Combination Forecasting Model Of Stock Market Based On Grey Model And Neural Network

The stock market, which is the main character of market economy, attracts millions of investors from its birth. Stock investment has become an important part of daily life. Because high risk high payoff is the character of the stock market, Investors care for stock market, try to analyze stock market and predict the trend of stock market. The change of stock price in the stock market becomes the most important question that everyone is concerned about.The stock market is influenced by political and economic factors, the internal discipline is very profound, so the prediction results of traditional prediction technology are unsatisfied.Stock has strong uncertainties because of many stochastic things affecting the stock price. The paper makes use of the combination model based on grey arithmetic and Neural Network to forecast the trend of stock price.Firstly, the paper adopts grey system model and neural network model to predict stock price separately. The prediction results show that in the short-term prediction of stock price, grey system model is an effective model, and neural network model also has good prediction results. Because the prediction results of single model is still unsatisfied, the paper puts forward the combined grey neural network model and use it to predict the stock price, the prediction results is better than single model's results.Meanwhile, the paper puts the common used stock market technical index into the combination model, such as MA(3),BIAS,RSI,OBV and so on, to improve the forecasting accuracy of the model.