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Trading Orders Algorithm Development: Expert System Approach

Trading Orders Algorithm Development: Expert System Approach

Bronislav Klapuch
Copyright: © 2017 |Pages: 20
ISBN13: 9781522505655|ISBN10: 1522505652|EISBN13: 9781522505662
DOI: 10.4018/978-1-5225-0565-5.ch005
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MLA

Klapuch, Bronislav. "Trading Orders Algorithm Development: Expert System Approach." Pattern Recognition and Classification in Time Series Data, edited by Eva Volna, et al., IGI Global, 2017, pp. 107-126. https://doi.org/10.4018/978-1-5225-0565-5.ch005

APA

Klapuch, B. (2017). Trading Orders Algorithm Development: Expert System Approach. In E. Volna, M. Kotyrba, & M. Janosek (Eds.), Pattern Recognition and Classification in Time Series Data (pp. 107-126). IGI Global. https://doi.org/10.4018/978-1-5225-0565-5.ch005

Chicago

Klapuch, Bronislav. "Trading Orders Algorithm Development: Expert System Approach." In Pattern Recognition and Classification in Time Series Data, edited by Eva Volna, Martin Kotyrba, and Michal Janosek, 107-126. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0565-5.ch005

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Abstract

The chapter puts into the business of financial markets area in greater detail at FOREX currency market. It describes the main methods used for in currencies trade. The main goal of this paper is to explain the principle of creating an Automated Trading System (ATS) with the MQL4 language. The chapter shows concrete architectural elements of the program on the demonstration examples and it is a guide for the development of an ATS. The main benefit is creation of the original trading system, which optimizes an ATS usage on the base of historical data in practice. Optimization of the trading parameters is based on the equity performance in the historical periods.

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