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Topic cluster / Regime detection and contextA context layer is probably double-counting when it mostly restates information already inside the signal, adds little incremental edge, and only improves the backtest by shifting exposure around the same trades. The real test is whether the overlay changes decisions in a way the base signal could not already explain.
What to remember
Start by asking whether the context input is actually distinct from the main signal. If your base signal already measures stretched funding, and the context layer mostly re-labels funding stress as regime, you may be adding naming complexity rather than new information.
The useful question is not whether the overlay correlates with returns. It is whether the overlay changes real trading decisions in a way that improves outcomes after costs.
Redundant layers often produce a nicer story than a bigger edge. They create more dashboards, more state names, and more post-hoc explanations, but very little incremental improvement once you compare them against a simpler baseline.
If the overlay barely beats a simpler formulation, the simpler version is usually better. In live operation, every extra context layer becomes another component that can drift, break, or demand a new excuse when the current period looks worse than the backtest promised.