Fast Fourier Transform (raw)

["AirXstreams" <airxstreams@xxxxxxxxxxx>]

Hello,
 
This question is directed to anyone who has played 
around with (and preferably understood) MetaStock's Fast Fourier Transform (FFT) 
built-in indicator...
 
The FFT indicator can be displayed either as an 
INTERPRETED plot or as a RAW plot.
 
The INTERPRETED plot isolates and displays the 
data's 3 most predominant cycle lengths (displayed on the y-axis in days) and 
their relative strength (to each other) shown by the proportion of the 
x-axis the cycle length occupies. Knowing the predominant cycle 
of a security's price data enables various indicators to be optimised 
by using the cycle length (or more commonly, half this period) to adjust 
the indicator's variable(s). The same effect can usually be achieved by 
simply optimising an indicator.
 
The RAW FFT plot has me 
more interested but quite confused. When the RAW option is chosen it 
displays a plot of the raw data upon which the INTERPRETED plot is 
based.
 
Now for the question... What characteristics would 
this RAW FFT plot of a security's price data have if this data was very 
predictably cyclic? That is, I'm NOT interested in finding out what 
the data's predominant cycle is (as given by the INTERPRETED FFT) but how 
predictably cyclic it is and being able to quantify this relative to other data 
series. I'm hoping that this might then form the basis for a very valuable 
exploration that could be used when selecting candidates for application of 
cycle-based or period reliant indicators.
 
Any insights into the interpretation of the RAW FFT 
indicator and ideas for its application would be very much 
appreciated.
 
Thanks in advance,
 
Paul.