The SADF test finds the largest ADF statistic from all the windows considered. If this value exceeds a critical value, the null hypothesis can be rejected, and it is deemed the series displays explosive behaviour in at least one of the windows (taken as indication of a bubble occurring).
It’s impossible to determine at this point whether SafeMoon is a riskier investment than any of the other 4,000 or so active cryptocurrencies. Crypto skeptics like Megan Horneman, direct of portfolio strategy at Verdence Capital Advisors, warns investors to steer away from all digital coins, since they have no underlying assets and are threatened by regulatory oversight.

Laith Khalaf, financial analyst at investment platform AJ Bell, previously told The Sun that although long-term investment is encouraged, SafeMoon "doesn't sound too different from a pyramid selling scheme".
We further explore the significance of cryptocurrency fundamentals at the aggregate market level using traditional asset pricing tests. For this analysis, we construct risk factors that are based on aggregate values of computing power and network. We denote the aggregate computing power factor with ACP and aggregate network factor with ANET. The innovation in constructing these factors is that we express them in cryptocurrency return units following the factor mimicking portfolio approach (Knez et al. 1994, Lamont 2001, Vassalou 2003).