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515980
HARFOR FUND MANAGEMENT CO LTD HF CSI AI INDUSTRY ETF
515980
Shanghai Stock Exchange
515980
Shanghai Stock Exchange
515980
Shanghai Stock Exchange
515980
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
515980
chart
Price
NAV
More
Full chart
1 day
−1.90%
5 days
6.39%
1 month
14.40%
6 months
31.59%
Year to date
27.85%
1 year
24.76%
5 years
−7.27%
All time
−7.44%
Key stats
Assets under management (AUM)
1.72 B
CNY
Fund flows (1Y)
478.92 M
CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
6.3%
About HARFOR FUND MANAGEMENT CO LTD HF CSI AI INDUSTRY ETF
Issuer
Harfor Fund Management Co., Ltd.
Brand
Harfor
Expense ratio
0.60%
Home page
cninfo.com.cn
Inception date
Dec 24, 2019
Index tracked
CSI Artificial Intelligence Industry Index - CNY - Benchmark TR Gross
Management style
Passive
ISIN
CNE100003WF2
The Fund adopts an index-based investment strategy and closely tracks the China Securities Artificial Intelligence Industry Index.
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Internet
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
515980
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Electronic Technology
Technology Services
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.