Hi all,
I have been playing with an opening gap strategy that is marginally profitable in live trading this year so far.
However, against my expectations, it is not profitable at all on optimisation in zorro.
I think this may be due to the fact that there is no real edge to it, but I'm suspicious that the optimisation is a little too simplistic.
My understanding is that the first parameter is optimised first, before moving on to optimising the second, and subsequent parameters.
This presupposes that you know in advance which parameter will have the greatest effect on the strategy. I don't know how other than gut feel you would know that.
It also assumes that there is one cluster in the first parameter leading to superior profitability. There may however be 2 or more clusters that are profitable depending on the correct parameters in the other variables. Yet in my current understading these clusters will not be tested.
The gap trading strategy for example may (probably not!) have profitabilty clusters with a close target far stop and small gap threshold giving a high win rate but low risk reward or it may be profitable with a tight stop, high risk reward and a high threshold.
I'm currently manually live trading it somewhat successfully with a 2:1 risk reward, medium threshold and full gap close target. I was hoping that zorro's optimisation would identify a cluster of more profitable parameters, but I now think it cannot optimise across the full spectrum of the parameters, due to its sequential optimisation, or maybe I simply don't understand how the optimisaiton works.
Any help anyone?