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HUATAI-PINEBRIDGE FUND MANAGEMENT CSI INTERNET OF THINGS ETF CNYHUATAI-PINEBRIDGE FUND MANAGEMENT CSI INTERNET OF THINGS ETF CNYHUATAI-PINEBRIDGE FUND MANAGEMENT CSI INTERNET OF THINGS ETF CNY

HUATAI-PINEBRIDGE FUND MANAGEMENT CSI INTERNET OF THINGS ETF CNY

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Overview
Analysis Discussions Technicals Seasonals

516330 chart


Full chart

Key stats


Assets under management (AUM)
—
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.5%
Shares outstanding
—
Expense ratio
0.60%

About HUATAI-PINEBRIDGE FUND MANAGEMENT CSI INTERNET OF THINGS ETF CNY


Issuer
Huatai-PineBridge Fund Management Co., Ltd.
Brand
Huatai
Home page
huatai-pb.com
Inception date
Mar 31, 2021
Structure
Open-Ended Fund
Index tracked
CSI Internet of Things Index - CNY
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Primary advisor
Huatai-PineBridge Fund Management Co., Ltd.
ISIN
CNE100004SQ5
Tightly track the index performance of the target, and pursue the minimization of tracking deviation and tracking err. The Fund strives to control the daily average tracking deviation within 0.2%, and the annualized tracking err within 2%.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Internet
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap

Technicals


Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.

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