Abstract
Gold has a strong anti-risk ability, and the price trend attracts much attention for most investors all over the world. This letter investigates and predicts the price of London gold by using the improved empirical mode decomposition (EMD) method. The prediction results after decomposition approximate well to the real ones and suggest more accurate gold price trend that can help investors in choosing better strategies in the big data era. Moreover, the forecasting methods and techniques used in the study provide inspiring new thoughts for high-frequency data analysis in theory.