A lot of John Ehlers indicators are available here: https://www.prorealcode.com/tag/john-ehlers/
Is this one useful for your query? @Finning
Ehlers’s Adaptive Cyber Cycle
Hi Nicolas,
I have had a look through the Ehlers tags, and I couldn’t find what I was looking for.
I am looking for an indicator to find the dominant cycle of the market.
The Cyber Cycle doesn’t do what I’m looking for either – however apparently it does use the dominant cycle in the code – just don’t exactly know to isolate that part of the code.
I did see this below request in the forums – https://www.prorealcode.com/topic/convert-autocorrelation-periodogram-cci-from-easy-language-to-prorealtime/
This would have done the job perfectly – however the Easy Language code needed arrays to work – which PRT doesn’t support.
What I’m ultimately trying to achieve is a measurement that I can then average to describe the dominant cycle of the market – and a Dot Plot of the dominant cycle – just as on the HK-Lisse page – would be great.
The reason I’m looking for this dominant cycle is to primarily tune indicator lengths to market phase.
Seems a bit unfair to ask you to find the missing pieces (a MESA based dominant cycle finder), but if you could – and post it to the library for all, that would be much appreciated.
Finning.
PS – have also seen this – https://www.prorealcode.com/topic/dominat-cycle-calculation-by-band-pass-corssing-over/
I don’t believe that this is the “original” way to find the dominant cycle. I have got this method to work, and get results that are reasonably correlated to my empirical cycle measurements – however a dot plot or autocorrelation periodogram of dominant cycle information is much more useful in revealing additional cycle information.
You’ll find attached to the post the ITF file for the Goertzel cycle detection algorithm. When you import the file you’ll get all necessary sub-functions imported at once.
Bear in mind that the indicator will find cycle period from 5 to 25, because it was an experiment to find the correct one that HK-Lisse introduces in his article, he was using a simple fake signal (the first red curve = no noise curve) and then he made another test with another fake signal but with more noises (the green curve).
So in order to get a dominant cycle of the price data serie, you must make some changes in the code (increase the range of cycle period for instance) and also inject the price serie in a detrended format, otherwise you’ll get false results obviously.
Hi Nicolas,
thank you very much for that! I will test shortly, and let you know how it goes.
Regards,
Finning
