Case based reasoning approach for transaction outcomes prediction on currency markets
This paper presents a case based reasoning approach for making profit in the foreign exchange (forex) market with controlled risk using k nearest neighbour (kNN) and improving on the results with neural networks (NNs) and a combination of both. Although many professionals have proven that exchange r...
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| Main Authors: | , , , , |
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| Format: | Default Conference proceeding |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5885 |
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