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CIT
UBS SOLACTIVE CHINA TECH UCITS ETF USD A
CIT
Euronext Milan
CIT
Euronext Milan
CIT
Euronext Milan
CIT
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
CIT
chart
Price
NAV
More
Full chart
1 day
−1.36%
5 days
−0.97%
1 month
−3.94%
6 months
16.16%
Year to date
10.16%
1 year
5.04%
5 years
−51.41%
All time
499.71%
Key stats
Assets under management (AUM)
21.52 M
EUR
Fund flows (1Y)
2.97 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−1.4%
About UBS SOLACTIVE CHINA TECH UCITS ETF USD A
Issuer
UBS Group AG
Brand
UBS
Expense ratio
0.47%
Home page
ubs.com
Inception date
Mar 5, 2021
Index tracked
Solactive China Technology Index
Management style
Passive
ISIN
LU2265794276
The UBS ETF - Solactive China Technology UCITS ETF sub-fund is passively managed and will take proportionate exposure on the components of the Solactive China Technology (Net Return)
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Classification
Asset Class
Equity
Category
Sector
Focus
Information technology
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
CIT
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Technology Services
Electronic Technology
Producer Manufacturing
Health Technology
Stock breakdown by region
7%
92%
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.