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Box Structure Breakouts with ATR Filters and Structured Stops

Article Strategy library · Author: cm28689_monkey

Summary

The excerpt describes a box-based breakout strategy intended to identify price ranges from pivots and repeated touches. It filters boxes by height relative to ATR, the proportion of closes inside the box, touch spacing, and maximum duration. A breakout entry uses a confirmation count, an ATR buffer, and a required close location within the breakout bar. The configuration also includes volume and reward-to-risk reference inputs, but comments indicate these are recorded rather than used to block entries.

The source excerpt is incomplete, ending during the input section for stop-loss modes, so the full entry, exit, and box-detection implementation cannot be assessed. Its header reports an average-R change across a stated sample after adding a minimum box-height filter, but the excerpt provides no dataset details, independent validation, or full performance report. The script also specifies commission, slippage, and position sizing assumptions, which would affect any backtest interpretation. The available material supports describing the design, not judging its robustness or live-trading performance.

Key ideas

  • The strategy searches for bounded price boxes using pivot and touch-related parameters.
  • Box height and breakout quality are filtered using ATR-scaled thresholds and close location.
  • Volume and first-target reward-to-risk settings are labeled as informational rather than entry blockers.
  • The script offers several structural stop modes, but the excerpt does not include their full implementation.
  • Reported sample statistics lack enough context here to establish out-of-sample performance.

Tags

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