BAMA, the Brookstone Active ETF ($46 million), sits in StoryVector’s Beta Book: a manager chooses its holdings without a stated theme. It carries no market story, so it is not ranked against one. Over the past year it returned +10.9%, against +16.8% for broad US ETFs. Figures to October 2, 2026; past performance, not a recommendation.
BAMA · the ETFFRI OCT 2Market price total return
+15.7% a yearTotal return since launch, October 2023
+10.9%Last 12 months
+9.2%Year to date
10.4%Volatility since launch
Checked, and added to the Beta Book
A manager chooses its holdings without a stated theme.
We check every ETF against the 22 narratives. This one follows the market, a factor or a manager’s choices rather than a story, so it has no narrative and no Share of Narrative. See the narratives on the board → · See the whole Beta Book →
FRI OCT 2MARKET PRICE TOTAL RETURN
1M
3M
YTD
1Y
3Y*
5Y*
BAMA
+0.3%
+1.8%
+9.2%
+10.9%
–
–
The marketbroad US ETFs
+0.8%
+2.6%
+14.6%
+16.8%
+22.9%
+12.9%
1M, 3M, 1Y, 3Y, 5Y: one month to five years. YTD: year to date. * A year, annualised. A dash means the ETF has not traded for the whole period. Since it started trading on October 3, 2023: +15.7% a year.
$10,000 invested October 31, 2023
BAMA $15,534The market $19,042
Year by year
BAMAThe market
Total return in each calendar year; this year is year to date. A year appears only if BAMA traded for all of it.
Total return on the market price, with each distribution reinvested on its ex-date. Not the NAV return the issuer publishes; the two differ when the ETF trades above or below the value of its holdings. The market is the asset-weighted return of broad US index ETFs. Past performance is no guarantee of future results.
FRI OCT 2MARKET PRICE TOTAL RETURN
How closely it moves
With the market0.98
−1 opposite0 unrelated+1 in step
BAMA moves closely with the market. When the market has moved 1%, BAMA has tended to move 0.65%.
Narrative figures are from the weekly board. Performance is market price total return as of October 2, 2026. Assets are StoryVector’s weekly figure. Classification and measurement. Not investment advice. How the measurement works →