Trend filters are widely used across systematic approaches, yet their implications are not always well understood. This article examines how different trend filters influence signal behavior and responsiveness.
We discuss the trade-offs between smoothness and timeliness, as well as how filters interact with underlying signals. Rather than recommending specific techniques, the focus remains on understanding consequences.
Awareness of these trade-offs allows researchers to make more intentional design choices.
