Okay, here is the first sub-sequencing I’ve done. Starting with the basic one, the 4 string.
On the left is all of the 4 string sequences, contained within each day. In other words, sequencing re-starts each day; the max string is 24. The most basic sequencing is 1-2-3-4, then 2-3-4-5, 3-4-5-6, etc. I call this pure linear sequencing. It helps answer the question: if the current sequence is Up, Up, Up, what are the odds that the next bar will be Up versus down? This can be made more complex like I’ve said in a past post that by including different ways to count such as 1-3-5-7, 3-5-7-9, 11-13-15-17, etc. This can be expanded as long as the subset can hold it (in my case, 24).
My data, instead of Up hours versus Down hours, is Movement versus non-movement. Movement is defined as a new HH or LL, with the same idea that I’ve been using for quite a while now. HH/LL has to meet the context that it breaks the current daily High or Low.
On the left, the 4 string sequences for ALL subsequences. Linear, 1 space, 2 space, 3 space, etc. The data shows that in all sequence types, probabilities favor non-movement, aka an “X”. However on the right, I’m showing standard pure linear sequencing. Here it appears that there are a few cases where “M”, or movement, aka, a new Higher High or a Lower Low, is favored. Interesting.