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510590
PING AN INSURANCE(GROUP)CO.OF CHINA PINGAN-UOB CSI 500 ETF
510590
Shanghai Stock Exchange
510590
Shanghai Stock Exchange
510590
Shanghai Stock Exchange
510590
Shanghai Stock Exchange
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
510590
chart
Price
NAV
More
Full chart
1 day
0.25%
5 days
−1.60%
1 month
−0.93%
6 months
13.34%
Year to date
6.75%
1 year
9.86%
5 years
14.75%
All time
2.61%
Key stats
Assets under management (AUM)
725.19 M
CNY
Fund flows (1Y)
−552.31 M
CNY
Dividend yield (indicated)
1.81%
Discount/Premium to NAV
0.09%
About PING AN INSURANCE(GROUP)CO.OF CHINA PINGAN-UOB CSI 500 ETF
Issuer
Ping An Insurance (Group) Co. of China Ltd.
Brand
Ping An
Expense ratio
0.60%
Home page
fund.pingan.com
Inception date
Mar 23, 2018
Index tracked
CSI Smallcap 500 Index
Management style
Passive
ISIN
CNE100002S15
Closely track underlying index,tightly track the target and minimize the deviation
Show more
Classification
Asset Class
Equity
Category
Size and style
Focus
Small cap
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
510590
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Electronic Technology
Producer Manufacturing
Cash
Stock breakdown by region
0.2%
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.