Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Practical Issues in Temporal Difference Learning
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neuro-Dynamic Programming
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Intraday FX Trading: An Evolutionary Reinforcement Learning Approach
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Computational learning techniques for intraday FX trading using popular technical indicators
IEEE Transactions on Neural Networks
Learning to trade via direct reinforcement
IEEE Transactions on Neural Networks
Interday foreign exchange trading using linear genetic programming
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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Foreign exchange trading has emerged recently as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process will be very helpful. A major issue for traders in the deregulated Foreign Exchange Market is when to sell and when to buy a particular currency in order to maximize profit. This paper presents novel trading strategies based on the machine learning methods of genetic algorithms and reinforcement learning.