In early November, FTM formed an inverse head and shoulder pattern, eventually breaking the neckline with a steep rise close to $3.2. However, it is now recovering from the steep drop it experienced overnight along with the market. On its way down, it broke through several local support levels.
More importantly, we find that the ACP and ANET factors can price cryptocurrency returns. In particular, all of our five cryptocurrencies have positive and significant exposures to the fundamental factors. The explanatory power of ACP and ANET is over and above any effects related to the Bitcoin and momentum factors. This finding is non-trivial given that the five cryptocurrencies in our sample have consistently accounted for between 80% to 95% of the total cryptocurrency market capitalisation. Furthermore, we extend our factor analysis to an out-of-sample set of 33 cryptocurrencies obtained from the Bittrex exchange. We find that the aggregate computing power and network factors also price cryptocurrencies in this large out-of-sample data set.

Campbell, J. Y. and R. J. Shiller (1988), “Stock prices, earnings, and expected dividends”, The Journal of Finance 43 (3), 661–676
Dogecoin is thus notable as an experiment in “inflationary cryptocurrency,” and experts are watching it closely to see how its long-term value trajectory differs from that of other cryptocurrencies.