Fractal Breakouts Filtered by Alligator and Normalized ATR

Summary

This script describes a trend-following breakout approach built around confirmed swing fractals. It tracks recent upper and lower fractal levels, uses a shifted smoothed moving average line from the Alligator indicator to set activation levels, and calculates normalized ATR percentiles to assess recent volatility. The visible source establishes these components and includes a stop-loss input, position sizing, commission, and slippage assumptions.

The supplied document cuts off partway through the activation-level calculations, before showing the complete entry, exit, or volatility-filter rules. It also gives no backtest report or performance results. As a result, the broad design can be described, but the exact trading conditions and evidence of effectiveness cannot be verified from the excerpt. Fractal pivots require later bars for confirmation, which can delay signals; the volatility and stop settings also need evaluation across markets and periods before practical conclusions can be drawn.

Key ideas

• The strategy is organized around confirmed swing fractals as potential breakout levels.
• A shifted smoothed moving average line is used to define fractal activation levels.
• Normalized ATR percentiles provide a measure of recent volatility in the visible code.
• The excerpt ends before the full signal and trade management rules are shown.
• No backtest outcomes are included, so the source excerpt does not demonstrate performance.

Tags

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