Pyth Network integrates NYSE data for on-chain finance
The Pyth Network has integrated real-time stock and exchange-traded fund (ETF) data from the New York Stock Exchange (NYSE), a major step in bridging traditional financial markets with blockchain applications. Announced on November 11, 2026, the collaboration makes Pyth an approved distributor for NYSE data, channeling prices from five of its exchanges directly to developers and decentralized applications (dApps).
This move allows on-chain protocols to access high-fidelity, exchange-sourced U.S. equity prices, a critical component for building sophisticated financial products. “Our collaboration with Pyth gives builders and institutions a new way to access NYSE data,” said Anthony Zawadzki, NYSE’s Head of Data and Digital Asset Products. The integration is seen as a key piece of infrastructure for the growing market of tokenized securities and derivatives.
What the Pyth Network NYSE data feed includes
The specific product being distributed is the NYSE Best Quote and Trades (BQT). This feed consolidates data from five distinct NYSE Group equity markets: the main NYSE, NYSE American, NYSE Arca, NYSE National, and NYSE Texas. It provides a comprehensive view of top-of-book prices for a wide range of securities.
This includes equities and ETFs listed on NYSE’s own venues as well as those listed on competing exchanges like Nasdaq and Cboe if they are traded on an NYSE Group exchange. The data feed delivers the best available bid and offer prices along with the number of shares available at those prices, providing crucial liquidity insights.
Beyond quotes, the BQT feed contains official trade prices, primary-market closing prices, and consolidated trading volume sourced from the Securities Information Processor. It also broadcasts vital market-status messages, including alerts for trading halts, resumptions of trading, and short-sale restrictions, giving on-chain applications the same signals available to traditional traders.
However, users wanting to access this information must first obtain a license directly from the NYSE. Pyth acts as the distribution channel, but access remains governed by the exchange’s own market data policies and agreements. This ensures compliance and maintains the integrity of the data.
A growing marketplace for institutional data
This NYSE partnership follows a similar move earlier in the year to bring Nasdaq data onto the Pyth Network. In September 2026, Pyth received approval to distribute Nasdaq Basic, and it began offering Nasdaq TotalView data in June. This allows developers to access data from both of the dominant U.S. stock exchanges through a single integration point.
The dual integrations solidify the Pyth Data Marketplace as a significant hub for institutional-grade financial information. Launched in April 2026, the marketplace was founded with data providers like Euronext FX, Fidelity Investments, and OTC Markets Group, signaling a clear strategy to attract established financial players into the blockchain ecosystem.
The network has seen substantial growth since its inception. It now features over 135 data publishers providing more than 3,200 live price feeds to over 720 data consumers across more than 100 blockchains. This vast network has already secured over $3 trillion in transaction volume, a testament to its wide adoption in DeFi.
The inclusion of more traditional assets could also impact markets for instruments like Bitcoin ETFs by enabling more complex cross-asset products.
Pyth’s annualized paid subscription run rate (ARR) has also climbed, rising 18.9% month-over-month to an estimated $13.67 million as of October 2026. This financial growth underscores the increasing demand from applications willing to pay for reliable, low-latency data.
New use cases for on-chain developers
For developers, the NYSE data opens up a range of possibilities, particularly for platforms that use the Pyth Pro subscription service. Venues offering perpetual futures on equities or dealing in tokenized stocks can now display the official exchange quote and last sale price directly alongside their own traded instruments, enhancing transparency and user trust.
The integration also works hand-in-hand with Pyth Indices, which provide proprietary pricing for U.S. equities around the clock. While the NYSE BQT feed supplies the official market close, Pyth Indices can continue to price assets overnight and through weekends. This combination allows applications to show how a stock’s value is moving even when traditional markets are closed.
This announcement is part of a broader expansion for Pyth. On October 29, 2026, the network launched live U.S. Treasury yield feeds for seven different maturities, updating every 200 milliseconds. Just a few days ago, on November 8, it broadened its coverage of U.S. equities, global indices, and even agricultural commodities like cotton futures.
This rapid expansion of asset classes shows a clear ambition to become the primary data backbone for all types of on-chain finance, not just crypto-native assets. The focus is on providing institutional-quality data with real-time updates, including through its Pyth Lazer service which offers millisecond updates.
The competitive landscape for oracle data
Pyth Network operates in a competitive space, with Chainlink being its most prominent rival. Chainlink has also been aggressively pursuing the real-world asset (RWA) market. On October 29, it launched its own 24/7 RWA pricing service, naming the institutional lending platform Aave Horizon as its launch partner for tokenized equity collateral.
The two oracles employ different methodologies for off-hours pricing. When stock exchanges are closed, Chainlink’s service references prices from multiple perpetual futures venues, using filters to remove stale inputs and limit the influence of outliers. Pyth, by contrast, uses its proprietary Pyth Indices to model prices after hours.
This competition is ultimately beneficial for the DeFi space, as it pushes oracle providers to offer more robust and comprehensive data solutions. Chainlink’s services are already being used in live markets, such as the stock-token lending markets on Base launched by Morpho in September, which value collateral from Coinbase-issued tokens for Apple, Nvidia, and others.
Why high-fidelity data is critical for on-chain finance
The tokenization of real-world assets is one of the most anticipated growth areas in crypto, but its success depends entirely on the quality of the underlying data. Without reliable, tamper-proof, and low-latency price feeds, on-chain versions of stocks, bonds, and commodities cannot function safely. This is where oracle networks play their most critical role.
Pyth’s focus on sourcing data directly from first-party institutions like the NYSE is its core value proposition. By getting information straight from the source, it aims to reduce the risk of manipulation or inaccuracies that can arise from aggregating data from less reliable secondary sources. The numbers show this strategy is working.
In the third quarter of 2026, markets using Pyth data accounted for approximately $2.04 trillion of real-world-asset perpetual futures volume. This figure represents an astonishing 94.4% of all RWA perpetuals volume tracked, demonstrating Pyth’s dominant position in this specific but rapidly growing niche.
Ultimately, collaborations like the one between Pyth and NYSE are foundational. They build the necessary infrastructure for a future where financial markets are more integrated, transparent, and operate on-chain. As Zawadzki noted, “As financial markets increasingly move onchain, the quality and integrity of the underlying data matter more than ever.”