Recognizing and Testing a Fractal-Based Movement Continuation Pattern

Summary

The article describes a two-wave continuation setup: a main move followed by a correction, with an anticipated resumption in the main trend's direction. It identifies swing points using confirmed fractals and provisional extrema, then applies structural rules such as a correction ending at an opposing extremum, remaining limited in duration, and not exceeding the main move's starting extreme. A higher timeframe establishes direction while a working timeframe helps time entries; Parabolic SAR is used for entry and position management.

The MQL5 Expert Advisor includes risk-based lot sizing, optional take profit, breakeven handling, and position controls. The article also outlines collecting trade and movement statistics into a CSV file for later review. It provides chart examples and implementation details, but the conclusion characterizes the recognition rules and controls as minimal. No robust out-of-sample performance evidence is supplied, so the pattern should be treated as a rule set to evaluate rather than an established trading edge.

Key ideas

• The model combines a main trend wave, a correction wave, and a possible continuation of the main move.
• Confirmed and potential fractal extrema are used to locate the waves' turning points.
• The correction must satisfy direction-specific extremum, duration, and price-location conditions.
• A base timeframe sets direction while a working timeframe is used to identify entry timing.
• The implementation includes trade management and exports statistics, but the article does not establish robust profitability.

Tags

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