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United States Commodity Index Fund (USCI) ETF Holdings & Analysis

ETFOther

$107.40-0.59%
1-year price historyRange $76.07 – $108.04
52-week range$107.40
$75.87$108.17

What USCI does

The fund strives to accomplish its financial goals by committing the vast majority of its assets to the Benchmark Component Futures Contracts. This underlying index, the SDCI, is structured to mimic the returns of a broad and diverse selection of commodities.

Fund profile

Category
Other
AUM
$358.05M
Holdings
10
52-week high
$108.17
52-week low
$75.87

Top holdings

Top 1060%
HoldingWeight
DREY INST PREF GOV MM INST 654625.44%
BNY CASH RESERVE4.36%
NY Harb ULSD Fut Dec263.95%
Low Su Gasoil G Dec263.88%
SOYBEAN OIL FUTR Dec263.80%
WTI CRUDE FUTURE Dec263.80%
GASOLINE RBOB FUT Nov263.79%
BRENT CRUDE FUTR Jan273.76%
LEAN HOGS FUTURE Oct263.67%
LME PRI ALUM FUTR Jan273.61%

Geographic allocation

Other100.00%

PortView Portfolio Insights

PortView analyzes how USCI fits your actual portfolio — position weight, ETF overlap with your other funds, sector and geographic exposure, concentration, and how this fund contributes to your portfolio risk and return. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.

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Frequently asked questions

What does USCI track?
USCI is the United States Commodity Index Fund, a Other ETF.
What is the expense ratio of USCI?
Expense ratio data for USCI is shown on the page when available from our data provider.
What are the largest holdings in USCI?
Top holdings include DREY INST PREF GOV MM INST 6546, BNY CASH RESERVE, NY Harb ULSD Fut Dec26, Low Su Gasoil G Dec26, SOYBEAN OIL FUTR Dec26.
How can PortView analyze USCI overlap with other ETFs?
PortView computes the holdings overlap between USCI and the other ETFs and stocks you own, plus your combined sector and geographic exposure, so you can see true diversification.

The information provided by PortView is for informational and educational purposes only and does not constitute investment advice. Market data may be delayed. Past performance does not guarantee future results.