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Markets
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United Kingdom
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ETF market
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FDN
FIRST TRUST GLOBAL FUNDS PLC DOW JONES INTERNET UCITS ETF A USD ACC
FDN
London Stock Exchange
FDN
London Stock Exchange
FDN
London Stock Exchange
FDN
London Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
FDN
chart
Price
NAV
More
Full chart
1 day
0.25%
5 days
0.09%
1 month
10.12%
6 months
25.84%
Year to date
31.39%
1 year
40.31%
5 years
86.39%
All time
76.98%
Key stats
Assets under management (AUM)
30.15 M
GBP
Fund flows (1Y)
−1.12 B
GBP
Dividend yield (indicated)
—
Discount/Premium to NAV
0.2%
About FIRST TRUST GLOBAL FUNDS PLC DOW JONES INTERNET UCITS ETF A USD ACC
Issuer
AJM Ventures LLC
Brand
First Trust
Expense ratio
0.55%
Home page
ftglobalportfolios.com
Inception date
Jun 18, 2018
Index tracked
Dow Jones Internet Composite Index
Management style
Passive
ISIN
IE00BG0SSC32
The fund seeks to provide investors with investment results that correspond generally to the price and yiel of an equity index.
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Internet
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
FDN
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Technology Services
Retail Trade
Stock breakdown by region
100%
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.