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562360
YINHUA FUND MANAGEMENT CO LTD CSI ROBOT IDX ETF CNY
562360
Shanghai Stock Exchange
562360
Shanghai Stock Exchange
562360
Shanghai Stock Exchange
562360
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
562360
chart
Price
NAV
More
Full chart
1 day
−2.84%
5 days
0.34%
1 month
1.14%
6 months
35.99%
Year to date
4.72%
1 year
29.82%
5 years
−10.93%
All time
−10.93%
Key stats
Assets under management (AUM)
—
Fund flows (1Y)
−32.01 K
CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
1.2%
Shares outstanding
—
Expense ratio
0.60%
About YINHUA FUND MANAGEMENT CO LTD CSI ROBOT IDX ETF CNY
Issuer
Yinhua Fund Management Co., Ltd.
Brand
Yinhua
Home page
yhfund.com.cn
Inception date
Sep 22, 2021
Structure
Open-Ended Fund
Index tracked
CSI Robot Index - CNY - Benchmark TR Net
Replication method
Physical
Management style
Passive
Primary advisor
Yinhua Fund Management Co., Ltd.
ISIN
CNE100004X40
The Fund adopts passive indexation investment, closely tracks the index of the underlying object, and seeks tracking deviation and tracking errMinimize
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
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.