Statistical Validation of Supply and Demand Zone Impulses

Summary

This article proposes turning visually identified supply and demand zones into measurable rules by analyzing the momentum of an impulsive price move. It introduces an impulse ratio based on candle body direction and total range, alongside absolute candle size and volatility context such as ATR. A higher-timeframe candle is presented as a compact representation of the base and decisive exit, with the intended use of detecting candidate zones for later retest strategies.

The research pipeline scans historical prices to record candidate patterns, uses Python analysis and clustering to compare successful and unsuccessful cases, then transfers derived criteria into an MQL5 Expert Advisor. The text gives example thresholds and describes findings that support considering both relative candle size and size adjusted for volatility. However, it shifts between a single-candle model and a two-candle base-exit pattern, making the exact tested definition less clear. The supplied material does not provide enough detailed results or out-of-sample evidence to establish predictive value or profitability; the proposed rules need independent validation across markets and periods.

Key ideas

• The research aims to replace subjective zone judgments with measurable candle criteria.
• An impulse ratio measures directional body size relative to the full candle range.
• The proposed pipeline collects candidate patterns, analyzes outcomes statistically, and encodes selected rules in an Expert Advisor.
• ATR context complements relative candle strength by indicating whether a move is large for prevailing volatility.
• The description mixes single-candle and two-candle definitions, and the provided evidence does not establish profitability.

Tags

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