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SILV
GLOBAL X SILVER MINERS UCITS ETF
SILV
Euronext Milan
SILV
Euronext Milan
SILV
Euronext Milan
SILV
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
SILV
chart
Price
NAV
More
Full chart
1 day
0.78%
5 days
−3.35%
1 month
−11.86%
6 months
5.10%
Year to date
28.14%
1 year
36.54%
5 years
14.89%
All time
14.89%
Key stats
Assets under management (AUM)
141.06 M
EUR
Fund flows (1Y)
108.92 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.5%
About GLOBAL X SILVER MINERS UCITS ETF
Issuer
Global Beta Advisors LLC
Brand
Global X
Expense ratio
0.65%
Home page
globalxetfs.eu
Inception date
May 4, 2022
Index tracked
Stuttgart Solactive AG Global Silver Miners (USD)
Management style
Passive
ISIN
IE000UL6CLP7
The investment objective of the Fund is to provide investment results that closely correspond, before fees and expenses, generally to the price and yield performance of the Solactive Global Silver Miners Total Return v2 Index (the Index).
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Classification
Asset Class
Equity
Category
Sector
Focus
Energy
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
SILV
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Non-Energy Minerals
Stock breakdown by region
1%
83%
4%
10%
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.