Nasdaq will make its TotalView market data available through Pyth Network, as the exchange operator continues its push to connect traditional equity markets with blockchain-based financial infrastructure.
TotalView shows the full order book for shares traded on Nasdaq, including buy and sell interest at different price levels. For investors, that matters because it gives a clearer view of market depth, liquidity and potential execution conditions than a simple last-traded price.
In an announcement on 30 Jun, Nasdaq said the data will be distributed through Pyth’s marketplace, which delivers financial data to blockchains, trading apps and institutions. The arrangement gives onchain developers and market participants a way to use Nasdaq equity data in automated trading systems, risk models and cross-asset products.
Data joins tokenized stocks
The move fits into a broader Nasdaq strategy. Earlier this year, the exchange partnered with crypto exchange Kraken’s parent Payward on tokenized equities infrastructure, aimed at connecting regulated stock markets with blockchain networks and supporting 24/7 trading.
Nasdaq has also worked with infrastructure provider Talos on tokenized collateral systems, giving institutions tools to manage traditional and blockchain-based assets in one risk framework.
Market infrastructure shifts
Reliable market data is one of the basic requirements for tokenized stocks to develop beyond narrow crypto venues. Investors need to know not just where a share last traded, but how much liquidity is available and at what price.
“Financial data is moving toward a model that’s more direct, programmable, and easier to integrate into the systems where trading and decision-making actually happen,” said Pyth Network’s contributor Mike Cahill in a statement.
Putting TotalView into Pyth gives blockchain-based applications a direct feed into that information. It also shows how Nasdaq is approaching crypto infrastructure by making its existing data, trading and collateral tools usable in systems that operate around the clock.
