Pyth Network Adds Live NYSE Data From Five Exchanges

Pyth Network has added real-time stock and ETF data from all five NYSE Group exchanges to its Data Marketplace, the oracle provider announced on Nov. 11. The product, NYSE Best Quote and Trades (BQT), gives financial applications a new distribution channel for exchange-sourced U.S. equity prices, with clients licensing the data directly from NYSE and receiving it through Pyth.

Pyth described itself in accompanying X posts as an approved NYSE market-data distributor, bringing first-party information from all five venues into a single product. The five exchanges are NYSE, NYSE American, NYSE Arca, NYSE National and NYSE Texas.

"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.

What does the feed actually carry?

According to NYSE's product specifications, BQT covers equities and ETFs listed on NYSE venues, Nasdaq and Cboe. The quote information includes the best available bid and offer plus the number of shares available at those prices. Pyth's posts specify top-of-book coverage, meaning the launch does not deliver the full depth of orders sitting at multiple price levels.

The feed's contents include:

• Trades, primary-market closing prices and trades reported through NYSE's Trade Reporting Facility
• Consolidated volume sourced from Securities Information Processor trade feeds
• Status messages covering trading halts, resumptions, short-sale restrictions and session states

NYSE says professional and retail users receive the same underlying information it sends to the Securities Information Processor. The exchange positions BQT as an alternative real-time quote and trade reference for display users, combining data from its five equity exchanges and available through the ICE Global Network or authorized data vendors.

How does it fit Pyth's product stack?

The NYSE distribution follows Nasdaq's entry into the marketplace earlier this year. Nasdaq began making TotalView data available through Pyth in June, providing order-book depth and information about imbalances around opening and closing auctions. Pyth's June announcement said exchange-sourced data could reach trading systems, fintech platforms, prediction markets and digital asset exchanges through a single integration.

Pyth splits its commercial offerings into three products. The Data Marketplace distributes information supplied by institutions, Pyth Pro provides market data through an institutional subscription, and Pyth Indices supplies proprietary pricing around the clock.

For venues using Pyth Pro to offer equity perpetuals or tokenized stocks, the company says NYSE BQT can display the exchange quote and last sale beside the traded instrument. Combining the primary-market closing price with Pyth Indices, it adds, lets platforms show price movement overnight and through weekends.

Where does the competition stand?

Chainlink, Pyth's chief rival in oracle-delivered market data, introduced 24/7 RWA pricing on Oct. 29 with Aave as launch partner. Aave uses the feeds for tokenized collateral within Horizon, its institutional lending platform, starting with heavily traded U.S. equities. The service combines active-session prices with an off-hours reference: when traditional markets close, Chainlink draws quotes from multiple perpetual futures venues, filters stale inputs and limits the influence of outliers. Its methodology explicitly distinguishes those derivative-market prices from a live quote on a closed stock exchange.

That product built on Chainlink's January launch of 24/5 equity data covering regular, premarket, postmarket and overnight sessions across more than 40 blockchains. Chainlink named Lighter, BitMEX, ApeX and Orderly Network among its users, with available fields including bids, offers, trading volumes and stale-price indicators.

Is stock-token lending already using oracle valuations?

On Base, Morpho opened five stock-token markets in September for Coinbase-issued Apple, Alphabet, Nvidia, Meta and SpaceX tokens, valuing collateral through a Chainlink V2 oracle adapter. At the Sept. 18 snapshot, users had deposited $104,401 in stock tokens and borrowed $54,652 in USDC. Steakhouse Financial curated the markets and set collateral parameters, with liquidation loan-to-value thresholds of 62.5% for four tokens and 77% for Alphabet. Morpho said geographic compliance controls operate through the tokens and their issuers, and the markets were unavailable to U.S. persons and investors in other restricted jurisdictions.

With both NYSE and Nasdaq data now flowing through Pyth, and Chainlink pushing into around-the-clock RWA pricing, oracle-delivered equity data is fast becoming standard infrastructure for tokenized-stock and perpetual venues.