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▲ Bitcoin (BTC) Exchange Traded Fund (ETF) ©CoinReaders
As the price of Bitcoin (BTC) swiftly surpassed investors' average purchase price, over $1.7 billion in massive institutional funds poured into the US Bitcoin spot ETF market in just two days.
According to the investment media FXStreet on September 23 (local time), based on SoSoValue's aggregation, US Bitcoin spot ETFs recorded a net inflow of $715 million on Tuesday alone. This follows the year-to-date high of $999 million recorded on Monday in 2026, marking two consecutive days of large-scale fund inflows, with the total amount exceeding $1.7 billion over 48 hours.
The inflows on Tuesday were driven by traditional financial giants. According to Farside Investors data, BlackRock's iShares Bitcoin Trust (IBIT) led the market by absorbing $350 million from a single product. It was followed by Fidelity's Wise Origin Bitcoin Fund (FBTC) with $257 million, and Grayscale's Bitcoin Mini Trust with $99 million, respectively.
Thanks to these inflows, the total net asset value of US Bitcoin spot ETFs swelled to approximately $111 billion. This represents a staggering 56% surge compared to the year-to-date low of about $71 billion recorded on June 30, 2026. However, it is still about 13% below the year-to-date high net asset record of $128 billion set on January 14.
The core reason behind this surge in funds is that the price of Bitcoin has exceeded investors' breakeven point. James Seyffart, an ETF analyst at Bloomberg Intelligence, diagnosed that Bitcoin entered the average profit zone for the first time since January, as it surpassed the estimated average purchase price of $81,722 for ETF investors.
According to CoinGecko data, Bitcoin traded around the $86,000 mark on Tuesday and briefly broke above $87,000 during Wednesday's trading. It has since maintained a strong upward trend, trading around $86,467, up 1.2% from 24 hours ago and 13.8% over the past seven days.
*Disclaimer: This article is for investment reference only, and we are not responsible for any investment losses based on it. The content should be interpreted for informational purposes only.*
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