Research Article
Automated Forex Trading Bot Using MQL4: A Reinforcement Learning-based Approach
Jamari Markus,
Baku Agyo Raphael,
Ismaila Jesse Mazadu*
Issue:
Volume 13, Issue 3, September 2025
Pages:
49-62
Received:
29 April 2025
Accepted:
14 May 2025
Published:
27 August 2025
Abstract: Foreign exchange (Forex) trading is a high-liquidity, high-volatility global market that requires rapid decision-making. Manual trading often suffers from human limitations, including emotional biases and inconsistent decision-making. This paper presents the design and implementation of an automated Forex trading bot developed using MetaQuotes Language 4 (MQL4) and reinforcement learning (RL) strategies. The system integrates real-time market data analysis, technical indicators (MACD, RSI, Bollinger Bands), and dynamic risk management. Leveraging a custom RL environment, the bot adapts to changing market conditions, learns optimal strategies, and executes trades with reduced human intervention. Simulation results show improved trading performance, higher Sharpe ratios, and reduced drawdown compared to manual strategies. The bot architecture consisted of distinct layers, including the market data input layer, decision engine, order execution module, and risk management system. The bot was tested in a demo trading environment over a one-week period. Results demonstrated a win rate of 62%, a profit factor of 1.45, and a maximum drawdown of 4.2%. These outcomes validate the bot's ability to achieve stable performance under simulated market conditions. This study underscores the potential of AI-driven automation for enhancing algorithmic trading efficacy.
Abstract: Foreign exchange (Forex) trading is a high-liquidity, high-volatility global market that requires rapid decision-making. Manual trading often suffers from human limitations, including emotional biases and inconsistent decision-making. This paper presents the design and implementation of an automated Forex trading bot developed using MetaQuotes Lang...
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Research Article
Emotionally Intelligent User Interfaces of Social Media: The Role of Emotional Intelligence in User Interface Design and UX Pattern on Social Media on Human Behaviour
Munim Ahsan Chowdhury Primon*
Issue:
Volume 13, Issue 3, September 2025
Pages:
63-68
Received:
26 March 2025
Accepted:
9 April 2025
Published:
2 September 2025
Abstract: Social Media platforms are increasing user engagements with their attractive User Interfaces (UI) design playing a crucial role in maintaining user involvement. Use of Emotional Intelligence (EI) into the UI transforming user interaction and engagement pattern significantly. With an emphasis on how design decisions affect user behaviour, this study explores the nuanced function of EIUIs (Emotionally Inteligence User Interfaces) in the context of social media. It specifically draws attention to the dangers of manipulative techniques like "dark patterns"-purposeful interface strategies intended to influence users to take actions they might not have otherwise taken-as well as the possibility of constructive involvement. By investigating these practices, the paper hopes to clarify the wider ethical consequences of interface design as well as the duty of platforms and designers to promote transparency, autonomy, and confidence in digital interactions. This paper aims to contribute to the discourse on user interface design by providing a comprehensive understanding of EIUIs' potential and pitfalls in the context of social media interactions. Additionally, this study focusses on finding information of the pattern of Emotionally Intelligent User Interfaces (EIUI) design to enhance user engagements emotionally and tend to take decisions and the impact of the design pattern in user experience.
Abstract: Social Media platforms are increasing user engagements with their attractive User Interfaces (UI) design playing a crucial role in maintaining user involvement. Use of Emotional Intelligence (EI) into the UI transforming user interaction and engagement pattern significantly. With an emphasis on how design decisions affect user behaviour, this study...
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Research Article
Evaluation of Bangladesh Shipbuilding State and Major Challenges
Hossain Khandakar Akhter*
Issue:
Volume 13, Issue 3, September 2025
Pages:
69-85
Received:
28 July 2025
Accepted:
13 August 2025
Published:
19 September 2025
DOI:
10.11648/j.acis.20251303.13
Downloads:
Views:
Abstract: The shipbuilding industry is considered as one of the most profitable and sustainable industries around the globe. Shipbuilding has long been an appealing industry for many develop and developing countries like Japan, South Korea, and China. Historically, this sector has lacked strong global regulation and often faced problems of over-investment, as it involves diverse technologies, stimulates numerous backward and forward linkage industries, creates significant employment opportunities, generates income, and remains global in nature. Such patterns have been evident among all major shipbuilding nations throughout history. Today, China is the global shipbuilding market leader. Bangladesh, endowed with its traditional shipbuilding expertise and glorious history, progressed to become a small but competitive player in the global market, though it could not sustain its momentum. The global shipbuilding industry is projected to reach approximately USD 200 billion soon, and Bangladesh holds the potential to secure at least USD 4 billion of this market share. By addressing challenges such as low productivity, the need for advanced technology integration, and safety standards, Bangladesh’s shipbuilding sector can significantly enhance its international competitiveness and contribute meaningfully to national development and economic growth. This study evaluates the status of local shipbuilding by depicting the challenges within the context of global trends, technological progress, and future market share.
Abstract: The shipbuilding industry is considered as one of the most profitable and sustainable industries around the globe. Shipbuilding has long been an appealing industry for many develop and developing countries like Japan, South Korea, and China. Historically, this sector has lacked strong global regulation and often faced problems of over-investment, a...
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