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Cyber Monday sale
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Markets
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Germany
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ETF market
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DXSA
Xtrackers Euro Stoxx Quality Dividend UCITS ETF
DXSA
Deutsche Borse Xetra
DXSA
Deutsche Borse Xetra
DXSA
Deutsche Borse Xetra
DXSA
Deutsche Borse Xetra
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
DXSA
chart
Price
NAV
More
Full chart
1 day
0.60%
5 days
1.71%
1 month
−0.87%
6 months
−4.80%
Year to date
3.58%
1 year
6.11%
5 years
−2.41%
All time
−39.51%
Key stats
Assets under management (AUM)
240.71 M
EUR
Fund flows (1Y)
−10.44 M
EUR
Dividend yield (indicated)
5.10%
Discount/Premium to NAV
0.5%
About Xtrackers Euro Stoxx Quality Dividend UCITS ETF
Issuer
Deutsche Bank AG
Brand
Xtrackers
Expense ratio
0.30%
Home page
etf.deutscheam.com
Inception date
Jun 1, 2007
Index tracked
EURO STOXX Quality Dividend 50 Index - EUR
Management style
Passive
ISIN
LU0292095535
The fund is passively managed. The aim is for your investment to reflect the performance of the Euro STOXX QUALITY DIVIDEND 50 Index (index).
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Classification
Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Dividends
Weighting scheme
Dividends
Selection criteria
Dividends
DXSA
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Utilities
Stock breakdown by region
100%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.