A CNN–LSTM model for gold price time-series forecasting

A new deep learning forecasting model is proposed for the accurate prediction of gold price and movement that exploits the ability of convolutional layers for extracting useful knowledge and learning the internal representation of time-series data as well as the effectiveness of long short-term memory layers for identifying short- term and long-term dependencies.