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All Journal IKRA-ITH EKONOMIKA Jurnal Teknologi Informasi dan Pendidikan EKSISBANK (Ekonomi Syariah dan Bisnis Perbankan) JURNAL EKONOMI SYARIAH Jurnal Graha Pengabdian JUKESHUM: Jurnal Pengabdian Masyarakat eProceedings of Management Economic: Journal Economic and Business
Rahman, Haikal
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Nursing Public Health Social Sciences Other

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PENGEMBANGAN DAN OPTIMASI EXPERT ADVISOR BERBASIS INDIKATOR RSI-MA DENGAN ADAPTIVE RISK MANAGEMENT PADA PAIR XAU/USD: STUDI KASUS AKUN CENT BROKER LITEFOREX DI METATRADER 5 Aruan, Mario Timoti Manupak; Rahman, Haikal; Syah, Dedy Husrizal
IKRAITH-EKONOMIKA Vol. 8 No. 2 (2025): IKRAITH-EKONOMIKA Vol 8 No 2 Juli 2025
Publisher : Universitas Persada Indonesia YAI

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Abstract

Perkembangan teknologi finansial dalam era Revolusi Industri 4.0 mendorongpeningkatan penggunaan sistem perdagangan otomatis (Expert Advisor/EA) dipasar forex. Penelitian ini berfokus pada pengembangan dan optimasi EA berbasisindikator Relative Strength Index (RSI) dan Moving Average (MA) denganpenerapan Adaptive Risk Management pada pasangan XAU/USD, yang dikenalmemiliki volatilitas tinggi sebagai aset safe-haven. Kajian pustaka menekankankeunggulan RSI sebagai indikator momentum serta MA sebagai penentu tren, yang dipadukan untuk meningkatkan akurasi sinyal. Metode penelitian menggunakanpendekatan Research and Development (R&D) dengan model spiral, meliputi tahapperencanaan, pengembangan, pengujian, dan evaluasi. Data yang digunakan berupadata historis XAU/USD periode 2019–2024 melalui platform MetaTrader 5 padaakun cent LiteForex. Teknik analisis melibatkan backtesting dan forward testinguntuk menilai efektivitas EA berdasarkan profit factor, expected payoff, dandrawdown. Hasil penelitian menunjukkan bahwa kombinasi RSI-MA denganmanajemen risiko adaptif mampu meningkatkan stabilitas performa dan efektivitaspengendalian risiko, meskipun profitabilitas konsisten belum tercapai.Kesimpulannya, strategi ini potensial untuk dikembangkan lebih lanjut denganpenyempurnaan algoritma dan penambahan indikator pendukung
Development of an Automated Trading Strategy Based on VWAP and RVI Indicators for USD/JPY Using MetaTrader 5 on Deriv Broker Fahros, Teguh Fachri; Rahman, Haikal; Sirait, Dita Eka Pertiwi
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1179

Abstract

This study aims to develop and evaluate an automated trading strategy based on an Expert Advisor (EA) integrating the Volume Weighted Average Price (VWAP) and Relative Vigor Index (RVI) indicators for the USD/JPY currency pair. The EA was developed using the MQL5 programming language on the MetaTrader 5 platform and tested through a Research and Development (R&D) approach with a prototyping model. Testing was conducted under two timeframe scenarios (H1 and H4), including backtesting using historical data from 2021 to 2024, and real-time testing from April 22 to May 22, 2025. The backtesting results indicated positive performance with a favorable profit factor, Sharpe ratio, and win ratio, reflecting system stability and profit potential. However, real-time testing revealed decreased profitability due to higher market volatility and unpredictability. An independent t-test showed a significant difference in the balance variable, while profit and total deal trades were statistically insignificant. The findings suggest that combining VWAP and RVI has potential for automated trading systems, but further parameter optimization and the integration of technical filters are required to enhance robustness under real market conditions.
Implementation of an Automated Trading System for XAG/USD Using Donchian Channel and Safe-F Risk Management on MetaTrader 5 Sirait, Andreas Martin Raja; Rahman, Haikal; Syah, Dedy Husrizal
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1186

Abstract

This study aims to develop and evaluate an Expert Advisor (EA) based on the Donchian Channel indicator combined with the Safe-F Money Management strategy for trading the XAG/USD pair using the MetaTrader 5 platform. The EA is designed to capture breakout opportunities while adaptively managing trade size based on account balance. Testing was conducted using two approaches: backtesting with four years of historical data and real-time testing under actual market conditions. The backtesting results indicate that the H1 time frame scenario yielded more stable performance, with a Sharpe Ratio of 1.26 and low drawdown. In contrast, the real-time testing recorded less optimal outcomes, with profit factors below 1 and net losses in both scenarios. These findings suggest that although the EA performs well in simulations, real-time performance is affected by market volatility and execution factors. Therefore, further optimization and broader testing are recommended to enhance the system’s resilience in dynamic market environments.
The Effect Of Macroeconomic Factor On Stock Return Of Pt Unilever Indonesia Tbk Rahman, Haikal; Rizal, Nora Amelda; Kusairi, Suhal
eProceedings of Management Vol. 10 No. 4 (2023): Agustus 2023
Publisher : eProceedings of Management

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Abstract

The indicators of the successful economy is macroeconomic performance. This macroeconomic factors can affectactivities of industry, company and the capital market as well. In 2016-2021, economic growth of all over the worldhas a severe decline, especially in 2019 due to the emergence of the Covid 19 pandemic, one of the sectors that hasexperienced fluctuations is the consumer goods sector, PT Unilever Indonesia is one of the consumer goods sectorcompany that experienced the unusual fluctuate of their company stocks price.This research aims to analyze theimpact of macroeconomic variable such as inflation, interest rates and exchange rates toward the return of acompany's stock. The sample used in this study are data from PT Unilever Indonesia Tbk since periods 2016-2021.The method analysis is the quantitative method by using descriptive and the multiple linear regression analysis.Theresults show that simultaneously the variables inflation, interest rates and exchange rates have an effect on PTUnilever Indonesia Tbk return, partially inflation have an effect on stock returns, while interest rates and exchangerates have no significant effect on stock returns partially, Implication of these findings, investors can utilize thisresearch as a reference for further research using other variables that can influence the return of a company's sharesand also use different objects.Keywords-Macroeconomic Indicators, Stocks Return, Inflation, Interest Rates, Exchange Rates.
IMPLEMENTASI EXPERT ADVISOR BERBASIS BOLLINGER BANDS DAN RELATIVE STRENGTH INDEX DENGAN OPTIMASI DYNAMIC RISK MANAGEMENT: STUDI KASUS PADA PAIR XAU/USD Lingga, Frans Fanca Putra; Rahman, Haikal
IKRAITH-EKONOMIKA Vol. 8 No. 2 (2025): IKRAITH-EKONOMIKA Vol 8 No 2 Juli 2025
Publisher : Universitas Persada Indonesia YAI

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Abstract

Penelitian ini bertujuan untuk merancang, mengimplementasikan, dan mengevaluasi Expert Advisor (EA) yang menggabungkan indikator Bollinger Bands dan Relative Strength Index (RSI) dengan pendekatan Dynamic Risk Management (DRM) berbasis metode percent volatility. EA dikembangkan untuk memberikan strategi trading yang lebih adaptif, khususnya dalam menghadapi kondisi pasar yang sangat volatil seperti pada pair XAU/USD. Metode penelitian menggunakan pendekatan pengembangan model Waterfall, dilanjutkan dengan uji backtesting dan real-time testing menggunakan platform MetaTrader 5 serta data broker FBS. Pengujian dilakukan pada dua time frame (H1 dan H4), dengan evaluasi performa berdasarkan metrik utama trading: profit factor, expected payoff, drawdown, dan recovery factor. Hasil backtesting menunjukkan bahwa strategi ini cukup menguntungkan dengan profit factor 1.35 (H1) dan 1.60 (H4). Namun, pengujian real-time menunjukkan penurunan profitabilitas, dengan kerugian pada kedua time frame, meskipun eksposur risiko tetap rendah. Hal ini mengindikasikan bahwa strategi berjalan efektif pada data historis, namun dipengaruhi oleh faktor eksternal seperti slippage dan sentimen pasar saat diuji secara langsung. Penelitian ini memberikan kontribusi dalam pengembangan strategi trading algoritmik dengan mengintegrasikan DRM yang dioptimasi bersama indikator teknikal untuk pair XAU/USD, sehingga menghasilkan solusi trading otomatis yang lebih dinamis dan terkontrol dari sisi risiko.
Dinamika Pasar Kosmetik Halal Di Sumatera Utara: Analisis Perspektif Konsumen Dan Strategi Produsen Nasution, Akmal Huda; Munthe, Salman; Adhitya, Wisnu Rayhan; Khaira, Imamul; Rahman, Haikal
EKSISBANK (Ekonomi Syariah dan Bisnis Perbankan) Vol 9 No 2 (2025): EKSISBANK (Ekonomi Syariah dan Bisnis Perbankan)
Publisher : STIES INDONESIA PURWAKARTA Dan MES PURWAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37726/xapnwq68

Abstract

The halal cosmetics industry is experiencing rapid growth, driven by increasing consumer awareness, particularly among Millennial and Gen Z consumers. This study aims to present a holistic analysis of the factors driving consumer purchase intention towards halal cosmetics in North Sumatra and to formulate the strategies implemented by producers in response to market dynamics. Employing an explanatory sequential mixed-methods design, the research combines a quantitative survey of 400 Millennial and Gen Z respondents with qualitative in-depth interviews with seven industry stakeholders. The quantitative analysis utilized Partial Least Squares-based Structural Equation Modeling (PLS-SEM), while the qualitative analysis employed thematic analysis. The results from the structural model analysis demonstrate that consumer purchase intention is strongly and directly influenced by two core psychological pillars: attitude toward halal products and consumer trust, with the model's predictive power reaching 72.4%. Positive attitude is significantly shaped by the individual's level of religiosity and adequate halal knowledge. Trust, conversely, is cultivated by consumer perception of product quality, positive brand image, and the formal assurance of halal certification. A crucial finding confirms that the influence of product quality and brand image on purchase intention is fully mediated by the trust variable. Halal cosmetic producers in North Sumatra acknowledge the dual market demands, where halal certification is a basic prerequisite, while superior product quality is a competitive necessity. Furthermore, digital marketing via influencers and electronic word-of-mouth (e-WOM) is highly effective in building brand image, yet it does not directly foster deep trust, indicating the fragility of digital reputation if not supported by strong product substance. The most significant operational challenge lies in maintaining the integrity and traceability of the halal supply chain from upstream to downstream. The main conclusion of this study is that success in the modern halal cosmetics market demands an integrated strategy that moves beyond regulatory compliance, focusing consistently on enhancing product quality and supply chain transparency to build authentic and sustainable consumer trust.
Co-Authors Adhitya, Wisnu Rayhan Akmal Huda Nasution, Akmal Huda Aprinawati, Aprinawati Aruan, Mario Timoti Manupak Dedy Husrizal Syah, Dedy Husrizal Fahros, Teguh Fachri Fitri, Anisa Ghifari, Izhar Ginting, Lukas Destria Putra Haryadi - Imamul Khaira Lingga, Frans Fanca Putra Maya Oktora Mukti Hamjah Harahap, Mukti Hamjah Mutiara Akbar Nasution Nora Amelda Rizal Putra, Hendra Kurnia R Dongoran, Faisal Ramadhazka, Dihqan Rangga Restu Prayogo, Rangga Restu Restu Prayogo, Rangga Ritonga, Winsyah Putra Salman Munthe Sembiring, Rinawati Sianipar, Matthew Alessandro Sirait, Andreas Martin Raja Sirait, Dita Eka Pertiwi Siregar, Zulkarnain Suhal Kusairi Syahreza, Dina Sarah T Teviana Tapi Rumondang Sari Siregar