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ETF market
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SYB3
SPDR Bloomberg 1-3 Year Euro Government Bond UCITS ETF EUR
SYB3
Deutsche Borse Xetra
SYB3
Deutsche Borse Xetra
SYB3
Deutsche Borse Xetra
SYB3
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
SYB3
chart
Price
NAV
More
Full chart
1 day
−0.09%
5 days
0.01%
1 month
0.36%
6 months
2.61%
Year to date
3.03%
1 year
3.09%
5 years
0.09%
All time
5.41%
Key stats
Assets under management (AUM)
930.55 M
EUR
Fund flows (1Y)
377.84 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.07%
About SPDR Bloomberg 1-3 Year Euro Government Bond UCITS ETF EUR
Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.15%
Home page
ssga.com
Inception date
Nov 14, 2011
Index tracked
Bloomberg Euro 1-3 Year Treasury Bond Index - EUR - Benchmark TR Gross
Management style
Passive
ISIN
IE00B6YX5F63
The objective of the Fund is to track the performance of the short-dated Eurozone government bond market.
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Classification
Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Short-term
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value
SYB3
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other
100.00%
Government
99.94%
Cash
0.06%
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.