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487130
KOACT AI INFRA ACTIVE
487130
Korea Stock Exchange
487130
Korea Stock Exchange
487130
Korea Stock Exchange
487130
Korea Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
487130
chart
Price
NAV
More
Full chart
1 day
0.40%
5 days
−4.07%
1 month
−5.63%
6 months
−25.73%
Year to date
−25.73%
1 year
−25.73%
5 years
−25.73%
All time
−25.73%
Key stats
Assets under management (AUM)
6.47 B
KRW
Fund flows (1Y)
1.33 B
KRW
Dividend yield (indicated)
—
Discount/Premium to NAV
0.3%
About KOACT AI INFRA ACTIVE
Issuer
Samsung Life Insurance Co., Ltd.
Brand
KODEX
Home page
samsungactive.co.kr
Inception date
Jul 9, 2024
Index tracked
No Underlying Index
Management style
Active
ISIN
KR7487130007
SAMSUNGACTIVE KoAct AI Infrastructure Active ETF is actively managed ETF that seeks to outperform the daily performance of Solactive Korea AI Infrastructure index by mainly investing in companies related to AI Infrastructure.
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Active
Weighting scheme
Proprietary
Selection criteria
Proprietary
487130
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Producer Manufacturing
Electronic Technology
Technology Services
Stock breakdown by region
100%
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.