McGinley and T3 Trend Signals with ATR Trails and Staged Targets

Summary

This strategy combines a McGinley dynamic curve, a T3 smoothing curve, or their average as a signal basis. It builds a trail around that basis using an ATR distance, then identifies directional signals when the trail crosses its value from two bars earlier. Signals are confirmed at bar close, and the script distinguishes initial directional signals from follow-up signals. Users can configure the engine, its parameters, the ATR trail, and a backtest start time.

For trade management, targets can be based on the distance between price and the trail, subject to an ATR-based floor, or on an ATR baseline. The strategy supports individual target levels or scaled exits and offers stops that are disabled, visual only, or tied to strategy exits. It displays campaign levels, trend visuals, and performance statistics. Although the script specifies a commission assumption and provides dashboard metrics, the document includes no actual test results or evidence of robustness. Its configurable indicators, targets, and execution settings require independent evaluation across markets and costs.

Key ideas

• The signal engine can use a McGinley curve, a T3 curve, or the average of both.
• An ATR distance constrains the flow trail, and confirmed signals follow a cross of the trail against its value two bars earlier.
• Target distance can use price’s separation from the trail with an ATR floor, or an ATR baseline.
• Users can select single target exits or scale out across three targets, and choose whether stops affect strategy exits.
• The script includes a commission setting and performance dashboard, but the document reports no measured results.

Tags

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