* Refactor the EA for improved code organization
* Add MetaQuotes-style comments throughout the source code
* Document the purpose of major logical blocks
* Improve inline documentation for complex execution paths
* Standardize log messages for clearer execution tracing
* Preserve existing functionality while improving maintainability
* Prepare the codebase for the accompanying MQL5 article series
* Added automatic market and pending order execution
* Implemented broker symbol resolution for canonical AI symbols
* Added dynamic order type resolution (Market, Limit and Stop)
* Integrated execution status reporting back to the Flask API
* Added MT5 trade execution notifications using Print(), Alert() and SendNotification()
* Refactored the timer workflow into ProcessPendingSignal() for improved readability and maintainability
* Improved execution diagnostics and logging
* Successfully completed end-to-end integration from AI-parsed signal to live MT5 trade execution
