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159531
CHINA SOUTHERN FUN
159531
Shenzhen Stock Exchange
159531
Shenzhen Stock Exchange
159531
Shenzhen Stock Exchange
159531
Shenzhen Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
159531
chart
Price
NAV
More
Full chart
1 day
1.49%
5 days
1.59%
1 month
9.63%
6 months
33.29%
Year to date
2.40%
1 year
47.06%
5 years
4.06%
All time
4.06%
Key stats
Assets under management (AUM)
718.73 M
CNY
Fund flows (1Y)
401.85 M
CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
1.3%
Shares outstanding
720.61 M
Expense ratio
0.60%
About CHINA SOUTHERN FUN
Issuer
China Southern Asset Management Co., Ltd.
Brand
China CSI
Home page
nffund.com
Inception date
Sep 7, 2023
Structure
Open-Ended Fund
Index tracked
CSI 2000 Index Return Rate - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
China Southern Asset Management Co., Ltd.
ISIN
CNE100006749
Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap
159531
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Producer Manufacturing
Electronic Technology
Process Industries
Stock breakdown by region
0%
0.1%
99%
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.