Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Rehulina Dahinta Ketaren
Unknown Affiliation
Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
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; Haikal Rahman; Dita Eka Pertiwi Sirait
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.1807

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.
Co-Authors Dita Eka Pertiwi Sirait Haikal Rahman