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450180
KODEX KR CH NEW ENERGY VEHICLES(SYNTH)
450180
Korea Stock Exchange
450180
Korea Stock Exchange
450180
Korea Stock Exchange
450180
Korea Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
450180
chart
Price
NAV
More
Full chart
1 day
1.99%
5 days
3.52%
1 month
1.41%
6 months
2.57%
Year to date
2.16%
1 year
1.64%
5 years
−9.62%
All time
−9.62%
Key stats
Assets under management (AUM)
6.20 B
KRW
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
0.7%
About KODEX KR CH NEW ENERGY VEHICLES(SYNTH)
Issuer
Samsung Life Insurance Co., Ltd.
Brand
Samsung
Expense ratio
0.31%
Home page
m.eng.kodex.com
Inception date
Dec 22, 2022
Index tracked
No Underlying Index
Management style
Passive
ISIN
KR7450180005
KODEX Korea China New Energy Vehicles(SYNTH) seeks to track the daily performance of the KRX CSI Korea China New Energy Vehicles Index(KRW) by mainly investing in OTC derivative products as its major investment asset.
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Mobility
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
450180
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Miscellaneous
Bonds, Cash & Other
100.00%
Cash
50.02%
Miscellaneous
49.98%
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.