Data Mining Applied In The Stock Predictions

With the prosperity and development of China's market economy, Stock goes into the thousands of households and has become closely linked with the many investment products. Therefore, more and more people concerned about the prediction of stock trends.People under the projections used in different ways, will be divided into two factions in the stock forecast: Fundamental analysis and technical analysis. Based on data mining technology to forecast the stock is an important branch of technical analysis.The article is in-depth study of data mining technology and discusses the decision tree algorithm, time series, neural network in the stock prediction. Focused on the ID3 algorithm of the decision tree and BP neural network algorithm in the stock prediction. During the discussion of the ID3 decision tree algorithm applying to the stock forecast, based on specificity for the stock market, article slightly improved the algorithm and generated a strong effectiveness and redundant smaller tree; the introduction of BP neural network prediction on the stock, changed the learning rate optimization algorithm so that achieve the optimum results in stock forecasting.