Parameter Plateaus: Why a Stable Region Beats the Best Single Setting
Posted: Thu Oct 08, 2026 9:57 pm
Optimisation often finds a "best" parameter set. If nearby values perform much worse, the result is likely luck.
What to look for:
A useful habit is to look at the worst result inside the plateau, not the best. If even the weakest neighbouring setting is acceptable, the strategy is less likely to disappoint when conditions change slightly.
Walk-forward results can confirm a plateau: if the chosen value stays inside the stable region in most windows, the setting is far more trustworthy than one that only works in a single period.
Do you check parameter stability when optimising?
What to look for:
- A plateau: a range of parameter values with similar results.
- Smooth changes in results across parameters.
- Choosing a value in the middle of the plateau, not at the peak.
- Heatmaps of results across two parameters.
- Sensitivity tables.
A useful habit is to look at the worst result inside the plateau, not the best. If even the weakest neighbouring setting is acceptable, the strategy is less likely to disappoint when conditions change slightly.
Walk-forward results can confirm a plateau: if the chosen value stays inside the stable region in most windows, the setting is far more trustworthy than one that only works in a single period.
Do you check parameter stability when optimising?