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US Bitcoin ETFs Post a $95 Million Net Outflow as IBIT Redemptions Continue

Saravana Kumar Mahendran by Saravana Kumar Mahendran
November 13, 2026
in Market Updates
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US Bitcoin ETFs Post a $95 Million Net Outflow as IBIT Redemptions Continue
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  • US spot Bitcoin ETFs recorded a combined net outflow of $95.0 million on November 10, 2026, the most recent trading day with data available
  • BlackRock’s IBIT led the outflows at $78.2 million, followed by Fidelity’s FBTC at $36.8 million
  • MSBT was the only fund to post an inflow that day, at $20.0 million, while every other tracked fund recorded exactly $0.0 million in flows

Daily flow data tracked on tftc.io shows US spot Bitcoin ETFs recorded a combined net outflow of $95.0 million on Tuesday, November 10, 2026, the most recent trading day for which data was available at publication time. The figure extends a recent run of negative or flat days for the group of funds that collectively hold the bulk of institutional and retail exposure to spot bitcoin through traditional brokerage accounts.

BlackRock’s iShares Bitcoin Trust, ticker IBIT and by far the largest fund in the category, accounted for the majority of the day’s redemptions at $78.2 million. Fidelity’s Wise Origin Bitcoin Fund, ticker FBTC, contributed a further $36.8 million in outflows, meaning the two largest funds together drove essentially the entire net outflow for the day.

Not every fund moved in the same direction. MSBT, a smaller entrant in the spot Bitcoin ETF category, posted a $20.0 million inflow on the same day, providing a partial offset to the larger funds’ redemptions, though not nearly enough to turn the group’s combined flow positive. Every other tracked fund in the category reported exactly $0.0 million in net flows for the day, a flat reading suggesting limited new buying or selling interest across the smaller end of the field.

Daily ETF flow data has become one of the most closely watched real-time indicators of institutional sentiment toward bitcoin since the funds launched, offering a far more immediate signal than quarterly institutional-holdings disclosures. A sustained run of outflow days, particularly when concentrated in the largest funds like IBIT, is often read by market participants as a sign of near-term profit-taking or reduced institutional appetite, though a single day’s figures rarely settle the broader debate about demand trends on their own. Traders and analysts typically weigh several consecutive days of flows together rather than reacting to any one session, since a single outflow can reflect routine portfolio rebalancing by a handful of large holders just as easily as it can reflect a genuine shift in broader market sentiment toward bitcoin.

With IBIT and FBTC again driving the bulk of the day’s net outflow, the pattern underscores how concentrated flows remain among the two largest, earliest-launched funds, even as newer entrants like MSBT occasionally buck the broader trend. The full daily flow tracker is maintained on tftc.io.

Disclaimer: Cryip's content is strictly for educational and informational purposes and does not constitute financial, legal, or investment advice. Cryptocurrency involves significant risk, and readers assume full responsibility for their own financial decisions. Asset references are never endorsements.

To make complex crypto topics accessible to readers at all experience levels, our team uses AI tools strictly to refine language, correct grammar, and simplify terminology. AI is never used to draft facts, source information, or form conclusions. Every article is fact-checked and approved by a human editor before publication. Read our full AI Use & Content Policy.

Saravana Kumar Mahendran

Saravana Kumar Mahendran

Saravana Kumar Mahendran is a crypto security analyst and blockchain researcher at Cryip, focusing on DeFi protocol exploits, Web3 security systems, and on-chain investigation. His research applies OSINT and fact-checking methodology to security incidents, drawing on certifications in cybersecurity and data analytics (LinkedIn Learning), and DeFi deep-dive training (Binance Academy). His work has been cited by Sherlock, Rekt.news, and Halborn Security.

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