
The Pyth DAO has officially approved its new Pythian Council through on-chain voting. The 8-member council will oversee crucial governance responsibilities including:
- Price layer upgrades
- On-chain data request management
- Protocol fee administration
New Council Members:
- @lmount_
- @GeorgeXBTO
- @ZenYaserJ
- @architehc
- @y2kappa
- @nope_sol
- @jayantkrish
- @KemarTiti
The council members will serve as signers of the Pythian Multisig Wallet, ensuring decentralized governance of the protocol.
The Pythian Council has officially been approved by the Pyth DAO 🏛️ This council helps carry out key governance for the Pyth DAO—upgrading the price layer, setting on-chain data requests, and managing protocol fees. Join us in welcoming the new Pythian Council!
It’s time to approve the Pythian Council and budget 🗳️ Make your voice heard below 👇
Pyth and Wormhole: Building Institutional Infrastructure Before the Hype
**Pyth Network** and **Wormhole** have been quietly building institutional-grade infrastructure for years, well before market demand materialized. **Key developments:** - Pyth's data model was designed with institutional standards from the start - Both protocols positioned themselves early to bridge traditional finance with onchain markets - The approach represents a long-term conviction play rather than reactive development This strategic foresight has positioned Pyth as a foundational oracle network, now disrupting the $50 billion financial data market with **Pyth Pro**. The collaboration demonstrates how early infrastructure investments can create lasting competitive advantages in bringing institutional capital onchain.
🔮 Agentic Liquidity Engine Launches with Dual-Mode Terminal
A new terminal interface has launched featuring seamless switching between testnet and mainnet environments. The platform introduces an **Agentic Liquidity engine** powered by Pyth's oracle network. **Key Features:** - Single terminal interface - Dual-mode operation (testnet/mainnet) - Frictionless environment switching - Integration with Pyth oracle infrastructure The development follows the recent Agglayer v0.2 testnet deployment, which introduced pessimistic proofs for cross-chain security.
🥇 Gold's Hidden Complexity
**Gold pricing involves three distinct markets with three different prices**, creating complexity that most traders don't fully understand. Pyth Network has published a detailed guide explaining how institutional traders actually price gold (XAU) and why accurate pricing requires first-party data sources. **Key challenges in gold pricing:** - Multiple market structures operating simultaneously - Different pricing mechanisms across markets - Need for real-time data aggregation Pyth's oracle network addresses these challenges by sourcing data directly from institutions that trade these assets. The network currently provides price feeds for multiple precious metals including gold (XAU), silver (XAG), platinum (XPT), and palladium (XPD) across over 100 blockchains. Read the full technical breakdown: [How Gold Prices Work: A Guide to XAU Market Structure](https://www.pyth.network/blog/how-gold-prices-work-a-guide-to-xau-market-structure?utm_source=organic_social&utm_medium=x_post&utm_campaign=2602_blog&utm_term=howgoldpriceswork)
Major Exchanges Adopt Pyth's Gold Price Feed for Trading
**Pyth Network's XAU (gold) price feed has been integrated by leading crypto exchanges and protocols**, including TradeXYZ, Lighter, Dreamcash, Avantis, and FlashTrade. The feed aggregates data from institutional publishers with direct access to major gold markets: - London Bullion Market Association (LBMA) - COMEX futures exchange - Over-the-counter (OTC) markets **Technical specifications:** - Price updates every 50 milliseconds - Each submission includes a confidence interval - Available across 100+ blockchains Pyth also offers price feeds for other precious metals including silver (XAG), palladium (XPD), and platinum (XPT), bringing real-time commodities data onchain for DeFi applications.
🏦 Gold Pricing Complexity
**Gold pricing is more complex than most people realize**, and institutions trading it understand this reality. **Key points:** - A single API scraping one exchange misses the complete picture - First-party sourcing matters for accurate gold price data - Building applications that rely on gold prices requires data reflecting this complexity For developers and builders working with gold-related applications, understanding the full market structure is essential. Pyth Network provides insights into how real-world assets like gold are properly priced across multiple sources. Learn more about [how gold prices work](https://www.pyth.network/blog/how-gold-prices-work-a-guide-to-xau-market-structure?utm_source=organic_social&utm_medium=x_post&utm_campaign=2602_blog&utm_term=howgoldpriceswork).