U.S. Spot Bitcoin ETFs Take About $74.6M as Fidelity FBTC Leads November 4 Inflows
By Satoshi’s Wire
November 5, 2026
U.S. spot Bitcoin ETFs flipped back to net inflows on November 4, 2026, taking about $74.6 million across the Farside Investors table after three straight outflow sessions. That is a fresh tape print beside the earlier Nov. 4 outflow wrap that tracked about $116 million out and a three-session haul near $1.16 billion (15851) — not a reprint of that chapter. Fidelity’s FBTC did the heavy lifting with about $236.7 million of inflows, more than offsetting another large day of red in BlackRock’s IBIT. For NFT desks that lean on bitcoin liquidity when pricing floors, the composition of that flip matters as much as the headline total.
Fund-level math is on the Farside sheet. IBIT shed about $201.2 million, while FBTC took $236.7 million. Bitwise BITB added about $15.2 million, ARK 21Shares ARKB about $19.9 million, and Invesco BTCO about $4.0 million. The remaining named products on the printed row — EZBC, BRRR, HODL, BTCW, MSBT, GBTC, and Grayscale Bitcoin Mini BTC — show 0.0 for the session. Sum those five active prints and you land on the about-$74.6 million complex total Farside publishes for Nov. 4. Attribute every fund figure to that primary row; do not invent AUM levels, share counts, creation-unit sizes, or a bitcoin spot close the table does not carry.
Context for the Ape Index desk is the rebound off a brutal early-November drain, not a finished bull reset. Farside shows Nov. 2 about −$398.6 million and Nov. 3 about −$115.6 million before Tuesday’s about-$74.6 million bounce. Stack Nov. 2–4 alone and the three-day net is still deeply negative even after the green print. The prior LN already framed the longer three-session outflow stack near $1.16 billion into that window; tonight’s new primary is the single-session flip and the FBTC-led composition. One green day does not erase the week’s red — it only changes the next metric collectors watch when NFT bids lean on bitcoin liquidity.
Composition still matters more than the headline total. A $236.7 million FBTC print can mask another $200 million-plus IBIT redemption day and leave the complex mixed under the surface. Products that printed zeros on Nov. 4 can flip hard on the next session without warning, and a second FBTC-led day would read differently from an IBIT-led bounce. Prefer the Farside primary over aggregator screenshots or social roundups, and keep Oct. late-month extremes — including the about-−$643.2 million Oct. 30 row and the about-$524.8 million Oct. 21 haul — as backdrop scale only so readers can size Tuesday’s print against recent tails.
Risks for NFT desks are plain. Spot ETF flows are not on-chain NFT volume, and a single inflow day does not guarantee floors on Robinhood Chain or Ethereum collections. Flow prints can reverse the next U.S. session as creations and redemptions reshuffle. Fee schedules on the Farside header still put most of the complex near 0.20–0.25% with GBTC at 1.50%, so product mix can matter for who absorbs the next wave. Do not treat this UPDATE as a Kalos Genesis sellout, FungoLabs mint-open, Goat Street cashmere sweep, or Polygon hard-fork recovery story — those stay on other desks. This piece is the Nov. 4 Farside inflow flip after the earlier Nov. 4 outflow chapter.
Tape watch: Watch whether the next Farside session keeps net inflows above the about-$74.6 million print, whether FBTC stays the lead bid or IBIT flips back to absorbing the complex, and whether a second green day lands before the three-session outflow stack rebuilds.
Bottom line: U.S. spot Bitcoin ETFs took about $74.6 million on Nov. 4 as Fidelity FBTC led with about $236.7 million, flipping the complex green after three outflow sessions.
Disclaimer: This article is provided for informational and educational purposes only. It does not constitute financial, investment, legal, or trading advice. The NFT market is highly volatile, and past performance is not indicative of future results. Readers should conduct their own research and consult qualified professionals before making any decisions related to digital assets. The cover image for this article may have been created using artificial intelligence (AI).
