This course starts from the development trends at the intersection of AI and finance, providing a systematic understanding of how intelligent investment systems are gradually transforming traditional asset allocation logic. As data scales expand, market structures grow more complex, and AI technology advances rapidly, financial markets are shifting from being "experience-driven" to "data- and model-driven." The course combines quantitative models, on-chain data, AI Agents, and intelligent trading ecosystems to deconstruct how AI is redefining investment research, risk management, and asset allocation processes. Through comprehensive framework learning, you will gain a deeper understanding of the future direction of financial systems and autonomous investment decision-making systems.
This course is organized around AI finance and intelligent investment systems, divided into five major modules covering core topics such as the evolution of asset allocation, quantitative models, AI trading platforms, on-chain data applications, and autonomous investment systems. The curriculum balances foundational logic, market practices, and future trends, helping learners build a complete understanding from theory to application. In addition to AI applications in market analysis and strategy generation, the course also explores automated execution, dynamic allocation, and the development potential of AI Agents. It is suitable for learners who want to understand how AI is transforming financial markets and who are interested in future trends in intelligent investing.
