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SPLW
INVESCO S&P 500 LOW VOLATILITY UCITS ETF
SPLW
Euronext Milan
SPLW
Euronext Milan
SPLW
Euronext Milan
SPLW
Euronext Milan
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
SPLW
chart
Price
NAV
More
Full chart
1 day
0.18%
5 days
−1.42%
1 month
−5.06%
6 months
10.69%
Year to date
19.09%
1 year
21.37%
5 years
19.36%
All time
19.36%
Key stats
Assets under management (AUM)
30.86 M
EUR
Fund flows (1Y)
13.31 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.6%
About INVESCO S&P 500 LOW VOLATILITY UCITS ETF
Issuer
Invesco Ltd.
Brand
Invesco
Expense ratio
0.25%
Home page
etf.invesco.com
Inception date
Jul 13, 2021
Index tracked
S&P 500 Low Volatility
Management style
Passive
ISIN
IE00BKW9SX35
The Fund is a passively managed Exchange-Traded Fund (ETF), which aims to track the total return performance of the S&P 500 Low Volatility Index (the Index) , less fees, expenses and transaction costs
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Classification
Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Low volatility
Weighting scheme
Volatility
Selection criteria
Volatility
SPLW
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Utilities
Consumer Non-Durables
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.