GLOBAL X ETFS ICAV GLOBAL X ETFS ICAV ROBOTICS & ARTIFICIALGLOBAL X ETFS ICAV GLOBAL X ETFS ICAV ROBOTICS & ARTIFICIALGLOBAL X ETFS ICAV GLOBAL X ETFS ICAV ROBOTICS & ARTIFICIAL

GLOBAL X ETFS ICAV GLOBAL X ETFS ICAV ROBOTICS & ARTIFICIAL

No trades
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Key stats


Assets under management (AUM)
‪8.51 M‬GBP
Fund flows (1Y)
‪−238.43 K‬GBP
Dividend yield (indicated)
0.25%
Discount/Premium to NAV
−1.02%
Shares outstanding
‪401.51 K‬
Expense ratio
0.50%

About GLOBAL X ETFS ICAV GLOBAL X ETFS ICAV ROBOTICS & ARTIFICIAL


Issuer
Mirae Asset Global Investments Co., Ltd.
Brand
Global X
Inception date
Nov 16, 2021
Index tracked
Indxx Global Robotics & Artificial Intelligence Thematic Index
Replication method
Physical
Management style
Passive
ISIN
IE00BLCHJC08
The Funds investment objective is to generate returns that closely correspond, before fees and expenses, generally to the price and yield performance of the Indxx Global Robotics & Artificial Intelligence Thematic v2 Index (the Index).

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Vanilla
Geography
Global
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Producer Manufacturing
Electronic Technology
Technology Services
Health Technology
Stock breakdown by region
54%15%0.1%29%
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
Displays a symbol's price movements over previous years to identify recurring trends.