Box Breakout Strategy with Volatility Stops and Scaled Exits

Summary

This strategy detects consolidation boxes from clustered pivot highs and lows, then trades confirmed breaks above or below the range. It requires a minimum box height, a close beyond the boundary with a specified candle-close position, and uses the break direction for entry. Several indicators, including MACD, are recorded or displayed but do not determine entries. Users can choose among structural and volatility-based stop methods, set position sizing by fixed amount or account risk, and scale exits across a box-height target, a risk-multiple target, and a trailing runner.

The document describes development experiments rather than a complete independent performance study. It reports 219 samples where imposing a box-height floor changed average R from 0.1121 to 0.1249, and a 5,512-trade sample where zero-compression cases had negative mean R while cases with compression of at least one had positive mean R. It therefore halves size for zero-compression cases, citing lower drawdown in a simulation. These figures are sample-specific; the source provides no full methodology or evidence of out-of-sample robustness.

Key ideas

• The strategy identifies boxes by grouping pivot highs and lows within an ATR-based tolerance and minimum spacing.
• A breakout must clear the box edge by an ATR buffer and close with sufficient strength near the candle extreme.
• Stops can use volatility bands, box structure, or the box midpoint, with risk-based or fixed-dollar sizing.
• Exits split exposure between a box-height target, a risk-multiple target, and an ATR-trailing runner.
• The author reports sample results for minimum box height and a reduced-size rule for zero-compression setups, but does not establish general performance.

Tags

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