ProShares Ultra Bloomberg Natural GasProShares Ultra Bloomberg Natural GasProShares Ultra Bloomberg Natural Gas

ProShares Ultra Bloomberg Natural Gas

No trades
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Key stats


Assets under management (AUM)
‪499.96 M‬USD
Fund flows (1Y)
‪352.63 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
−0.2%

About ProShares Ultra Bloomberg Natural Gas


Issuer
ProShare Advisors LLC
Brand
ProShares
Expense ratio
0.95%
Home page
Inception date
Oct 4, 2011
Index tracked
Bloomberg Natural Gas
Management style
Passive
BOIL is a leveraged ETF, and like all geared products, is intended to be held only short periods, its not appropriate for buy-and-hold investors. BOIL provides 2x the return of a futures-based natural gas index on a daily basis. Daily compounding of returns can lead to the fund's returns varying significantly from the 2x exposure to the index over longer holding periods. Index returns reflect both the price changes on its futures contracts as well as any gain or loss from rolling those futures contracts. BOIL is a tactical tool, so trading costs and volume matter.

Classification


Asset Class
Commodities
Category
Energy
Focus
Natural gas
Niche
Extended term
Strategy
Extended term
Weighting scheme
Single asset
Selection criteria
Single asset
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Bonds, Cash & Other100.00%
Cash100.00%
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.