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ROBO
L&G GLOBAL ROBO AND AUTO UCITS ETF
ROBO
Euronext Milan
ROBO
Euronext Milan
ROBO
Euronext Milan
ROBO
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
ROBO
chart
Price
NAV
More
Full chart
1 day
−0.11%
5 days
0.32%
1 month
8.11%
6 months
6.39%
Year to date
5.09%
1 year
13.19%
5 years
52.52%
All time
167.03%
Key stats
Assets under management (AUM)
667.73 M
EUR
Fund flows (1Y)
−242.36 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.06%
About L&G GLOBAL ROBO AND AUTO UCITS ETF
Issuer
Legal & General Group Plc
Brand
L&G
Expense ratio
0.80%
Home page
fundcentres.lgim.com
Inception date
Oct 27, 2014
Index tracked
ROBO Global Robotics and Automation UCITS Index
Management style
Passive
ISIN
IE00BMW3QX54
The L&G ROBO Global Robotics and Automation UCITS ETF (theFund) is an exchange traded fund (ETF) that aims to track theperformance of the ROBO Global Robotics and Automation UCITSIndex (the Index).
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Classification
Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Equal
Weighting scheme
Proprietary
Selection criteria
Proprietary
ROBO
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Producer Manufacturing
Electronic Technology
Technology Services
Stock breakdown by region
52%
20%
27%
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.