One target is "computational calculation" of divergence is in a sawtooth pattern using a kernel function, by comparing different kernel values and kernel regression, weighting sample points that lie outside the volume of the three regressions in a curative manner. This reveals the divergence between inspections through lateral sawtooth pruning if drawing it with like heatmap. The output is currently plotted using the Gaussian kernel function with Priestley-Chao regression. A Gasser-Müller nonlinear regression engine will also be added. If we for instance look Indian NiftyIndex we can see reversal in advance to come before price does.

Same opposite, when wavetheory is drawing & printing consolidation patterns, we can close it off fully ie. flat seasons.