Quote from mind:
harry
i have to decide whether i will look at any of your posts ever again (sorry for sounding harsh). i like out of the box thinking, but it must make sense in the end. feynman himself, if i got him correctly, was very willing to think out of the box, but very unwilling to do so if there was no good reason. this is the point i try to make here. are your numerous research projects backed by performance or not. does the effect you describe in this thread hold in backtesting at least or not.
my experience in trading is that whatever sounds great usually does not work.
please shed some light on this issue. tell me the sharpe ratio of your trading or your tests. (and maybe avoid discussing the weaknesses of SR - you know normal distributions and so forth).
again sorry for being a little ... well ... agressive? but in principle i like so much what you are bringing up, and i am always frustrated since it seems to lead nowhere. finally i do not learn anything useful for trading. maybe i have to dig deeper, but for that i need stronger indication that you are not just promoting yourself or are just posting for the sake of it.
peace
"I have to decide ..." you're the King of Yourself I will accord you the right to decide what you want
"my experience in trading is that whatever sounds great usually does not work": you're right it is a conservative approach now to
pretend that your experience is universal is another thing. And why does it sounds great ?
Did I claim so ? Just look at the model's number yourself (I remind they are calculated 24h in advance so no curve fitting
even if you try to curve fit I wish you good luck

) : you should know that statistically with a stochastic model it is impossible to predict top and bottom within two points of precision so I let you conclude yourself if it sounds great or not.
That's why my model can't be a stochastic model but a deterministic one. Moreover what my model pinpoints implicitly is that the BELIEF by many into a CHAOTIC STATE is a MYTH because it was in such state a deterministic model won't be able to make prediction. In fact the Lyapounov exponent has been demonstrated including by academic researchers to be too low for exhibiting chaos state so this confirm my claim above (a deterministic but non linear system is not obliged to be in a chaos state see the short tutorial on attractor in chaos theory
http://www.elitetrader.com/vb/showthread.php?s=&postid=335367&highlight=attractor#post335367). But they have made the false conclusion or rather hypothesis, although reasonable at first since they don't know the true model, that this could mean that the market is not deterministic because they thing that such volatility can only come from chaos state but it doesn't come from chaos state it does come from the intrinsic deterministic equation itself. And so they continue with stochastic models with poor prediction power although they included long term memory effect in model like arima's model.
"tell me the sharpe ratio": first the sharpe ratio is just the basic CV in quality control - since I've been statistical process control engineer (or SPC). CV = standard deviation of measure/mean of measure. This ratio can be calculated without restriction since it's just a formula. But it doesn't mean than you can make statistical inference upon it and it is not used as for the real purpose of risk control in quality field where it is not the CV that allows to control the process but the limit controls of mean and variance so I don't attribute much utility to the CV and so to the sharpe ratio. Also I'm sorry to tell you that if there is something that is important in spc is the normality assumption because it is statistical nonsense or at least it is dangerous to make inference when it is not the case.
As said here the method requires that the candidate process fulfills some requirements:
http://www.1stnclass.com/spc_tutorial.htm
"Tutorial Statistical Process Control for the Non-Statistician:
CANDIDATE PROCESSES
This method will only be useful for high-volume (>60 pcs / hr) manufacturing processes. The process must be automatic, or at least semi-automatic, such that the human component has little or no effect on the outcome we are going to address. In other words, machinery/tooling needs to produce the actual characteristics we wish to control, not the way an operator loads a fixture, for example."
So that's what I am aiming to do now: fully automate the trading process because without that it is not reliable to claim any high statistics based on personal choice. So when it will be done I would make claim about sharpe ratio (although I won't be willing to trumpet it to too much people, today I can claim I know you don't believe it so it's not a problem

) if you want although as I said it is useless for controlling
a process especially high skewed one. My interest is rather to predict and garantee statistically speaking a performance and a risk in the future and not in the past: who is interested by the past ? And to garantee future means that you must be able to make prediction or you are not able to prove rigourously if it is by chance that you make such or such performance. Let's take Larry William who made 10000% you would pretend that it is due to chance then it is funny that for 1000% and of course much lower people just don't apply the same doubt. So if I claim high performance like xxx% it will be in the case of a fully automated system where there is no human interaction. The automation has now been engaged under the form of decision tree tool it is not finished yet but it is partioned in modules so statistics should be collected by module.