Jurnal Sains, Teknologi dan Komputer
Vol. 1 No. 2 (2024): Jurnal Sains, Teknologi & Komputer (SAINTEK)

Perancangan dan Pengujian Kinerja Expert Advisor Berbasis Indikator RSI, MA, dan Optimasi Lot pada 10 Pair Forex Populer dengan Akun Swap-Free

Nasution, Mutiara Akbar (Unknown)



Article Info

Publish Date
30 Sep 2024

Abstract

This study aims to test the performance of an Expert Advisor (EA) based on the Relative Strength Index (RSI), Moving Average (MA), and lot optimization on 10 popular forex pairs using a swap-free account. The EA is designed to operate on the MetaTrader 5 platform, utilizing historical data from 2021 to 2024. The study employs a backtesting method to assess EA effectiveness across various market conditions. Results indicate that the EA performs best on lower volatility pairs, such as USDCAD and GBPUSD, showing positive profitability and controlled risk ratios. However, suboptimal performance is observed on high-volatile pairs such as GBPJPY and EURJPY. These findings highlight the importance of tailoring EA strategies to pair volatility characteristics to enhance profitability and risk management.

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Journal Info

Abbrev

SAINTEK

Publisher

Subject

Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

Jurnal SAINTEK adalah singkatan dari Sains, Teknologi dan Komputer, yang diterbitkan oleh Lembaga Riset Mutiara Akbar (LARISMA), merupakan jurnal ilmiah yang berfungsi sebagai media mengkomunikasikan ide, gagasan dan pemikiran seputar kajian aktual tentang sains, teknologi, komputer dan manajemen IT ...