Donald Trump NFT Collection Gains Traction

Donald Trump Digital Trading Cards NFT Collection surged in price and interest following a viral interview with Tucker Carlson.

The Donald Trump Digital Trading Cards NFT collection have seen a significant spike in value and volume. The surge followed an interview with Tucker Carlson on X, a platform formerly known as Twitter. Within hours, the viral interview amassed an astonishing 110 million views.

Earlier, the Polygon-based Trump Digital Trading Cards traded at 0.1 ether (ETH), equivalent to $150. As of the European afternoon hours, the price shot up to over 0.13 ETH, or just above $215. OpenSea, a leading NFT marketplace, shows that the collection’s trading volume has reached over 17 ether.

The Collection’s Growth and Trump’s Involvement

Last December, Trump unveiled a collection of 45,000 fantasy cards, pricing them at $99 each. These cards, inspired by collectible baseball cards, feature stylized images of the former president. As of Thursday, more than 13,000 unique holders possess the collection.

People who bought these digital trading cards automatically entered a sweepstakes. The rewards included unique experiences with Trump, such as a Zoom call, dinner in Miami, or a cocktail hour at Mar-a-Lago.

Initially, the cards sold out quickly. Wallets tagged “6D65A7” and “72F891” are currently holding the most individual Trump NFTs. Despite owning 602 and 500 cards respectively, neither holder has listed their NFTs for sale.

The Financial Aspect and Market Trends

Trump, a leading Republican candidate for the upcoming election, held $2.8 million in cryptocurrency as of early August. Furthermore, he earned roughly $4.87 million in licensing fees from his NFT collection.

However, it’s worth noting that the value of this NFT collection has been on a downward trend in recent months. Amid a general decline in the broader crypto market, prices have dropped by more than 50%. From a May peak of 0.2 ETH, daily trading has fallen from over 90 to under 50, according to OpenSea data.