  A non-fungible token (NFT) market is a new trading invention based on the
blockchain technology which parallels the cryptocurrency market. In the present
work we study capitalization, floor price, the number of transactions, the
inter-transaction times, and the transaction volume value of a few selected
popular token collections. The results show that the fluctuations of all these
quantities are characterized by heavy-tailed probability distribution
functions, in most cases well described by the stretched exponentials, with a
trace of power-law scaling at times, long-range memory, and in several cases
even the fractal organization of fluctuations, mostly restricted to the larger
fluctuations, however. We conclude that the NFT market - even though young and
governed by a somewhat different mechanisms of trading - shares several
statistical properties with the regular financial markets. However, some
differences are visible in the specific quantitative indicators.
