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AW1F
MSCI USA ESG Universal Low Carbon Select UCITS ETF
AW1F
Deutsche Borse Xetra
AW1F
Deutsche Borse Xetra
AW1F
Deutsche Borse Xetra
AW1F
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
AW1F
chart
Price
NAV
More
Full chart
1 day
0.55%
5 days
−0.31%
1 month
−1.82%
6 months
11.73%
Year to date
−0.04%
1 year
32.40%
5 years
53.07%
All time
53.07%
Key stats
Assets under management (AUM)
2.98 M
EUR
Fund flows (1Y)
−5.84 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.08%
Shares outstanding
154.42 K
Expense ratio
0.07%
About MSCI USA ESG Universal Low Carbon Select UCITS ETF
Issuer
UBS Group AG
Brand
UBS
Home page
ubs.com
Inception date
Jul 20, 2021
Structure
Irish SICAV
Index tracked
MSCI USA ESG Universal Low Carbon Select 5% Issuer Capped Index
Replication method
Physical
Management style
Passive
ISIN
IE00BNC0M350
Functions as an open-end investment fund
Show more
Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
ESG
Geography
U.S.
Weighting scheme
Market cap
Selection criteria
Principles-based
AW1F
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Technology Services
Electronic Technology
Finance
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.