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

Authors

  • HaiLong Liao (Corresponding Author) School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.

Keywords:

DeepSeek large - scale model, Intelligent stock selection in the A - share market, Factor system, Empirical research

Abstract

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.

References

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Published

2025-02-17

How to Cite

HaiLong Liao. A-share intelligent stock selection strategy based on the DeepSeek large model: Technical routes, factor systems, and empirical research. Eurasia Journal of Science and Technology. 2025, 7(2): 7-13. DOI: https://doi.org/10.61784/ejst3070 .