Design and Implement an Intelligent System for Stock Investment Decision Making

A machine learning (ML) based software for stock investment decision making is designed and implemented to explore problems of developing the financial software with intelligent capabilities. Two main issues are discussed in this paper: how to integrate the process of software development and ML module development; how to integrate the ML modules into the software. A utility optimization problem is proposed to formulate software design considerations. In the prototype system, three modules are implemented to facilitate the investment decision making process: a fundamental analysis module; a stock chip analysis module; and a technical analysis module. Those modules let the user to sieve candidate stocks for investment and help the user to judge whether or not it's a good timing to invest. For making better user experience, we implement a user interface in a social communication software.

關鍵字

software process ； machine learning software engineering ； financial software ； investment decision making ； utility optimization problem

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Design and Implement an Intelligent System for Stock Investment Decision Making

摘要

關鍵字

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