# Windowing policy

The `Windowing` field in a study specifies the windowing policy to be adopted to score the experiments of an optimization study.

The two available windowing strategies have different structures:

* [**Trim windowing**](https://docs.akamas.io/akamas-docs/3.6/reference/construct-templates/study-template/windowing-strategy/trim-windowing): trim the temporal interval of a trial, both from the start and the end of a specified temporal amount - this is the default strategy
* [**Stability windowing**](https://docs.akamas.io/akamas-docs/3.6/reference/construct-templates/study-template/windowing-strategy/stability-windowing): discard temporal intervals in which a given metric is not stable and selects the temporal interval in which a metric is maximized or minimized.

In case the windowing strategy is not specified, the entire time window is considered.