报告；某零售企业可通过工具分析不同地区的商品价格趋势，优化供应链采购策略。这些工具支持API接口与传统企业系统（如ERP、CRM）对接，降低机构客户的使用门槛。
SLA级服务保障：为满足机构客户对稳定性的需求，Pyth推出“服务等级协议（SLA）”，承诺数据可用性达99.99%，若出现数据中断，将根据中断时长向客户补偿$PYTH 代币。同时，Pyth组建了专业的机构服务团队，为客户提供7×24小时技术支持，解决数据接入、使用过程中的问题——这是Web3项目首次为机构客户提供如此高标准的服务保障，也是Pyth区别于其他去中心化数据项目的核心优势。
从商业模式来看，机构级数据订阅产品将为Pyth生态带来持续的现金流，进而反哺PYTH代币价值。机构客户订阅数据需支付PYTH代币或法币（法币收入将用于回购PYTH并注入DAO国库），其中一部分收入用于激励数据提供者（如交易所、传感器拥有者），另一部分进入DAO国库，由PYTH持有者通过治理决定用途（如技术研发、市场推广、生态拓展）。这种“机构付费→生态收益→代币增值”的闭环，让PYTH的价值不再依赖单一的DeFi场景，而是与机构客户的付费规模深度绑定——随着订阅机构数量增加，PYTH的需求与DAO国库规模会同步增长，形成正向循环。
目前，Pyth已启动机构级数据订阅产品的测试，首批合作客户包括某欧洲资产管理公司、某全球大宗商品贸易商，测试反馈显示，Pyth的数据延迟、合规性均达到机构标准，且订阅成本仅为中心化机构的1/3。按照Pyth的规划，2024年底前将正式推出机构级产品，并覆盖100+机构客户——这意味着Pyth将从“DeFi基础设施”正式升级为“跨传统与Web3的市场数据服务商”，向500亿美元市场数据行业的目标迈出关键一步。对于$PYTH 持有者而言，第二阶段的落地不仅是生态的扩张，更是代币价值的重要支撑，值得长期关注。
@Pyth Network #PythRoadmap $PYTH

Decentralized Governance Framework
The governance structure of $PYTH represents one of the most sophisticated decentralized decision-making systems in blockchain infrastructure. Token holders directly influence protocol parameters, fee structures, and strategic direction through on-chain voting mechanisms. The governance framework balances stakeholder interests including developers, data providers, users, and token holders effectively. Proposal thresholds ensure serious submissions while remaining accessible to engaged community members. The voting power distribution prevents whale domination while rewarding long-term aligned participants. Delegation mechanisms enable passive holders to participate through trusted representatives. The governance process includes discussion periods, formal proposals, and implementation phases ensuring thoughtful decisions. Time locks on approved changes provide security against malicious proposals while enabling upgrades. The system has successfully processed over 50 governance proposals without contentious forks or disputes.
Participation rates exceed 30% of circulating supply, demonstrating strong community engagement in protocol direction. The governance forum hosts vibrant debates on protocol improvements and strategic initiatives. Technical proposals receive thorough review from core developers and security experts before voting. Economic proposals undergo modeling and analysis to understand potential impacts comprehensively. The transparent process builds confidence among institutional participants evaluating protocol stability. Binance users participate in governance through platform integration simplifying the voting process. The governance token value correlates with protocol control rights beyond simple speculation. Successful governance creates competitive advantages through rapid adaptation to market needs. The decentralized structure ensures no single entity controls critical financial infrastructure. Long-term sustainability depends on effective governance balancing diverse stakeholder interests successfully.
Treasury Management Strategies
@Pyth Network controls a treasury worth over $500 million, providing resources for development, growth, and ecosystem support. The treasury management follows conservative principles prioritizing capital preservation while generating yield. Diversification across stablecoins, blue-chip cryptocurrencies, and yield-generating strategies reduces risk exposure. Governance proposals determine treasury allocation between development funding, ecosystem grants, and reserves. The transparent treasury operations enable community monitoring of fund usage and performance. Professional treasury management tools ensure efficient operations meeting institutional standards. Regular reporting provides accountability for treasury decisions and performance metrics. The treasury's size enables long-term planning without dependence on continuous fundraising.
Strategic use of treasury funds accelerates protocol development and adoption through targeted investments. The grant program funded from treasury created significant ecosystem value exceeding investment amounts. Partnership incentives from treasury facilitate integration with major protocols and institutions. Security investments including audits and bug bounties protect protocol and user funds. Marketing and education initiatives expand awareness and adoption globally using treasury resources. The treasury provides insurance fund backing, enhancing user confidence in protocol safety. Revenue generated by treasury investments supplements protocol income, improving sustainability. Governance token buybacks using treasury funds could support price while reducing supply. The treasury strategy balances current needs with long-term sustainability requirements. Professional advisors assist with complex treasury decisions requiring specialized expertise.
Voting Power Dynamics
The distribution and evolution of voting power within the Pyth ecosystem reveals interesting dynamics affecting protocol direction. Early contributors and investors hold significant voting power but face vesting restrictions limiting immediate influence. The gradual unlock schedule democratizes governance as tokens distribute more widely over time. Active participants accumulate voting power through open market purchases and ecosystem contributions. Delegation markets emerge where passive holders lend voting power to active governance participants. The correlation between voting participation and token value encourages long-term thinking. Proposal outcomes often reflect broad consensus rather than narrow special interests. The voting system prevents governance attacks through economic requirements and time delays.
Coalition building becomes essential for passing significant proposals requiring community education and consensus. The transparent voting records enable analysis of participant behavior and preferences. Institutional voters bring professional governance experience from traditional corporate settings. The balance between technical and economic proposals reflects diverse participant interests. #PythRoadmap approval through governance ensures community alignment with development priorities. Controversial proposals trigger extensive debate, ultimately strengthening decisions through scrutiny. The voting power dynamics evolve as the ecosystem matures and stakeholders change. Participation incentives under consideration could increase governance engagement further. The health of governance reflects in protocol success and token value appreciation. Long-term holders accumulate increasing influence through patient governance participation.
Economic Parameter Control
Governance control over economic parameters provides $PYTH holders significant influence over protocol economics and value accrual. Fee structures across different services adjust through governance proposals balancing revenue and adoption. The distribution of fee revenue between stakeholders involves complex tradeoffs requiring careful consideration. Inflation schedules and token emission rates fall under governance control after initial vesting completes. Staking parameters including rewards and slashing conditions are determined through community governance. The insurance fund size and coverage parameters adjust based on risk assessment and community preference. Grant program funding levels and focus areas reflect governance priorities for ecosystem development. Revenue sharing mechanisms with data providers balance incentives and protocol sustainability.
Parameter changes undergo extensive modeling before proposal submission, ensuring informed decision-making. The gradual adjustment approach prevents dramatic changes that could destabilize the protocol. Emergency parameters enable rapid response to threats while maintaining decentralized control. The economic framework flexibility enables adaptation to changing market conditions and competition. Binance integration parameters optimize for exchange ecosystem while maintaining protocol independence. The community's economic expertise grows through participation in parameter discussions and decisions. Successful parameter optimization directly impacts token value through improved protocol economics. The governance control over economics differentiates Pyth from centrally controlled competitors. Long-term economic planning through governance ensures sustainable protocol development. The sophisticated approach to economic governance attracts institutional participants valuing predictability.
Future Governance Evolution
The governance system continues evolving with proposals for improvements based on experience and ecosystem growth. Quadratic voting mechanisms under consideration could better reflect community preferences versus whale dominance. Reputation systems might weight votes based on contribution history beyond simple token holdings. Specialized committees for technical, economic, and strategic decisions could improve proposal quality. The integration of zero-knowledge proofs could enable private voting while maintaining transparency. Cross-chain governance coordination becomes necessary as Pyth expands across multiple blockchains. Governance mining proposals would reward active participants, encouraging broader engagement.
AI-assisted governance tools could help participants understand complex proposals and implications. The evolution toward progressive decentralization transfers more control to the community over time. Governance workshops and education programs improve participant capability for informed decision-making. The governance roadmap includes milestones for achieving full decentralization and autonomy. International governance participation requires consideration of timezone and language barriers. The governance system's maturity attracts institutional participants comfortable with structured decision-making. Lessons from other protocol governance inform improvements avoiding known pitfalls. The commitment to governance evolution ensures long-term protocol adaptability and resilience. Binance governance tools integration could significantly expand participation accessibility. The future governance model could become a template for decentralized infrastructure management. Token holder value increases with governance maturity and demonstrated effective decision-making. The governance goldmine extends beyond current value to future protocol control rights.
This article is for informational purposes only and does not constitute financial advice.
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Hər böyük sistemin bir zəifliyi var, maliyyə sahəsində isə bu, həqiqətin özüdür. Düzgün məlumat—gecikmiş məlumatlar, dəyişdirilmiş qiymətlər və ya köhnəlmiş göstəricilər—bazarları qurutmuş, ədalətsiz likvidasiyalar və səhv ticarətlər vasitəsilə milyardlara başa gəlmişdir. Ənənəvi maliyyə təhlükələri dışarıda saxlamaq üçün divarlar yaradır, lakin divarlar təzyiq altında qırılır. Bu günün bazarları bir firewall-a ehtiyac duyur və Pyth Network bunu təmin etmək üçün qurulmuşdur.
Görünməyən Təhlükə
Bazarlar boş cibdən çökmür—onlar həqiqət pozulduqda çökür: Gecikmiş qiymət məlumatı mükəmməl sağlam vəziyyətləri likvidasiya edə bilər.

within the evolving global of decentralized finance (DeFi), oracles play a crucial role in offering dependable data to smart contracts. those oracles allow clever contracts to fee property, cause liquidations, and execute trades.
For years, Chainlink has been the dominant participant within the oracle space, powering a majority of DeFi protocols. but, with the upward push of excessive-frequency trading (HFT) and the growing demand for real-time data, the panorama has began to shift.
@undefined has emerged as a competitor, specializing in providing low-latency, excessive-frequency records that meets the demands of nowadays’s rapid-paced trading environments. right here's a detailed breakdown of ways Pyth has carved out its area of interest and what it approach for the destiny of DeFi oracles.
1. Chainlink’s Strengths: Resilience and extensive Applicability
Chainlink’s structure became designed to serve a extensive variety of use instances, making it quite resilient and relevant across many sectors. it works by using collecting off-chain statistics from numerous assets and aggregating it before turning in it to blockchain networks. This setup is ideal for packages where sub-2nd precision is not required, consisting of:
coverage contracts
Random wide variety era
Governance statistics
For these use cases, Chainlink’s version works perfectly well, imparting a dependable and cozy manner of bringing off-chain statistics onto the blockchain. Chainlink’s off-chain aggregation and update cycles make it powerful for general-purpose packages in DeFi, where speed isn't always as vital.
This made Chainlink the pass-to oracle for lots protocols in the course of the early stages of DeFi increase.
2. The want for pace in excessive-Frequency trading
as the DeFi environment matured, the point of interest shifted toward greater sophisticated financial products, including perpetual futures, alternatives trading, and liquidation protocols. those products require actual-time facts to carry out important capabilities like:
investment price calculations
Liquidation management
settlement agreement
In high-frequency trading environments, latency will become a large difficulty. some seconds put off in receiving marketplace information can bring about catastrophic economic losses, especially within the case of liquidation cascades in the course of volatile marketplace swings. conventional off-chain statistics aggregation used by Chainlink isn't always fast enough for those types of use instances.

In other phrases, for protocols coping with perpetual futures or liquidations, each millisecond topics. Chainlink's latency—due to its reliance on off-chain aggregation—can not assist the overall performance required by way of these excessive-pace, excessive-stakes buying and selling environments.
3. Pyth community: actual-Time, excessive-Frequency facts for DeFi
Pyth community takes a one-of-a-kind approach to the oracle trouble by means of sourcing records at once from first-birthday celebration publishers. those publishers encompass principal trading corporations, exchanges, and market makers, a lot of whom deal with real-time marketplace records on a every day foundation.
as opposed to aggregating statistics from more than one assets off-chain, Pyth faucets without delay into the raw market statistics as it's far published, putting off the want for intermediaries and permitting the platform to offer faster, more accurate updates.

This direct sourcing allows Pyth network to supply near real-time updates—frequently with sub-2d latency—which is right for the high-frequency needs of DeFi protocols.
In environments like perpetual futures and alternatives trading, Pyth’s pace offers DeFi protocols the performance they need to execute efficaciously, manage liquidations hastily, and ensure accurate fee feeds.
the velocity furnished through Pyth isn't always just a technical advantage—it is a fundamental recreation-changer for DeFi. It allows whole monetary products that had been previously not possible or inefficient on different oracles.
Protocols that need speedy, correct, and common updates can now function leaner, more secure, and more capital-efficient thanks to Pyth’s actual-time information.
4. coverage and wealthy facts units: Pyth’s growth past Crypto
one of the key differentiators for Pyth network is its potential to provide facts across a extensive type of asset training and blockchains. Pyth is not confined to just cryptocurrency costs—it additionally covers equities, commodities, foreign exchange rates (FX), and extra.
This various insurance is made feasible via its partnerships with essential economic institutions and market makers, who contribute proprietary information that became once unavailable to DeFi protocols.

in contrast to Chainlink, which has traditionally centered on aggregating statistics from popular assets, Pyth affords a extra complete and specialised dataset that consists of institutional-level facts.
This lets in Pyth to offer not simply quicker updates, however additionally richer records throughout a huge variety of asset classes. the combination of this diverse dataset into DeFi programs helps protocols function greater efficiently and make greater correct decisions in actual time.
5. Decentralization and overall performance: Can Pyth Compete with Chainlink?
A not unusual argument towards Pyth community is its lack of decentralization in comparison to Chainlink, which has an extensive network of decentralized node operators.
Chainlink’s decentralized structure presents a higher degree of resilience and safety, making it a relied on oracle in diverse packages that require a high degree of trustlessness.

but, Pyth network is actively evolving within the path of decentralization. at the same time as it is able to no longer have as tremendous a node operator community as Chainlink in the mean time, Pyth is operating on a governance framework, token incentives, and a community-driven version for publisher onboarding that encourages a decentralized technique with out sacrificing the velocity of its information feeds.
In truth, the potential of Pyth to combine excessive-frequency performance with decentralization is one of the key factors that sets it other than Chainlink. it's miles proving that velocity and decentralization can coexist, offering the exceptional of each worlds—without compromising on performance.
6. The destiny of the Oracle Race: performance Over coverage
the broader implication of Pyth’s rise is that the oracle race is no longer pretty much insurance. For a long time, oracles like Chainlink won the race with the aid of offering vast insurance, helping a huge range of information sorts across a couple of blockchains.
however as DeFi matures and the call for for more sophisticated economic gear grows, overall performance has become the dominant aspect.
DeFi protocols now require quicker, more accurate information to support excessive-frequency products. The oracle that could combine breadth, accuracy, and velocity will become the same old for the next generation of DeFi programs.
@Pyth Network is making a bet that real-time records is the missing factor in an effort to elevate DeFi to the level of traditional finance in terms of sophistication and performance.
7. Chainlink vs. Pyth: stages of Oracle Evolution
The comparison among Chainlink and Pyth community displays awesome tiers of oracle evolution. Chainlink solved the first-technology hassle—the way to reliably deliver off-chain data onto blockchains, making it suitable for wellknown-reason DeFi applications.
Chainlink supplied the muse for bringing dependable and relaxed statistics feeds to smart contracts, making it the backbone of DeFi in its early ranges.

but, because the market has matured, the focal point has shifted from just reliable facts delivery to excessive-frequency performance. Pyth community is fixing the following-era trouble—delivering real-time, high-frequency facts at the speed that monetary markets call for. by sourcing statistics immediately from first-celebration publishers, Pyth guarantees that its facts feeds are not handiest quicker but also more reflective of real-time market situations.
In these days’s excessive-frequency buying and selling international, milliseconds count. Pyth is proving it is able to meet those needs and is constructing the infrastructure wished for the destiny of DeFi.
end: Pyth’s position in the destiny of DeFi Oracles
ultimately, Pyth network has positioned itself as the oracle of choice for high-frequency DeFi packages. even as Chainlink stays a key participant with a focal point on broad coverage and decentralization, Pyth is leading the manner in terms of performance, speed, and actual-time information shipping.
because the DeFi ecosystem keeps to grow and evolve, Pyth’s capacity to provide low-latency and high-frequency statistics will be important for the development of subsequent-generation financial merchandise. in the age of high-frequency buying and selling, milliseconds rely, and Pyth is proving it can be the oracle built for this rapid-paced world.
#PythRoadmap

@Pyth Network

$PYTH

Pyth Şəbəkəsi sizə DeFi və ya TradFi tətbiqinizi kriptoda ən etibarlı, gecikmə minimallaşdırılmış qiymət məlumatlarına əsaslanmağa imkan verir. Məlumatı birbaşa birjalardan və ticarət şirkətlərindən əldə edərək, Pyth sub-saniyə yeniləmələri təqdim edir və daxili qeyri-müəyyənlik göstəriciləri ilə sizə strategiyaları avtomatlaşdırmağa, riskləri idarə etməyə və zəncirlər arasında kompromissiz genişlənməyə imkan verir.
Niyə Birinci Tərəf Məlumatları Oyun Dəyişir
Ənənəvi orakllarda, qiymət məlumatları tez-tez API son nöqtələrini qazır və ya ikincil provayderləri birləşdirir. Pyth bu modeli pozaraq, bazar likvidliyini yaradan firmaları - ən yaxşı birjalar, yüksək tezlikli ticarət masaları və OTC masaları - imzalanmış qiymət yeniləmələrini dərc etməyə dəvət edir. Bu dizayn deməkdir: