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Sparkster profits from ETH trade using USDC

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According to reports, Lookonchain monitoring data showed that two days ago, before the USDC broke down, Sparkster\’s four wallets used 15.58 million USDC to buy

Sparkster profits from ETH trade using USDC

According to reports, Lookonchain monitoring data showed that two days ago, before the USDC broke down, Sparkster’s four wallets used 15.58 million USDC to buy 10921 ETHs at an average price of 1427 dollars. These wallets sold 10921 ETHs this morning and obtained 17.24 million USDCs, with an average transaction price of 1578 dollars. Sparkster earned $1.65 million in two days.

Sparkster-related wallets earned US $1.65 million from short-term trading ETH during the period of USDC’s anchoring

Analysis based on this information:


According to reports, Sparkster made a profit of $1.65 million from a successful trade of Ethereum (ETH) using USD Coin (USDC). Lookonchain monitoring data revealed that Sparkster’s four wallets purchased 10921 ETH two days before the USDC broke down. During the transaction, the wallets spent 15.58 million USDC at an average price of $1427 per ETH.

This was followed by a sell-off of the purchased ETHs. Sparkster sold 10921 ETH in the morning, receiving 17.24 million USDC, with an average transaction price of $1578 per ETH. The successful trade resulted in a profit of $1.65 million in just two days.

The use of USDC in the ETH trade shows the increasing trend of stablecoins’ popularity. These coins are less volatile than other cryptocurrencies and are pegged to a fiat currency, in this case, the US dollar. This allows traders to mitigate market risks and have more stable investments.

Sparkster’s successful trade also shows the importance of monitoring data in making informed trading decisions. Lookonchain provides real-time blockchain data and analysis, which can help traders track their portfolio and make strategic trades.

Overall, Sparkster’s profit from this trade highlights the potential benefits of using stablecoins in cryptocurrency trading. It also emphasizes the importance of using monitoring data and analysis to make informed trading decisions.

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