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Schedule Interview NowMy name is Ziad A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Finance, Data Science, Data Analysis, Forex Trading, etc.. I hold a degree in Bachelor of Science (BS), Bachelor of Medicine, Bachelor of Surgery (MBBS), High school degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Formula 7 - MQL5 Indicator, Formula 7 - My personal momentum indicator - XAUUSD, Gold (XAUUSD) Intelligence Dashboard - GIA, RSI2 Mean Reversion Backtest – Gold (XAUUSD), TradingView 📈 RSI2 Mean Reversion Indicator — Gold (XAUUSD), etc.. I am based in Cairo, Egypt. I've successfully completed 7 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
3 years
2 Years
1 Year
1 Year
Potentially possible
IBM Egypt
The Formula 7 Indicator quantifies market conviction beyond simple price action. It uses a proprietary formula to calculate Expected Gain and Expected Loss, providing a single, normalized histogram that reveals true momentum and trend strength. Ideal for traders of all levels, it identifies high-probability reversals via divergence and offers non-repainting signals for confident trading. Perfect for Forex, Crypto, and Stocks on any timeframe.
Developed a custom quantitative trading strategy for speculative gold trading. The system utilizes a proprietary, momentum-based oscillator combined with dynamic stop-loss and take-profit rules. Backtested on historical data, the strategy achieved: Total Return: 36.12% Annualized Return: 164.17% Max Drawdown: -4.61% Sharpe Ratio: 6.55 This project demonstrates expertise in Python for financial data analysis, custom indicator development, and automated backtesting using pandas and matplotlib.
An interactive Streamlit dashboard for analyzing XAUUSD using technical indicators, alpha signals, and ML-ready features. It includes calendar heatmaps, volatility analysis, signal-label evaluation, and dual correlation views (math-based + technical). Ideal for traders, quant researchers, and fintech teams.
Built a Python backtest using RSI(2) to detect short-term mean reversion in gold (XAUUSD). Strategy enters on RSI < 10, exits on RSI > 90. Includes equity curve, CAGR, and max drawdown. Used yfinance, pandas, matplotlib, and ta-lib. Code is clean, modular, and ready for automation or extension with filters, ML, or regime logic.
Built a Python backtest using RSI(2) to detect short-term mean reversion in gold (XAUUSD): Strategy enters on RSI < 10, exits on RSI > 90. Includes equity curve, CAGR, and max drawdown. Uses: yfinance, pandas, matplotlib, ta-lib. Code is clean, modular, and ready for automation or extension with filters, ML, or regime logic. This project is ideal as a foundation for more advanced quantitative trading systems.
Bachelor of Science (BS) in Economics
2025-01-01-2029-01-01
Bachelor of Medicine, Bachelor of Surgery (MBBS) in Medicine
2023-01-01-2023-01-01
High school degree in
2009-01-01-2023-01-01
Bachelor of Computer Science (BCompSc) in Computer science
2023-01-01-2025-01-01