United States 12 Month OilUnited States 12 Month OilUnited States 12 Month Oil

United States 12 Month Oil

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Key stats


Assets under management (AUM)
‪57.13 M‬USD
Fund flows (1Y)
‪−18.47 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
−2.4%

About United States 12 Month Oil


Issuer
The Marygold Cos, Inc.
Brand
US Commodity Funds
Expense ratio
0.85%
Inception date
Dec 6, 2007
Index tracked
12 Month Light Sweet Crude Oil
Management style
Passive
USL offers an alternative method of exposure to oil in a viable vehicle. The fund brings an alternative futures strategy to the table that's had some success. In an effort to beat contango the decay of exposure to oil when the futures curve is up sloping the fund takes a position in 12 different futures contracts, one for each upcoming month. This will mean it will have less sensitivity to short-term moves in spot oil. Investors should consider using limit orders to manage spreads. USLs legal structure isnt unusual in the commodities space, but it does change the tax structure and result in a K-1 at tax time.

Classification


Asset Class
Commodities
Category
Energy
Focus
Crude oil
Niche
Laddered
Strategy
Laddered
Weighting scheme
Single asset
Selection criteria
Single asset
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Futures
Bonds, Cash & Other100.00%
Cash51.41%
Futures48.59%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.