आईसीटी समाचार
An Ethereum whale, one of the largest, has just added 28 billion Shiba Inu tokens, valued at over $1.1 million, to a portfolio that now totals over 1.2 trillion tokens. The whale wallet known as 'Gimli' began purchasing SHIB tokens in June and has since amassed a total of $56 million. Over the last 30 days, the value of Shiba Inu has decreased by more than 45 percent, yet whales like 'Gimli' have continuously purchased the dip, and the Dogecoin competitor has soared in public appeal.
According to WhaleStats on Twitter, the movement indicates that 'Gimli' has been particularly active in amassing SHIB tokens recently. The unidentified whale had previously acquired a $1 million worth of SHIB coins worth 24.8 billion. According to a second WhaleStats warning, the top 1000 Ethereum wallets currently own over 47,624 billion SHIB tokens worth more than $1.7 billion. The top 100 Ethereum wallets holding SHIB experienced a massive 42.7 percent rise in accumulation during a single day's transaction during the latter week of November, clearly demonstrating the potential whales perceive in SHIB.
Likewise, according to Whalestats, the world's largest Ethereum whales have been shifting their focus to play-to-earn gaming projects like Decentraland and Gala, an Ethereum-based metaverse cryptocurrency that has seen a jump in value following its recent listing on Coinbase. The persistent interest from whales, however, hasn't benefited SHIB's valuation, which has plummeted in the last month. Since its all-time high of $0.00008845 in October, when it temporarily surpassed the market cap of rival meme crypto Dogecoin, the coin has dropped by more than 50%.
Jordan Belfort, a former Wall Street trader and well-known public figure, feels that meme currencies like Dogecoin and Shiba Inu are total ruses and that their creators should be imprisoned. Jordan Belfort, dubbed the "Wolf of Wall Street" for stealing thousands of dollars in fraudulent stock transactions, considers himself a cryptocurrency fan but does not support tokens that are based on a system that loses money.
