Now the country’s central bank, People’s Bank of China, has effectively banned digital coins after announcing all transactions of cryptocurrencies are illegal.
Nonfungible tokens, or NFTs, are yet another type of cryptocurrency, denoting that it is a one-of-a-kind asset and cannot be replaced. A Bitcoin, for example, is fungible, meaning you can exchange one for another and get precisely the identical thing. However, a one-of-a-kind trade card, on the other hand, cannot be duplicated. You’d get something altogether different if you swapped it for a different card.

At each point information from neighbouring data is used. As the time series considered are finite, the areas at the start and end of the data (especially at higher period bands) will not have all the data required. One solution to make computation possible, chosen here, is to pad the time series with zeros where required. However, the zero padding will impact the reliability of the results. It is standard to use a cone of influence to represent this difference in reliability of results. Pale colours represent those areas outside the cone of influence with less reliable results (as seen on Fig 3). Higher period bands require more data for computation resulting in the cone shape.
Long term relationships also strengthen, to some extent, around areas indicated as bubbles. The previously observed long term relationship between Google Trends and Bitcoin price [8] can also be seen here, between late 2012 and 2014 (period band 64–256). With the benefit of extra data it can be observed that the relationship disappears around 2014 (for lower period bands) and 2015 (for higher period bands), before the relationships start occurring more consistently in 2016 and 2017 (a region with a number of bubbles identified). The previously observed relationship between Wikipedia views and Bitcoin observed in 2013 (64–128 band), disappears before again returning in mid-2016 and 2017.