Hi
Since this subject has certainly been covered, maybe
someone has some links to threads or whatever.
I'm NOT really interested in the best time interval to use for a moving average.
I'm looking for what the best moving average actually is.
I guess it should be very smooth (to eliminate false triggers)
yet track the data quickly when it moves quickly and slowly
when it moves slowly.
pre-smoothing of data>??
A long long time ago I was playing around in wealth-lab
and seemed to determine that when using a time period
of 40 or 50 bars or so, the only pre-smoothing that could
be done that would not introduce delay was a 2 period
weighted moving average. Even a 2 period simple introduced
delay. I was analyzing the charts visually.
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adaptive>??
I guess it has to be VIDYA (applied to pre-smoothed data).
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use a short time frame and transfer to a longer>??
Does it make sense to apply a very long moving
average (perhaps 200,300,500 whatever)
to 5 second or even 1 second bars
and drag and drop this onto
bars, of let's say, 3 minute. Wouldn't this result in a very
smooth average?
---------------------------------------------------------------------------
Can all this be done visually, by trial and error?
Can it be done in Ninja (or perhaps QuoteTracker)?
How does one know how far off from 'perfect' (hee, hee)
one is when done?
-Stephen
Since this subject has certainly been covered, maybe
someone has some links to threads or whatever.
I'm NOT really interested in the best time interval to use for a moving average.
I'm looking for what the best moving average actually is.
I guess it should be very smooth (to eliminate false triggers)
yet track the data quickly when it moves quickly and slowly
when it moves slowly.
pre-smoothing of data>??
A long long time ago I was playing around in wealth-lab
and seemed to determine that when using a time period
of 40 or 50 bars or so, the only pre-smoothing that could
be done that would not introduce delay was a 2 period
weighted moving average. Even a 2 period simple introduced
delay. I was analyzing the charts visually.
--------------------------------------------------------------------------
adaptive>??
I guess it has to be VIDYA (applied to pre-smoothed data).
--------------------------------------------------------------------------
use a short time frame and transfer to a longer>??
Does it make sense to apply a very long moving
average (perhaps 200,300,500 whatever)
to 5 second or even 1 second bars
and drag and drop this onto
bars, of let's say, 3 minute. Wouldn't this result in a very
smooth average?
---------------------------------------------------------------------------
Can all this be done visually, by trial and error?
Can it be done in Ninja (or perhaps QuoteTracker)?
How does one know how far off from 'perfect' (hee, hee)
one is when done?
-Stephen