The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Problem on forex prediction using neural netwoork
cicciospice
Member Posts: 3 
Contributor I
Hi all,
I would use some historical data on Forex (in my example I'm using EURUSD data) in order to predict future price oscillations.
What I have is 4 different prices: Open, Close, HIgh, Low per hour, starting from december 2012 until today, so a very large amount of data.
What I tryed to do is starting from 30 samples, in order to predict following 6 samples, so I used windowing and I setted up operator with a window of "30" and an orizion of 6.
After several hours, Rapidminer crashes and I don't see any result.
I have a CSV file, correctly imported, with label on "date" column, and after windowing I see Close-30...Close-0, High-30...High-0 and so on, on y spreadsheet. Then I use a neural network but I don't change any parameter on it, so my forst question is: how many layers I should have? ???
Maybe is better to have 4 different Neural Networks, instead of a big one with so many inputs?
Should I try to reduce input and try a dufferent window size (15, or 10)?
Any suggestion is very appreciated!
Francesco
I would use some historical data on Forex (in my example I'm using EURUSD data) in order to predict future price oscillations.
What I have is 4 different prices: Open, Close, HIgh, Low per hour, starting from december 2012 until today, so a very large amount of data.
What I tryed to do is starting from 30 samples, in order to predict following 6 samples, so I used windowing and I setted up operator with a window of "30" and an orizion of 6.
After several hours, Rapidminer crashes and I don't see any result.
I have a CSV file, correctly imported, with label on "date" column, and after windowing I see Close-30...Close-0, High-30...High-0 and so on, on y spreadsheet. Then I use a neural network but I don't change any parameter on it, so my forst question is: how many layers I should have? ???
Maybe is better to have 4 different Neural Networks, instead of a big one with so many inputs?
Should I try to reduce input and try a dufferent window size (15, or 10)?
Any suggestion is very appreciated!
Francesco
0
