Oolong refers to the incident! $300,000 Boring Ape NFT sold for $3,000

Time:2021-12-30 Source: 1062 views NFT Copy share

The second (14th) Oolong Finger incident also happened in the NFT world! The market reported that a Bored Ape NFT originally worth 75 Ether (about 300,000 US dollars) was sold for only 0.75 Ether (3000 US dollars) due to the wrong input of the selling price.

"Bored Ape Yacht Club" (Bored Ape Yacht Club) is an NFT project established in April this year. It is composed of 10,000 unique apes. It is one of the most popular works of art in the NFT field. Hot in the art market, so far, the cheapest Boring Ape NFT costs at least 52 Ether (approximately US$210,000).

On Tuesday, NFT seller Max originally intended to sell the Boring Ape NFT with the number #3547 for 75 ether (about 300,000 US dollars). Unexpectedly, he made a mistake by mistakenly filling the price as 0.75 ether (3,000 US dollars). price.

This #3547 boring ape NFT was bought by seckill as soon as it was put on the shelves. The buyer even paid an extra 34,000 US dollars to speed up the transaction, and even quickly resold it for 59.99 ether (about 220,000 US dollars) soon. .

The seller Max said that he had discovered that he had entered the number incorrectly, and when he was about to press cancel, the work was bought by a spike, and the US$250,000 flew like this.

NFT refers to non-homogeneous tokens. It is a string of identification codes built on the existing blockchain. It is a type of digital encryption currency and is especially suitable for applications in the fields of artistic creation, games and verification functions. For artists, NFT works of art can use NFT, an encrypted digital currency transaction, and record, clear, and store on the blockchain to avoid piracy.

Fat-finger error (Fat-fingererror), also known as fat finger incident, refers to wrong transactions caused by keyboard input errors in financial markets such as securities and foreign exchange, which usually lead to wrong number and price of securities transactions, resulting in economic losses and possible Cause market chaos.

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