Get started
SSGA SPDR ETFS EUROPE I PLC SPDR BLOOM US TREAS BOND ETFSSGA SPDR ETFS EUROPE I PLC SPDR BLOOM US TREAS BOND ETFSSGA SPDR ETFS EUROPE I PLC SPDR BLOOM US TREAS BOND ETF

SSGA SPDR ETFS EUROPE I PLC SPDR BLOOM US TREAS BOND ETF

No trades
See on Supercharts
Overview
Analysis Discussions Technicals Seasonals

TRSY chart


Full chart

Key stats


Assets under management (AUM)
‪359.36 M‬ USD
Fund flows (1Y)
‪−108.56 M‬ USD
Dividend yield (indicated)
3.36%
Discount/Premium to NAV
−0.08%
Shares outstanding
‪3.77 M‬
Expense ratio
0.15%

About SSGA SPDR ETFS EUROPE I PLC SPDR BLOOM US TREAS BOND ETF


Issuer
State Street Corp.
Brand
SPDR
Home page
fr.spdrs.com
Inception date
Jun 3, 2011
Structure
Irish VCIC
Index tracked
Bloomberg U.S. Treasury Bond Index - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
State Street Global Advisors Ltd.
ISIN
IE00B44CND37
The objective of the Fund is to track the performance of the U.S. Treasury bond market.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Geography
U.S.
Weighting scheme
Market value
Selection criteria
Market value

TRSY analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government98.16%
Cash1.84%

Technicals

Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.