id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-32542	Xie, Xin	Research on Gold Price Prediction Model Based on CEEMDAN-XGBoost	2025	8	.pdf	application/pdf	3381	152	39	To further evaluate the effectiveness of the CEEMDAN and XGBoost combined model, comparative experiments are also conducted. This study not only provides an effective modeling approach for gold price prediction but also offers new insights for handling nonlinear and non-stationary features in other financial time series data.	cache/ajst-32542.pdf	txt/ajst-32542.txt