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Software Engineer | .NET | MQL5 | NinjaTrader
에
Self-employed
MQL5 Developer — Expert Advisors & Custom Indicators | NinjaTrader, QuantConnect
• I build and maintain algorithmic trading systems in MQL5 — Expert Advisors, custom indicators, and strategy backtesting/optimization.
• Coming from commercial .NET development, I focus on clean, modular, testable code. I value multi-strategy EAs with drawdown control on several levels — Portfolio, EA, and per-strategy.
• I actively develop my own trading frameworks and strategies for my portfolio relying on walk-forward backtesting with minimal optimization.
• I also build trading systems on NinjaTrader (NinjaScript) and QuantConnect, and can port strategies between these platforms and MQL5.
Portfolio CodeBase:
• https://www.mql5.com/en/code/74427 - Result type-safe error handling
Services:
• Expert Advisor development — from idea or specification to a tested, optimized build, including multi-strategy EAs with drawdown control at different levels.
• Custom indicators — building indicators from scratch and converting logic from other platforms or scripts into MQL5.
• Backtesting & optimization — walk-forward testing with minimal optimization to keep strategies robust and avoid curve-fitting.
• Cross-platform strategy porting — moving strategies between MQL5, NinjaTrader (NinjaScript) and QuantConnect.
• Refactoring & fixing existing code — debugging, restructuring and improving EAs and indicators written by others.
How I work:
I treat trading systems as real software, not throwaway scripts. My code is built on a modular architecture — thin adapters over the MQL5 API and reusable domain objects (position sizing, stop-loss, risk rules) — so strategies stay clean, readable and easy to extend or maintain.
• Modular by design — clear separation between API adapters, domain logic and strategy code, so components are reusable across EAs.
• Risk-first — drawdown and exposure control built in at Portfolio, EA and per-strategy levels, not bolted on afterwards.
• Tested & robust — walk-forward backtesting with minimal optimization to avoid curve-fitting.
• Engineering discipline — a commercial .NET background brings version control, clean code and maintainable structure to every project.
• I build and maintain algorithmic trading systems in MQL5 — Expert Advisors, custom indicators, and strategy backtesting/optimization.
• Coming from commercial .NET development, I focus on clean, modular, testable code. I value multi-strategy EAs with drawdown control on several levels — Portfolio, EA, and per-strategy.
• I actively develop my own trading frameworks and strategies for my portfolio relying on walk-forward backtesting with minimal optimization.
• I also build trading systems on NinjaTrader (NinjaScript) and QuantConnect, and can port strategies between these platforms and MQL5.
Portfolio CodeBase:
• https://www.mql5.com/en/code/74427 - Result type-safe error handling
Services:
• Expert Advisor development — from idea or specification to a tested, optimized build, including multi-strategy EAs with drawdown control at different levels.
• Custom indicators — building indicators from scratch and converting logic from other platforms or scripts into MQL5.
• Backtesting & optimization — walk-forward testing with minimal optimization to keep strategies robust and avoid curve-fitting.
• Cross-platform strategy porting — moving strategies between MQL5, NinjaTrader (NinjaScript) and QuantConnect.
• Refactoring & fixing existing code — debugging, restructuring and improving EAs and indicators written by others.
How I work:
I treat trading systems as real software, not throwaway scripts. My code is built on a modular architecture — thin adapters over the MQL5 API and reusable domain objects (position sizing, stop-loss, risk rules) — so strategies stay clean, readable and easy to extend or maintain.
• Modular by design — clear separation between API adapters, domain logic and strategy code, so components are reusable across EAs.
• Risk-first — drawdown and exposure control built in at Portfolio, EA and per-strategy levels, not bolted on afterwards.
• Tested & robust — walk-forward backtesting with minimal optimization to avoid curve-fitting.
• Engineering discipline — a commercial .NET background brings version control, clean code and maintainable structure to every project.
Maksym Yaroslavovych Libovych
게재된 코드 Result - type-safe error handling for MQL5 without exceptions
MQL5에 Rust 스타일의 Result 타입을 도입하는, 크기가 작고 의존성이 적은 라이브러리입니다. 함수는 전역 GetLastError() 상태에 의존하는 대신 단일 값 또는 오류 객체를 반환하므로, 오류가 명확하게 드러나 무시할 수 없습니다. 이 라이브러리에는 ResultValue(값형) 및 Result(포인터로 참조되는 객체), Error 구조체, 조기 반환 매크로(TRY, RETURN_ON_ERROR 등)와 선택적 Then/Match/MapError 콜백이 포함되어 있습니다.
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