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560330
SWS MU FUND MANAGEMENT CO LTD CSI 300 VALUE INDEX ETF CNY
560330
Shanghai Stock Exchange
560330
Shanghai Stock Exchange
560330
Shanghai Stock Exchange
560330
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
560330
chart
Price
NAV
More
Full chart
1 day
0.36%
5 days
0.18%
1 month
−3.10%
6 months
10.96%
Year to date
−3.44%
1 year
23.11%
5 years
13.54%
All time
13.54%
Key stats
Assets under management (AUM)
—
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
—
Shares outstanding
—
Expense ratio
0.60%
About SWS MU FUND MANAGEMENT CO LTD CSI 300 VALUE INDEX ETF CNY
Issuer
Shenwan Hongyuan Group Co., Ltd.
Brand
SWS
Home page
swsmu.com
Inception date
May 11, 2023
Structure
Open-Ended Fund
Index tracked
CSI 300 Value Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
ISIN
CNE100006129
Tightly track the target index, and pursue the minimization of tracking deviation and tracking err.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Value
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap
560330
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
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.