Storyline: Shenzhen Stock Exchange uses AI to detect abnormal trading activities [Voice_over] The Shenzhen Stock Exchange is spearheading a transformative project that uses big data and AI technologies to monitor securities trading activities. To target insider trading, for example, the system leverages temporal knowledge graphs of ultra-large-scale investor trading behavior and advanced AI models to identify suspicious trading patterns or uncover potential hidden networks of connected accounts. [Sound_bite] Yu Huali, Chief engineer, Shenzhen Stock Exchange: "Compared with previous methods for monitoring abnormal trading activities, this newly released achievement utilizes artificial intelligence technology to precisely profile investor trading behavior. It proactively uncovers similarities and hidden correlations in trading activities across different accounts, thereby enhancing the capability to detect insider trading. Currently, this achievement has been implemented in the regulatory practices of the Shenzhen Stock Exchange and has yielded positive results." [Voice_over] By integrating AI, big data and other frontier technologies, the Shenzhen Stock Exchange is forging a new regulatory model, which features "smart monitoring, precise identification, scientific evaluation and proactive risk prevention." [Restrictions: No access Chinese mainland]