Yuhan Zhang: Stock Market Prediction Based on Differential Evolution Analysis Method
نویسنده
چکیده
How to analyze the features of stock price accurately and master the regularity of stock price changing with time quickly and effectively is of great theoretical and realistic significance and is an important research direction in financial field. For complicated non-linear and periodic variations of stock prices, a parallel computing model is proposed in this paper based on stock prediction algorithm of least squares support vector machine (LSSVM) . The experiment has proved that the new method ensures the accuracy of prediction and also shortens the prediction time greatly, which can be adopted in large scale data processing and prediction in financial field extensively and is of great application value.
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