Rex AI Equity Premium Income ETF (AIPI)
NASDAQ (NMS) NASDAQ (NMS) Primary Summary
AIPI Chart
AIPI Pays $13.50 Annually But Lags the AI Trade By 9 Percentage Points
The REX AI Equity Premium Income ETF (NASDAQ:AIPI) has become one of the more interesting income vehicles built on the AI trade, and its distribution schedule just changed in a way holders need to understand.
REX AI Equity Premium Income ETF (NASDAQ:AIPI) Short Interest Update
REX AI Equity Premium Income ETF (NASDAQ: AIPI - Get Free Report) was the target of a significant decrease in short interest during the month of February. As of February 27th, there was short interest totaling 38,724 shares, a decrease of 21.1% from the February 12th total of 49,092 shares. Based on an average trading volume
AIPI: If You Are Not AI Bear, Then This 38% Yielder Is For You
REX AI Equity Premium Income ETF delivers a striking ~38% TTM yield, outpacing FEPI's ~25%, with minimal NAV erosion. AIPI's concentrated, AI-focused portfolio and security-specific covered call strategy capture elevated option premiums from high-volatility names. The key risk for AIPI's income and NAV is an L-shaped sell-off in the AI space.
Rex AI Equity Premium Income ETF Investors
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| JD Jim Dushek HARBOUR INVESTMENTS Inc. | 100 | $3,364 | $3,559 | $195 | 5.8% |
 Christopher C. Powers Farther Finance Advisors, LLC | 35 | $1,365.27 | $1,233.75 | -$131.52 | -9.63% |
 Legacy Wealth Managment LLC/ID Legacy Wealth Managment LLC/ID | 43 | $1,447 | $1,515.75 | $68.75 | 4.75% |
| MHI Mountain Hill Investment Partners Corp Mountain Hill Investment Partners Corp | 50 | $1,882.28 | $1,763.5 | -$118.78 | -6.31% |
| OFO OneAscent Family Office LLC OneAscent Family Office LLC | 6,080 | $204,531.2 | $214,836.8 | $10,305.6 | 5.04% |
Rex AI Equity Premium Income ETF (AIPI) FAQ
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Rex AI Equity Premium Income ETF Profile
| NASDAQ (NMS) Exchange | US Country |
Overview
The fund is an investment vehicle that primarily focuses on leveraging the opportunities presented by AI leaders. By dedicating at least 80% of its net assets, along with any borrowings for investment purposes, towards securities included in the BITA AI Leaders Select Index, the fund aims to capitalize on the growth and innovation in the AI sector. It adheres to its investment strategy rigorously, irrespective of adverse market, economic, or other challenging conditions, and does not intend to take temporary defensive stances during such times. This approach signifies a commitment to long-term investment in AI technologies, despite potential short-term fluctuations. Furthermore, its status as a non-diversified fund allows for a more concentrated investment strategy, focusing significantly on securities that it believes have substantial growth potential in the AI field.
Products and Services
- Securities Investment
The fund primarily invests in securities that are part of the BITA AI Leaders Select Index. These securities represent companies at the forefront of AI technology and innovation. The investment strategy focuses on harnessing the growth potential of AI leaders, aiming to generate returns that align with the advancements and financial success of companies within the AI industry.
- Concentrated Investment Approach
As a non-diversified fund, it boasts a concentrated investment approach, focusing on a limited number of securities. This strategy allows the fund to make significant investments in its picks, potentially leading to higher returns. However, it also involves a higher level of risk compared to diversified funds, as the fund's performance is more closely tied to the selected securities' fortunes.
- Long-Term Investment in AI
By committing to its investment strategy under all market conditions and avoiding temporary defensive positions during downturns, the fund showcases a long-term investment horizon in the AI sector. This principle reflects an understanding that, while AI technologies and companies may experience short-term volatility, their long-term growth trajectory is expected to be positively significant.
