Translating and Structuring MQL5 Error Logs
Summary
This article describes an extension to a logging library that turns numeric MQL5 error codes into structured records containing a code, symbolic constant, and readable description. Separate language tables provide descriptions in eleven languages, while a lookup class loads the selected table and returns the matching record. Unknown codes receive a fallback, and the design also accounts for user-defined error codes.
The examples show how a raw trade error can be logged with its explanation, and outline how language selection and severity-specific formatting fit into the broader logging system. The article focuses on implementation in MQL5 rather than trading decisions or quantitative evidence. Its usefulness is mainly operational: clearer, more accessible logs can help diagnose failures in trading software. Accuracy depends on the completeness and correctness of the maintained error tables; the article does not evaluate runtime cost or demonstrate effects on trading performance.
Key ideas
- A structured error record can hold a numeric code, symbolic constant, and human-readable description.
- Language-specific tables let the logger display error descriptions in the selected language.
- A lookup class can return the matching record and provide fallback handling for unknown or user-defined codes.
- Severity-specific formatting can make errors, warnings, and informational logs easier to distinguish.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.