Pyth Network Addition of real-time stock data from the New York Stock Exchange, tokenized trading expansion drives demand
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Pyth Network has added real-time stock data from five American stock exchanges on the New York Stock Exchange and ETF data, expanding its institutional market data business. The company stated that this arrangement allows developers to access data from NASDAQ and the New York Stock Exchange through a single channel, and tokenized stock platforms also gain pricing references from traditional exchanges as a result.
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Pyth Network ( PYTH ) has added real-time stock data from the New York Stock Exchange and ETF data to its market data platform. As more blockchain platforms offer tokenized securities and 24/7 trading, this move expands its institutional market data business.

An announcement on November 11th revealed that Pyth has become an authorized distributor for NYSE Best Quote, and, Trades, and BQT, covering five major U.S. stock exchanges. This expansion follows Pyth's earlier integration with NASDAQ, enabling developers to access data products from two major U.S. exchange groups through a single distribution channel.

According to the official announcement of Pyth, this protocol covers exchange quotes, transactions, closing prices, and transaction status information. However, customers must obtain data permission directly from NYSE.

Pyth Adding NYSE data from five US stock exchanges

This new service covers NYSE, NYSE American, NYSE Arca, NYSE National, and NYSE Texas, providing a comprehensive real-time source for US stock information.

NYSE BQT includes the best buy and sell quotes, available order volume, latest trades, closing prices, as well as consolidated trading volumes. It also distributes alerts regarding trading halts, resumption of trading, and short selling restrictions.

This integration is an further expansion of its access to mature financial market infrastructure, following Pyth's approval as an external distributor for NASDAQ Basic in October.

For the application of tokenizing tradable stocks, these data streams provide direct reference prices from traditional exchanges, rather than relying solely on alternative price estimations.

As the tokenization of Kraken's shares expands to bring blockchain-based exposure to all 40 companies within the DAX index in Germany, this capability becomes increasingly important.

However, NYSE BQT only provides Level market information and does not include the full depth of the order book. The distribution through Pyth does not imply that licensed exchange data can be obtained for free.

Tokenized stock trading drives the demand for reliable data

The expansion of Pyth occurred after the rapid growth of blockchain-based stock trading.

On November 2nd, the trading volume of tokenized stocks on Solana was approximately 657 million US dollars, of which Backpack Securities contributed 598 million US dollars, accounting for 91% of the reported activity.

This level of concentration not only demonstrates the potential scale of the blockchain stock market but also indicates that it relies on a relatively small number of large platforms.

Meanwhile, the tokenization plan for NYSE includes a proposed trading venue that supports 24/7 securities trading and on-chain settlement, but regulatory approval is required.

Even when traditional exchanges are closed, such markets still need reliable reference prices.

Pyth addresses this issue through different products. NYSE BQT provides official trading session information, while Pyth Indices offers independently calculated stock prices outside of traditional trading hours.

This distinction is very important, because the overnight estimated price is not equivalent to the executable transaction price available on NYSE.

What does the integration of NYSE mean for PYTH?

This agreement enhances the position of Pyth in the competitive market for financial data infrastructure.

Chainlink is also being applied in expanding institutions, including the most recent Swift tokenization project, which demonstrated automated dividend processing across multiple blockchains.

At the same time, the tokenization strategy of Bullish indicates that the regulated securities infrastructure is extending towards Solana, Ethereum, and Aptos.

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