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2017 | OriginalPaper | Buchkapitel

Collective Intelligence Supporting Trading Decisions on FOREX Market

verfasst von : Jerzy Korczak, Marcin Hernes, Maciej Bac

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

The aim of the paper is to present an approach to support decision-making on financial markets using an idea of collective intelligence implemented as a multi-agent system, called A-Trader. A-Trader is integrated with the Meta Trader system which provides online data, including ticks of any securities, goods or currency pairs. Many of the implemented agents apply AI methods, communicate their trading advices to the supervisor that integrates all information and suggests the trading decision. The first part of the paper presents the architecture and functionalities of A-Trader. The structure and functionality of the agents and approach to the building of the trading strategies are detailed. The last section describes the results of the performance evaluation of selected trading strategies on FOREX.

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Metadaten
Titel
Collective Intelligence Supporting Trading Decisions on FOREX Market
verfasst von
Jerzy Korczak
Marcin Hernes
Maciej Bac
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-67074-4_12