Highest Price NFT Stats

What Are NFTs?

Non-fungible tokens (NFTs) have emerged as a popular crypto asset class for crypto enthusiasts and collectors alike, diversifying it beyond Bitcoin and fungible digital assets. NFTs are unique digital assets that cannot be exchanged for other assets on a one-to-one basis. These tokens represent ownership of a particular item or experience, whether it's artwork, music, videos or even virtual real estate.

Top NFT Collections

The NFT market is hotly contested, with prices soaring to incredible heights. Some of the top NFT collections include Bored Ape Yacht Club (BACY), CryptoPunks, Azuki, Art Blocks, among others, with a market cap of over $6.5 billion at the time of writing. These collections have attracted significant attention amongst NFT traders and collectors, with the NFT prices skyrocketing up to millions of dollars at the peak of the bull market.

Key NFT Statistics

For those looking to learn more about NFTs, there are several key statistics to keep in mind. Firstly, floor prices — which represent the lowest price of any given NFT within the collection currently being sold at — can vary greatly depending on the project and market conditions. Secondly, market cap refers to the total market value of all non-fungible tokens in circulation at a given time. Thirdly, volume refers to the total amount of NFTs that are traded over a certain period of time, usually 24 hours.

Highest Priced NFT

In terms of the highest price of NFTs sold, there are many record-breaking sales that have taken place over the past years. For example, pseudonymous digital artist Pak’s Merge fetched US$91.8 million on NFT auction platform Nifty Gateway in December 2021.

The NFT market has grown dramatically over the past two years, and more people are seeing the potential of investing in this space with the potential for future returns. Ensuring good investments can be made easier using NFT stats, like NFT floor prices, market value and volume, which provides insights into the market trends and helps predict price movements.