Get started
LEGAL & GENERAL UCITS ETF PUBLIC LIMITED COMPANY L&G ISE CYBER SECURITY GO UCITS ETFLEGAL & GENERAL UCITS ETF PUBLIC LIMITED COMPANY L&G ISE CYBER SECURITY GO UCITS ETFLEGAL & GENERAL UCITS ETF PUBLIC LIMITED COMPANY L&G ISE CYBER SECURITY GO UCITS ETF

LEGAL & GENERAL UCITS ETF PUBLIC LIMITED COMPANY L&G ISE CYBER SECURITY GO UCITS ETF

No trades
See on Supercharts
Overview
Analysis Ideas Discussions Technicals Seasonals

ISPY chart


Full chart

Key stats


Assets under management (AUM)
‪1.89 B‬ GBP
Fund flows (1Y)
‪−54.84 B‬ GBP
Dividend yield (indicated)
—
Discount/Premium to NAV
0.2%

About LEGAL & GENERAL UCITS ETF PUBLIC LIMITED COMPANY L&G ISE CYBER SECURITY GO UCITS ETF


Issuer
Legal & General Group Plc
Brand
L&G
Expense ratio
0.69%
Home page
fundcentres.lgim.com
Inception date
Sep 28, 2015
Index tracked
ISE Cyber Security UCITS Index
Management style
Passive
ISIN
IE00BYPLS672
The L&G Cyber Security UCITS ETF (the ETF) aims to track the performance of the ISE Cyber Security UCITS Index (the Index).

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Cybersecurity
Strategy
ESG
Weighting scheme
Tiered
Selection criteria
Principles-based

ISPY analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Stock breakdown by region
93%0.5%6%

Technicals

Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.