Paper combines CNN and GBoost for better stock price prediction.
problem Challenges in forecasting stock prices due to noise and uncertainties in market data.
method Combines Convolution Neural Network (CNN) and Gradient Boosting (GBoost) for stock price prediction.
result Experimental results show the proposed method outperforms current methods on six market indexes.