TY - GEN
T1 - Integrating Grid Template Patterns and Multiple Committees of Neural Networks in Forex Market
AU - Goumatianos, Nikitas
AU - Christou, Ioannis
AU - Lindgren, Peter
PY - 2015
Y1 - 2015
N2 - We present a hybrid framework for trading in Forex spot market by integrating two different technologies: price patterns based on an array of grid template methods and multiple committees of neural networks. This integration is applied in four currency pairs (EUR/JPY, EUR/USD, GBP/JPY and GBP/USD) using data of a 20 min timeframe. In this research we examine two different fusion approaches for Forex trading: the first one is based on price pattern discovery methods and committees of neural networks as independent entities and works by assigning one entity as basic signal provider and the other as filtering system. The second approach is to take price pattern properties (e.g. forecasting power values) together with technical indicators to feed and train the neural networks. Results show that in both approaches, integration of these independent technologies can improve the trading performance by bringing higher net profits and less risk.
AB - We present a hybrid framework for trading in Forex spot market by integrating two different technologies: price patterns based on an array of grid template methods and multiple committees of neural networks. This integration is applied in four currency pairs (EUR/JPY, EUR/USD, GBP/JPY and GBP/USD) using data of a 20 min timeframe. In this research we examine two different fusion approaches for Forex trading: the first one is based on price pattern discovery methods and committees of neural networks as independent entities and works by assigning one entity as basic signal provider and the other as filtering system. The second approach is to take price pattern properties (e.g. forecasting power values) together with technical indicators to feed and train the neural networks. Results show that in both approaches, integration of these independent technologies can improve the trading performance by bringing higher net profits and less risk.
KW - Committee of Neural Networks
KW - Forex Market
KW - Price Pattern Discovery
KW - Template Grid Method
KW - Trading Strategies
UR - http://www.scopus.com/inward/record.url?scp=84940941043&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-18476-0_25
DO - 10.1007/978-3-319-18476-0_25
M3 - Article in proceeding
AN - SCOPUS:84940941043
SN - 978-3-319-18475-3
VL - 347
T3 - Advances in Intelligent Systems and Computing
SP - 247
EP - 256
BT - Artificial Intelligence Perspectives and Applications
A2 - Silhavy, Radek
A2 - Senkerik, Roman
A2 - Kominkova Oplatkova, Zuzana
A2 - Prokopova, Zdenka
A2 - Silhavy, Petr
PB - Springer
T2 - 4th Computer Science On-line Conference, CSOC 2015
Y2 - 27 April 2015 through 30 April 2015
ER -