Trend Reversal Signals from ZigZag, Fractals, and Parabolic SAR

Summary

This strategy combines three technical tools to identify possible trend reversals. ZigZag pivots are used to classify the broad direction, fractals mark local highs or lows, and a Parabolic SAR crossover supplies the entry trigger. The described long setup requires an upward SAR crossover, an uptrend state, and a lower fractal; the short setup uses the corresponding downward crossover, downtrend state, and upper fractal. SAR crossovers also govern closing positions. The document gives parameter examples for ZigZag and describes a backtest configuration, but reports no performance statistics or comparative results.

The author argues that requiring several signals may filter some false moves and that SAR can serve as a moving exit reference. These remain claims rather than demonstrated findings. The document warns that sideways markets can produce repeated false signals, that parameter choices matter, and that confirmation may delay entries or incur slippage. The source also divides from parts of the prose: its deviation parameter is defined but not used in the pivot logic, and the stated automatic volatility-based parameter adjustment is an optimization suggestion, not an implemented feature.

Key ideas

• ZigZag pivots classify the prevailing direction, while fractals mark local turning points.
• A Parabolic SAR crossover acts as the final entry trigger and as a position exit signal.
• Long and short entries require agreement among direction, fractal, and SAR conditions.
• The multi-indicator filter may delay entries and can still give repeated false signals in sideways markets.
• The source does not implement the proposed dynamic parameter optimization.

Tags

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