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515900
BOSERA ASSET MANAGEMENT CO LTD BOSERA CSI CNT-SOES INVT ETF
515900
Shanghai Stock Exchange
515900
Shanghai Stock Exchange
515900
Shanghai Stock Exchange
515900
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
515900
chart
Price
NAV
More
Full chart
1 day
−0.27%
5 days
1.72%
1 month
2.78%
6 months
15.66%
Year to date
−1.86%
1 year
7.65%
5 years
50.71%
All time
56.79%
Key stats
Assets under management (AUM)
3.63 B
CNY
Fund flows (1Y)
−2.10 B
CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.07%
Shares outstanding
2.48 B
Expense ratio
0.20%
About BOSERA ASSET MANAGEMENT CO LTD BOSERA CSI CNT-SOES INVT ETF
Issuer
Bosera Asset Management Co., Ltd.
Brand
Bosera
Home page
bosera.com
Inception date
Sep 20, 2019
Structure
Open-Ended Fund
Index tracked
CSI Central Enterprise Innovation Driven Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
Bosera Asset Management Co., Ltd.
ISIN
CNE100003X74
Tightly track the target index, 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
Broad-based
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap
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.