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US Bitcoin ETFs Post a $137.9 Million Outflow, a Third Red Day in Four

Ilampirai Arivazhagan by Ilampirai Arivazhagan
October 29, 2026
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US Bitcoin ETFs Post a $137.9 Million Outflow, a Third Red Day in Four
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  • US spot Bitcoin ETFs posted a $137.9 million net outflow on October 23, 2026, according to Farside Investors data
  • It is the third negative day in a four-day stretch that began with a $23.2 million inflow on October 20, swung to a $524.8 million inflow on October 21, then reversed into a $635.6 million outflow on October 22
  • The corresponding Ethereum ETF table shows an Oct 23 row with no issuer-level data yet filled in, leaving that category’s figure unconfirmed as of this report

US spot Bitcoin exchange-traded funds posted a $137.9 million net outflow on October 23, 2026, according to daily flow data published by Farside Investors, extending a volatile stretch for the category that has swung between large inflows and large outflows on consecutive trading days throughout the back half of October 2026.

The four trading days leading up to October 23 illustrate just how choppy that stretch has been. The category posted a modest $23.2 million net inflow on October 20, before jumping to a $524.8 million net inflow on October 21, led by BlackRock’s IBIT and Fidelity’s FBTC. That strength reversed sharply the very next day, October 22, with a $635.6 million net outflow, again led by the same two funds, this time on the redemption side. The $137.9 million outflow on October 23 extends that negative turn into a third red day across the four-day window, even though its magnitude is considerably smaller than the prior day’s reversal.

Farside’s data does not break out which specific funds drove the October 23 outflow in the same level of detail available for the preceding days, though the category’s recent pattern has consistently shown BlackRock’s IBIT and Fidelity’s FBTC, the two largest spot Bitcoin ETFs by assets under management, driving the bulk of whatever direction the category moves in on any given day, simply because of their scale relative to smaller issuers.

The corresponding Ethereum ETF flow table also shows a row for October 23, but with no issuer-level figures filled in yet at the time of this report, meaning the Ethereum side of the category’s October 23 performance remains unconfirmed pending Farside’s full update. Spot Bitcoin and Ethereum ETFs give investors regulated, brokerage-account exposure to each asset’s price, and daily net flow data across both categories has become one of the most closely watched real-time indicators of institutional sentiment since the first wave of these funds launched in the United States.

The Bitcoin ETF flow table, published by Farside Investors, does not attribute a specific catalyst to any single day’s move within the four-day stretch, leaving the swing from a sizable inflow, to an even larger outflow, to a smaller follow-on outflow as a pattern for traders to weigh against broader bitcoin price action and news flow during that window.

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.

Ilampirai Arivazhagan

Ilampirai Arivazhagan

Ilampirai Arivazhagan is a data journalist and Web3 funding analyst at Cryip, covering venture capital activity, tokenomics, and crypto market data across global blockchain ecosystems. Her reporting applies IFCN and OSINT-based verification methods to blockchain claims, drawing on certifications in data journalism, journalism fundamentals (NBC Universal Academy), and AI for cybersecurity. Her research has been cited by Coincu and BlockEden.xyz.

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