Moving
average (MA) techniques are best suited for forecasting
when the time series is reasonably stable.
By reasonably stable we mean the time series is one with no significant
trend, cyclical, or seasonal effects.
In such a case the objective of the forecasting method is to smooth out
the irregular component of the time series through an averaging process. ORS supports three different approaches
within the moving average family.