HARVEST FUND MANAGEMENT HARVEST CSI SH-HK-SZ INTERNET ETFHARVEST FUND MANAGEMENT HARVEST CSI SH-HK-SZ INTERNET ETFHARVEST FUND MANAGEMENT HARVEST CSI SH-HK-SZ INTERNET ETF

HARVEST FUND MANAGEMENT HARVEST CSI SH-HK-SZ INTERNET ETF

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Key stats


Assets under management (AUM)
‪118.71 M‬CNY
Fund flows (1Y)
‪−36.90 M‬CNY
Dividend yield (indicated)
Discount/Premium to NAV
3.7%
Shares outstanding
‪191.78 M‬
Expense ratio
0.60%

About HARVEST FUND MANAGEMENT HARVEST CSI SH-HK-SZ INTERNET ETF


Issuer
Harvest Fund Management Co., Ltd.
Brand
Harvest
Home page
Inception date
Jan 25, 2021
Structure
Open-Ended Fund
Index tracked
CSI Shanghai-Hong Kong-Shenzhen Internet Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
ISIN
CNE100004FB4
The fund adopts the method of passive indexation investment, closely tracks the underlying index, tightly tracks the target and minimizes the deviation. Under normal market conditions, strive to have the absolute value of the daily average tracking deviation not exceed 0.2%, and the annualized tracking err not exceed 2%.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Internet
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Transportation
Stock breakdown by region
100%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
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Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.