证券市场异常交易行为智能监测发现技术及应用示范
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深交所科技赋能紧盯异常交易
Shen Zhen Shang Bao· 2025-12-02 02:08
Core Insights - The Shenzhen Stock Exchange (SZSE) hosted the 2025 Greater Bay Area Exchange Technology Conference, focusing on the theme "Towards the Era of Artificial Intelligence" [1] - Eight technological achievements were announced, with two from SZSE and six from various securities and fund companies [1] Group 1: Technological Achievements - SZSE's key achievement is the "Intelligent Monitoring and Detection Technology for Abnormal Trading Behavior," which aims to enhance market regulation through intelligent and precise methods [1][2] - This technology utilizes artificial intelligence to analyze investor trading behaviors, improving the detection of insider trading by identifying similarities and hidden correlations between accounts [2] - The integration of AI and big data has led to the development of a new regulatory model characterized by "intelligent monitoring, precise identification, scientific assessment, and proactive prevention" [2] Group 2: Industry Collaboration and Applications - SZSE collaborated with Huawei to create the first industry-specific large model, addressing challenges in regulatory Q&A regarding timeliness, accuracy, and completeness [2] - Other technological achievements presented by firms such as CITIC Securities and China International Capital Corporation include applications of big model technology for risk control and compliance [2] - The year 2025 is referred to as the "Year of AI Agents," indicating a significant shift in the financial industry towards embracing AI technologies and overcoming challenges such as data governance and computational power limitations [3]
大湾区交易所科技大会召开
Jin Rong Shi Bao· 2025-12-02 02:01
Core Viewpoint - The 2025 Greater Bay Area Exchange Technology Conference emphasizes the transition to an "AI agent era," highlighting the evolution of artificial intelligence from passive response to proactive execution in various industries, particularly in finance [1] Group 1: Industry Trends - The financial industry is accelerating the adoption of artificial intelligence, driven by technological, industrial, policy, and business demand [1] - Challenges such as data governance, AI hallucination, computational power limitations, and insufficient domain knowledge are being addressed as the industry moves towards digital transformation [1] Group 2: Technological Achievements - Eight technological achievements were announced at the conference, showcasing significant advancements in AI applications within the capital markets [2] - Notable projects include the Shenzhen Stock Exchange's "Intelligent Monitoring of Abnormal Trading Behavior" and CITIC Securities' "Full-Chain Risk Control and Compliance Exploration" based on large model technology [2] - The overall impact of AI in capital markets is evident in cost reduction, efficiency enhancement, value creation, compliance risk control, and market governance [2]
视频|聚焦“人工智能+资本市场” 2025年大湾区交易所科技大会召开 8项行业科技成果亮相
Xin Lang Zheng Quan· 2025-11-29 06:41
Group 1 - The 2025 Greater Bay Area Exchange Technology Conference will be held on November 28-29, focusing on the theme "Towards the Era of Artificial Intelligence+" [1] - Key attendees include leaders from Shenzhen Stock Exchange, Hong Kong Stock Exchange, and Guangxi Futures Exchange, along with representatives from regulatory bodies, financial institutions, technology companies, and academic institutions [1] - Eight technological achievements were announced at the conference, including intelligent monitoring technology for abnormal trading behavior and a regulatory model from Shenzhen Stock Exchange, with contributions from major industry players like CITIC Securities and CICC [1] Group 2 - The Chief Engineer of Shenzhen Stock Exchange, Yu Huali, emphasized the commitment to implementing the spirit of the 20th Central Committee's Fourth Plenary Session, focusing on risk prevention, strong regulation, and promoting high-quality development [2] - The goal is to create a safe, efficient, and intelligent digital exchange to inject new momentum into the healthy and high-quality development of the capital market [2]
深交所总工程师喻华丽:围绕六大领域落实“AI+”战略
Di Yi Cai Jing Zi Xun· 2025-11-29 02:09
Core Insights - The Shenzhen Stock Exchange (SZSE) is focusing on integrating "Artificial Intelligence +" into its core business areas during the 14th Five-Year Plan period, with a clear path outlined for its implementation [1][7]. Group 1: AI Integration and Regulatory Framework - SZSE aims to build an intelligent regulatory system covering risk monitoring, trading risks, and company supervision through "AI+" [1]. - The exchange plans to enhance service quality for investors and listed companies using intelligent tools [1]. Group 2: Digital Infrastructure and Platform Development - During the 14th Five-Year Plan, SZSE has targeted the creation of an internationally leading digital system, focusing on four pillars: digital infrastructure, digital platforms, digital capabilities, and digital ecosystems [3]. - The exchange has developed a hybrid cloud system centered around Group Cloud, Regulatory Cloud, Shenzhen Cloud, and Public Cloud, aiming to provide high-standard cloud infrastructure services [3]. Group 3: Collaborative Ecosystem and Innovation - SZSE is strengthening collaboration with industry institutions through various platforms, including financial technology centers and data security laboratories, to build an efficient industry innovation ecosystem [4]. - The exchange has implemented a closed-loop innovation approach, emphasizing regulatory technology needs and addressing actual business pain points [6]. Group 4: Future Directions and Strategic Goals - Looking ahead to the 15th Five-Year Plan, SZSE will focus on six key areas: building intelligent computing infrastructure, implementing cloud applications, deepening AI integration, enhancing application architecture, advancing intelligent innovation research, and strengthening governance [7]. - The exchange aims to create a world-class trading platform supported by robust digital and intelligent frameworks through systematic advancement in these six areas [7].
2025年大湾区交易所科技大会昨日召开,与会嘉宾表示 把AI全面应用于资本市场建设
Zheng Quan Shi Bao· 2025-11-28 18:12
Core Insights - The conference on "Towards the Era of Artificial Intelligence+" was held by Shenzhen Stock Exchange, Hong Kong Stock Exchange, and Guangxi Futures Exchange, highlighting the rapid integration of AI technology in the financial sector [1][2] - Hong Kong Stock Exchange is actively exploring the use of AI to enhance financial regulatory digital transformation, aiming to improve efficiency in issuance review and market anomaly monitoring [1][3] - The Shenzhen Stock Exchange aims to build an internationally leading digital system during the 14th Five-Year Plan, focusing on digital infrastructure, platforms, capabilities, and ecosystems [2] Group 1 - The conference emphasized the significant breakthroughs in AI technology this year, which are transforming financial services and pushing the market into the "AI+" era [1] - The 2025 timeline is referred to as the "Year of AI Intelligence," with the financial industry accelerating its embrace of AI to overcome challenges such as data governance and computational power limitations [2] - The integration of AI in financial markets is seen as a critical path for responding to national strategies and developing new productive forces [3] Group 2 - The development of AI in capital markets requires a comprehensive push from exchanges and regulatory bodies, including the establishment of regulatory sandboxes for innovative applications [4] - Eight technological achievements were announced at the conference, showcasing the potential of AI in enhancing efficiency, compliance, and market governance within the capital market [4] - The focus on AI infrastructure investment is crucial, particularly in platform governance and talent development in the field of AI [4]
深交所挤满了人工智能“工程师” 共论AI赋能资本市场
Zheng Quan Shi Bao· 2025-11-28 16:41
Core Viewpoint - The conference held by the Shenzhen Stock Exchange, Hong Kong Stock Exchange, and Guangxi Futures Exchange focuses on the theme of "Entering the Era of Artificial Intelligence+" and highlights the accelerating integration of AI technology in the financial sector [1][3]. Group 1: Event Overview - The conference took place on November 28-29, 2023, and was attended by key figures from various financial institutions and technology companies, emphasizing the collaborative efforts in the Greater Bay Area [1][2]. - The event marks a significant moment for the three major exchanges in the Greater Bay Area to deepen their cooperation on AI applications in capital markets [3]. Group 2: AI in Financial Services - Hong Kong Stock Exchange CEO, Charles Li, noted that AI technology is transforming global financial services, enhancing efficiency and regulatory capabilities [3]. - The Shenzhen Stock Exchange aims to build an internationally leading digital system by focusing on digital infrastructure and capabilities during the 14th Five-Year Plan [4]. Group 3: Technological Achievements - Eight technological achievements were announced at the conference, including the Shenzhen Stock Exchange's intelligent monitoring technology for abnormal trading behaviors and various AI applications from other financial institutions [5][6]. - The intelligent monitoring project led by the Shenzhen Stock Exchange has significantly improved the regulatory capabilities and digital application levels in the industry [4][6]. Group 4: Future Directions - The conference participants discussed the potential of AI in the financial sector, emphasizing the need for overcoming challenges such as data governance and computational power limitations [9][10]. - Experts highlighted the importance of integrating AI into capital market construction and suggested developing regulatory sandboxes to encourage innovative applications of AI in compliance scenarios [10].
AI赋能金融监管:深交所智能监测系统找到多项违法违规线索
Di Yi Cai Jing Zi Xun· 2025-11-28 14:32
Core Insights - The Shenzhen Stock Exchange (SZSE) has developed advanced technologies for monitoring abnormal trading behaviors, addressing the complexities of modern market activities [2][3][4] - The "Intelligent Monitoring and Detection Technology for Abnormal Trading Behaviors in Securities Markets" project has successfully completed its implementation phase, enhancing regulatory capabilities [2][3] - The industry regulation model aims to improve the accuracy and completeness of regulatory responses, leveraging AI to address the challenges of traditional methods [7][8] Group 1: Intelligent Monitoring Technologies - The project has produced three core technologies: investor trading behavior classification, insider trading detection, and a securities market simulation system [2][3][4] - The investor trading behavior classification technology utilizes a comprehensive label system to analyze trading behaviors across six dimensions, significantly improving the precision of investor profiling [3] - The insider trading detection technology employs a large-scale trading behavior graph to identify suspicious trading patterns, enhancing regulatory efficiency and transitioning to a proactive monitoring approach [4] Group 2: Securities Market Simulation System - The securities market simulation system integrates historical trading data to create parameterized behavioral models, allowing for the simulation of various trading strategies [5][6] - This system addresses the limitations of traditional empirical research by providing tools for risk assessment and strategy validation, thus shortening the development cycle for trading strategies [6] Group 3: Industry Regulation Model - The industry regulation model, developed in collaboration with Huawei, aims to enhance the understanding and accuracy of regulatory inquiries through an intelligent Q&A platform [7][8] - The platform has been deployed for internal use and is being trialed by regulatory and market institutions, showing significant improvements in response accuracy and completeness [7][8] - The model serves as a pilot for future task models in the industry, supporting various regulatory functions and contributing to the legal foundation of the capital market [8]
深交所总工程师喻华丽:围绕六大领域统筹推进、形成合力,为加快建设世界一流交易所提供坚实的数字化智能化支撑
Zheng Quan Ri Bao Wang· 2025-11-28 14:06
Core Viewpoint - The Shenzhen Stock Exchange (SZSE) is focusing on risk prevention, strong regulation, and promoting high-quality development during the 14th Five-Year Plan period, with an emphasis on digital and intelligent support for building a world-class exchange [1][2]. Group 1: Digital Innovation Achievements - SZSE has made significant progress in digital innovation, guided by regulatory technology application needs, and has established a closed-loop innovation path from exploration to application [1]. - The key national R&D project on intelligent monitoring of abnormal trading behaviors has been successfully completed, enhancing the technological regulatory level and digital application capabilities in the industry [1]. Group 2: Collaboration and Platforms - SZSE has partnered with Huawei to create an industry regulation model platform, addressing issues of timeliness, accuracy, and completeness in regulatory Q&A [2]. - The platform is now live on the industry cloud, offering five major functions to support legal compliance and industry governance [2]. Group 3: Future Digitalization Plans - SZSE plans to focus on six key areas for continued digital and intelligent advancement, including building intelligent computing infrastructure and enhancing intelligent service capabilities [3]. - The exchange aims to implement "AI+" in core business areas, developing an intelligent regulatory system covering risk monitoring and company supervision [3]. - There will be an emphasis on governance in "AI+" applications, ensuring organizational, data, and security governance to support high-quality digital development [3].
深交所喻华丽:将深化“AI+”在监管、服务等领域的融合应用
2 1 Shi Ji Jing Ji Bao Dao· 2025-11-28 12:59
Core Insights - The Shenzhen Stock Exchange (SZSE) is advancing its digital transformation during the "14th Five-Year Plan" period, focusing on building a "smart" exchange through digital infrastructure, platforms, capabilities, and ecosystems [3][4][5] Digital Infrastructure - SZSE aims to establish a hybrid cloud system centered around group cloud, regulatory cloud, Shenzhen cloud, and public cloud, enhancing its IT infrastructure ecosystem to support financial institutions with high-standard services [3][4] - The exchange is expanding its financial data exchange platform user base and application scenarios while improving its multi-data center layout [3] Digital Platforms - SZSE is developing a comprehensive digital service and regulatory platform, which includes a trading system, regulatory technology application platform, business management service platform, office service platform, and information platform [3][4] Digital Capabilities - The exchange is enhancing its digital capabilities by focusing on five core areas: technological innovation, research and development, system operation, data governance, and management governance [3][4] Digital Ecosystem - SZSE is collaborating with industry institutions to build an efficient innovation ecosystem, leveraging platforms like the Financial Technology Center and the Cybersecurity Laboratory [4] - A methodology for digital innovation has been established, emphasizing regulatory technology application needs and business outcomes [4] AI Initiatives for the "15th Five-Year Plan" - SZSE plans to implement the "Artificial Intelligence+" strategy, focusing on risk prevention, regulatory enhancement, and promoting high-quality development across six key areas [5][6] - The exchange will develop intelligent computing infrastructure, enhance user experience through cloud applications, and integrate AI into core business areas [6] AI Application Architecture - The exchange aims to establish a robust AI application architecture, following a path of solidifying foundations, strengthening middle platforms, and optimizing applications [6] Innovation and Governance - SZSE will strengthen intelligent innovation research and development, creating a platform for industry applications while addressing key technological challenges [6] - Governance in AI will be reinforced, focusing on organizational, data, and security governance to support high-quality digital applications in the industry [6]
深交所挤满了人工智能“工程师” 共论AI赋能资本市场
证券时报· 2025-11-28 12:24
Core Viewpoint - The conference held by the Shenzhen Stock Exchange, Hong Kong Stock Exchange, and Guangxi Futures Exchange focuses on the theme of "Entering the Era of Artificial Intelligence+" and highlights the accelerating integration of AI technology in the financial sector [2][4]. Group 1: Conference Overview - The conference took place on November 28-29, 2023, and was attended by key figures from various financial institutions and technology companies, emphasizing the importance of AI in capital markets [1][2]. - The event marked a significant collaboration among the three major exchanges in the Greater Bay Area, showcasing their commitment to leveraging AI for enhancing financial services [4][5]. Group 2: AI Applications in Financial Markets - The Hong Kong Stock Exchange has been exploring AI to improve regulatory efficiency and market monitoring, aiming to enhance its international competitiveness [4][5]. - The Shenzhen Stock Exchange has made substantial progress in digital transformation, focusing on building a "smart" exchange through various digital initiatives [5][6]. Group 3: Technological Achievements - Eight technological achievements were announced during the conference, including the "Intelligent Monitoring Technology for Abnormal Trading Behavior" led by the Shenzhen Stock Exchange [6][7]. - The conference highlighted the successful application of AI in areas such as compliance, risk management, and market governance, indicating a positive trend in the financial sector [9][10]. Group 4: Future Outlook - The year 2025 is anticipated to be a pivotal moment for AI in finance, with expectations for AI to evolve from a tool to a core element reshaping industry paradigms [11][12]. - Experts emphasized the need for regulatory frameworks and infrastructure investments to support the integration of AI in capital markets, advocating for a balanced approach to innovation and compliance [12].