Double Moving Average (DMA)

Applies the moving average technique twice, once to the original data and then to the resulting single moving average data. This method then uses both sets of smoothed data to project forward. Predictor can automatically calculate the optimal number of periods to average, or you can select the number of periods to average.

This method is best for historical data with a trend but no seasonality. It results in a straight, sloped-line forecast.

Figure 31. Typical Double Moving Average Data, Fit, and Forecast Line

Upward trending graph of single moving average historical and forecasted data