Direxion Daily Energy Bear 2X SharesDirexion Daily Energy Bear 2X SharesDirexion Daily Energy Bear 2X Shares

Direxion Daily Energy Bear 2X Shares

No trades
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Key stats


Assets under management (AUM)
‪22.24 M‬USD
Fund flows (1Y)
‪−3.85 M‬USD
Dividend yield (indicated)
5.05%
Discount/Premium to NAV
−1.4%

About Direxion Daily Energy Bear 2X Shares


Issuer
Rafferty Asset Management LLC
Brand
Direxion
Expense ratio
1.08%
Home page
Inception date
Nov 6, 2008
Index tracked
Energy Select Sector
Management style
Passive
ERY, thru derivative instruments, provides daily 2x inverse exposure to the S&P Energy Select Sector Index, a constituency of energy companies derived from the S&P 500. Remember that this is an extremely concentrated sector, and includes industries such as oil, gas and consumable fuels, and energy equipment and services. The fund is designed to be a short-term trading vehicle and rebalances daily. As a result, compounding and path dependency lead to a lack of predictability in the fund's long-term returns. Prior to March 31, 2020, the fund name was Direxion Daily Energy Bear 3X Shares.

Classification


Asset Class
Equity
Category
Sector
Focus
Energy
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Committee
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Bonds, Cash & Other100.00%
Cash100.00%

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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.