AAA

REX AI Equity Premium Income ETF

No trades
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Key stats


Assets under management (AUM)
‪163.07 M‬USD
Fund flows (1Y)
‪159.29 M‬USD
Dividend yield (indicated)
34.24%
Discount/Premium to NAV
0.1%

About REX AI Equity Premium Income ETF


Issuer
REX Shares LLC
Brand
REX Shares
Expense ratio
0.65%
Home page
Inception date
Jun 4, 2024
Index tracked
No Underlying Index
Management style
Active
AIPI targets companies at the forefront of Artificial Intelligence (AI) technologies in sectors such as AI hardware, software, enabling infrastructure, and services. Companies are classified into Purity Leaders and Key Enablers in the AI space, with a 40% and 60% allocation respectively. The fund primarily invests in US-based AI technology companies, holding 25 stock positions for potential NAV growth while capping gains. It employs a covered call strategy, writing slightly out-of-the-money options on individual securities to boost income from higher premiums, partially offsetting price declines and limiting upside potential. Specifically, it sells standardized exchange-traded and FLEX call option contracts linked to underlying security returns. Managed actively, AIPI focuses on stock selection and option writing tailored to prevailing market conditions. The strategy aims to cushion against market declines and manage price volatility, blending capital appreciation and current income.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Robotics & AI
Strategy
Active
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Stock breakdown by region
100%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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Neutral
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Summary
Neutral
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Summary
Neutral
SellBuy
Strong sellStrong buy
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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.