Astor, have you backtested successfully any NNN strategy? Can you share its
results??

cheers

On Fri, Feb 25, 2011 at 4:20 AM, Astor <[email protected]> wrote:

> 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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