Hybrid MQL5 & Java Execution Bridge by Chudi WeekesHybrid MQL5 & Java Execution Bridge by Chudi Weekes
Hybrid MQL5 & Java Execution BridgeChudi Weekes
Cover image for Hybrid MQL5 & Java Execution Bridge
Unlock institutional-grade infrastructure by connecting your quantitative trading models, external data feeds, or analytical backends directly to MetaTrader 5. I build secure, low-latency communication bridges between enterprise Java/Spring systems and MQL5 Expert Advisors.
What is included:
• Polyglot Architecture Design: Implementation of clean decoupling—utilizing PostgreSQL for analytical metadata/signals and QuestDB/Java for high-throughput time-series ingestion and processing.
• MQL5-to-Java Communication Bridge: Seamless signal transmission from your quantitative backend straight into MetaTrader execution endpoints.
• Robust Domain Modeling & Safety: Built using rigorous software design patterns (such as immutable domain builders and thread-safe data structures) to prevent data corruption under live market volatility.
• Full Source Code & Deployment Guide: Complete delivery of both the MQL5 integration components and your Java/Spring backend POC structure, complete with setup documentation.
Client Requirements:
Overview of the target trading strategy, data feed, or signal generation workflow.
Specification of the preferred communication method (e.g., WebSockets, REST API, or DLL bridge) and MetaTrader broker environment.
FAQs

Contact for pricing
Duration1 week
Tags
Software Development / Systems Architecture
Service provided by
Chudi Weekes Lagos, Nigeria
Hybrid MQL5 & Java Execution BridgeChudi Weekes
Contact for pricing
Duration1 week
Tags
Software Development / Systems Architecture
Cover image for Hybrid MQL5 & Java Execution Bridge
Unlock institutional-grade infrastructure by connecting your quantitative trading models, external data feeds, or analytical backends directly to MetaTrader 5. I build secure, low-latency communication bridges between enterprise Java/Spring systems and MQL5 Expert Advisors.
What is included:
• Polyglot Architecture Design: Implementation of clean decoupling—utilizing PostgreSQL for analytical metadata/signals and QuestDB/Java for high-throughput time-series ingestion and processing.
• MQL5-to-Java Communication Bridge: Seamless signal transmission from your quantitative backend straight into MetaTrader execution endpoints.
• Robust Domain Modeling & Safety: Built using rigorous software design patterns (such as immutable domain builders and thread-safe data structures) to prevent data corruption under live market volatility.
• Full Source Code & Deployment Guide: Complete delivery of both the MQL5 integration components and your Java/Spring backend POC structure, complete with setup documentation.
Client Requirements:
Overview of the target trading strategy, data feed, or signal generation workflow.
Specification of the preferred communication method (e.g., WebSockets, REST API, or DLL bridge) and MetaTrader broker environment.
FAQs

Contact for pricing