Bollinger %B Breakout Signals with ATR Trailing Stops

Summary

This short-term breakout system measures where open, high, low, and close fall within Bollinger Bands, then smooths those percentage readings with configurable moving averages. A volatility measure derived from the smoothed values sets a trailing stop; the strategy switches direction when price crosses that stop. Optional filters use recent and longer-term highs or lows and prior yearly extremes to qualify long and short entries.

The document describes the indicators, parameter choices, and a BTC/USDT futures backtest configuration, but reports no performance results. It presents the combination as a way to reduce noisy signals, while also acknowledging that strict filters can miss trends and that parameter selection matters. Its claims of improved reliability and efficiency are not supported by reported statistics. The source logic also differs from parts of the prose: it enters long when the direction is positive and short when negative, rather than directly triggering on a Bollinger-band crossing. Robustness, transaction costs, and out-of-sample behavior therefore remain unestablished.

Key ideas

• The strategy smooths Bollinger %B readings calculated separately from open, high, low, and close prices.
• An ATR-like range estimate scaled by a multiplier determines a direction-sensitive trailing stop.
• Long and short entries depend on the stop-defined direction, with optional high-low and yearly-level filters.
• The published configuration specifies a BTC/USDT futures test, but gives no performance statistics.
• Parameter sensitivity, missed trends, and noisy breakouts are stated limitations.

Tags

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