Developing an Optimal Financial Trading System Using Artificial Intelligent Techniques
published by Aِl-Baath University
in 2018
in
and research's language is
العربية
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Abstract in English
In this paper, it has
merged two techniques of the artificial intelligent, they are the
ants colony optimization algorithm and the genetic algorithm, to
The recurrent reinforcement learning trading system
optimization. The proposed trading system is based on an ant
colony optimization algorithm and the genetic algorithm to
select an optimal group of technical indicators, and fundamental
indicators.
References used
J. Moody and M. Saffell, “Reinforcement Learning for Trading Systems and Portfolios,” Kdd, pp. 279–283, 1998
G. Molina, “Stock Trading with Recurrent Reinforcement Learning ( RRL ),” Direct
J. Cumming and L. Dickens, “An Investigation into the Use of Reinforcement Learning Techniques within the Algorithmic Trading Domain,” 2015