ML method for stock portfolio optimization?

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Hi everyone:

I'm doing a Master's project on portfolio optimization, and we're trying to list a couple of machine learning methods (like SVP etc.) that work for portfolio optimization before we start. Can anyone suggest a few methods that can work in a reasonable way for the topic?

Thanks in advance!
 
Thinking out loud.

1. What's the compelling reason for using ML?
2. What other methods will you compare ML against?
3. Have you a contingency plans if ML falls shorts?

Just saying.
 
Thinking out loud.

1. What's the compelling reason for using ML?
2. What other methods will you compare ML against?
3. Have you a contingency plans if ML falls shorts?

Just saying.
The topic of the project is ML for portfolio optimization. We are comparing to the same project that a student group in previous year did. The contingency plan would be just concluding "Oh see, this method doesn't work..."All we need to do in this one is to try a couple of...
 
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