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Terra Classic (LUNC) Among the Most Viewed Digital Assets in Europe and Asia

Terra Classic (LUNC), the embattled digital asset that currently works in the path of recovery via the help of its determined community, is among the most viewed digital assets in Europe and Asia, according to data provided by CoinMarketCap, the leading crypto price-tracking platform.

Going by the recent report shared by CoinMarketCap, during the first quarter of 2022, Terra Classic managed to accrue 11.40% market share, which placed it as the 5th most viewed digital asset among Asian crypto investors.

Read Also: Terra Classic Projects Have Burned about 33 Million LUNC This Week

This outstanding performance placed Terra Classic (LUNC) above other top cryptocurrencies such as Ethereum (ETH), XRP, and Binance Coin (BNB). Only BTC, BABYDOGE, SHIB, and Pi were ranked higher than LUNC.

The trending report also reveals that Terra Classic (LUNC) holds the fifth position among the most viewed cryptocurrencies in Europe with 9.88% market share. Only Bitcoin (BTC), Shiba Inu (SHIB), Ethereum (ETH), and Solana (SOL) were ranked higher than the decentralized finance (DeFi) project among European investors.

Another notable data presented by CoinMarketCap shows that Terra Classic is the most viewed asset in the DeFi sector.

Read Also: Terra Classic Total Burns Finally Crosses 50 Billion LUNC. Here’s the Significance

According to the crypto aggregating platform, LUNC accounts for up to 44.20% of all the views associated with the DeFi sector on the platform in the first quarter of this year. The report also states that the Terra Classic burn campaign has managed to take over 52 billion LUNC out of the circulating supply.


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Solomon Odunayo
Solomon Odunayo
Solomon is a trader, crypto enthusiast, and analyst with over four years of experience in the industry. He strongly believes that crypto assets and the blockchain will continue to gain prominence. At TimesTabloid.com, he focuses on news, articles with deep analysis of blockchain projects, and technical analysis of crypto trading pairs.
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