iShares Trust iShares Blockchain and Tech ETFiShares Trust iShares Blockchain and Tech ETFiShares Trust iShares Blockchain and Tech ETF

iShares Trust iShares Blockchain and Tech ETF

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Key stats


Assets under management (AUM)
‪37.21 M‬USD
Fund flows (1Y)
‪12.28 M‬USD
Dividend yield (indicated)
1.45%
Discount/Premium to NAV
0.1%

About iShares Trust iShares Blockchain and Tech ETF


Issuer
Blackrock Finance, Inc.
Brand
iShares
Expense ratio
0.47%
Home page
Inception date
Apr 25, 2022
Index tracked
ICE FactSet Global Blockchain Technologies Index
Management style
Passive
IBLC tracks an index of global companies that are involved in the development, innovation, and utilization of blockchain and crypto technologies. The index aims to select Tier 1 companies, primarily those involved in cryptocurrency mining, cryptocurrency trading and exchanges, crypto-mining systems or blockchain technology. It also aims to select Tier 2 companies, which are those that design and manufacture graphics processing unit (GPU) chips necessary for mining. Eligible companies must have at least 50% of their revenue from the relevant theme. The index will have a minimum of 35 constituents, which will include all Tier 1 securities and a minimum of 10 Tier 2 securities, selected in descending order of float-adjusted market-cap. The component securities of the index are weighted by float-adjusted market-cap with Tier 1 securities allocated a minimum weight of 75% in aggregate. Individual Tier 1 securities are capped at 12%, and Tier 2 securities are capped at 4%.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Blockchain
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Finance
Electronic Technology
Stock breakdown by region
92%1%6%
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
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Moving Averages
Neutral
SellBuy
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Displays a symbol's price movements over previous years to identify recurring trends.