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DB58
XTRACKERS INDONESIA UCITS ETF
DB58
Vienna Stock Exchange
DB58
Vienna Stock Exchange
DB58
Vienna Stock Exchange
DB58
Vienna Stock Exchange
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
DB58
chart
Price
NAV
More
Full chart
1 day
−0.13%
5 days
2.07%
1 month
−3.51%
6 months
−1.19%
Year to date
−9.93%
1 year
−8.90%
5 years
4.38 K%
All time
723.93%
Key stats
Assets under management (AUM)
42.08 M
EUR
Fund flows (1Y)
−935.11 K
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.2%
About XTRACKERS INDONESIA UCITS ETF
Issuer
Deutsche Bank AG
Brand
Xtrackers
Expense ratio
0.65%
Home page
etf.dws.com
Inception date
Mar 2, 2010
Index tracked
MSCI Indonesia
Management style
Passive
ISIN
LU0476289623
The aim is for your investment to reflect the performance of the MSCI Indonesia TRN Index (the Reference Index) which is designed to reflect the performance of the shares of certain companies in Indonesia.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
DB58
analysis
What's in the fund
Exposure type
Stocks
Health Technology
Retail Trade
Technology Services
Electronic Technology
Stock breakdown by region
87%
3%
8%
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.