Displayed Bitcoin ETF Flow Figures Sum to 241.1; Three-Week Streak Unverified
Farside’s daily figures for September 28, October 2 total 241.1. That supports a roughly $241 million weekly inflow only if the table’s final column shows aggregate flows in millions of dollars. The available figures do not verify the claimed three-week streak.
- September 28, October 2: Daily figures total 241.1.
- Units and column meaning: Not confirmed by the available table extract.
- Three-week streak: Cannot be established from the visible dates.
- Fund-level breakdown: Unavailable without the table’s column headings.
What the figures show
Farside’s daily Bitcoin ETF flow table lists these final figures for September 28 through October 2: 31.0, 66.2, (148.7), 102.7 and 189.9. They total 241.1. The negative figure offsets inflows on the other four days.
The calculation uses the final figure shown for each date. The available extract does not include the table’s column headings or state the units, so it cannot confirm on its own that 241.1 represents $241.1 million in aggregate net flows.
The previous complete five-session period shown, September 21-25, lists 999.0, 714.7, 346.9, 190.7 and 134.5, totaling 2, 385.8. If the figures are in dollar millions, that would be about $2.39 billion. The two weekly totals differ substantially, but the units and table labels need confirmation before treating them as verified dollar amounts.
Why the three-week claim remains unverified
A three-week streak requires complete, consistently calculated totals for all three weeks. The visible figures provide complete totals for September 21-25 and September 28, October 2, but not for the week before those periods.
- September 14-18: Figures are visible for September 16-18, totaling 376.6, but September 14-15 are missing. That is not a complete weekly total.
- September 21-25: The five listed daily figures total 2, 385.8.
- September 28, October 2: The five listed daily figures total 241.1.
The two complete periods shown have positive totals, assuming the final daily figures represent aggregate flows. But the September 14-18 data are incomplete, so the available figures cannot establish whether that week was also positive. The claim of a “third consecutive week” remains unproven.
The figures cited here come from Farside’s daily Bitcoin ETF flow table. The available extract omits the headings and methodology, so it does not confirm which funds are included, how the aggregate is calculated or what units apply. The daily values and arithmetic are visible, but interpreting them requires the full table context.
What ETF flows can tell investors
In ETF reporting, net inflows generally mean reported creations exceeded redemptions over a period. Net outflows mean redemptions exceeded creations. The precise calculation depends on the provider’s methodology, which is not available with these figures.
Positive net flows are not the same as trading volume, and they do not prove that Bitcoin’s price rose or will rise. Aggregate figures can also hide different results among individual funds. Without the table headings, there is no sound basis for identifying which products drove the displayed total.
The figures offer a possible weekly total, not a confirmed trend. The five daily values for September 28, October 2 sum to 241.1, but confirming a three-week run requires complete data for the preceding week.
Key questions and answers
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How much do the September 28, October 2 figures total?
They sum to 241.1. Calling that $241.1 million depends on confirming that the figures are in millions of dollars and represent aggregate daily flows.
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Was this the third consecutive week of inflows?
The visible data cannot confirm that. September 14-18 is incomplete, so the preceding week’s total is unknown.
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Do positive ETF flows predict a Bitcoin price rise?
No. Flows measure reported fund activity under a provider’s methodology. They do not forecast Bitcoin’s price.
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Which ETF products contributed to the total?
The available figures do not show fund-level headings, so individual products cannot be identified reliably.
