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DXS1
Xtrackers II GBP Overnight Rate Swap UCITS ETF 1D Distribution
DXS1
Deutsche Borse Xetra
DXS1
Deutsche Borse Xetra
DXS1
Deutsche Borse Xetra
DXS1
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
DXS1
chart
Price
NAV
More
Full chart
1 day
−0.07%
5 days
1.00%
1 month
1.21%
6 months
3.26%
Year to date
3.18%
1 year
4.75%
5 years
3.19%
All time
−7.62%
Key stats
Assets under management (AUM)
95.36 M
EUR
Fund flows (1Y)
20.35 M
EUR
Dividend yield (indicated)
5.09%
Discount/Premium to NAV
0.3%
About Xtrackers II GBP Overnight Rate Swap UCITS ETF 1D Distribution
Issuer
Deutsche Bank AG
Brand
Xtrackers
Expense ratio
0.15%
Home page
etf.dws.com
Inception date
Oct 10, 2007
Index tracked
Deutsche Bank SONIA Index - GBP
Management style
Passive
ISIN
LU0321464652
The fund is passively managed. The aim is for your investment to reflect the performance of the SONIA TOTAL RETURN Index (index).
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Classification
Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Investment grade
Niche
Ultra-short term
Strategy
Vanilla
Weighting scheme
Single asset
Selection criteria
Single asset
DXS1
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other
100.00%
Government
98.11%
Cash
1.89%
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.