Quote from mickson:
Ok so I am a bit of a dummy when it comes to posting pics in a nice format.![]()
The truth be told I have purposefully tried to "load" the overall portfolio to try and stress test the bot. So yes it can be argued that these returns are random.
Having said that I got off to an immediate drawdown and was very interested to see how long it would take to comeback. What becomes apparent while giving high commands to the bot, is that it tends to behave in a relatively mechanical way, which is of course what you would expect as it has been hard coded. That is not to confuse it with saying that it is predicting the market.
I don't think that I could necessary do justice to a descriptive narration of the PNL behaviour as I clearly dont have those facts, this is a black-box. However, I will say that from an intuitive point of view one can anticipate certain aspects of the model and how it will react.
Tom is clearly holding some cards back which I compliment him for doing as the process of actually trading the bot is where the learning takes place, and I am not sure there is a simple explanation for its behaviour.
In conclusion, I have set myself a new goal, and that is to firstly maintain my current profits, and secondly to grow them but at a more steady and modest pace. So I guess one can expect a reduction in the leverage, through the next drawdown phase. We will need to wait and see.
Compliments, my general ! ;-))
try also to use the discretionary bounds weapon, when appropriate. I think those can sometimes save from major drawdowns (when price approach low/bottom of range).
I have created another variant of ultraflat, more frequent, (say "flat") which i am now testing
I am now also adding some new rules at folio level (open positions, correlations, etc.), so that small capital investor can reduce the global exposition.
PS.
[ i use sometimes the width="1200" attribute in the img tag ]
