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Woofun AI reports that Bitcoin ETFs experienced a three-day recovery trend, characterized by consecutive positive sessions led by BlackRock and Fidelity, while Grayscale’s reduced outflows helped stabilize the broader market.
The aggregate inflow figures reveal a total of $367.9 million across three trading days in July, marking a distinct shift from the inconsistent capital movement and isolated daily spikes that defined previous periods. This sustained accumulation suggests that investors are gradually rebuilding exposure through repeated allocations rather than engaging in short-term speculative activity, thereby strengthening the overall flow profile.
BlackRock remained the largest contributor throughout this recovery period, with its IBIT product attracting $80.8 million in one session followed by another $33.4 million in the subsequent session. These additions push the fund’s total cumulative inflows beyond $60.3 billion, reinforcing its dominant position in the spot Bitcoin ETF landscape.
Woofun AI data shows that Fidelity also returned to positive territory after earlier withdrawals, with its FBTC product recording $16.9 million before adding another $30.7 million in the following session. Complementing this momentum, Bitwise’s BITB fund attracted $15 million during the latest reporting session, demonstrating that capital is entering multiple products rather than concentrating within a single issuer.
Grayscale’s GBTC showed a critical shift in redemption patterns, as large historical redemptions that previously offset gains elsewhere were absent during these positive sessions. With reduced selling pressure, competing products retained stronger net totals, contributing to industry-wide cumulative inflows that have now surpassed $51.2 billion since launch.
This balanced distribution of capital across leading issuers reflects a maturation of institutional adoption within the digital asset market. The consistency of these inflows indicates that sustained institutional adoption is becoming a structural feature rather than a transient anomaly.
