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HWABAO WP FUND MANAGEMENT CO LTD CSI GREEN ENERGY INDEX ETF CNYHWABAO WP FUND MANAGEMENT CO LTD CSI GREEN ENERGY INDEX ETF CNYHWABAO WP FUND MANAGEMENT CO LTD CSI GREEN ENERGY INDEX ETF CNY

HWABAO WP FUND MANAGEMENT CO LTD CSI GREEN ENERGY INDEX ETF CNY

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Overview
Analysis Discussions Technicals Seasonals

562010 chart


Full chart

Key stats


Assets under management (AUM)
—
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.6%
Shares outstanding
—
Expense ratio
0.60%

About HWABAO WP FUND MANAGEMENT CO LTD CSI GREEN ENERGY INDEX ETF CNY


Issuer
Hwabao WP Fund Management Co., Ltd.
Brand
Hwabao
Home page
fsfund.com
Inception date
Dec 16, 2022
Structure
Open-Ended Fund
Index tracked
CSI Green Power Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
Hwabao WP Fund Management Co., Ltd.
ISIN
CNE100005T78
Closely track underlying index,Tightly track the target and minimize the deviation.

Classification


Asset Class
Equity
Category
Sector
Focus
Energy
Niche
Broad-based
Strategy
Vanilla
Geography
China
Weighting scheme
Market cap
Selection criteria
Market cap

562010 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Producer Manufacturing
Utilities
Electronic Technology
Process Industries
Stock breakdown by region
100%

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.