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E FUND MANAGEMENT CO LTD CSI CLOUD COMPUTING & BIG DATA ETFE FUND MANAGEMENT CO LTD CSI CLOUD COMPUTING & BIG DATA ETFE FUND MANAGEMENT CO LTD CSI CLOUD COMPUTING & BIG DATA ETF

E FUND MANAGEMENT CO LTD CSI CLOUD COMPUTING & BIG DATA ETF

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Overview
Analysis Discussions Technicals Seasonals

516510 chart


Full chart

Key stats


Assets under management (AUM)
‪1.08 B‬ CNY
Fund flows (1Y)
‪−312.03 M‬ CNY
Dividend yield (indicated)
—
Discount/Premium to NAV
3.7%
Shares outstanding
‪997.89 M‬
Expense ratio
0.20%

About E FUND MANAGEMENT CO LTD CSI CLOUD COMPUTING & BIG DATA ETF


Issuer
E Fund Management Co., Ltd.
Brand
E Fund
Home page
efunds.com.cn
Inception date
Mar 29, 2021
Structure
Open-Ended Fund
Index tracked
China Securities Cloud Computing and Big Data Subject Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
ISIN
CNE100004SR3
Tightly track the target index, and pursue the minimization of tracking deviation and tracking err.

Classification


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

516510 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Cash
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.