This study proposes a new approach for testing random walk behavior in daily Bitcoin returns (19/07/2010–03/03/2022) by contextualizing the Dickey-Fuller test time-frequency space using continuous complex wavelet transforms. By splitting our full sample into smaller sub-sample periods segregated halving dates, we find that are most predictable or least market efficient (i) at higher frequency s...