Fixed income sits at the foundation of global finance. It shapes capital formation, monetary policy transmission, collateral management, risk models, portfolio valuation, and the pricing of downstream financial products.
Yet for many modern applications, fixed income data remains difficult to access in the way today’s financial systems increasingly require: direct, programmable, and available through modern delivery infrastructure.
That is beginning to change.
Fenics Market Data (BGC Group’s data distribution arm), OpenYield (the automated bond marketplace), and Tradeweb Markets Inc. (a leading electronic marketplace in fixed income) are joining the Pyth Network as data providers.
Together, they bring institutional fixed income pricing to Pyth Pro and the Pyth Data Marketplace, sourced directly from institutions close to price formation and accessible through a single integration.
This is an important expansion for Pyth: fixed income data spanning:
Dealer-to-dealer OTC markets
Automated electronic trading
Benchmark government bond closing prices
Fenics Market Data is the exclusive data distribution arm of BGC Group, one of the world’s largest interdealer brokers. Its business represents data from more than $1 trillion in daily OTC transaction volume across rates, credit, FX, commodities, and energy.
By publishing through Pyth, Fenics brings executable pricing from institutional trading activity into the network making one of the largest pools of dealer-to-dealer fixed income data accessible through a single integration.
OpenYield operates an automated bond marketplace built to bring equity-like efficiency to fixed income. As an SEC-registered Alternative Trading System, OpenYield delivers firm, executable quotes across US Treasuries, corporates, and municipals.
By publishing through Pyth, OpenYield brings real-time, firm Treasury pricing derived from its orderbook into the network strengthening Pyth’s US Treasury coverage while extending deeper into corporate and municipal markets.
Tradeweb operates one of the world’s leading electronic marketplaces for fixed income, connecting institutional clients across government bonds, credit, and rates products. Its fixed income pricing drawn from live electronic trading across its platforms is now distributed through Pyth.
Tradeweb is also extending distribution of its licensed Tradeweb FTSE Benchmark Closing Prices through Pyth. These benchmark end-of-day closing prices cover UK Gilts, US Treasuries, and European government bonds. They are calculated by Tradeweb from executable bid and offer quotes on its electronic platform and administered by FTSE Russell, the registered benchmark administrator.
These prices are used in the FTSE World Government Bond Index and relied on by institutions for portfolio valuation, trade-at-close execution, and as reference rates for derivative contracts.
Pyth Network 🔮@PythNetwork
Fixed income data is live on Pyth 🌐 Three of the leading institutional sources of bond pricing. Fenics Market Data, OpenYield, and Tradeweb. All on Pyth 🧵
2:01 PM · Jul 15, 2026 · 3.3K Views
5 Replies · 6 Reposts · 26 Likes
Fixed income pricing is not just another dataset. It is one of the core inputs behind global financial markets.
Bringing these datasets into Pyth means applications, trading venues, risk systems, and financial firms can reach institutional fixed income pricing through the same infrastructure that already distributes equities, futures, FX, crypto, and commodities.
The implication goes beyond coverage expansion it points to a shift in how financial data is distributed.
Legacy vendor networks, closed terminals, and opaque redistribution models were built for a market defined by slower clocks, bilateral relationships, and human-first workflows. Modern markets are moving differently: financial data now flows directly into applications, automated systems, trading venues, onchain infrastructure, and real-time risk models.
Fixed income pricing underpins global financial markets. Making it available through the same infrastructure that already distributes equities, futures, FX, crypto, and commodities is a structural step toward a unified, modern market data standard.
Three leading fixed income data sources are joining Pyth today, and more institutional firms across banking, brokerage, and market infrastructure are preparing to join.
What began as infrastructure for decentralized markets is becoming a distribution layer for institutional finance.
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