Novogratz Sees Memecoins as a 'Powerful Narrative' in the Crypto Economy
Novogratz 將 Memecoin 視為加密經濟中的“有力敘事”
Galaxy Digital's Mike Novogratz believes memecoins play a significant role in the crypto economy. He recently stated that memecoins have become a "cornerstone" of the crypto world.
Galaxy Digital 的 Mike Novogratz 認為迷因幣在加密經濟中發揮重要作用。他最近表示,迷因幣已經成為加密世界的「基石」。
Based on volume and open interest rates, DOGE and PEPE are likely to recover faster than other memecoins. The category may perform strongly again in Q2, as evidenced by its resilience during market drawdowns. For instance, PEPE and BONK led the recovery after a recent market rebound.
根據交易量和未平倉利率,DOGE 和 PEPE 的恢復速度可能比其他 memecoin 更快。該類別可能在第二季再次表現強勁,其在市場下跌期間的彈性證明了這一點。例如,PEPE 和 BONK 在近期市場反彈後引領復甦。
Memecoins: Fortune and Challenges
Memecoin:財富與挑戰
Novogratz acknowledged that memecoins can generate substantial profits, citing dogwifhat's (WIF) viral growth to a $3 billion market cap.
諾沃格拉茨承認,迷因幣可以產生可觀的利潤,並引用了 Dogwifhat (WIF) 的病毒式增長,市值達到 30 億美元。
However, the massive profits have also attracted scammers, leading to numerous memecoin-related rug pulls. Solana-based Jupiter Exchange CEO, Meow, acknowledged the challenges and stated that safety and risk-taking are not mutually exclusive.
然而,巨額利潤也吸引了詐騙者,導致大量與迷因幣相關的詐騙事件發生。總部位於 Solana 的 Jupiter Exchange 執行長 Meow 承認了這些挑戰,並表示安全性和冒險性並不互相排斥。
Current Market Landscape
當前的市場格局
Most legacy memecoins have experienced double-digit declines on weekly charts. However, DOGE and PEPE have held their value better than others following the FOMC meeting.
大多數傳統模因幣在周線圖上都經歷了兩位數的下跌。然而,在 FOMC 會議之後,DOGE 和 PEPE 的價值保持得比其他股票更好。
While the AI Big Data narrative is currently dominating market interest, DOGE and PEPE within the meme segment have the highest OI and volume, indicating increased liquidity. This suggests that they may be poised for a headstart in recovery.
雖然人工智慧大數據的敘述目前主導著市場興趣,但表情包領域的 DOGE 和 PEPE 擁有最高的 OI 和交易量,顯示流動性增加。這表明他們可能已準備好在復甦中搶佔先機。
Source: Memecoins performance, TradingView
Source: Coinglass
資料來源:Memecoins 表現,TradingView 資料來源:Coinglass