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3175
SAMSUNG ASSET MGT (HONG KONG) LTD S&P GSCI CRUDE OIL ER FUTURES ETF
3175
Hong Kong Exchange
3175
Hong Kong Exchange
3175
Hong Kong Exchange
3175
Hong Kong Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
3175
chart
Price
NAV
More
Full chart
1 day
0.15%
5 days
1.95%
1 month
−2.72%
6 months
−4.91%
Year to date
5.60%
1 year
1.34%
5 years
−42.79%
All time
−44.20%
Key stats
Assets under management (AUM)
457.82 M
HKD
Fund flows (1Y)
−90.93 M
HKD
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.9%
About SAMSUNG ASSET MGT (HONG KONG) LTD S&P GSCI CRUDE OIL ER FUTURES ETF
Issuer
Samsung Life Insurance Co., Ltd.
Brand
Samsung
Expense ratio
1.60%
Home page
samsungetf.com.hk
Inception date
Apr 29, 2016
Index tracked
S&P GSCI Crude Oil
Management style
Passive
ISIN
HK0000291432
The investment objective of each Sub-Fund is to provide investment results that, before fees and expenses, closely correspond to the performance of the relevant Index.
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Classification
Asset Class
Commodities
Category
Energy
Focus
Crude oil
Niche
Laddered
Strategy
Laddered
Weighting scheme
Single asset
Selection criteria
Single asset
3175
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Bonds, Cash & Other
100.00%
Cash
92.41%
ETF
6.74%
Futures
0.85%
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.