ATR-Scaled Linear Regression Channels for Trend Pullback Entries

Summary

This strategy builds a trend channel from a linear regression baseline and an ATR-scaled width. The regression slope determines whether the market is treated as rising or falling; in an uptrend, a long signal is generated near the lower channel boundary, while in a downtrend, a short signal is generated near the upper boundary. The described configuration uses a regression length of 50 periods, an ATR multiplier of 2.0, and a take-profit distance based on 1.5 times channel width. Stops are placed at the opposite channel edge.

The document also describes chart alerts and a hedging mode for sending separate directional signals to an external execution system. It offers no backtest results or evidence that the approach is profitable. Its caveats include false signals in sideways markets, lag at abrupt reversals, parameter sensitivity, and excessively wide channels during volatility spikes. The text suggests confirming entries, testing across timeframes and markets, and sizing positions with risk in mind.

Key ideas

• Regression slope sets the channel's directional trend filter.
• ATR determines channel width so the boundaries expand or contract with volatility.
• The strategy seeks pullbacks near the channel edge aligned with the regression trend.
• Stops use the far channel boundary, while targets are defined relative to the channel midpoint and width.
• No performance evidence is supplied, and the method may struggle in ranging or abruptly reversing markets.

Tags

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