A Forex trading system based on a genetic algorithm

By Luis Pedro Mendes, Pedro Cortesão Godinho, Joana Matos Dias. 2012

46 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Marcin Hernes
2. Jerzy J. Korczak
3. Maciej Bac

In Management Science and Operations Research

1. Marcin Hernes
2. Jerzy J. Korczak
3. Maciej Bac
4. M. Ugur Gudelek
5. Omer Berat Sezer
6. A. Ozbayoglu

Citations in the corpus

• Deep learning for financial time series forecasting in A-Trader system (2017, methodology): “The proposed prediction models use, for example, genetic algorithms [1], fundamental and technical analysis [2,3,4,5], neural networks and neuro-fuzzy computing [6], behavioral techniques [7].”
• Fundamental analysis in the multi-agent trading system (2016, methodology): “Dias [2] use genetic algorithms to perform analysis on the basis of historical quotations.”