MQL5 프로필 열기I help traders transform their trading ideas into reliable automated trading systems.
My expertise includes Pine Script development, MQL5 Expert Advisors, custom webhook integration, and complete TradingView-to-MT5 automation.
I focus on building stable, maintainable, and production-ready solutions with clean architecture and dependable execution.
Whether you need a custom indicator, an Expert Advisor, or a complete trading automation workflow, I can help turn your idea into a reliable solution.
Case Study 1: Replacing Third-Party Trading Bridges with a Custom Webhook Integration
Challenge: The client sought to reduce reliance on commercial third-party bridge services connecting TradingView to MetaTrader 5. The goals were to eliminate recurring subscription costs, minimize execution latency, and improve data privacy.
Solution: I engineered a custom, end-to-end integration architecture to bypass external services. I developed a lightweight MetaTrader 5 Expert Advisor (EA) designed to seamlessly intercept and parse structured alert data (via CSV/TXT) directly originating from custom TradingView webhooks
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Outcome: Achieved seamless, direct TradingView-to-MT5 integration. The client gained absolute control over their signal execution pipeline, significantly reducing execution latency and achieving total independence from external bridging platforms.
Case Study 2: Building a Resilient Automated Trade Execution Engine
Challenge: Automated trading signals frequently fail in live market environments due to unforeseen broker requotes, slippage, and rigid system parameters that cause terminal errors.
Solution: I developed a highly robust trade execution engine in MQL5, prioritizing system stability and fault tolerance over basic order placement. My development focused on:
- Dynamic Alert Processing: Built a sophisticated string parser to process incoming payload data dynamically. This included the intelligent handling of blank parameters, allowing the system to seamlessly execute open-ended trades without triggering system errors
- Signal Validation & Position Management: Engineered strict pre-trade validation checks and automated the safe closure of existing conflicting positions before new order execution
- Advanced Error Handling: Implemented an adaptive retry mechanism within the OrderSend loop. If a broker rejects an order due to sudden volatility (requotes), the engine autonomously fetches the latest pricing data and attempts re-execution within milliseconds
Outcome: Delivered a highly dependable, production-ready execution engine. The system effectively mitigates broker-side errors and network hiccups, ensuring consistent, hands-free automation in highly volatile live environments.
Case Study 3: Data Pipeline Engineering & Vectorized System Validation
Challenge: The client needed to mathematically validate the reliability of their automated execution system against raw broker data without relying on the slow, built-in MT5 strategy tester.
Solution: I constructed a high-performance data processing pipeline utilizing Python, Pandas, and VectorBT
- Data Ingestion: Developed scripts to automatically ingest, clean, and align massive datasets of raw historical tick data directly exported from the broker
- Vectorized Simulation: Replicated the core signal processing and execution architecture within a vectorized Python environment to simulate the automated system's behavior against the raw dataset
Outcome: Provided a lightning-fast, highly accurate validation environment. The client was able to verify the automated system's execution reliability and stability across 20 years of tick data in mere seconds, ensuring the final architecture was computationally efficient and structurally sound
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