Multi-Agent Forex Trading System

Author:

Barbosa Rui Pedro,Belo Orlando

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Lee, R.: iJADE stock advisor: an intelligent agent based stock prediction system using hybrid RBF recurrent network. IEEE Transactions on Systems, Man and Cybernetics 34(3), 421–428 (2004)

2. Kimoto, T., Asakawa, K., Yoda, M., Takeoka, M.: Stock market prediction system with modular neural networks. In: 1990 International Joint Conference on Neural Networks, vol. 1, pp. 1–6 (1990)

3. Lecture Notes in Computer Science;Y. Kwon,2003

4. Franses, P., Griensven, K.: Forecasting exchange rates using neural networks for technical trading rules. Studies in Nonlinear Dynamics and Econometrics 2(4), 109–114 (1998)

5. Lu, H., Han, J., Feng, L.: Stock movement prediction and N-dimensional inter-transaction association rules. In: 1998 ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, pp. 1–7 (1998)

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