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Bitget has integrated with the official Nasdaq data source, becoming the first cryptocurrency platform in the industry to adopt this standard

According to official news from Bitget, Bitget has completed a comprehensive upgrade of its U.S. stock product market data source, officially connecting to the Nasdaq official data source, becoming the first cryptocurrency trading platform in the industry to adopt this data standard. Compared to the previous data model, Nasdaq official data can provide users with more accurate and timely market data, and maintain better price stability and continuity during periods of significant market fluctuations.To further ensure data quality, after connecting to the official data, Bitget has established a multi-layered assurance mechanism based on the official metadata, including data processing, real-time monitoring, quality comparison, simulation validation, and anomaly data filtering. Nasdaq, as a core data service provider long adopted by global financial markets, has had its data standards validated over many years in the traditional financial sector.This upgrade also marks a further deepening of Bitget's global asset trading infrastructure development. As the trading categories gradually expand from digital assets to global assets such as U.S. stocks, the platform will continue to enhance its underlying data, liquidity, and risk management capabilities, and introduce more mature institutional-level market standards to provide individual investors and institutional clients with a more stable and efficient cross-market trading experience, continuously enhancing the comprehensive competitiveness of its Universal Exchange (UEX).

Vice Governor of the Central Bank Lu Lei: The boundaries of responsibility for intelligent payment systems cannot be ambiguous, and a self-discipline convention will be released

According to Mobile Payment Network, Lu Lei, a member of the Party Committee and Vice President of the People's Bank of China, stated at the 15th China Payment Clearing Forum that intelligent agent payments must not blur the boundaries of responsibility between consumers, operating institutions, and algorithm systems. Lu Lei believes that the essence of payment is the transfer of fund ownership, which objectively requires that the results of transactions are predictable, responsibilities are definable, and traces are traceable. Large models and autonomous intelligent agents have characteristics such as output randomness and insufficient transparency of logic. If transaction decision-making authority is blindly or excessively granted to intelligent agents, it will affect the trust foundation of fund transactions. The current governance rules of the payment industry and dispute resolution mechanisms are built around "humans as the final decision-makers in transactions." The new model of intelligent agents automatically initiating and assisting in transactions easily blurs the boundaries of responsibility, and the existing governance rules need to be optimized and improved.Regarding the issue of insufficient compatibility of protocol standards in the field of intelligent agent payments, Lu Lei emphasized that the dispute over protocols is essentially a dispute over business rules and technical standards, as well as a struggle for dominance in the era of artificial intelligence. The People's Bank of China continues to strengthen its tracking research on technological innovation, especially intelligent agent payments, guiding the Payment Clearing Association to leverage its advantages in industry self-regulation. Based on extensive soliciting of opinions, they will formulate and publish the "Self-Regulatory Convention for Intelligent Agent Payment Applications," and will continue to work on coordinating protocols and standards, as well as innovating risk governance. Lu Lei proposed three hopes to market institutions: actively respond to and implement the industry self-regulatory convention, with payment security and risk prevention as the bottom line, and consumer rights protection as the focal point; continuously track the trends of cutting-edge technologies such as large models and intelligent agents both domestically and internationally, and build technical reserves and application capabilities; adhere to the principle of rules and standards first, strengthen coordination and compatibility among different protocols and standards, and cooperate with regulatory authorities to promote the construction of a foundational protocol and technical standard system for intelligent agent payments.
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