  We discuss a complementary asymptotic analysis of the so called minimal
random walk. More precisely, we present a version of the almost sure central
limit theorem as well as a generalization of the recently proposed quadratic
strong laws. In addition, alternative demonstrations of the functional limit
theorems will be supplied based on a P\'olya urn scheme instead of a martingale
approach.
