Building an MQL5 Engine for Account-Level Risk Enforcement
Summary
The article describes an MQL5 system that monitors every open account position and checks whether it has stop-loss and take-profit levels, risk aligned with a set percentage of equity, and a configured risk-to-reward ratio. A timer-driven cycle scans positions independently of market ticks, evaluates compliance, applies configured corrections, and updates logs and chart information. The system is intended to cover trades opened manually or by different Expert Advisors across symbols.
It outlines passive, assisted, and strict operating modes, along with components for monitoring, risk evaluation, enforcement, alerts, and session configuration. In strict mode, corrections may include adding missing protection levels or reducing excessive position size. The article presents this as an implementation design and describes observable system behavior, but supplies no independent performance study or evidence that automatic corrections preserve a strategy’s expected outcomes. Account-wide intervention can also affect trades whose management assumptions differ from the configured rules.
Key ideas
- A timer-driven monitor can review open positions even when market ticks are sparse.
- Compliance is defined through stop-loss and take-profit presence, equity-based exposure, and a target risk-to-reward ratio.
- Passive, assisted, and strict modes offer different levels of intervention.
- The enforcement module can modify protection levels or reduce excessive exposure.
- Account-level rules may affect manual trades and positions opened by other Expert Advisors.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.