Hello,
I was wondering if I could seek some systems and methods insights/ input from some of the most knowledgeable members on LP in terms of applying VTRACS optimally.
Basically I have a few methods that are very effective that have to do with " stable pattern clustering" in datasets.
Whats consider "stable" are pattern clusters which hold their structure for ex..
546-465-564 may all form as stable clusters within my data as in "staying together" where as non stable would be something like 54326- 4865-5264 where the clusters break apart.
What I find is that the pattern clusters that remain stable (boxed + straight) + stable pattern clusters which have vtrac relationship are INCREDIBLY POWERFUL INDICATORS within my custom data..
I am therefore trying to consider what may be some ideal ways to take advantage or optimize this on a more advanced level?
for example I know you can consider "vtrac straights" as each v-trac positionally has 8 vtrac combos per permutation..
and within my data stable patterns which remain stable permutation wise ex. 546-546-546-091-596
Are also strong indicators. So thats one way to approach it.
I am wondering if anyone may have some additional tips on how I may take advantage of VTRACS if not in my specific application then within systems in general in a similar way I may not be considering?
Any feedback or insights are appreciated very much, Thank you! :)
