Has anyone used AI or ML, etc to optimize Renko Brick Sizes?

I am trying to integrate Auto sizing of my renko bricks, but I am trying to think outside of using the ATR to do this. I am wondering what others may be using?
 
I would stay clear of ML for now - but if you insist, you can plug into Azure very easily from Excel 365.

I personally use Excel's Solver.
 
I would stay clear of ML for now - but if you insist, you can plug into Azure very easily from Excel 365.

I personally use Excel's Solver.

Nice. Not many appreciate the power of optimization packages. Have you tried any other solvers/optimizers other than Excel's/Frontline's?
 
Nice. Not many appreciate the power of optimization packages. Have you tried any other solvers/optimizers other than Excel's/Frontline's?

I only use the optimiser for asset allocation (and not pricing or stock picking). It's a calibration exercise. The standard solver is more than enough (but I add multiple prop constraints).
I saw a guy from Google's AI the other day who said that ML starts making sense above 10mil data points
 
Gotcha.

I saw a guy from Google's AI the other day who said that ML starts making sense above 10mil data points

Lol ... well ... I'm sure ... it depends. :)

(Also, I'm sure there's some bias involved in making such a general statement. I figure ... this guy only works with 10 mil+ data points in his occupation.)

____________
"To a carpenter, everything is a nail."
 
Gotcha.



Lol ... well ... I'm sure ... it depends. :)

(Also, I'm sure there's some bias involved in making such a general statement. I figure ... this guy only works with 10 mil+ data points in his occupation.)

____________
"To a carpenter, everything is a nail."

You're welcome.
 
I will have less than 10 Data points. So I trade an Algo on Renko Bars and I adjust the brick sizes manually by making it a percentage of its Daily ATR. But when I get an Odd number, like "7" I round it up to 8, but I also will round it to 6 if the chart looks like it will accommodate the strategy better. Lately, I have been running a chart with 6,7 and * brick sizes and I was wondering if there was a way to have AI learn what's best for the strategy and to start selecting whether or not a 6 Brick chart would be better than an 8 Brick chart.

So this prompted me to see if anyone has experimented with auto adjusting Brick sizes using some advanced programming techniques for discovery of the optimum Brick size.
 
I would stay clear of ML for now - but if you insist, you can plug into Azure very easily from Excel 365.

I personally use Excel's Solver.

I am not a programmer, but I understand the processes. How sophisticated can a Solver get? From my understanding, Neural Style Nets can uncover information you may not be able to detect using conventional methods.
 
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