Such volatility in crypto markets is nothing new. With no formal structure and countless competing exchanges, trading in the digital currency is still akin to settling out in the old American West. Earlier this month, decentralized finance platform Synthetify was forced to halt all trading due to a bug in the platform that provides pricing data. The same software responsible for Synthetify’s troubles was also blamed for a September Bitcoin crash.
When formed by real members instead of bots—we’ll get to that in a second—these communities are unofficial and unpaid public relations departments continually working in favour of the reputation of the projects they support.

Cryptocurrency markets are decentralised, which means they are not issued or backed by a central authority such as a government. Instead, they run across a network of computers. However, cryptocurrencies can be bought and sold via exchanges and stored in ‘wallets’ .
Although analysis of a single factor and cryptocurrency combination, as above, is of interest, more general findings across multiple cryptocurrency/factor combinations can also be pursued. Fig 7 shows, for each cryptocurrency and factor combination, the mean coherence values during the bubble and non-bubble regimes. Each horizontal subplot shows a different coherence period band, from the lowest period band (2–4 days) at the top to the highest period band (256–512 days) at the bottom. As the duration of data for each cryptocurrency varies, certain ranges are left blank when that cryptocurrency does not have enough data to produce values for such bands.