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).
We also consider two additional factors that account for the finding that in some periods prices drift away from fundamentals. The first factor is the return of Bitcoin. We argue that Bitcoin, being the largest and most traded cryptocurrency, is the most perceptible to sentiment and speculative trading by investors. Thus, as a factor, it can capture periods when trading forces unrelated to fundamentals are the strongest. The second factor is a cryptocurrency price momentum factor that we construct following the seminal work of Jegadeesh and Titman (1993). Momentum effects have been linked to investor psychology (e.g. Barberis et al. 1998).

The Bitrise coin has been a very aggressive coin in the crypto market in the last few months. Since the coin hit the market in July, the value growth has been impressive. The first investors who bought the token are now sitting at thousands and millions of dollars in profit.
“Even with how nascent this industry is, the serious Decentraland players have managed to create a significant income from buying and selling Nft items,” Patrick Moore, founder and creator of Bitcoin and cryptocurrency information website CryptoWhat, told The Sun.