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On September 13, Spot Bitcoin 
$104,967 ETFs saw significant inflows totaling $263.2 million, marking a notable uptick in investor interest. While Spot Ethereum 
$2,534 ETFs attracted smaller investments compared to their Bitcoin counterparts, they also experienced some inflows. This surge in investments in cryptocurrency ETFs reflects growing optimism within the cryptocurrency markets.
Spot Bitcoin ETFs Attract $263.2 Million
According to data, Fidelity’s FBTC ETF led the inflow race with a net investment of $102.1 million, making it the top performer among similar funds. Following closely, Ark Invest’s ARKB ETF recorded a significant inflow of $99.3 million. Bitwise’s BITB ETF secured third place with a net inflow of $43.1 million.
The increase in ETF inflows reflects sustained investor confidence in the asset class, particularly as they await potential approval for spot Bitcoin ETFs from the U.S. Securities and Exchange Commission (SEC).
Spot Ethereum ETFs Also Draw Investor Interest
Meanwhile, Spot Ethereum ETFs closed positively on the same trading day, albeit on a smaller scale compared to their Bitcoin counterparts. On September 13, the net inflows into Spot Ethereum ETFs reached a total of $1.5 million, with Bitwise’s ETHW ETF leading with a net inflow of $5.2 million, indicating significant investor appetite for Ethereum. BlackRock’s ETHA ETF followed closely with a net inflow of $3.7 million.
This trend in Spot Ethereum ETFs signifies ongoing interest in cryptocurrencies beyond Bitcoin, as investors diversify their risks by including other major cryptocurrencies like Ethereum in their portfolios.
These significant inflows into both Bitcoin and Ethereum spot ETFs reflect a growing sentiment that cryptocurrencies are becoming an integral part of mainstream financial markets. The inflows, particularly into ETFs associated with major players like Fidelity and Ark Invest, suggest that market participants are focusing on the long-term potential of cryptocurrencies as part of their portfolios, beyond short-term volatility.
