Nathaniel Chastain, former Head of Product at OpenSea, the largest non-fungible token (NFT) marketplace, has been arrested and charged with wire fraud and money laundering in connection with insider trading in NFTs.

On Wednesday, prosecutors in New York’s Southern District accused the 31-year-old of “using confidential information about what NFTs were going to be featured on OpenSea’s homepage for his personal financial gain.”

Chastain was responsible for selecting NFTs that would be featured on OpenSea’s homepage as part of his employment. Typically, the price of an NFT would drastically increase after it is featured on the homepage.

Being aware of this, according to the Justice Department, Chastain allegedly bought such NFTs and then dumped them shortly after they had been featured on the homepage — for a substantial profit.

The DOJ said that Chastain used OpenSea’s confidential information between June 2021 and September 2021 to secretly purchase “dozens of NFTs” just before they were featured on the homepage and swiftly sell them “at profits of two- to five-times.”

Chastain has reportedly purchased the NFTs using several secret wallets and anonymous accounts on OpenSea.

According to US Attorney Damian Williams,

“NFTs might be new, but this type of criminal scheme is not. As alleged, Nathaniel Chastain betrayed OpenSea by using its confidential business information to make money for himself.” 

As reported, an anonymous thread on Twitter in mid-September first revealed that Chastain might be using insider information to purchase NFTs.

Subsequently, OpenSea confirmed that they learned one of their employees purchased items using confidential information, without disclosing if it was Chastain.

Meanwhile, the incident led to a discussion around the need for decentralized NFT marketplaces.

“Whether or not there is truth to the accusations of insider trading—OpenSea needs to use this as a catalyst to build a more decentralized platform,” said Compound Finance co-founder Robert Leshner at the time. “Centralized systems and their users are vulnerable to bad decisions by humans.”

Source: Cryptonews

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