News linked to both this project and an event.
oracle network Pyth Network has released its Q3 business report, stating that as of the end of September, its active annual recurring revenue (ARR) reached $11.49 million, up 86.5% from the previous quarter, with net new ARR of $5.33 million in Q3.On the exchange side, the trading volume of real-world asset (RWA) perpetual contract markets powered by Pyth data reached $2.09 trillion in Q3, accounting for 94.1% of the total volume in related markets. In prediction markets, Pyth has provided data support for platforms such as Kalshi and Polymarket. Among them, Kalshi listed Pyth as the data source provider for its gold and silver perpetual contract markets in relevant regulatory filings. In the AI sector, Pyth is testing financial data infrastructure for AI agents with Exa, providing real-time prices, historical data, and candlestick data to enable AI systems to incorporate market information into analysis and decision-making.Additionally, Pyth DAO approved the "100% Rule," under which all future revenue the DAO receives from Pyth products will be used for open market buybacks of PYTH tokens. Compared to the previous practice of using only one-third of non-PYTH asset balances for buybacks, the allocation ratio has been increased threefold.
Odaily News - Hyperliquid Policy Center announced that it has recently submitted a joint comment letter with Douro Labs to the U.S. Securities and Exchange Commission (SEC), supporting the SEC's proposal to rescind Rule 611 of Regulation NMS (the "Trade-Through Rule") and calling on regulators to establish a clearer Best Execution regulatory framework for on-chain markets.The Hyperliquid Policy Center believes that the current Trade-Through Rule is built on traditional securities market structures and is clearly incompatible with blockchain-native trading models. HPC and Douro Labs put forward three recommendations in their joint comment letter:First, they support the SEC in rescinding the Trade-Through Rule. The two companies argue that this rule relies on a traditional quote system that cannot accurately reflect the on-chain trading environment, and its continued application could hinder the development of on-chain financial markets.Second, the SEC should establish clear best execution guidance for on-chain trading. On-chain markets feature new factors that do not exist in traditional markets, such as quote-less trading, 24/7 operation, blockchain network fees, and MEV (Maximal Extractable Value). Brokers need clearer regulatory standards to ensure they can execute trades on behalf of clients.Third, the regulatory framework should be principles-based and recognize independent price reference mechanisms. HPC and Douro Labs suggest that when the traditional NBBO cannot cover on-chain markets, the SEC should recognize independent price reference data formed through transparent, manipulation-resistant mechanisms. For example, the Pyth Network, which Douro Labs helped build, provides price oracle services for on-chain markets by aggregating real-time data supplied by exchanges and market participants.