Predict Stock Market Values

Posted by mrlinx on Stack Overflow See other posts from Stack Overflow or by mrlinx
Published on 2010-01-01T23:17:04Z Indexed on 2010/05/22 23:40 UTC
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artificial-intelligence

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neural-network

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stocks

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prediction

I'm building a web semantic project that gathers the maximum ammount of historic data about a certain company and tries to predict its future market stock values.

For data I have the historic stock values (not normalized), news (0 to 1 polarity) and subjective content (also a 0 to 1 polarity).

What is the best AI system to train and use for this kind of objective? Is a simple NN with back-propagation training the best I can hope for?

update: Everyone is concerned about the quality of this system. Although I'm pretty sure the system is as good as a random prediction (or even worse), this is a school project around artificial intelligence and web semantics. Therefore I'm only concerned in picking the best kind of train method for the data I have (NN, RBF, SVM, Bayes, neuro-fuzzy, etc). Its not about making money.

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