Neural Network Models & Inputs

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3nore
3nore 2013-2-20
Hi, I want model stock prices using neural networks with functions (such as market indicators) I can optimize. Can you tell me where I can research how to do this?
E.g. of Market Indicators I will use - SMA, Williams' %R, St. Deviation, MACD You could make an e.g. to show me if you like. I wouldn't mind that, lol!
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Greg Heath
Greg Heath 2013-2-21
What do you have in the way of inputs and targets (i.e, desired outputs).
3nore
3nore 2013-2-26
I don't have any particular desired inputs or desired outputs. I just want to know how it is done.

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回答（1 个）

Ken
Ken 2013-2-25
You can use a SOM to figure out which parameters are correlated with your output. Then take those parameters to create a NN.
I.E. Create a SOM with SMA, Williams' %R, St. Dev, MACD, and Price. Check the weight planes to see which match with price. Then use those as inputs to a NN (perhaps pattern recognition) with Price as the target.
You will need a good amount of data to do this accuratly.
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Greg Heath
Greg Heath 2013-3-6
It is usually better to output change in price instead of price itself.
3nore
3nore 2013-3-6
Hi Ken, Can you give me a code to show me exactly how you do this? I am new to programming and matlab

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