A Modular Supply and Demand Zone Strategy Validation Pipeline

Summary

This article describes an MQL5 architecture that turns automatically qualified supply and demand zones into candidate trade requests through a sequence of independent checks. The strategy layer considers zone qualification and interaction, how price approached the zone, higher-timeframe trend and RSI conditions, and price-action confirmation. Candidates that fail a stage are rejected; those passing all stages are delegated to a separate trade manager for execution and position handling.

The implementation exposes configurable settings for filters, spread limits, risk-reward targets, ATR-based buffers, position size, and trailing stops. Its central contribution is modular decision design: zone discovery and lifecycle management remain separate from signal evaluation and order operations. The article explicitly frames the code as an architectural research platform, not a complete production methodology. It focuses on how validation stages are composed and offers no performance results or evidence that the illustrated rules are profitable; automated decisions are limited to qualified automatic zones, while user-defined zones are excluded pending separate qualification.

Key ideas

• A zone touch alone does not determine whether price will reject the area or break through it.
• The strategy evaluates zone status, interaction, approach behavior, higher-timeframe context, and price action in sequence.
• Separating analysis, trade decisions, and execution makes the components independently replaceable.
• The article presents an extensible research architecture rather than a validated production strategy.

Tags

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