It can be seen from Fig 6 that coherence in the short run is erratic throughout the time interval analysed, and that there is little appreciable difference between the bubble and non-bubble regimes. However in the medium term (8–16 and 16–32 days), coherence generally peaks around areas where bubbles have been identified in the price series. The longer term relationship, though, is less dependent on whether the price is in a bubble phase.
No intermediaries. Unlike fiat, virtual currency transactions are conducted directly between two parties, on a peer-to-peer basis, using a decentralized computer network that involves no banks or other intermediaries. Trust in the system is based on digital proof, or the ability of users to access a permanent record of all of the transactions that have taken place.

Using data from a prominent blockchain research firm, Coinmetrics.io, we explore the relationship between prices, computing power (measured by the hashrate), and network (measured by the number of unique active users). We focus on five major mineable cryptocurrencies (i.e. Bitcoin, Ethereum, Monero, Litecoin, and Dash). In some of our test, we expand our data to include an additional 33 cryptocurrencies. Our sample period spans from 7 August 2015 to 25 January 2019.
Despite the concerning news and slight pullback in traditional markets, BTC and ETH prices rose, a dynamic that analysts such as Anthony Pompliano refer to as “asymmetric price action” where investors see a red hot stock market and unsustainable central bank monetary policymaking risk-on assets like Bitcoin as attractive investments and hedges against gold, the dollar and inflation.