On stock prediction based on KNN-ANN algorithm

The stock price trend is attracting people´s attention. In order to make more accurate stock prediction and provide more reasonable investment suggestions, we establish a systemic predicting model based on KNN and BP Neural Network. We have tried it in predicting the stock price of Central China Science and Technology. Experiment results show that the average errors occurring in KNN-ANN algorithm are smaller than those in KNN algorithm, demonstrating that the predicting model based on KNN-ANN algorithm can do better in the stock prediction.