| Shanghai Securities has rich industry experience and knowledge accumulation in fund evaluation research,and the research data and reports released by the Fund Evaluation Center under the company have been widely recognized by the financial market.However,for a long time,business personnel have used a stand-alone model to process fund evaluation research data,and there are problems in the system such as long data processing time and low reusability,as well as limited service capacity and poor user experience.Therefore,this paper builds a fund evaluation research system based on a cloud-native platform that adapts to new generation technology.This paper starts from the actual needs of Shanghai Securities Fund Evaluation Center,and after detailed analysis and research,it realizes multi-level and all-round fund portraits in four aspects: stock,fund,fund manager and fund company,Barra style factor and industry factor portraits in fund factor level,scale value and industry theme portraits in fund position,and fund manager Based on these label portraits,we can provide front-end business users with more complete fund evaluation and research,as well as portfolio research and report factory functions.In this paper,the fund evaluation research algorithm is established using the stock-bond two market risk factor model,and stock market beta and bond market beta are introduced to measure fund market risk factors and market sensitivity factors of fund asset allocation.By analyzing the fund’s investment ability,timing ability and performance return data,the fund’s market risk-adjusted excess return can be accurately measured,resulting in a more accurate rating result.In terms of fund evaluation and research system implementation,the system is based on Vue+Element UI for front-end functionality,Spring Boot for back-end microservices,and Py Spark for large-scale data services.The system as a whole is deployed on Shanghai Securities Cloud Native Platform,which integrates Docker container and Kubernetes container orchestration tools,as well as microservice Service Mesh and Dev Ops technologies to realize the full lifecycle management of business applications from development and testing to deployment,operation and governance.The system is currently live in Shanghai Securities and has been used by the company’s fund evaluation center,wealth management headquarters and branches in their daily investment research.In addition,the evaluation and research analysis data of the system provides scientific and reasonable value-added data services for institutional investors and comprehensive and complete fund investment reference basis for individual investors. |
