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518890
BANK OF CHINA INVESTMENT MANAGEMENT SHAU ETF CNY
518890
Shanghai Stock Exchange
518890
Shanghai Stock Exchange
518890
Shanghai Stock Exchange
518890
Shanghai Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
518890
chart
Price
NAV
More
Full chart
1 day
0.00%
5 days
−0.12%
1 month
6.17%
6 months
18.84%
Year to date
10.05%
1 year
41.42%
5 years
64.29%
All time
64.29%
Key stats
Assets under management (AUM)
—
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
—
Shares outstanding
—
Expense ratio
0.60%
About BANK OF CHINA INVESTMENT MANAGEMENT SHAU ETF CNY
Issuer
Bank of China Investment Management Co., Ltd.
Brand
BOC
Home page
bocim.com
Inception date
Aug 28, 2020
Structure
Open-Ended Fund
Index tracked
Shanghai Gold Exchange Index - CNY - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
Bank of China Investment Management Co., Ltd.
ISIN
CNE100003V01
The fund closely tracks the performance of spot gold prices in China, primarily through investments in the shares of target ETFs
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Classification
Asset Class
Commodities
Category
Precious metals
Focus
Gold
Niche
Physically held
Strategy
Vanilla
Geography
China
Weighting scheme
Single asset
Selection criteria
Single asset
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.