Pyth Network Launches Price Feeds for 12 Tokenized Stocks

The financial industry is undergoing a fundamental transformation that hinges on **improved data quality and accessibility**. Traditional financial systems are being challenged by the need for more transparent, real-time, and reliable data sources. This shift represents a critical foundation for the next generation of global finance. Key developments include: - Growing demand for better data in internet capital markets - Recognition that data infrastructure is the cornerstone of financial innovation - Movement toward more sophisticated oracle networks and data providers The emphasis on data quality suggests that **financial institutions and technology providers are prioritizing infrastructure over flashy applications**. This foundational approach could lead to more stable and trustworthy financial systems. As the industry matures, the focus on robust data architecture indicates a shift from experimental phases to building sustainable, scalable financial infrastructure.

**Pyth Pro** launches as a comprehensive solution to the broken $50B market data industry. The traditional market data system suffers from: - Fragmented access and uneven pricing - Regional monopolies limiting innovation - Institutions paying more for less coverage **Key Features:** - Single subscription for **2,000+ real-time price feeds** - Coverage across all major asset classes - Direct access from 125+ leading trading firms and exchanges - Sub-100ms latency with 1.4 bps accuracy **Three-tier structure** adapts to different institutional needs, from DeFi protocols to traditional finance firms. Jump Trading Group joins the early access program, highlighting institutional demand for transparent, source-direct market data. [Request early access](https://tally.so/r/3xG8E5?utm_source=organic_social&utm_medium=x_post&utm_campaign=2510_post&utm_term=pythproevergreen)

**Perpetual DEX competition** heats up as industry experts prepare for battle. - Live discussion featuring @Tristan0x from @bulletxyz_ - **Tomorrow at 10AM UTC** on X and YouTube - Focus on the competitive landscape of perpetual derivatives exchanges The session will likely cover market dynamics, trading features, and strategic positioning among leading perp DEX platforms. *Tune in to catch the latest developments in decentralized derivatives trading.*

**Pyth Network has launched 42 U.S. macroeconomic data points** across more than 100 blockchain networks, making critical economic indicators accessible onchain for the first time. **Key economic data now available includes:** - Gross Domestic Product (GDP) - Consumer Price Index (CPI) - Producer Price Index (PPI) - Other major economic indicators This represents a significant expansion from the 23 GDP data points previously available. The data is accessible **permissionlessly**, meaning any developer or protocol can integrate these feeds without requiring approval. **Why this matters:** Traditional financial markets rely heavily on these economic indicators for decision-making. By bringing this data onchain, Pyth enables decentralized applications to build more sophisticated financial products that can react to real-world economic conditions. The oracle network positions itself as providing "the price of everything, everywhere" - extending beyond typical crypto price feeds to include traditional economic metrics. [View the complete list of economic data feeds](https://insights.pyth.network/price-feeds?assetClass=ECO)

**CASH**, Phantom's fully backed stablecoin issued by Bridge, has launched its price feed across **100+ blockchains** through the Pyth Network. The open-loop stablecoin is already being utilized by early adopters including: - **Loopscale Labs** - **Kamino** Developers interested in integrating CASH can access the feed and documentation at [Pyth's price feed portal](https://insights.pyth.network/price-feeds/Crypto.CASH%2FUSD). This expansion significantly increases CASH's accessibility across the multi-chain ecosystem, providing builders with reliable price data for their applications.