I have absolutely no idea. The concepts of fractal market analysis and cycle theory seemed to apply to what I was doing after I was already doing it, but played absolutely no part in how I came up with the system.
I doubt I could even begin to comprehend anything written by Benoit Madelbrot. My approach is based on ordinary observations and adaptive price range envelopes in multiple time frames. It's pretty much as simple as that.
Here is one... Here is a second from tradingview... And this third one is from m.futuresmag - The Adaptive Price Zone by Jean Folger, October 31, 2015
Here is a link to a paper coauthored by Lei Hong that's a little newer but not relevant to signal processing or trading. http://www.dpi-proceedings.com/index.php/dteees/article/download/28976/27993 What I like about the concept of empirical mode decomposition is the intrinsic mode functions and residual (summed together equal the original signal) look easier to analyze than the original signal. For example from https://www.math.sk/mpm/wp-content/uploads/2017/10/krakovsky.pdf, Since the intrinsic mode functions oscillate around a zero mean, it might be possible to extrapolate some of the lower-frequency ones and add those to an extrapolated residual to predict future direction. I've been working on some code (perl and C++) to try this idea.
Thank you. They remind me of Bollinger bands. So, I can approximate the waves with Bollinger bands of different timeframes.
Here are three images from April of last year when I compared two APZ indicators to my own adaptive price range envelopes in entries I posted to a thread on Dochian Channels, where I also notice the similarity to Billinger bands, but did not like that aspect of the first envelope. However, I think the second APZ might be better than mine (though I'm not sure about that because I never adopted its use)...
Thanks. I wonder if they're being restricted from replying to Americans with all the hostility now. Heck their emails might be filtered so they don't even receive emails from us.