1. Algorithmic Trading Development

I develop automated trading systems using both MQL4/5 and Python, including Expert Advisors, custom indicators, scripts, and MT5-Python integrations. My work focuses on building systematic strategies, data-driven execution logic, and tools that support quantitative analysis and automation.

Core Skills & Capabilities

• Designing and implementing automated trading systems for MetaTrader 4/5

• Developing indicators and custom analytical tools in MQL4/5

• Building Python-based trading bots and workflows integrated with MT5

• Combining algorithmic logic with data science tools for enhanced decision-making

Areas of Expertise

• Building 24/7 fully systematic trading workflows

• Reducing emotional bias through rule-based execution

• Improving execution accuracy and consistency through automation

2. Backtesting & Strategy Optimization

I work with Python, MetaTrader’s Strategy Tester, and backtesting frameworks to evaluate, validate, and optimize trading strategies. My approach emphasizes statistical rigor, risk-adjusted performance, and reproducible analysis.

Core Skills & Capabilities

• Backtesting strategies using MetaTrader, Python, and backtesting.py

• Evaluating profitability and risk metrics (Sharpe, drawdown, volatility, etc.)

• Tuning and optimizing strategy parameters

• Assessing portfolio-level performance and robustness

Areas of Expertise

• Identifying strengths, weaknesses, and sensitivities in models

• Evaluating historically realistic performance

• Improving strategies with quantitative and qualitative insights

3. Portfolio and Risk Management

My background includes portfolio construction, systematic allocation, and risk management. I apply quantitative methods to align portfolios with risk tolerance, objectives, and practical constraints.

Core Skills & Capabilities

• Strategic and systematic asset allocation

• Portfolio construction and rebalancing based on risk profiles

• Risk measurement, stress testing, and scenario analysis

• Incorporating liquidity, horizon, and constraint-based factors into allocation models

Areas of Expertise

• Diversification across asset classes and strategies

• Rules-based portfolio management to maintain discipline

• Performance optimization using methods such as mean-variance analysis

4. Quantitative Finance & Data-Driven Modeling

I apply quantitative methods and statistical techniques to build models for trading, forecasting, and risk assessment. My work combines finance, mathematics, and Python-based data science to support data-driven decision-making.

Core Skills & Capabilities

• Developing quantitative trading models and analytical tools

• Time-series analysis, forecasting, and signal extraction

• Statistical modeling and hypothesis testing

• Working with large datasets for research and predictive modeling

Areas of Expertise

• Using advanced mathematical and statistical methods to improve precision

• Supporting strategy development with data-centric analysis

• Applying predictive analytics and optimization techniques to financial problems

If you have a project, collaboration idea, or question, please feel free to reach out to me.

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