Best List Of Ten Billion Observations Tested: aka BLOT BOT

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Gotta give a new system a name, with that the acronym BLOT BOT jumped out. That is 10 billion observations per column of 28 columns across entire draw histories, and the core developments have already begun. 

The biggest decision now is whether to pick up a Raspberry PI 5 or to run it on the cloud.

I have what I call a $5 server on a could plan that costs around $5 a month. Mostly used for different python script testing. I wrote a script that took samples every minute of the network fees on the Stellar cryptocurrency blockchain for an entire week. The usage was about $3. The results gave an interesting set of data about fee spikes, so if you were to do transactions, you could see when the cheapest times of day were.

I may go either way, but I kind of want to get a raspberry pi 5 anyway, to practice web development on the back end as well. I have a pi 3 that I used as a server for some ruby on rails tutorials. 

Actually, the divide and conquer approach could be employed... run the day games on the PI and the night games on the server! Will cut the run time in half!

Currently working on the list iteration part, the use of pandas data frames from the follower system will handle the data storage for the history files.

One internal recursive function will handle the iterations and top 5 lists, and another will process each column for the zero counts.

Running from the command line will allow the print function to overwrite and stay on one line, that way for the status it will show the currently processed column and list, so when I monitor the output I can figure out the progress.

Long road ahead, but the wheels are currently turning!

As my favorite sidekick ChatGPT says at the end of every session... Happy Coding!

Entry #273

Comments

Avatar hypersoniq -
#1
The order of processing in batches will be set ahead of the actual test as well. Since the goal this year is the pick 5, we will start there.
Planned PA batch runs...
Pick 5 Mid
Pick 5 Eve
Pick 3 Mid
Pick 3 Eve
Pick 2 Mid
Pick 2 Eve
Pick 4 Mid
Pick 4 Eve

The program structure seems sound. My framework of a recursive algorithm calling another recursive algorithm was fast and functional for the follower data, and the top list retention rather than store them all means the memory will not be taxed, therefore the Raspberry PI 5, in a kit that includes a case with a cooling fan and a 128GB microSD card, with 8GB of onboard RAM should be more than enough to run the entire research project. I decided adapt the algorithm to store the top 10 lists.

I am going to skip the online server option as in the end the Pi 5 will be cheaper.

Now if I could only come up withba strategy for the jackpot games...

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