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Market economy closely connects aspects to all walks of life. The stockforecast is one of task among studies on the market economy. However,information on markets economy contains a lot of noise and uncertainties, whichlead economy forecasting to become a challenging task. Ensemble learning anddeep learning are the most methods to solve the stock forecast task. In thispaper, we present a model combining the advantages of two methods to forecastthe change of stock price. The proposed method combines CNN and GBoost. Theexperimental results on six market indexes show that the proposed method hasbetter performance against current popular methods.

Gradient Boost with Convolution Neural Network for Stock Forecast