A-SHARE INTELLIGENT STOCK SELECTION STRATEGY BASED ON THE DEEPSEEK LARGE MODEL: TECHNICAL ROUTES, FACTOR SYSTEMS, AND EMPIRICAL RESEARCH

This research focuses on the application of the DeepSeek large - scale model in intelligent stock selection in the A - share market. It constructs a multi - dimensional factor analysis framework that integrates reinforcement learning and a mixture - of - experts architecture. Through empirical research, the advantages of this model in terms of return acquisition and risk control are verified, providing new intelligent strategies for A - share investment and promoting technological innovation and development in the capital market.