Pyth Network Adds NYSE Stock Data After Nasdaq Deal
Pyth Network has added real-time stock and exchange-traded fund (ETF) data from the New York Stock Exchange to its Data Marketplace, expanding its distribution of U.S. equity market information following an earlier agreement to distribute Nasdaq data.
The blockchain-based market data provider announced on November 11, 2026, that it can now distribute NYSE Best Quote and Trades (BQT), a Level 1 data product covering all five NYSE Group equity exchanges. The addition allows financial applications, institutional trading systems and blockchain-based platforms to obtain NYSE and Nasdaq market data through the same marketplace.
Customers must license NYSE BQT directly from the exchange before accessing it through Pyth. The arrangement does not bypass NYSE’s licensing agreements, market data policies or applicable usage restrictions.
What Market Data Does the NYSE Agreement Cover?
NYSE BQT combines real-time quotes and transactions from NYSE, NYSE American, NYSE Arca, NYSE National and NYSE Texas into a single data product.
The feed provides best bid and offer prices, including available trading size, together with last-sale information, primary market closing prices and consolidated trading volume. It also includes transactions reported through the NYSE Trade Reporting Facility.
Coverage extends beyond securities primarily listed on NYSE exchanges. Stocks and ETFs listed on Nasdaq and other U.S. exchanges are included when they trade on NYSE Group venues.
The product also distributes market-status notifications, including trading halts, resumptions and short-sale restrictions. These messages are relevant to platforms offering derivatives or synthetic exposure to traditional equities, where trading in the underlying security may be interrupted.
NYSE BQT provides top-of-book information rather than complete order-book depth. It should therefore not be treated as a comprehensive record of liquidity across every U.S. equity trading venue.
Anthony Zawadzki, NYSE’s head of data and digital asset products, said the collaboration offers financial institutions and developers an additional channel for accessing exchange-originated market information.
Investor Takeaway
Exchange-sourced quotations and market-status notifications can improve transparency for platforms offering tokenized stocks and equity derivatives. However, the commercial licensing requirement means Pyth’s integration does not make proprietary NYSE data freely available to all blockchain applications.
How Does NYSE Data Support Tokenized Stocks and Equity Perpetuals?
Pyth identified tokenized equity platforms and stock perpetual futures venues as potential users of the expanded data service.
These products may trade outside conventional U.S. stock exchange hours, creating a distinction between the latest official exchange price and prices generated in continuously operating digital asset markets.
NYSE BQT supplies the exchange’s official market close, while Pyth’s proprietary indices provide continuous indicative pricing for U.S. equities. Applications can use both datasets to show how prices have moved since the underlying stock’s primary market closed.
The distinction is important because an overnight index price does not necessarily represent an executable transaction in the underlying shares. Liquidity conditions, pricing methodologies and market events can cause differences between synthetic instruments and their traditional equity references.
Trading-halt notifications provide another operational benefit. A derivatives venue receiving a halt message can incorporate that information into its pricing, risk controls or trading restrictions, although its response depends on the venue’s own systems and policies.
The agreement follows Pyth’s partnership with Blue Ocean ATS to distribute overnight U.S. equity trading data, extending its access to equity market information outside regular exchange hours.
NYSE has separately been developing a blockchain-based trading and settlement platform for tokenized securities, with plans for continuous trading and faster settlement subject to regulatory approval.
Investor Takeaway
Combining official exchange data with around-the-clock pricing could make it easier for trading venues to manage discrepancies between tokenized equity products and their underlying shares. It does not eliminate overnight liquidity risk or guarantee that synthetic products will track conventional market prices precisely.
