This paper explores the long and mid-range Taiwan Stock Index Futures (TX) trend forecast model by using the latest opening price of month and closing price of the next term as parameters in an attempt to forecast the moving trend of Taiwan stock index futures. The model has been empirically tested by adopting Time-Series model called ARIMA and time trend regression to see if monthly-based opening price and closing price bear some coherent correlations to predicting the moving trends of Taiwan Stock Index Futures. Our results derived from the study of the data of Taiwan Stock Index Futures (TX) issued by the Taiwan Futures Exchange (TFE) from the period of 2003 to 2007 clearly show that there is a positive correlation with the opening price of month for forecasting the closing price of next term in Taiwan Stock Index Futures.