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XCS6
Xtrackers MSCI CHINA UCITS ETF Capitalisation 1C
XCS6
Deutsche Borse Xetra
XCS6
Deutsche Borse Xetra
XCS6
Deutsche Borse Xetra
XCS6
Deutsche Borse Xetra
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
XCS6
chart
Price
NAV
More
Full chart
1 day
0.41%
5 days
1.65%
1 month
1.59%
6 months
14.54%
Year to date
27.37%
1 year
27.24%
5 years
−13.43%
All time
70.94%
Key stats
Assets under management (AUM)
967.42 M
EUR
Fund flows (1Y)
−15.17 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.1%
About Xtrackers MSCI CHINA UCITS ETF Capitalisation 1C
Issuer
Deutsche Bank AG
Brand
Xtrackers
Expense ratio
0.65%
Home page
etf.dws.com
Inception date
Jun 24, 2010
Index tracked
MSCI China
Management style
Passive
ISIN
LU0514695690
The aim is for your investment to reflect the performance of the MSCI China TRN Index (the Reference Index) which is designed to reflect the performance of the shares of certain companies in or connected to China.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
XCS6
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Technology Services
Finance
Retail Trade
Stock breakdown by region
6%
93%
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.