Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -

Design and Implementation Of Expert Advisor on Percentage Risk Money Management Using Supertrend and RSI Indicators on the USD/SGD Pair in MetaTrader 5 : Penelitian

Rehulina Dahinta Ketaren (Unknown)
Haikal Rahman (Unknown)
Dita Eka Pertiwi Sirait (Unknown)



Article Info

Publish Date
22 Jul 2025

Abstract

This research designs and evaluates an Expert Advisor (EA) for trading by automating a strategy based on the Supertrend and RSI indicators, integrated with a Percentage Risk Money Management system. Using a Research and Development method with the Agile-Scrum model, the EA was implemented on MetaTrader 5 for the USD/SGD currency pair. It was tested through a five-year backtest (2020-2025) and a one-month real-time test on the H1 and H4 timeframes. The results show that the EA was able to generate profit on both timeframes, with optimal performance on H4 (profit factor of 1.69, maximum drawdown of 7.92%), while H1 showed profitability with higher risk (maximum drawdown of 16.97%). The EA successfully identified market trend direction and momentum objectively while applying disciplined risk management through dynamic lot sizing, stop loss, and take profit. The research concludes that the integration of Percentage Risk Money Management with the Supertrend and RSI indicators within an EA is an effective approach for automating USD/SGD trading, offering practical contributions to systematic risk management and academic contributions to the development of algorithmic trading systems.

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Journal Info

Abbrev

jerkin

Publisher

Subject

Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

Description

Jurnal Pengabdian Masyarakat dan Riset Pendidikan is a journal on Faculty of Education. Jurnal JERKIN: Jurnal Pengabdian Masyarakat dan Riset Pendidikan is under the auspices of the Faculty of Education, Universitas Pahlawan Tuanku Tambusai. The journal is registered with E-ISSN: 2961-9890. Jurnal ...