Here you go: The main issue is that there are 3 parts e.g. going down there is a) a top b) a middle that is inverted and c) there is the spike event and instantaneously you have the inverse kick in which is why you can be exact 100/100 times getting in and out of a trade. So to fall you have a) a cross down b) an inversion high (middle) and c) to end the fall a spike low event. Going up the inverse a) cross up b) inversion low and c) spike high. You do not see clearly (and me too) depending on how we dress up our templates so will look for a better template still but everywhere you go in market charts (any time frame) you see the same pattern. With my actual model you can tell end behaviours etc before they occur, because as opposed to the actual attractor mapping which is a mapping of specifically valued semaphores I will not show at this time, the pattern occurs in its dense form but imagine in the screenshot below just the crowns and you get the picture (TF is M1 which has high lacunarity or density of fractures) . Sorry not functioning too well right now got to go. But you get the picture. Need to rest thanks.
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