Broder Bandpass Filter Strategy for Threshold-Based Trend Signals

Summary

This strategy adapts a bandpass filter attributed to Broder’s 2010 Stocks & Commodities article. It calculates a filter from the midpoint of each bar using length and fluctuation parameters, then compares the value with upper and lower thresholds. A reading above the sell zone sets a short position, while a reading at or below the buy zone sets a long position; between those levels, the prior direction is retained. An optional setting reverses the signals, and bar colors and a plotted filter show the resulting state.

The document presents the method as a way to respond to short-term price fluctuations, with adjustable sensitivity. It provides a BTC/USDT futures backtest configuration but no performance figures or evidence that the strategy is profitable. The risks it identifies include false signals from parameter over-optimization, increased costs and slippage from frequent trading, and losses when fluctuations do not reverse as expected. Stop losses, filters, and broader parameter validation are suggested as possible additions, rather than demonstrated features of the core rules.

Key ideas

• The filter value is compared with separate upper and lower thresholds to set short or long exposure.
• Between the thresholds, the strategy retains its previous position direction.
• An optional reverse setting flips the generated direction.
• Parameter sensitivity can increase false signals and overfitting risk.
• The published futures test configuration is not accompanied by performance results.

Tags

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