A fully autonomous trading system trading Gold, Dow Jones, and Nasdaq 100 on MetaTrader 5 using machine learning. Built in Python — a 200 EMA sets market direction while a trained XGBoost classifier scores trade probability. Includes a 4-layer risk system: 65% AI veto, dynamic ATR stop-loss, balance firewall, and automated scale-out. Validated live: $500 account grew to $845, $200 account grew to $247 — both fully autonomous with all decisions logged to MySQL and real-time Telegram alerts.
Tech & Development
Abdullah
Software Engineering
Identité vérifiée2 réalisations
Membre depuis août 2026
Aperçu
I'm a recent Computer Science graduate from Lebanese International University (Spring 2026) based in Lebanon. My resume demonstrates a well-rounded full-stack developer with diverse technical experience spanning web development, mobile applications, and advanced algorithmic systems.
Technical Expertise
My skill set is comprehensive and modern, including programming languages (Java, Python, C#, C++, Dart), web development (React.js, Node.js, HTML/CSS), mobile development (Flutter), and enterprise
Frontend DevelopmentBackend DevelopmentWeb DevelopmentMobile AppsSoftware DevelopmentFull Stack DevelopmentE-commerce DevelopmentChatbot DevelopmentBug Fixing
Réalisations
2 réalisations
Machine learningPythonAiXGBoost
Gym membership application takes username and password for every user and new users can register after login the user will enter his name age and chooses from the options if he needs coaching assistance and membership options after that there's a calculation button will calculate his total in a special card and then the details of this registration will be in a different page for members
DartFlutterPhpRest Api
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