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GBLX LNAS ETF UNITSGBLX LNAS ETF UNITSGBLX LNAS ETF UNITS

GBLX LNAS ETF UNITS

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Overview
Analysis Holdings News Discussions Technicals Seasonals

LNAS chart


Full chart

Key stats


Assets under management (AUM)
‪72.50 M‬ AUD
Fund flows (1Y)
‪26.76 M‬ AUD
Dividend yield (indicated)
33.95%
Discount/Premium to NAV
−0.6%
Shares outstanding
‪10.25 M‬
Expense ratio
1.00%

About GBLX LNAS ETF UNITS


Issuer
ETFS Capital Ltd.
Brand
ETFS
Home page
etfsecurities.com.au
Inception date
Jul 13, 2020
Index tracked
No Underlying Index
Replication method
Synthetic
Management style
Active
Dividend treatment
Distributes
Primary advisor
Global X Management (AUS) Ltd.
ISIN
AU0000087728
Global X Ultra Long Nasdaq 100 Complex ETF (ASX Code: LNAS) is an exchange traded managed fund that aims to provide investors with geared returns that are positively related to the returns of the Nasdaq-100 Index. The fund provides exposure to the Nasdaq-100 Index of between 200% and 275% of its net asset value.

Classification


Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Active
Geography
U.S.
Weighting scheme
Proprietary
Selection criteria
Proprietary

LNAS analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Bonds, Cash & Other100.00%
Cash100.00%
Top 10 holdings

LNAS 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.

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