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Detecting Wolfe Wave Patterns with ZigZag Pivots

Article MQL5 articles

Summary

This article explains Wolfe Waves as wedge-like price patterns used to identify a possible entry direction, a projected price target, and an estimated time to reach that target. In the buy example, successive swing points define two lines: a later intersection estimates target timing, while a line through earlier pivots sets the target price. The article adds configurable geometric filters to distinguish qualifying formations and describes implementing detection with ZigZag peaks and troughs.

The indicator tracks pivot values, directions, and bar indices, updates the latest pivot as the ZigZag extends, and draws patterns and targets on a chart. An Expert Advisor is included to test the indicator’s output. The article notes that Wolfe’s method does not specify a stop-loss rule and that its additional geometric filters are the author’s implementation choices. If pivots come from an oscillator rather than price, the projected target belongs to that indicator’s scale and may not be displayed as a price target. Pattern detection also depends on ZigZag behavior as bars form.

Key ideas

  • Wolfe Waves use a sequence of swing points to define entry direction and a projected target.
  • The intersection of two pivot lines estimates when the target may be reached.
  • ZigZag pivots provide the points used to detect and draw candidate formations.
  • Additional geometric thresholds are implementation choices rather than definitive rules.
  • The method supplies no stop-loss formula, and oscillator-based targets may not map to price.

Tags

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