Trading foreign currency using artificial neural network strategies
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Standard Standard
Proceedings of the International Conference on Neural Computation Theory and Applications. ed. / K Madani. Germany: Springer, 2011. p. 163-167.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Trading foreign currency using artificial neural network strategies
AU - Vanstone, Bruce
AU - Finnie, Gavin
N1 - International Conference on Neural Computation Theory and Applications, NCTA 2011 ; Conference date: 24-10-2011 Through 26-10-2011
PY - 2011
Y1 - 2011
N2 - The foreign exchange (FX) markets represent an enormous opportunity for traders. These markets have huge liquidity, trade 24 hours a day (except weekends), and allow the use of leverage. This paper takes a simple FX trading strategy and shows how to substantially improve it, using a neural network methodology originally developed by Vanstone & Finnie for creating and enhancing stockmarket trading systems. This result demonstrates the important role neural networks have to play within complex and noisy environments, such as that provided by the intraday FX markets.
AB - The foreign exchange (FX) markets represent an enormous opportunity for traders. These markets have huge liquidity, trade 24 hours a day (except weekends), and allow the use of leverage. This paper takes a simple FX trading strategy and shows how to substantially improve it, using a neural network methodology originally developed by Vanstone & Finnie for creating and enhancing stockmarket trading systems. This result demonstrates the important role neural networks have to play within complex and noisy environments, such as that provided by the intraday FX markets.
M3 - Conference contribution
SN - 9789898425843
SP - 163
EP - 167
BT - Proceedings of the International Conference on Neural Computation Theory and Applications
A2 - Madani, K
PB - Springer
CY - Germany
ER -