  We provide a new method for online learning, specifically prediction with
expert advice, in a changing environment. In a non-changing environment the
Squint algorithm has been designed to always function at least as well as other
known algorithms and in specific cases it functions much better. However, when
using a conventional black-box algorithm to make Squint suitable for a changing
environment, it loses its beneficial properties. Hence, we provide a new
algorithm, Squint-CE, which is suitable for a changing environment and
preserves the properties of Squint.
