香港交易所
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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].
香港各界持续驰援宏福苑火灾救援和善后工作
Zhong Guo Xin Wen Wang· 2025-11-28 15:22
Group 1 - A fire incident occurred at Hong Kong's Mong Kok on November 26, resulting in significant casualties and prompting a strong community response through donations and support for affected residents [1][3] - Swire Group expressed deep sorrow over the fire incident and donated over HKD 10 million to support rescue efforts, along with necessary supplies for those affected [3] - Hong Kong Exchanges and Clearing Limited announced a donation of HKD 10 million to the government-established relief fund to assist affected residents with basic living needs and temporary housing [3] Group 2 - Emperor Group provided immediate daily necessities to disaster victims and will supply new mattresses to nearly 2,000 households as follow-up support, with donations totaling HKD 10 million from the chairman and HKD 1 million from the vice chairman [4] - China Overseas/China State Construction announced a donation of HKD 20 million, along with individual employee contributions of HKD 2.08 million, to support emergency rescue and post-disaster recovery efforts [4] - HSBC and Hang Seng Bank announced a combined donation of HKD 30 million to support rescue and recovery efforts for the fire-affected residents and families [5] Group 3 - Cathay Securities, along with its subsidiaries, donated HKD 10 million specifically for emergency rescue and subsequent rebuilding efforts in Hong Kong [6] - Huatai Securities, in collaboration with Southern Fund, donated HKD 10 million to assist in emergency rescue, transitional housing, and community support services for affected residents [6] - China Resources Charity Foundation announced a cash donation of HKD 20 million for emergency rescue efforts, medical assistance, and emotional support for victims and firefighters [6]
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]
深交所喻华丽:“十四五”期间日处理委托容量从6亿笔提升到13.5亿笔 “十五五”将全力打造数智交易所
Xin Lang Zheng Quan· 2025-11-28 14:28
喻华丽指出,回顾总结十四五期间,我们围绕数字化战略目标从数字化基础设施、数字化平台、数字化 能力和数字化生态四个方面持续着力全面推进数字化体系建设,并取得了积极成果。十四五期间,交易 系统日处理委托容量由6亿笔提升到13.5亿笔,持续订单处理能力由30万笔/秒提升至52万笔/秒,峰值委 托处理压力下的时延降低50%。 展望"十五五",喻华丽表示,我们将贯彻落实党的二十届四中全会精神,认真落实党中央国务院关于人 工智能+行动的重大决策,聚焦防风险、强监管、促高质量发展这一中心工作主线,全力打造安全、高 效、智慧的数字交易所,为资本市场的健康发展、高质量发展注入新动能。 责任编辑:郝欣煜 专题:2025年大湾区交易所科技大会 11月28日至29日,深交所联合港交所、广期所,围绕"迈向人工智能+时代"主题,共同举办2025年大湾 区交易所科技大会。深交所总工程师喻华丽出席会议并做《固本兴新,迈入数智发展新阶段——深交所 数字化体系建设与发展》的主题演讲。 ...
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].
港交所首席资讯总监:建议交易所采用负责任AI的五项最佳实践 平衡创新与风险
Xin Lang Zheng Quan· 2025-11-28 12:50
Core Viewpoint - The Hong Kong Stock Exchange (HKEX) emphasizes the importance of balancing innovation and stability in the context of AI, advocating for responsible AI practices to mitigate governance, privacy, and security risks [1][3]. Group 1: Responsible AI Best Practices - The five best practices for responsible AI suggested by HKEX include: 1. Establishing a robust AI governance framework [3] 2. Promoting human oversight to maintain a "human-machine collaboration" model [3] 3. Ensuring data quality and diversity to reduce bias [3] 4. Enhancing AI literacy and risk awareness across the organization [3] 5. Deploying AI securely through local or trusted cloud infrastructure [3] Group 2: Opportunities in the Greater Bay Area - The Greater Bay Area is recognized as a leading global technology innovation cluster, providing unique advantages for the development of technology in exchanges [3] - HKEX looks forward to deepening collaboration with peers in Shenzhen and Guangzhou to fully leverage AI's potential in capital markets and broader economic contexts, while maintaining market integrity and stability [3]
港交所梁松光:市场交易量创下新高!全球宏观波动不仅意味着交易所要“穿越低谷”,也要有能力“把握高峰”
Xin Lang Zheng Quan· 2025-11-28 12:38
同时,他表示,技术是确保我们具备这种能力的关键。作为全球交易所,科技是港交所为利益相关者创 造价值的方式。我们提供平台,助力市场繁荣,市场参与者在各种宏观环境下竞争。人工智能时代,交 易所需利用创新技术,在波动的商业环境中更具韧性和动态性。 责任编辑:郝欣煜 11月28日至29日,深交所联合港交所、广期所,围绕"迈向人工智能+时代"主题,共同举办2025年大湾 区交易所科技大会。港交所集团首席资讯总监梁松光出席会议并做"迈进人工智能新纪元"的主题演讲。 梁松光谈到,过去一年,我们市场交易量创下新高。事实上,历史上最活跃的20个交易日全部发生在 2024年9月之后的12个月内。这也提醒我们,全球宏观波动不仅意味着交易所要"穿越低谷",也要有能 力"把握高峰"。 专题:2025年大湾区交易所科技大会 ...
港交所梁松光:管控AI风险才能确保市场在经济周期中持续繁荣
Xin Lang Zheng Quan· 2025-11-28 12:33
专题:2025年大湾区交易所科技大会 第三,确保数据质量和多样性。定期审查和提升训练数据的质量与多样性,减少偏见,使用多元数据 源,并将模型输出与现实场景验证也很重要。 第四,推动持续教育和意识提升。在全公司范围内提升AI素养和风险意识。员工是防范风险的重要防 线。 第五,也是最后一项最佳实践,安全、受控地部署。在安全、受控环境(本地或可信云基础设施)部署 AI解决方案,有助于保护敏感数据并确保合规。 责任编辑:郝欣煜 11月28日至29日,深交所联合港交所、广期所,围绕"迈向人工智能+时代"主题,共同举办2025年大湾 区交易所科技大会。港交所集团首席资讯总监梁松光出席会议并做"迈进人工智能新纪元"的主题演讲。 AI时代对交易所意味着什么?梁松光回答道,我们在全球经济中扮演着关键角色。我们负责促进资本 流动,也要确保资本市场值得信赖、可靠。AI这样强大且新兴的技术为交易所和金融市场带来巨大机 遇,同时也带来治理、质量、隐私和安全等方面的风险。 他强调,港交所视AI为战略赋能者,其策略是"雄心勃勃但审慎"——拥抱创新,同时兼顾稳健治理和严 格风险管理。随着AI日益影响市场发展,负责任的应用至关重要,确保市场长 ...
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].