Pyth Network 🔮 (@PythNetwork): Why Asian Equities Need a Modern Market Data Layer

Why Asian Equities Need a Modern Market Data Layer Asian equity markets are becoming more important to global finance, but the infrastructure around them is still fragmented. Japan, Hong Kong, South Korea, Mainland China, and India represent some of the most actively watched equity markets in the world. They include global technology companies, semiconductor leaders, banks, consumer platforms, ETFs, and regional indices that increasingly matter to traders, exchanges, prediction markets, and financial applications outside their home markets. The challenge is access. Building around Asian equities often still means stitching together market-by-market coverage, different trading sessions, uneven data availability, and fragmented vendor relationships. That model was built for a slower version of finance, and it’s increasingly out of step with how products get built today. Modern markets are different. Applications are global from day one. Prediction markets run continuously. Perpetual venues need reliable reference prices during market hours, and coherent pricing models outside them. Teams building risk systems, analytics, and AI agents need machine-readable market data without manual sourcing workflows. That is why Pyth Pro is expanding Asian equity coverage, starting with Hong Kong, Mainland China, and South Korea, with more markets rolling out. The goal is simple: make regional equity data available through one real-time market data layer and one integration. For builders, this means Asian equities become easier to integrate into trading products, risk systems, prediction markets, and financial applications, without standing up separate regional vendor relationships. For the broader market, it points to a larger shift: equity data is moving from closed, regional distribution paths into programmable infrastructure. Pyth Pro: A new Asian Equities package is now live. Pyth Pro has released a dedicated Asian Equities package covering Hong Kong, Mainland China, South Korea, and Japan, with 100+ feeds live today and coverage expanding toward 450+. The package includes names such as Samsung Electronics, SK Hynix, Toyota, Sony, Nintendo, SoftBank, Tencent, BYD, Cambricon, GigaDevice, and CXMT, delivered through the same integration already used for US equities, FX, commodities, fixed income, crypto, and Pyth Indices. Explore Pyth Pro and access real-time market data across global asset classes.