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加密貨幣新聞文章

比特幣(BTC)已被證明是2024年加密貨幣市場中最安全的避風港

2025/02/28 09:11

根據研究平台Delphi Digital的新數據,BTC的表現優於所有專業領域。

比特幣(BTC)已被證明是2024年加密貨幣市場中最安全的避風港

Bitcoin (BTC) has proven to be the safest haven in cryptocurrency markets throughout 2024, performing far better than specialized sectors, according to new data from research platform Delphi Digital.

根據研究平台Delphi Digital的新數據,比特幣(BTC)已被證明是整個2024年加密貨幣市場中最安全的避風港,其性能遠勝於專業領域。

While Bitcoin price has experienced its own volatility this year, every other major crypto category has delivered substantially worse returns for investors.

儘管比特幣的價格今年經歷了自己的波動性,但所有其他主要加密類別都為投資者帶來了更低的回報。

The analysis from Delphi Digital highlights a broader pattern of sector-wide underperformance compared to Bitcoin.

與比特幣相比,來自Delphi數字的分析突出了更廣泛的部門範圍內表現不佳的模式。

This finding is particularly evident in specialized categories, including artificial intelligence projects, blockchain frameworks, agent-based protocols, meme coins, and gaming infrastructure tokens.

這一發現在專業類別中尤為明顯,包括人工智能項目,區塊鏈框架,基於代理的協議,模因硬幣和遊戲基礎架構令牌。

The data reveals particularly steep losses in specialized categories, including artificial intelligence projects, blockchain frameworks, agent-based protocols, meme coins, and gaming infrastructure tokens.

數據揭示了在專業類別中特別巨大的損失,包括人工智能項目,區塊鏈框架,基於代理的協議,模因硬幣和遊戲基礎架構令牌。

AI and blockchain frameworks face steepest declines

人工智能和區塊鏈框架面對最陡峭的下降

The AI frameworks sector has experienced the most severe downturn among all crypto categories, with an average decline of 84.05% since December 31, 2024.

AI框架行業在所有加密貨幣類別中經歷了最嚴重的下滑,自2024年12月31日以來,平均下降了84.05%。

Projects like VWFU and ZEREBRO have been particularly hard hit, dropping 94.53% and 95.32% respectively. Even more established AI blockchain projects like ARC have suffered, falling 48.37% during this period.

諸如VWFU和Zerebro之類的項目受到了尤為嚴重的打擊,分別下降了94.53%和95.32%。像ARC這樣的AI區塊鏈項目更具成熟的AI區塊鏈項目,在此期間下降了48.37%。

The analysis shows a clear pattern of investor retreat from speculative AI-blockchain integrations. GRIFFAIN plummeted 86.7%, while SPORE lost 93.6% of its value. HAT fell 91.78%, and VIRTUAL dropped 74.24%.

該分析顯示了從投機性AI-Blockchain集成中撤退的清晰模式。格里芬(Griffain)下降了86.7%,而孢子損失了其價值的93.6%。帽子下跌了91.78%,虛擬下降了74.24%。

Only one project in the AI frameworks category, GAME, managed to limit its losses to less than 90%, though it still declined by 91.17%. This sector-wide collapse indicates a fundamental reassessment of the immediate practical value of AI-blockchain combinations rather than isolated project failures.

AI Frameworks類別中只有一個項目可以將其損失限制在90%以下,儘管仍下降了91.17%。該部門範圍的崩潰表明,基本的重新評估AI-Blockchain組合的直接實際價值,而不是孤立的項目失敗。

Agent-based protocols followed closely behind with an average drop of 70.27%. This category, which includes autonomous blockchain agents designed to perform specific tasks, saw projects like LUNA plunge 90.59% and GOAT fall 83.26%.

基於代理的協議緊隨其後,平均下降70.27%。該類別包括旨在執行特定任務的自主區塊鏈代理,看到Luna跌至90.59%和山羊跌落的項目為83.26%。

Bitcoin leads as meme coins and gaming tokens struggle

比特幣作為模因硬幣和遊戲代幣掙扎而領先

Meme coin traders have faced a brutal market environment this year, with the sector declining an average of 51.74% since December 2023. Popular meme tokens like PEPE plunged 60.64%, while DOGE dropped 33.92%. The worst performer in this category was WIF, which crashed 70.36% from its year-end value.

Meme硬幣交易者今年面臨殘酷的市場環境,自2023年12月以來,該行業平均下降了51.74%。流行的Meme令牌(如Pepe)下降了60.64%,而Doge下降了33.92%。這一類別中表現最差的是Wif,其年終價值為70.36%。

Several other memecoins faced similar fates, with BONK falling 56.74% and SHIB dropping 35.37% during this period. Even newer meme tokens that gained popularity in early 2024 failed to maintain their value, suggesting that the speculative memecoin boom that characterized parts of 2023 has cooled significantly.

其他幾個成年人面臨著類似的命運,在此期間,邦克下跌了56.74%,什布下降了35.37%。甚至在2024年初獲得流行的新模因令牌也無法維持其價值,這表明表徵了2023年部分的投機性紀念繁榮,已經大大冷卻了。

Gaming infrastructure tokens fared no better, recording an average decline of 51.54% across the sector.

遊戲基礎設施令牌的表現不佳,整個領域的平均下降為51.54%。

Popular gaming-related tokens like MAGIC fell 51.8%, while GALA dropped 45.15%. The heaviest losses in this category were concentrated in projects like MON (-65.79%), YGG (-55.52%), and MCCA (-55.52%).

像魔術(Magic)這樣的流行與遊戲有關的代幣下跌了51.8%,而晚會下降了45.15%。該類別中最重的損失集中在MON(-65.79%),YGG(-55.52%)和MCCA(-55.52%)等項目中。

The data shows that tokens associated with metaverse and gaming platforms have struggled to maintain investor interest throughout 2024.

數據表明,與Metaverse和Gaming平台相關的令牌一直在努力在2024年保持投資者的興趣。

GMT declined 61.47%, MANTA fell 58.36%, and MATIC lost 39.83% of its value. Even gaming tokens with strong user bases and established ecosystems couldn’t escape the sector-wide sell-off.

GMT下降了61.47%,曼塔下跌了58.36%,而Matic損失了其價值的39.83%。即使是具有強大用戶基礎和既定生態系統的遊戲令牌也無法逃脫範圍內的拋售。

ETH, SOL, and AI DeFi sectors show relative resilience

ETH,SOL和AI DEFI部門顯示相對彈性

The Ethereum DeFi sector showed somewhat better performance than the hardest-hit categories, though still recording an average decline of 35.2% since December 2024. Analysis from Delphi Digital shows that established DeFi projects on Ethereum faced less severe selling pressure than experimental sectors.

以太坊偏見部門表現出的性能要比最激烈的類別表現出色,儘管自2024年12月以來的平均下降仍為35.2%。來自Delphi Digital的分析顯示,在以太坊上建立了對以太坊的Defi項目的銷售壓力低於實驗部門。

Within this category, POS fell 53.44% and SNX dropped 53.84%, marking the steepest declines. More established DeFi protocols like AAVE (-32.29%), LINK (-23.71%), and MKR (-3.93%) demonstrated greater price stability.

在此類別中,POS下跌了53.44%,SNX下降了53.84%,標誌著最大的下降。諸如AAVE(-32.29%),鏈接(-23.71%)和MKR(-3.93%)(-3.93%)等更既定的DEFI協議表現出更高的價格穩定性。

The relative outperformance of MKR suggests investors might be favoring DeFi projects with longer track records and proven revenue models during market downturns.

MKR的相對錶現表明,投資者可能會偏愛具有更長記錄的Defi項目,並且在市場衰退期間已驗證的收入模型。

Solana’s DeFi ecosystem showed similar patterns with an average sector decline of 29.29%. Projects like PYTH fell 40.68% and PAY dropped 40.38%, while JTO and JUP limited their losses to 24.71% and 16.56% respectively.

Solana的Defi生態系統顯示出相似的模式,平均部門下降了29.29%。 Pyth等項目下跌了40.68%,薪水下跌了40.38%,而JTO和JUP的損失分別限制為24.71%和16.56%。

The AI and DeFi combination sector posted an

AI和Defi組合部門發布了

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