Neural Network Models & Inputs
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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!
2 个评论
Greg Heath
2013-2-21
What do you have in the way of inputs and targets (i.e, desired outputs).
3nore
2013-2-26
回答（1 个）
Ken
2013-2-25
0 个投票
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.
2 个评论
Greg Heath
2013-3-6
It is usually better to output change in price instead of price itself.
3nore
2013-3-6
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