Da, I have built quite a few ANN models. Several of them had been (and I think 
still are) used to manage portfolios with AUM in tens of billions. Let me save 
you some time  - if you are going to optimize thousands of parameters, you will 
most definitely overfit the data. Your model will perform spectacularly in the 
backtest and will fail in actal trading.

I can give you a litany of other problems that you will encounter. You will 
have 
no clue whether your forecasts come from densely or sparsely populated sample 
space, i.e. confidence intervals of your forecasts will vary greatly. When your 
model fails, you will not know if it is part of normal operation or if there 
has 
been a structural shift.

If you are determined to explore non-linear interactions for prediction, you 
will get much more consistent and much more intuitive results using N-nearest 
neighbor algorithm. NNN has no parameters to optimize, requires no training 
and can be updated in real time - which is very important for HFT.  As long as 
your original hypothesis for your model makes sense, you will be able to 
understand the basis for the predictions.

Good luck.



________________________________
From: Da Xu <[email protected]>
To: [email protected]
Sent: Thu, February 24, 2011 6:41:18 PM
Subject: Re: [JBookTrader] Poll for new features



As I posted before, I woud like to develop artificial neural networks strategy 
on JBT. We have to add thousands of parameters and change the optimization 
class. I have been focusing on this project for a couple of months.  Are there 
anyone that is interested in ANN strategy?

Da



On Wed, Feb 23, 2011 at 3:19 PM, nonlinear <[email protected]> wrote:

Do JBT users have a "wish list" for the new JBT features/functionality? If so, 
please post them here.
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