Research And Implementation Of Stock Analysis System Based On Decision Tree Classification

With the development of economy,people invest more and more in projects.As a common investment,stock market is closely related to life.Stock investment is characterized by high risk and high returns.For stock investors,the choice of stocks with investment value is a realistic issue.The concept of value discovery investment requires a scientific stock selection method.However,there are many factors that affect stock prices,including the international and domestic political situation,the economic development of countries,and all aspects of cultural and social life.The current research mainly focuses on data management and data analysis,and the use of algorithms to achieve knowledge management functions.The main application of knowledge discovery is the expert base,also known as the knowledge base.The general knowledge base model is mainly implemented by the decision tree.The design and development of the stock analysis expert system mainly focuses on the development and research of thematic modules and financial analysis modules,including investment analysis,data update and financial update of inventory management.This paper introduces the analysis of stock financial data based on decision tree classification.It mainly expounds the basic factors that affect the stock price in the basic analysis of stocks,the influence of political factors on the stock price,the influence of the nature of the company's industry on the stock price,and the company's operating performance is the key to judge the stock price;Analysis of stock financial data based on decision tree classification.The basic idea of decision tree and the advantages of decision tree classification are summarized.The basic idea of decision tree and the advantages of decision tree classification are summarized.After that,we design and implement the stock information extraction technology based on Web,and analyze the information extraction step of stock analysis expert system.The financial analysis model of decision tree classification is established.Finally,the concrete realization of stock technology graphics is summarized.This method is more suitable for stock forecasting than traditional measurement method.