Fitting Technique Based On The Attribute On The Method And ²¨¶÷˹̹»ù Function Of The Stock Market Prediction Algorithm

With the economic growth and the conversion of people's investment consciousness, the stock has become an important part of people's life in modern society. The investment in stock has become one of the focuses of public topic. How to keep the development and the boom of stock market has become the emphasis of concern and research of manager and investor. The proceeds of stock investment always equal to the risks. It also means that the good proceed is based on the poor risk of failure .Therefore the study of stock prediction method has great application value and theoretical significance. On the other hand,the complexity of inside structure and levity of exterior complication in system of stock market prediction is a complex problem.This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology. The historical factors on the future stock market have been well considered. For those stocks which have long history, we first devide its time series window into several sub windows of the same length, then a similarity search method is used to find the most similar time series window to the current stock time series window . In fact, such windows may exist more than one or doesn't exist, the stock power indexes are used as the secondary judgment criterion if there are more than one similar windows.Finally,the arm window is successfully found. At this time , the movement coefficients can be obtained by applying the time series window movement model. Now, we can make prediction on the stock. If there is no such similar window or for those new stocks , the Bernstein Basic Fuction fitting technology are used as to simulate the stock time series. The Bernstein Basic Function has a property of protruding containing, which is another theoretical basis.From large quantites of prediction experiments on the stock market, we can say that the algorithm presented in this paper proves to be simple and effective. In order to compare with Neural Network method, an inherited Neural Network is designed to do the same job.At last, some improved ideas are also put forward.Wanghong (Computer Science and Application)Directed by Prof. Feng JiaLi...