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KGNE
KraneShares MSCI China Clean Technology Index UCITS ETF USD AccumUSD
KGNE
Deutsche Borse Xetra
KGNE
Deutsche Borse Xetra
KGNE
Deutsche Borse Xetra
KGNE
Deutsche Borse Xetra
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
KGNE
chart
Price
NAV
More
Full chart
1 day
−0.90%
5 days
−1.72%
1 month
1.33%
6 months
16.69%
Year to date
0.09%
1 year
8.55%
5 years
−7.28%
All time
−7.28%
Key stats
Assets under management (AUM)
1.11 M
EUR
Fund flows (1Y)
−934.26 K
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−1.05%
About KraneShares MSCI China Clean Technology Index UCITS ETF USD AccumUSD
Issuer
China International Capital Corp. Ltd.
Brand
KraneShares
Expense ratio
0.78%
Home page
kraneshares.eu
Inception date
Oct 10, 2023
Index tracked
MSCI China IMI Environment 10/40 Index - USD - Benchmark TR Net
Management style
Passive
ISIN
IE000Y61WD48
Functions as an open-end investment fund
Show more
Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Broad technology
Strategy
ESG
Weighting scheme
Market cap
Selection criteria
Principles-based
KGNE
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Consumer Durables
Producer Manufacturing
Utilities
Technology Services
Stock breakdown by region
1%
98%
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.