Building a Lightweight SQLite ORM for MQL5 Trading Systems
Summary
The article explains a framework for mapping MQL5 model classes to SQLite tables. It describes a layered design: field metadata records column properties, a base model manages fields and binds values, a database wrapper encapsulates SQLite calls, and an ORM class handles table creation and CRUD operations. Developers can define custom models and use reflection-like getters and setters or macro-based declarations to move data between variables and database rows.
The document illustrates intended use with a trade-report model that creates a table, inserts a record, retrieves it by a condition, updates it, and performs a soft delete. It provides architectural descriptions and sample interfaces rather than measured performance or a comparative evaluation. Its claims about safety and suitability for large projects are not substantiated by benchmarks in the supplied text. The material is chiefly about software infrastructure for storing trading data, so its value is in implementation design rather than trading signals or strategy performance.
Key ideas
- An ORM layer can centralize MQL5 SQLite operations and reduce repeated low-level database calls.
- Field metadata can describe column names, types, keys, nullability, and values for SQL generation.
- A base model can bind class variables to database fields through getter and setter methods.
- A database wrapper and ORM core can separate SQLite access from model definitions and CRUD operations.
- The article demonstrates a trade-report workflow but provides no performance benchmarks or evidence of trading advantage.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.