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UNCA
FIRST TRUST US EQUITY INCOME UCITS ETF B
UNCA
Euronext Milan
UNCA
Euronext Milan
UNCA
Euronext Milan
UNCA
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
UNCA
chart
Price
NAV
More
Full chart
1 day
1.54%
5 days
2.36%
1 month
−1.07%
6 months
6.87%
Year to date
1.72%
1 year
18.09%
5 years
73.28%
All time
114.01%
Key stats
Assets under management (AUM)
34.58 M
EUR
Fund flows (1Y)
−9.43 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
2.1%
Shares outstanding
887.43 K
Expense ratio
0.55%
About FIRST TRUST US EQUITY INCOME UCITS ETF B
Issuer
AJM Ventures LLC
Brand
First Trust
Home page
ftglobalportfolios.com
Inception date
May 9, 2017
Index tracked
NASDAQ US High Equity Income Net Total Return Index - USD
Replication method
Physical
Management style
Passive
ISIN
IE00BD6GCF16
The First Trust US Equity Income UCITS ETF (the Fund) is based on the NASDAQ US High Equity Income Index (the Index)
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Classification
Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Fundamental
Geography
U.S.
Weighting scheme
Market cap
Selection criteria
Fundamental
UNCA
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Energy Minerals
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.