In the world of decentralized finance (DeFi), speed and accuracy are always critical factors. However, @Pyth Network is not just about becoming a "fast and accurate" oracle, but is shaping itself as a global data network, with the ability to scale deeply across multiple asset types. This development towards a multi-layered and multi-asset approach has transformed #PYTH from a project focused on providing crypto price data into a real-time data layer for the entire financial market.

1. Crypto – The foundational platform reinforced

Pyth started by providing price data for crypto assets. Currently, this network has up to 1,551 active price feeds, covering major coins, long-tail tokens, and cross-chain data.

As a result, #Pyth has become a core part of the infrastructure of many DeFi protocols, especially in the fields of derivatives, lending, and liquidation mechanisms, with a total protected value (TVS) exceeding 5.31 billion USD. This is the “springboard” for Pyth's expansion into other asset areas.

2. Foreign exchange & Commodities – An essential demand of the global market

Foreign exchange (FX) and commodities have long been pillars of traditional finance. Cross-border transactions, stablecoins, and international payments all require accurate and real-time exchange rate data.
Pyth has expanded to USD, EUR, JPY along with many major currency pairs, while also supplementing price data for gold and crude oil – global assets. This is not only useful data for the crypto market but also directly valuable to RWA (Real World Assets) and cross-border payment infrastructure.

3. Stocks & ETFs – The gateway to traditional finance

In the 2024–2025 period, Pyth officially integrates U.S. stock and ETF data, including stocks in the S&P 500 index and some popular index funds.
For synthetic assets and tokenized securities, this is an infrastructural advancement. Not only serving the crypto market, stock and ETF data also helps Pyth connect directly with traditional financial institutions, opening up channels to Wall Street and the global stock market.

4. Macroeconomic indicators – For the first time, national data on the blockchain

In 2025, the U.S. Department of Commerce announced the integration of GDP data onto the blockchain, with distribution participation from both Pyth Network and Chainlink. This is a historical milestone, marking the first time national macroeconomic data is distributed in a decentralized manner.

In the future, if CPI, unemployment rates, and inflation data continue to be on-chain, Pyth will become the distribution layer for national financial data, holding significance far beyond DeFi, approaching the fields of public policy and macroeconomic research.

5. The logic of depth strategy

Expanding multi-asset is not just about “adding more price streams,” but actually expanding the growth ceiling of Pyth. This strategy can be summarized as follows:

  • Crypto → Serving DeFi, derivatives, and lending.

  • Foreign exchange & Commodities → Serving cross-border payments, stablecoins, and international clearing.

  • Stocks & ETFs → Serving tokenized securities, paving the way for financial institutions to participate.

  • Macroeconomic indicators → Serving the government, regulatory agencies, and economic researchers.

Conclusion

With a multi-layer expansion strategy, Pyth is transforming from a data infrastructure for crypto to a global market data interface. Technology ensures performance and accuracy, while the expanding asset coverage helps Pyth enter many new trade scenarios.

When the institutional subscription data service model is implemented, Pyth may complete the leap from decentralized finance to global financial data infrastructure, becoming one of the most important data networks of the Web3 era. $PYTH