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BOSERA ASSET MANAGEMENT CO LTD SMART CONSUMPTION ETF CNYBOSERA ASSET MANAGEMENT CO LTD SMART CONSUMPTION ETF CNYBOSERA ASSET MANAGEMENT CO LTD SMART CONSUMPTION ETF CNY

BOSERA ASSET MANAGEMENT CO LTD SMART CONSUMPTION ETF CNY

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Overview
Analysis Discussions Technicals Seasonals

515920 chart


Full chart

Key stats


Assets under management (AUM)
‪202.84 M‬ CNY
Fund flows (1Y)
‪−41.57 M‬ CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
2.8%
Shares outstanding
‪233.91 M‬
Expense ratio
0.60%

About BOSERA ASSET MANAGEMENT CO LTD SMART CONSUMPTION ETF CNY


Issuer
Bosera Asset Management Co., Ltd.
Brand
Bosera
Home page
bosera.com
Inception date
Dec 30, 2020
Structure
Open-Ended Fund
Index tracked
China Securities Intelligent Consumption Theme Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
Bosera Asset Management Co., Ltd.
ISIN
CNE100004DD5
Tightly track the target index, and pursue the minimization of tracking deviation and tracking err.

Classification


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

515920 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Electronic Technology
Consumer Durables
Producer Manufacturing
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.