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276990
KODEX ROBO ETF-SYNTH
276990
Korea Stock Exchange
276990
Korea Stock Exchange
276990
Korea Stock Exchange
276990
Korea Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
276990
chart
Price
NAV
More
Full chart
1 day
−0.67%
5 days
−4.05%
1 month
−1.00%
6 months
2.69%
Year to date
−3.14%
1 year
12.61%
5 years
61.63%
All time
92.61%
Key stats
Assets under management (AUM)
22.10 B
KRW
Fund flows (1Y)
−8.07 B
KRW
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.9%
Shares outstanding
1.14 M
Expense ratio
0.30%
About KODEX ROBO ETF-SYNTH
Issuer
Samsung Life Insurance Co., Ltd.
Brand
KODEX
Home page
eng.kodex.com
Inception date
Aug 17, 2017
Index tracked
ROBO Global Robotics and Automation UCITS Index
Replication method
Synthetic
Management style
Passive
ISIN
KR7276990009
The Fund seeks to track the daily performance of ROBO Global Robotics & Automation UCITS Price Return Index
Show more
Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Vanilla
Geography
Global
Weighting scheme
Market cap
Selection criteria
Market cap
276990
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Miscellaneous
Bonds, Cash & Other
100.00%
Cash
57.28%
Miscellaneous
42.72%
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.