Wolfe Wave Structure and Swing-Based Pattern Recognition

Summary

This article explains Wolfe Waves as five-swing reversal patterns and outlines how to identify bullish and bearish formations. It describes the relative ordering of highs and lows, Fibonacci extension checks, and the three trend lines used to frame the structure and project a target. Swing points are detected by comparing each bar’s high or low with a chosen number of neighboring bars; a larger lookback demands more pronounced turns but can delay confirmation.

The article sketches an Expert Advisor workflow: retrieve candle data, identify candidate swings and wave sequences, validate extensions, then monitor trend-line breaks and confirmation candles before entering and managing a trade. Its example describes a bearish breakout followed by a bullish confirmation and an entry, with the fifth-wave low used for risk placement and a projected line as a target. These rules are presented as educational design guidance for a later implementation, not as evidence of trading performance. The pattern depends on subjective and parameter-sensitive swing selection, and the document provides no backtest or measured results.

Key ideas

• A Wolfe Wave uses five ordered swing points to suggest a reversal toward a projected target line.
• Bullish and bearish versions mirror one another in the placement of highs and lows.
• Fibonacci extension ranges and relative wave sizes are presented as structural validity checks.
• Swing detection compares a bar with a configurable number of neighboring bars, affecting signal distinctness and timing.
• The proposed EA combines pattern validation with trend-line monitoring, confirmation, and trade management.

Tags

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