In automated trading, handling CSV files in MQL5 is essential. This article outlines the development of a robust CSV reader class to import and manage external data efficiently. The MQL5 environment restricts file operations to the “sandbox” directory for security. File operations are managed via specific modes like FILE_READ and FILE_TXT. Line-by-line reading and file error handling are crucial for effective data management.

The CSV reader class designed here handles headers, maps columns to indices using a hash map, and stores data rows in dynamic arrays. Accessors allow retrieval by column name or index. This method ensures smooth data integration without modifying existing code structures, providing flexibility for adaptive strategies.
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