Report Summary 1. Report Industry Investment Rating No relevant information provided. 2. Core Viewpoints The digital and intelligent transformation is driving the Chinese futures market towards a more intelligent, open, and inclusive direction. Technologies such as big data, artificial intelligence, cloud computing, and blockchain are revolutionizing the market's operation, but the transformation also faces challenges in technology, data security, regulations, and talent, which need to be addressed through corresponding measures [2][3][15]. 3. Summary by Directory A. Core Technologies and Applications of Digital and Intelligent Transformation - Big data analyzes vast market data for accurate price trend prediction and risk control, as seen in the real - time risk warning system of a large futures company [2][3]. - AI and machine learning are used in algorithm trading and investment decision - making, reducing human errors and enhancing trading efficiency [4]. - Cloud computing provides powerful computing and flexible resource scheduling for efficient risk management system operation and cost reduction [5]. - Blockchain ensures transaction data transparency and security, simplifies the delivery process, and promotes market innovation [6]. B. Successful Practices of Digital and Intelligent Transformation - A large futures company built a comprehensive risk monitoring system using big data, reducing market risks [7]. - A leading futures company optimized its risk model with AI, reducing risk losses and improving customer satisfaction [8]. - Another company achieved efficient risk management system operation through cloud computing, ensuring system stability during high - volume trading [9]. - A futures exchange used blockchain for electronic contracts, digital warehouse receipts, and smart contracts, improving efficiency and security [10]. C. Challenges and Countermeasures in Digital and Intelligent Transformation - Technical risks include blockchain security and system compatibility issues, which can be addressed by standardizing technology and establishing emergency plans [11]. - Data security requires measures like encryption and access control, and ethical issues in algorithm trading need to be resolved through technology design and regulations [11]. - Regulatory lag requires updating laws and promoting international cooperation for unified standards [12][14]. - Talent shortage can be solved by collaborating with educational institutions, providing incentives, and internal training [14]. D. Future Development Trends of Digital and Intelligent Transformation - Technology integration will deepen, such as combining blockchain with IoT and AI with big data for better market infrastructure [15]. - Regulatory technology will help address regulatory challenges, enabling real - time monitoring and automated compliance [15]. - Market innovation will continue, with new products like digital currency futures emerging, and cross - border trading will increase with international cooperation [15].