Comments on: Parameter Optimization in Rapidminer 5.0

By: Tom

Tom — Tue, 13 Jul 2010 19:40:05 +0000

@Istvan: The UP/DOWN/SIDEWAY tags I assigned based on a visual inspection of the time series data. I was interested to see what the trends break so I looked at the peaks and valley’s of the price action.

By: Istvan Pintye

Istvan Pintye — Tue, 06 Jul 2010 14:48:14 +0000

Helo Tom,
I’ve learned statistic, I’ve studied your post, but my
question is, why did you chose this kind of output variable?

Is it useful, for predict the future? for recognize the
current trend? or?

I mean is there any sense to predict (estimate) the
current state of the price? (DOWN, UP, SIDEWAY)
or the next one?

Could we create a profitable strategy with this kind of
method?

How long should I hold a long position after an UP
prediction?

Or I’ve missed something, that is why I wrote my
questions, (( not for attack your great and helpful
work)

// ps.: sorry for my English (I am Hungarian)

Best wishes
Istvan Pintye

By: Amit Bhagat

Amit Bhagat — Tue, 06 Jul 2010 05:51:04 +0000

Hey Lots of Thanks to you for the valuable Information you had shared with us.

By: cleo

cleo — Thu, 13 May 2010 21:00:09 +0000

Hello Tom,

Thanks for the response. My setup does has a select subprocess operator which contains a few different svm, and nn configurations but as you said it takes up alot of computer power.

I am curious about your inputs? Could you please let me know what features you used, ie moving average, open, close price, etc… and for which instrument and timeframe?

Thanks again for the videos, and i hope you enjoy your summer vacation.

cheers,
Cleo

By: Tom

Tom — Thu, 13 May 2010 20:49:27 +0000

@Cleo: It depends on the task at hand, in some cases NN’s work better than SVMs. You can let the parameter optimization figure out which one is best, but it requires time and computer power.

By: Cleo

Cleo — Fri, 07 May 2010 01:06:56 +0000

Congrats on the impressive performance.

What data did you use? and what are the inputs?

Also are you finding Neural Nets to be more accurate then SVMs?

Thanks,
Cleo