My work combines systematic trading research, quantitative analysis, software engineering, and risk management. I am particularly interested in developing robust automated trading systems that can be objectively tested across different market conditions.
My research interests include:
• Algorithmic & Systematic Trading
• Expert Advisor (EA) Development
• MQL5 / MetaTrader 5 Development
• Quantitative Trading Research
• Statistical Analysis & Time-Series Analysis
• Machine Learning for Financial Markets
• Neural Networks & Adaptive Models
• Market Regime Detection
• Risk & Position Management
• Strategy Optimization & Robustness Testing
• Backtesting & Out-of-Sample Validation
• Walk-Forward Analysis
• Monte Carlo & Stress Testing
• Trading System Architecture
• Automated Execution & Trade Management
I am especially interested in the intersection of quantitative methods, machine learning, adaptive systems, and automated trading.
My development philosophy is based on evidence rather than assumptions. A strategy should not be judged by a single backtest or an attractive equity curve. I focus on repeatability, robustness, drawdown behavior, execution quality, and performance across unseen market data.
I continuously study new developments in algorithmic trading, statistical modeling, machine learning, neural networks, and quantitative finance while developing and testing my own Expert Advisors.
My long-term objective is to build professional-grade automated trading systems that are measurable, robust, risk-controlled, and adaptable to changing market environments.
Research. Test. Validate. Improve.
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