Recursive Bands Breakout Strategy with Direction and Momentum Filters

Summary

This strategy builds recursive upper and lower bands from price and a selected volatility measure, with the midpoint defined by the two bands. A scaling factor and lookback length govern how responsive the bands are; the described choices include ATR, standard deviation, average high-low range, and an RFV method. The strategy checks whether the bands have held direction over recent bars, then enters long when price reaches or crosses the lower band and short when it reaches or crosses the upper band. The source also shows entries based on band and bar extremes, so the exact trigger should be checked against an implementation.

The document presents the method as a trend and breakout system intended to reduce false signals, but supplies no performance results. Its sample settings use BTC/USDT futures with hourly bars over a single month. It warns that parameter choices can cause excess trading, reversals can produce losses, and slippage can worsen in extreme moves. The source includes no active stop-loss or take-profit logic; the middle-band exit examples are commented out. These omissions limit the risk controls evidenced by the strategy.

Key ideas

• Recursive bands update from prior band values and a volatility estimate.
• The volatility method and lookback length determine how sensitive the bands are.
• The rules combine band direction checks with entries near or beyond the bands.
• The published sample covers BTC/USDT futures on hourly bars for one month and reports no results.
• The source does not implement an active stop-loss or take-profit exit.

Tags

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