Knowledge graph-based intelligent quantitative research platform system and method thereof
Through an intelligent quantitative research platform system based on knowledge graphs and combined with a multi-level dynamic factor screening optimization algorithm, the problems of factor significance, redundancy, dynamic update, screening efficiency and profit risk balance in existing quantitative research methods are solved, and efficient, stable and explainable quantitative research results are achieved.
Patent Information
- Application Number
- CN202411872911.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-03-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing quantitative research methods have many problems in factor significance, redundancy, dynamic updates, screening efficiency and profit risk balance, resulting in poor performance in complex and changing financial markets.
Using an intelligent quantitative research platform system based on knowledge graphs, the full process improvement of factor screening, optimization and strategy verification is achieved through multi-source data acquisition, financial knowledge graph construction and multi-level dynamic factor screening optimization algorithms. Specifically, it includes technical means such as dynamic weighted significance screening, multi-objective de-redundancy optimization, dynamic update of timing adaptive factors, parallel rapid factor screening and profit contribution optimization.
It significantly improves the screening accuracy and stability of factors, reduces the complexity and calculation cost of models, enhances the interpretability and robustness of models, realizes an effective balance between dynamic updates of factors and profit risks, and improves the performance and practical application value of quantitative research systems.