HDIV QRAFT AI-Enhanced U.S. High Dividend ETF

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HDIV QRAFT AI-Enhanced U.S. High Dividend ETF

This is an actively managed fund that seeks long-term total returns through regular dividend income and capital appreciation. The fund will invest at least 80% of its net assets, plus the amounts of any borrowings for investment purposes, in dividend paying securities of U.S.-listed companies. In addition, the Fund will generally invest in U.S.-listed companies having a market capitalization in excess of $4 billion at the time of purchase (the “Universe”). In pursuing the Fund’s investment objective, the Adviser consults a database generated by Qraft’s AI Quantitative Investment System (“AQUA”). AQUA filters the securities in the Universe into an investment pool of 150 stocks using a proprietary dividend factor scoring formula based on dividend and quality factors including but not limited to dividend yield and dividend growth. AQUA then estimates each stock’s relative superiority of price appreciation (i.e., increase in stock price) over the rest of the pool for the next three month investment period using deep learning technologies (i.e., exposure to and processing of large amounts of data) and the distribution of each stock’s relative superiority of price appreciation for the same period using Bayesian neural networks that estimate the uncertainty of its forecast, and selects the top 100 stocks based on the average of the distribution of each stock’s relative superiority of price appreciation for inclusion in the database. The stocks included in the database are weighted based on their market capitalization.

$30.42  +0.30 (1.00%)
As of 08/12/2022 15:54:09 EST     IEX book   CBOE book


ETF Information
Sponsor:     QRAFT
Category1:  US Equity
Category2:  Broad market
Category3:  Large and mid cap
Morningstar category:  
Leverage factor:  1.00
Inception date:  02/27/2020
Current yield:  2.46%
Historical average yield:  2.04%
Market cap:  $5,289,620
Average volume:  622
Fees:     0.7500%
Investment style: Actively managed
Factors used to select securities:

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