Share Price Trend Prediction Using Attention with LSTM Structure

Stock market has a considerable impact in the whole financial market. Among researches on prediction, stock price movements prediction is a quite hot topic. In this paper, stock price movements were predicted by utilizing various stock information by technical means of deep learning. The architecture based on LSTM using Attention proposed in this paper was proven through experiment to be able to effectively improve prediction accuracy.