Can Bitcoin and altcoins sustain their bullish momentum or will profit-booking drag prices lower? Let’s study the charts of the top 10 cryptocurrencies to find out.
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).

The long term positive coherence relationship observed between online metrics and price may be the result of another factor which we hypothesise could be technical progress. As a project makes technical progress, it is likely to have a community form around it over time, increasing online activity and also demand, and hence price, of the particular cryptocurrency. An interesting avenue of future work would be to consider the coherence between price and technical progress (via looking at each projects source code repository—these are available as cryptocurrency projects are generally open-source).
Additionally, crypto regulation outside the U.S. has changed over time, based on evolving regulatory guidelines. The fifth Anti-Money Laundering Directive from the European Union, for example, entails that crypto buying, selling and other operations must comply with certain guidelines in certain regions.