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516700
HWABAO WP FUND MANAGEMENT CO LTD HWABAO WP CSI BIG DATA INDUSTRY IND
516700
Shanghai Stock Exchange
516700
Shanghai Stock Exchange
516700
Shanghai Stock Exchange
516700
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
516700
chart
Price
NAV
More
Full chart
1 day
7.65%
5 days
3.64%
1 month
35.39%
6 months
102.13%
Year to date
30.14%
1 year
62.62%
5 years
14.11%
All time
14.11%
Key stats
Assets under management (AUM)
97.82 M
CNY
Fund flows (1Y)
41.33 M
CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
7.5%
Shares outstanding
92.12 M
Expense ratio
0.60%
About HWABAO WP FUND MANAGEMENT CO LTD HWABAO WP CSI BIG DATA INDUSTRY IND
Issuer
Hwabao WP Fund Management Co., Ltd.
Brand
Hwabao
Home page
fsfund.com
Inception date
May 11, 2021
Structure
Open-Ended Fund
Index tracked
CSI Big Data Industry Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
Hwabao WP Fund Management Co., Ltd.
ISIN
CNE100004TM2
Closely track underlying index,Tightly track the target and minimize the deviation.
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Classification
Asset Class
Equity
Category
Sector
Focus
Industrials
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.