No. of Recommendations: 1

I'm going to offer a suggestion which may either simplify or complicate the model you are contemplating.

One of the ways that we can multiplex information (put more than one data streams on a given wave) is by using different different frequency "bands" superimposed on a single carrier wave. To separate them out at the receiving end, one method is to use a series of bandwidth filters.

One of the issues caused by this method is the creation of harmonics - spots where the peaks or troughs of a number of the information bands combine to create substantial distortions of the overall waveform.

I suspect the difficulties in interpreting various derived financial "waveforms" is that they are generally formed by multiple layers of potentially disparate datasets. In addition, sometimes the disruption caused by harmonics is easily misinterpreted because of its gross distortion.

(Just thinking out loud)
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