Managing Supply and Demand Zones with Validation and Trade Filters

Summary

This project presents a prototype for managing supply and demand zones in an automated trading framework. Qualified zones retain information about their lifecycle, structural quality, and interactions with price. A decision engine applies validation filters before passing trade requests to a separate trade manager. Configurable controls cover automation, execution, spread and risk limits, risk-reward targets, volatility protection, trailing stops, higher-timeframe trend and momentum checks, and the character of price’s approach to a zone.

A central feature is detailed logging of zone formation, monitoring, tests, and invalidation, intended to support review and further research. The project describes its strategy as an example rather than a complete methodology or finished system. It provides no backtest results, measured performance, or evidence that the filters improve trading outcomes. The material is most useful as an architectural outline for experimentation; the zone definitions, filter rules, and market assumptions would need evaluation before relying on the prototype.

Key ideas

• Qualified supply and demand zones are tracked through formation, interaction, and invalidation.
• A decision engine validates zones before delegating trade requests to a separate execution and management component.
• The configurable framework includes risk controls, trailing stops, volatility protection, and higher-timeframe context filters.
• Detailed logs are intended to help traders review zone behavior and develop further research.
• The release is an illustrative prototype and supplies no performance evidence.

Tags

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