iShares Future AI & Tech ETFiShares Future AI & Tech ETFiShares Future AI & Tech ETF

iShares Future AI & Tech ETF

No trades
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Key stats


Assets under management (AUM)
‪606.74 M‬USD
Fund flows (1Y)
‪62.12 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
2.3%

About iShares Future AI & Tech ETF


Issuer
Blackrock Finance, Inc.
Brand
iShares
Expense ratio
0.47%
Home page
Inception date
Jun 26, 2018
Index tracked
Morningstar Global Artificial Intelligence Select Index - Benchmark TR Net
Management style
Passive
ARTY is a global fund following the top 50 companies from both developed and emerging markets that are involved artificial intelligence (AI). The funds underlying index scores companies based on level of exposure to four subthemes: generative AI, AI data and infrastructure, AI software, and AI services. The scoring process takes into consideration the companys role in the AI value chain, expected net profit increase from the exposure to at least one of the AI subthemes, and the portion of revenue expected to be derived from each AI subtheme over the next five years. The index provider ranks companies into three tiers, emphasizing those with the greatest tie to the AI subthemes and current market capitalization. Preference is given to smaller market capitalization over larger. The index is reconstituted annually and rebalanced quarterly. Prior to August 12, 2024, the fund ticker was IRBO and tracked the NYSE FactSet Global Robotics and Artificial Intelligence Index.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Vanilla
Weighting scheme
Tiered
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Stock breakdown by region
91%4%4%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Neutral
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Neutral
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Neutral
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Moving Averages
Neutral
SellBuy
Strong sellStrong buy
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Moving Averages
Neutral
SellBuy
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Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.