Pyth

**Pyth Network's price feeds demonstrated reliable performance** during weekend trading, accurately pricing HIP-3 commodity markets including: - Oil futures - Gold - Silver - Other commodity derivatives The oracle network powered trading activity on [tradexyz](https://tradexyz.com) and [Dreamcash](https://dreamcash.com) platforms, maintaining continuous price accuracy during typically low-liquidity weekend periods. **This follows Pyth's positioning as a trusted infrastructure provider** for always-on markets, offering real-time pricing data to decentralized trading platforms requiring 24/7 oracle services.

Pyth Network has launched a community hackathon welcoming builders of all skill levels to create projects using their oracle infrastructure. **Requirements:** - Integrate Pyth Price Feeds or Entropy - Provide working demo or deployment - Open source the code - Share project publicly **What to Build:** Participants can develop trading tools, prediction markets, data dashboards, DeFi experiments, or other market infrastructure. AI-assisted development is encouraged. Official guidelines available at: [Pyth Community Hackathon Rules](https://dev-forum.pyth.network/t/pyth-community-hackathon-official-rules/521?utm_source=organic_social&utm_medium=x_post&utm_campaign=2603_post&utm_term=ai_hackathon)

The Pyth Community Hackathon is now live, running from March 5 to April 1. This 6-week global build sprint invites developers, traders, and builders to experiment with real market data. **Key Details:** - 🏆 200,000 PYTH token prize pool - 👥 Teams of up to 2 people - ⏰ 6-week timeline (March 5 - April 1) **Structure:** - Weeks 1-4: Build and share progress publicly - Weeks 5-6: Panel scoring + community voting The hackathon aims to explore new possibilities when real market data becomes accessible to builders. No advanced credentials required—just ideas and creativity. Terms and conditions apply.

The Pyth Community Hackathon is now live, offering a 6-week global build sprint for developers and traders to experiment with real market data. **Key Details:** - Organized by the DAO's Community Council - Open to developers, traders, and curious minds - Participants can build with [Pyth Price Feeds](https://pyth.network) or Pyth Entropy - No advanced credentials required—just ideas and an AI copilot **What You Can Build:** - Trading tools - Prediction markets - Data dashboards - DeFi experiments - Unexpected market infrastructure AI-assisted development and experimental coding approaches are encouraged.

**Growing friction emerges between traditional finance and oracle networks** A notable tension has developed between major financial institutions and Pyth Pro, the leading first-party oracle network. This marks a shift from December 2025, when top banks and institutions were actively integrating Pyth Pro into their systems. **Key developments:** - Major banks now experiencing friction with Pyth Pro - Represents reversal from previous integration trend - Situation remains unresolved as of early March 2026 The cause of this tension and its potential impact on institutional crypto adoption remains unclear.

**Multi-chain expansion for Paradex** The $DIME price feed from Paradex is now operational across more than 100 blockchains. This deployment marks a significant infrastructure milestone for the platform's native token. **Key details:** - Price feed accessible on 100+ chains - Native token for Paradex platform - Enables cross-chain price discovery The rollout follows similar oracle integrations in the space, including recent work with Parallel Money's stablecoin infrastructure across 6 chains.

Pyth has launched a price feed for **USDsui**, a native stablecoin on Sui Network issued by Stablecoin. This follows Pyth Pro's recent launch on Sui, which brought institutional-grade real-time data to the ecosystem. The platform now powers several major protocols: - **Aftermath Finance** - Using Pyth Pro for USDC-margined perpetuals - **LMAX Group** - Integrating real-time data for perpetual futures trading Pyth Pro delivers 24/5 pricing across equities, crypto, FX, and metals, removing speed and accuracy bottlenecks for DeFi applications like perps, lending, and liquidations on Sui.

Pyth Network is bringing real-time pricing infrastructure to precious metals markets. The oracle network, known for delivering ultra-granular price feeds with update times as short as 1 millisecond through its Lazer technology, is now extending its services to commodities trading. **Key Points:** - Pyth's infrastructure enables precise, low-latency price data for precious metals - The network already powers multiple DeFi protocols including WOOFi, Raydium, and Saros - Lazer technology provides institutional-grade market data to blockchain applications This integration bridges traditional commodity markets with decentralized finance infrastructure, potentially improving price discovery and execution for digital asset traders dealing with tokenized precious metals.

**Douro Labs is pushing the SEC to modernize the Vendor Display Rule** under Regulation NMS Rule 603, arguing that 20-year-old regulations no longer reflect how modern markets operate. The proposal introduces a **Fair Quote Presentation framework** that would: - Allow competitive and verifiable pricing systems like Pyth - Support tokenized and real-time trading environments - Preserve investor protection while enabling innovation **Pyth delivers execution-relevant pricing** sourced directly from firms actively setting prices, creating a consolidated, low-latency market view aligned with real-time settlement. The initiative has gained attention in [Traders Magazine](https://www.tradersmagazine.com/featured_articles/douro-labs-pushes-sec-to-modernize-vendor-display-rule/), with the full comment letter available on the [SEC website](https://www.sec.gov/files/douro-labs-comment-letter-rule-603-vendor-display-rule-022026.pdf).

Pyth Network has launched real-time price feeds for Natural Gas Futures (NGD) on Pyth Pro. The oracle network now provides live data for NGD alongside its existing catalog of over 2,500 assets. Users can access these feeds through the Pyth price feeds platform. This expansion adds traditional commodity futures data to Pyth's oracle infrastructure, enabling developers to integrate natural gas pricing into their applications.