We set the stage for our formal econometric analysis by providing some graphical evidence. For example, in Figure 1, we see a close mapping of the prices of Bitcoin and Ethereum with their respective computing power values. Moreover, in Figure 2, we observe an even stronger mapping of the prices of Bitcoin and Ethereum with their respective network values. Interestingly, these graphs also show that when prices significantly exceed the trend in computing power or network (as was the case in late 2017), prices eventually fall and trace the trend in fundamentals. The convergence of prices to the trend with fundamentals suggests that fundamentals are the ultimate, long-run determinants of prices.
When some of the most respected people on Wall Street make comments like that, it “takes a huge element of mainstream out of the market,” says Innes. Essentially, these heavy hitters were telling their minions that bitcoin wasn’t worth their time.

It’s always hard to know exactly what is driving crypto prices given the opacity of the market and a certain rather large player whose name rhymes with weather, but we think it’s probably partly related to the same market madness that drove GameStop to da moon, as well as to a desire for an alternative to central bank-issued money due to worries about the government overreach (by means of Covid restrictions), and also endorsements from chief executives at the likes of PayPal, Tesla and Twitter/Square.
The same goes for the Safemoon exchange compared to the competing exchanges. The number of products that the Safemoon ecosystem will host is less than that of competing parts. In the long run, less revenue will be generated on the Safemoon network, which means the rewards for token staking will be lower compared to platforms like Bitrise.