Subscriber growth is harder to track than the other metrics. Only the current subscriber count is displayed for a particular subreddit, and historical data cannot be rebuilt retrospectively as subscribers do not have a visible historical imprint. A third-party website, RedditMetrics (http://redditmetrics.com/), has been retrieving and storing real-time subscriber counts; however their data on the particular subreddits of interest only reaches back to 2012 so the subscriber growth analysis can only start at this point. Fig 2 shows the three social media metric time series for each cryptocurrency; note that subscriber growth is the only metric that can have negative associated values, caused by more users unsubscribing than subscribing on a particular day.
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).

Compare cryptocurrencies based on their price, market capitalization and volume over 1 hour, 24 hours, 7 days, 30 days, 90 days, 1 year and total time in market. Put crypto side-by-side and follow changes and improvements over time.
There are hundreds of cryptocurrency exchanges already, and dozens based in the U.S. Trade volume on Binance is currently $1.2 billion compared to $660 million on Coinbase Pro, $355 million on Kraken, $75 million on Gemini and $47 million on Poloniex, according to CoinMarketCap as of publication. About 20 percent of traffic to Binance.com comes from the U.S., according to research from The Block.