The prediction system for data analysis of stock market by using Genetic Algorithm

Data analyses have been growing importance on the stock market in the recent years. In order to get the profit of the investing, many investors need to know how to analyze the important data from the stock market. In a large amount of general literature on stock predict, it only a few specific guidance appear on the future prediction. Therefore, how to predict the stocks from the retrieval data, it becomes an important and considerable problem on market predict. In this paper, we will use the Web robot to capture data from the stock market. The system will explore and analyze the information to predict stock prices in the seesaw process. Using a group of cement, medical industries as the examples, this paper will discuss the topics of Web robot, Genetic Algorithm and Support Vector Machine, which can provide a framework for data analysis and predict the stock market. Furthermore, we will analyze the efficiency of our method and show the better performance for the efficiency and accuracy.