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EL4X
Deka DAXplus Maximum Dividend UCITS ETF
EL4X
Deutsche Borse Xetra
EL4X
Deutsche Borse Xetra
EL4X
Deutsche Borse Xetra
EL4X
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
EL4X
chart
Price
NAV
More
Full chart
1 day
−0.18%
5 days
−3.66%
1 month
1.16%
6 months
−9.12%
Year to date
−8.03%
1 year
−7.63%
5 years
−20.53%
All time
−21.85%
Key stats
Assets under management (AUM)
239.51 M
EUR
Fund flows (1Y)
−24.03 M
EUR
Dividend yield (indicated)
7.57%
Discount/Premium to NAV
−0.2%
About Deka DAXplus Maximum Dividend UCITS ETF
Issuer
Deutscher Sparkassen-und Giroverband eV
Brand
Deka
Expense ratio
0.30%
Home page
deka-etf.de
Inception date
Apr 3, 2009
Index tracked
DAXplus Maximum Dividend Index - EUR
Management style
Passive
ISIN
DE000ETFL235
The index invests in 20 German stock corporations, as well as foreign companies operating predominantly in Germany
Show more
Classification
Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Dividends
Weighting scheme
Dividends
Selection criteria
Dividends
EL4X
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Producer Manufacturing
Consumer Durables
Transportation
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.