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Using the Repository Pattern to Test MQL5 Trade Analytics

Article MQL5 articles
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Summary

The article explains how to decouple MQL5 analytics from terminal history by having consumers depend on an ITradeRepository interface. A live implementation retrieves closed trades and metrics through the MetaTrader history API; a mock implementation supplies an in-memory dataset. Both expose a shared trade-record structure, allowing the same analytics logic to run against either source.

This design supports offline tests of cases such as empty histories and makes data access easier to replace or extend. The article describes a demonstration that compares live and mock outputs and uses repository data to render an equity curve. Its main contribution is software architecture for testing and maintaining trading analytics, rather than a trading signal or evidence of strategy performance. Live results still depend on correct history selection, filtering, and implementation of the repository calculations.

Key ideas

  • Analytics consumers can depend on an interface instead of calling the MetaTrader history API directly.
  • A shared trade-record structure keeps repository implementations and analytics aligned.
  • Live and mock repositories can provide the same contract while sourcing data differently.
  • Mock data enables repeatable offline checks of analytics behavior and edge cases.
  • Repository abstraction improves testability but does not validate the trading value of the resulting metrics.

Tags

BacktestingRisk management

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.