Enforcing Trading Sessions and News Blackouts in an MQL5 Trading System
Summary
The article describes an MQL5 control system that limits trading to configured session windows and blocks exposure around scheduled economic news. Its design has three parts: a permission engine that evaluates session and news rules, an Expert Advisor that intercepts trade activity and neutralizes unauthorized exposure, and a dashboard that shows current status and upcoming restrictions. Session definitions and news events are kept in external files so they can be updated without recompiling.
The system is intended to reduce execution during illiquid hours and volatile news periods, when spreads, slippage, and rapid repricing can undermine assumptions made during strategy development. The article emphasizes binary permission checks, transaction-level enforcement, monitoring, and modular components. It describes the architecture and included files, but the supplied text gives no quantified test results or performance comparison. The usefulness of the filters depends on correctly maintained schedules and event data, and the article does not establish that avoiding these periods improves returns for every strategy.
Key ideas
- Trading permission is determined by both configured session windows and news blackout intervals.
- A core logic module, enforcement Expert Advisor, and dashboard separate evaluation, trade control, and monitoring.
- External session and news files allow rule updates without recompiling the system.
- The enforcer is designed to intercept trade requests and close positions when exposure becomes restricted.
- The article presents an implementation architecture but provides no quantified evidence of improved trading performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.