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).
Then 5% goes to buying back and burning tokens to reduce circulation and increase demand for the token. The buyback and burning process is automated. With every transaction, 5% of the 12% fee goes to the Buyback smart contract, which automatically buys tokens from the liquidity pool and burns them. Therefore, Safemoon members would also want to invest in a coin whose supply is diminishing hence a consistent increase in the price of the coin.

Another factor that crypto experts have mentioned regarding the competitiveness of the Safemoon coin is the speed of product release. Since the launch of the Safemoon token, only the Safemoon has been released. All other Safemoon products are in the development phase. This is not the case with the Safemoon coin contest, like Bitrise, which in short released several products, including a great dApp wallet.
Interestingly, the breakout was initiated right as a report from the United States Bureau of Labor Statistics (BLS) showed a sharp 6.2% annual rise in the Consumer Price Index (CPI), a figure that has hit its highest mark in 30 years.