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LEVERAGE SHARES -3X SHORT ALIBABA ETPLEVERAGE SHARES -3X SHORT ALIBABA ETPLEVERAGE SHARES -3X SHORT ALIBABA ETP

LEVERAGE SHARES -3X SHORT ALIBABA ETP

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Overview
Analysis News Discussions Technicals Seasonals

SBA3 chart


Full chart

Key stats


Assets under management (AUM)
‪347.48 K‬ EUR
Fund flows (1Y)
‪161.87 K‬ EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−1.4%
Shares outstanding
‪3.98 M‬
Expense ratio
4.78%

About LEVERAGE SHARES -3X SHORT ALIBABA ETP


Issuer
Leverage Shares LLC
Brand
Leverage Shares
Home page
leverageshares.com
Inception date
Jun 9, 2022
Structure
Special Purpose Vehicle
Index tracked
iSTOXX Inverse Leveraged -3X BABA (USD)(NR)
Replication method
Physical
Management style
Passive
Primary advisor
Leverage Shares Management Co. Ltd.
ISIN
XS2472334585
The Leverage Shares -3x Short Alibaba (BABA) ETP Securities seeks to track the iSTOXX 3x Inverse Leveraged BABA Index, which is designed to provide -3x the daily return of Alibaba Group Holding Ltd.

Classification


Asset Class
Equity
Category
Sector
Focus
Consumer discretionary
Niche
Broadline retail
Strategy
Vanilla
Geography
China
Weighting scheme
Single asset
Selection criteria
Single asset

SBA3 analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Bonds, Cash & Other100.00%
Cash399.98%
Miscellaneous−299.98%

SBA3 news



Technicals


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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.