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Adaptive ZigZag Swings Using ATR and Fractal Structure

Article MQL5 code base

Summary

The document presents an adaptive ZigZag indicator intended to make swing structure easier to inspect. It says the method builds on the fractal principle and adds an adaptive layer based on Average True Range, aiming to respond to changing market conditions where fixed thresholds may lag during fast moves or create excess noise during slow periods.

The tool is described as a market-structure analyzer for identifying highs, lows, and breaks of structure, not as a source of direct buy or sell signals. A swing point is considered fixed only after the configured number of right-side bars confirms it, so identification necessarily waits for that confirmation. Although the description names ATR and right-side confirmation, the detailed threshold mechanics are absent, and it supplies no comparative tests or performance evidence. The claims should therefore be treated as a feature outline rather than validation of predictive value.

Key ideas

  • The indicator adapts ZigZag swing thresholds using Average True Range.
  • Its stated foundation is fractal swing structure, with highs, lows, and breaks of structure as outputs.
  • A swing is fixed after the configured right-side bars confirm it.
  • The tool is intended for structure analysis rather than direct trade signals.
  • The description omits the hybrid threshold formula and gives no performance evaluation.

Tags

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