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2026年06月30日

Nasdaq's Order Book Goes On-Chain — What the Pyth Partnership Signals About the Tectonic Shift in Institutional Data Distribution

ナスダックの「板情報」がブロックチェーンに載る日──Pyth提携が示す機関投資家級データ流通の地殻変動

The Deal: Professional-Grade "TotalView" Order Book Data, Delivered On-Chain

The product in scope, Nasdaq TotalView, is a full depth-of-book data feed displaying all buy and sell orders at every price level — covering not only Nasdaq-listed securities but also NYSE- and regional-exchange-listed stocks. It also includes real-time indicators of order imbalances before the opening and closing auctions, making it a standard tool for professional traders who need a granular view of market liquidity.

Distributed through the "Pyth Data Marketplace," this data becomes accessible to developers and institutional investors via a single system integration — no expensive terminal contracts or dedicated data feeds required. It can be embedded directly into on-chain protocols, trading bots, analytics dashboards, and DeFi applications.

What Is Pyth? From Oracle to Distribution Layer for Institutional Data

Pyth Network has been known as an oracle network supplying price data for crypto and other assets to blockchains. In recent years, however, it has expanded into a "data marketplace" through which traditional finance data owners can distribute and monetize proprietary datasets.

Ahead of Nasdaq, the marketplace already counts Euronext, OTC Markets, bond-trading platform Tradeweb, prediction market Kalshi, SGX FX, Exchange Data International, and the U.S. Department of Commerce as publishers. A single platform now aggregates datasets spanning government statistics, equities, bonds, and FX. Mike Cahill, CEO of Douro Labs, a contributor to Pyth's development, said in a statement that a household-name exchange like Nasdaq choosing its distribution destination signals where institutional data is headed.

Why Nasdaq Moved: Groundwork for Tokenized Markets

For Nasdaq, the partnership does not alter its existing data licensing model or trading operations — it is positioned as an expansion of distribution channels. But the backdrop is structural: financial infrastructure is migrating from trading terminals and dedicated feeds toward cloud-based software and blockchain-powered applications.

Nasdaq obtained SEC approval for tokenized equity trading in March 2026, and this data distribution move reads as part of a sequence making its infrastructure compatible with tokenized assets and on-chain financial services. With NYSE parent ICE forming a joint venture with OKX, major U.S. exchange groups are racing to connect to on-chain markets — a competition in which whoever controls the data controls the next generation of market infrastructure.

Caveats: Latency and the Division of Use Cases

Technical limits remain. Blockchain-based delivery introduces latency relative to direct feeds, making it unsuitable for high-frequency trading that competes in milliseconds; for now, the primary use cases will be quantitative model development and latency-tolerant execution and analytics. Even so, enabling DeFi protocols, prediction markets, and hybrid TradFi-DeFi platforms to embed verifiable, exchange-sourced primary data is significant. The tests ahead: whether other major exchanges follow, and whether DeFi actually deploys this data in production systems.

[Business Development Insights]

  1. The distribution structure of financial data is shifting from "terminals and dedicated lines" to "one integration." Institutional-grade data that once required costly terminal contracts becoming available through a single API integration dramatically lowers entry costs for fintech and Web3 startups. The field for building analytics, execution, and risk-management products on top of primary exchange data is opening to players without deep capital.
  2. Oracles are evolving from price-reference infrastructure into monetization channels for data owners. Nasdaq's participation — following the U.S. Department of Commerce and Tradeweb — shows that on-chain distribution can become a new data sales channel for any organization holding proprietary data: exchanges, information vendors, and operating companies alike. Japanese firms should now be evaluating on-chain monetization of their own data assets as a live option.
  3. Data distribution is a leading indicator of exchange groups' tokenized-market strategies. Viewed alongside Nasdaq's tokenized equity approval and the ICE–OKX joint venture, major exchanges are pursuing a staged strategy: connect to the on-chain world first through data, then advance to trading and settlement. When selecting partners or making market-infrastructure investments, exchanges' data-distribution alliances should be watched as early signals.

[Sources]

Supervisor

Akihisa Ishida

Cabinet Inc. Founder CEO

Since 2017, He has been consistently engaged in token and NFT utilization, blockchain game planning and development, and NFT-based business development. Having contributed to over 80 blockchain products—including projects for major entertainment companies listed in Tokyo Stock Exchange —He has served in various key roles such as Business Lead, Designer, PM, and Advisor. In 2021, founded Cabinet Inc.

Disclaimer

This report has been prepared solely for informational purposes regarding crypto assets and related markets, and is not intended to recommend, solicit, or offer the purchase, sale, holding, or any other transaction of any specific crypto asset. It does not constitute investment advice, investment solicitation, or the sale or intermediation of financial products as defined under the Financial Instruments and Exchange Act or any other applicable laws and regulations, nor does it constitute tax, legal, or accounting advice.

The information contained in this report is based on sources believed to be reliable at the time of preparation; however, we make no representation or warranty, express or implied, as to its accuracy, completeness, timeliness, or usefulness. Crypto assets are subject to significant price volatility and may result in the loss of principal or other financial losses. Any investment decision shall be made solely at the user's own discretion and responsibility, and we accept no liability whatsoever for any damages arising out of or in connection with the use of this report.

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