狗狗币ETF热潮消退,比特币与以太坊主导市场

cointelegraphPublished on 2025-12-09Last updated on 2025-12-09

Abstract

美国现货狗狗币ETF的需求出现早期降温迹象,总交易额(TVT)已跌至上市以来最低水平。SoSoValue数据显示,周一狗狗币ETF的TVT仅为14.2万美元,较11月底单日超323万美元的峰值大幅下滑。尽管狗狗币本身在加密货币市场仍保持高流动性(24小时现货交易额超11亿美元),但资金明显更倾向于通过交易所直接交易而非ETF渠道。 相比之下,比特币和以太坊ETF继续主导市场,12月8日比特币ETF录得31亿美元TVT,以太坊ETF达13亿美元。其他山寨币ETF表现逊色:Solana和XRP产品交易额均在2100万美元左右,Chainlink为310万美元,莱特币仅52.6万美元。值得注意的是,XRPETF自推出以来持续资金净流入,而SolanaETF在经历资金外流后近期重现三日流入态势。 整体数据显示,ETF资金仍高度集中于比特币和以太坊两大头部资产,反映出监管合规的加密ETF产品流动性核心仍由主流币种掌控。

美国现货狗狗币交易所交易基金(ETF)出现需求降温的早期迹象,总交易价值(TVT)已跌至推出以来的最低水平。

SoSoValue数据显示,周一狗狗币ETF的TVT降至仅14.2万美元,创上市以来新低。这与11月底形成鲜明对比,当时这些基金单日交易额曾突破323万美元。

总交易价值指特定时期内ETF份额买卖的总金额,可作为市场活动性和实际流动性的衡量指标,反映资金在基金中的流动规模。

现货ETF每日净流入与总净资产。来源:SoSoValue

与狗狗币(DOGE)在更广泛加密货币市场的活跃度相比,这一反差尤为明显。CoinGecko数据显示,过去24小时内DOGE现货交易量超过11亿美元,市值达226亿美元。

这表明底层资产仍保持高流动性,但并非通过ETF载体实现。这种差异说明交易者更倾向于通过交易所直接交易DOGE,而非传统市场工具。

灰度(Grayscale)的狗狗币ETF于11月推出,但交易量远低于最初预期。ETF分析师埃里克·巴尔丘纳斯曾预测该ETF首日交易量至少达1200万美元,但实际首日交易量为140万美元。

相关阅读:贝莱德向美SEC提交质押以太坊ETF上市申请

比特币和以太坊主导ETF交易,山寨币ETF表现落后

12月8日,ETF交易活动仍集中在比特币(BTC)和以太坊(ETH)相关产品。据SoSoValue数据,比特币ETF当日TVT达31亿美元,以太坊ETF为13亿美元。

Solana(SOL)ETF交易量为2200万美元,XRP产品交易量为2100万美元。此外,新推出的Chainlink ETF当日TVT为310万美元,而金丝雀公司的莱特币(LTC)ETF交易量约为52.6万美元。

数据表明,ETF资金仍 overwhelmingly 流向两大主流加密资产,继续作为受监管加密交易所交易产品的核心流动性中心。

资金流入方面,XRP(XRP)表现持续强劲。周一XRP ETF保持自推出以来连续资金流入记录。而Solana ETF在12月3日出现3200万美元资金流出后,目前已实现连续三天资金流入。

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Related Questions

Q根据文章,狗狗币ETF的总交易额(TVT)在周一降至多少美元?

A根据SoSoValue的数据,周一狗狗币ETF的总交易额降至14.2万美元,创下自推出以来的最低水平。

Q与狗狗币ETF的低迷表现相比,狗狗币在更广泛的加密货币市场中的24小时现货交易量是多少?

A根据CoinGecko的数据,狗狗币在过去的24小时内录得了超过11亿美元的现货交易量,显示出其基础资产仍然具有很高的流动性。

Q文章中提到,在12月8日,比特币和以太坊ETF的总交易额(TVT)分别是多少?

A根据SoSoValue的数据,在12月8日,比特币ETF的总交易额为31亿美元,而以太坊ETF的总交易额为13亿美元。

Q除了比特币和以太坊,文章还提到了哪些其他加密货币的ETF?它们的交易额如何?

A文章还提到了Solana(SOL)ETF,其价值交易额为2200万美元;XRP产品为2100万美元;Chainlink ETF为310万美元;以及Canary的莱特币(LTC)ETF,约为52.6万美元。

QGrayscale的狗狗币ETF在首日的交易额表现如何?与分析师最初的预测相比有何差距?

AGrayscale的狗狗币ETF在11月首次亮相,但首日交易额仅为140万美元,远低于ETF分析师Eric Balchunas最初预测的至少1200万美元的交易额。

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1.1k Total ViewsPublished 2025.05.13Updated 2025.05.13

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