Building a Reusable MQL5 Framework for Custom Indicators
Summary
The article develops a modular architecture for MQL5 indicators by refactoring a simple applied-price indicator. It first explains how to update only the bars affected by a new tick or bar, and when to recalculate the full buffer. It also discusses handling tester calls that skip bars and guarding against invalid calculation ranges.
The framework uses header files and object-oriented classes to separate parameters, indicator modules, and shared infrastructure. Base classes and a registry handle recurring tasks such as checking required history and determining calculation start points, leaving each module to focus on its calculation. The example modules include applied price and a simple moving average. The article explains the design and progression through code changes, but it presents a programming framework rather than evidence about trading performance; testing and strategy results are not provided.
Key ideas
- Incremental indicator updates can recalculate only the current bar or the bars affected by a new bar.
- A full recalculation is needed when the calculation history changes beyond those incremental cases.
- Tester settings and input validation help handle skipped bars and unusual calculation states.
- Classes and header files separate indicator logic from parameters and shared infrastructure.
- A registry and base classes can centralize repeated history checks and calculation setup.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.