Centralizing Trading Rules with an MQL5 Discipline Engine

Summary

The article presents an MQL5 framework for applying trading restrictions through one central validation engine shared by an Expert Advisor and a chart dashboard. The engine checks whether a symbol is approved, whether the current time falls within allowed sessions and outside news blackout periods, and whether the daily trade limit has been reached. It also exposes status information for display and records activity for trade-count monitoring. Configuration files let users adjust symbol, session, and news settings without recompiling.

The design aims to keep rule checks consistent across trading tools and to monitor open positions for compliance. The article describes the architecture and implementation components, but the supplied text does not provide empirical results showing an effect on trading performance. Its value is operational: it demonstrates how to centralize pre-trade validation and ongoing enforcement, while the quality of restrictions depends on the configured rules and supporting data.

Key ideas

• A central engine checks symbol, session, news, and daily trade-limit rules before authorizing an order.
• The same engine supplies status data to both a dashboard and an Expert Advisor.
• External configuration files allow rule updates without recompiling the system.
• The framework records trades and can monitor open positions for compliance.
• The article explains implementation structure but provides no evidence of improved trading returns.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.