The prediction of the stock market has always been a challenging issue, because many
factors will cause the market uncertainty such as national policies, company financial …

The prediction of a stock price has always been a challenging issue, as its volatility can be
affected by many factors such as national policies, company financial reports, industry …

The stock market is a capitalistic haven where the issued shares are transferred, traded, and
circulated. It bases stock prices on the issue market, however, the structure and trading …

Stock market prediction is still a challenging problem because there are many factors effect
to the stock market price such as company news and performance, industry performance …

In this paper, we propose a hybrid deep neural network model (HDNNM) to predict the stock
price. The HDNNM consists of two parts: classification and regression. The classification part …

Stock market prediction is still a challenging problem because there are many factors effect
to the stock market price such as company news and performance, industry performance …

Stock forecasting is difficult because of its complexity and uncertainty. To better predict stock
prices and then provide stockholders with reasonable suggestions, this paper proposes an …

In this paper, we presented a novel model that combines Convolution Neural Network
(CNN) and Long Short-term Memory Neural Network (LSTM) for better and accurate stock …

Stock prediction has become an emerging issue in recent decades and many studies have
incorporated it with social systems to provide a better accuracy for the prediction results …

In this paper, the convolutional recurrent neural network (ConvLSTM) architecture is
proposed to predict individual stock prices. The characteristics of stock data are …