Prediction of stock market has attracted attention from industry to academia [1, 2]. Various machine learning algorithms such as neural networks, genetic algorithms, support vector machine, and others are used to predict stock prices.
['Kai Chen', 'Yi Zhou', 'Fangyan Dai']
A LSTM-based method for stock returns prediction: A case study of China stock market