Prediction of stock market trends is considered as an important task and is of great attention
as predicting stock prices successfully may lead to attractive profits by making proper …

Abstract Stock Market Forecasting (SMF) has become a spotlighted area and is receiving
increasing attention due to the potential that investment returns can generate profound …

In this paper, we propose a robust and novel hybrid model for prediction of stock returns.
The proposed model is constituted of two linear models: autoregressive moving average …

Stock price prediction is an important issue in the financial world, as it contributes to the
development of effective strategies for stock exchange transactions. In this paper, we …

Stock index forecasting is a hot issue in the financial arena. As the movements of stock
indices are non-linear and subject to many internal and external factors, they pose a great …

Obtaining accurate prediction of stock index sig-nificantly helps decision maker to take
correct actions to develop a better economy. The inability to predict fluctuation of the stock …

In this paper, we use Long Short-Term Memory Networks (LSTM) to predict stock price
movement. Compared with other Artificial Neural Networks (ANNs), LSTM is more suitable to …

The support vector regression (SVR) has been employed to deal with stock price forecasting
problems. However, the selection of appropriate kernel parameters is crucial to obtaining …

Fuzzy cognitive maps (FCMs) have been successfully used to model and predict stationary
time series. However, it still remains challenging to deal with large-scale nonstationary time …

The current market's demand for customization and responsiveness is a major challenge for
producing intelligent, adaptive manufacturing systems. The Multi-Agent System (MAS) …