Original Blog Entry: Another coding session...

hypersoniq — Wed, 12 Mar 2025 19:18:52 GMT

Today I altered the follower script to both allow for a draw offset (so it can match the offset of the hot/cold script) and to limit the draws to the number entered so it can deal with shorter term trends as well. It was a bit more difficult than anticipated because the follower program is a bit more complex. Getting the function to run with a limited set of draws and make it ignore the offset when set to 0 was one of the easier parts. The code ran every time, but the offsets were wrong to start (Pandas iLoc hell) and there were remnants of an older experiment in there causing the mismatch. Since I control the input file which is cleaned and free of blanks, there was no need to keep the logic that was dealing with NaNs due to uneven column lengths. Works as expected and now reduced to 70 lines of code!

Now the fun part, to splice the function together with the follower script and look at results to see if any new information can be gained.

So now it gets complex. After many runs I know that the most frequent follower does not necessarily come up in the next draw. Using the short term follower setup, we can restrict the follower data to more recent trends. The hot and cold script will use pure statistics to classify hot and cold numbers. Putting the information together will hopefully lead to a better pick.

The process, look for recurring HNC (hot neutral cold) patterns, then cross reference them with those numbers on the follower list. If it is a recurring pattern of NNN, pick the Ns that did best on the follower lists per column... then play that combo for a week.

Because of the offset, I can see the short term data available AND it's effect against the next number of draws offset. Then, by setting the offset to 0, I can work with all the current info available to make a pick.

Difficult process that again may amount to nothing, but making the changes was enjoyable. I tried as much as possible over the last year or so to adhere to software engineering best practices of modular reusable code and atomic functions, so this is the chance to put it into practice.... [ More ]