Iron and steel futures market plays an important role in China’s economic development, and its price prediction has always been a research hotspot. This paper selects rebar as a representative, uses model to predict its futures price, and evaluates and analyzes the prediction results. This paper selects 2865 sets of data of rebar futures price from 2009 to 2020 to forecast the price in the next 14 trading days, and compares it with the real futures price of the 14 trading days, so as to evaluate VMD—EEMD—LSTM model the prediction effect of this model. Compared with other single model and combination model, the evaluation indexes mean absolute error(MAE), root mean square error(RMSE) and mean absolute percentage error(MAPE) of the prediction model are better than other models in 10% significance level, and have better prediction effect. More accurate futures price forecast can help stakeholders make better decisions and allocate resources, and make China’s economy develop in a more healthy and efficient direction.