Similar, except with WMA the past period weights would be preset
(e.g., .9, .8, .7, .6, etc.).
Moving average techniques are inefficient and can give misleading
results, especially if there is a lot of variability in the data.
For example, you could have a situation where your current (''new'')
data value is greater than your current moving average, yet, when
you compute your new moving average, it actually goes down,
because a higher value has dropped off the (older) back end of
the data set.
