What you propose is in sample fitting and so bad. Sorry
GAT
So does one have parameters magically set themselves when the market changes? How is that any different than that same person eyeballing parameters if it's done in a predictable fashion?
What you propose is in sample fitting and so bad. Sorry
GAT
Yes it matters. A strategy earning 10% with 1% costs is a lot safer than one earning 60% with 51% costs because costs are certain and returns aren't.
You MUST know your costs or you can't analyse your returns properly. And we can't help you check to see if your costs are realistic.
GAT
So does one have parameters magically set themselves when the market changes? How is that any different than that same person eyeballing parameters if it's done in a predictable fashion?
So does one have parameters magically set themselves when the market changes? How is that any different than that same person eyeballing parameters if it's done in a predictable fashion?
I think I just had an orgasm reading this. Very clear, thank you. Feel like plugging your class? Is it online? I'd attend.
To answer your questions: this isn't a "holy grail", I know it would need tweaking as markets change. The relevant inputs are "100" and "200" and "0" just from intuition looking at recent markets. I've had this idea in my head for the last year, which is why I was able to eyeball it reasonably well for the last period. I have not optimized the parameters at all.
What I would really want to know is: can I take a look at what happens in the awkward periods and make an intuitive, correct decision about what the inputs should be.
There are basically 3 dimensions along which this algorithm works, some are more important than the other. It is very likely due to a change in human factors, that one of these changes during the awkward periods. The market-related inputs, I would be wary of changing. The human-related inputs, I think I would have a very good idea.
Trying it out now...