Nasdaq extends market data distribution through Pyth Network
The exchange operator is piping its real-time pricing feeds directly into on-chain platforms, bridging a gap that crypto traders have been trying to close for years.
Nasdaq will distribute its TotalView market data through the Pyth Data Marketplace, expanding one of its flagship equity data products into blockchain networks and software based financial applications.
The agreement makes Pyth the first onchain network to distribute Nasdaq market data directly from the exchange. Developers and financial institutions will be able to access the information through a programmable interface instead of relying solely on terminals and dedicated data feeds.
TotalView provides information on every displayed order and quote at each price level for securities trading on Nasdaq, including companies listed on Nasdaq, the New York Stock Exchange and regional exchanges.
The product also includes Nasdaq’s Net Order Imbalance Indicator, which shows buy and sell imbalances before the opening and closing auctions. The data can be used to assess market liquidity, improve trade execution and develop quantitative trading models.
Pyth Data Marketplace allows institutions to distribute proprietary datasets across blockchains, applications and financial firms through a single integration. Publishers retain control over the data, attribution and commercial terms while Pyth handles distribution.
The marketplace launched in April with publishers including Tradeweb, SGX FX, OTC Markets, Exchange Data International and the United States Department of Commerce. It supports datasets spanning equities, exchange traded funds, fixed income, foreign exchange and derivatives.
The addition of Nasdaq reflects a broader shift in how exchanges distribute financial information as trading systems increasingly require data that can be read and integrated directly by software.
Mike Cahill, chief executive of Douro Labs and a contributor to Pyth, said the integration would provide a deeper view of order flow, price formation and execution conditions across modern financial applications.