KraneShares Artificial Intelligence & Technology ETFKraneShares Artificial Intelligence & Technology ETFKraneShares Artificial Intelligence & Technology ETF

KraneShares Artificial Intelligence & Technology ETF

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Key stats


Assets under management (AUM)
‪6.87 M‬USD
Fund flows (1Y)
‪6.23 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
1.04%

About KraneShares Artificial Intelligence & Technology ETF


Issuer
China International Capital Corp. Ltd.
Brand
KraneShares
Expense ratio
1.00%
Inception date
Jul 18, 2024
Index tracked
No Underlying Index
Management style
Active
AGIX provides exposure to global opportunities across the artificial intelligence value chain. The fund focuses on stocks involved in AI applications, hardware, or infrastructure. Individual stocks are selected based on a proprietary industry relevance score. The assessment of relevance is based on revenue, business descriptions, public filings, press releases, and financial disclosures directly tied to AI related business. In addition to industry relevance, stocks must have a minimum market-cap of $2 billion USD and meet minimum trading liquidity requirements to be considered for the index. The underlying index is reconstituted and rebalanced on a quarterly basis. Holdings will contain primarily listed stocks but can also be private companies, which are not securities included in the underlying index. The fund may also use derivatives such as swaps, forwards, futures and structured notes.

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
90%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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Summary
Neutral
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Moving Averages
Neutral
SellBuy
Strong sellStrong buy
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Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.