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XUTD
XTRACKERS II US TREASURIES UCITS ETF
XUTD
Euronext Milan
XUTD
Euronext Milan
XUTD
Euronext Milan
XUTD
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
XUTD
chart
Price
NAV
More
Full chart
1 day
−0.21%
5 days
−0.50%
1 month
−0.89%
6 months
0.55%
Year to date
−0.08%
1 year
1.28%
5 years
−12.19%
All time
−2.16%
Key stats
Assets under management (AUM)
1.40 B
EUR
Fund flows (1Y)
311.86 M
EUR
Dividend yield (indicated)
3.61%
Discount/Premium to NAV
−0.01%
About XTRACKERS II US TREASURIES UCITS ETF
Issuer
Deutsche Bank AG
Brand
Xtrackers
Expense ratio
0.07%
Home page
etf.dws.com
Inception date
Jul 7, 2009
Index tracked
iBoxx USD Treasuries
Management style
Passive
ISIN
LU0429459356
The fund is passively managed. The aim is for your investment to reflect the performance of the IBOXX $ TREASURIES Index (index), while seeking to minimise foreign currency fluctuations at share class level.
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Classification
Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Intermediate
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value
XUTD
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other
100.00%
Government
100.19%
Mutual fund
0.40%
Cash
−0.59%
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.