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NewsBlair Zhang2024-11-26T15:28:48-05:00
  • Hello World: The First AI-Powered Asset Manager

  • Deepwater Managing Partner and AI Investing Expert Launches First ETF that Seeks to Deliver Alpha-Generating AI-Powered Investments

Important Information

Investors should consider the investment objectives, risks, charges and expenses carefully before investing. For a Prospectus or Summary Prospectus with this and other information about the Fund, please call +1-215-469-1717 or visit our website at iaetfs.com. Read the prospectus or summary prospectus carefully before investing.

Investments involve risk. Principal loss is possible. Redemptions are limited and often commissions are charged on each trade. Unlike mutual funds, ETFs may trade at a premium or discount to their net asset value.

* Median 30 Day Spread is a calculation of Fund’s median bid-ask spread, expressed as a percentage rounded to the nearest hundredth, computed by: identifying the Fund’s national best bid and national best offer as of the end of each 10 second interval during each trading day of the last 30 calendar days; dividing the difference between each such bid and offer by the midpoint of the national best bid and national best offer; and identifying the median of those values.

High Portfolio Turnover Risk. The Fund’s investment strategy is expected to result in higher turnover rates. This may increase each Fund’s brokerage commission costs, which could negatively impact the performance of a Fund. Rapid portfolio turnover also exposes shareholders to a higher current realization of short-term capital gains, distributions of which would generally be taxed to you as ordinary income and thus cause you to pay higher taxes.
Leveraged, Inverse, and Inverse-Leveraged ETF Risk. Leveraged, inverse, and inverse-leveraged ETFs expose the Fund to all of the risks that traditional ETFs present (see “Underlying Fund Risks” above). Leveraged ETFs seek to provide investment results that match a multiple of the performance of an underlying index (e.g., three times the performance). Inverse ETFs seek to provide investment results that match a negative (i.e., the opposite) of the performance of an underlying index.
Foreign Investment Risk. Returns on investments in foreign securities could be more volatile than, or trail the returns on, investments in U.S. securities.
Small- and Mid-Capitalization Companies Risk. Investing in securities of small- and medium- capitalization companies involves greater risk than customarily is associated with investing in larger, more established companies. These companies’ securities may be more volatile and less liquid than those of more established companies.
Large-Capitalization Companies Risk. Large-capitalization companies may trail the returns of the overall stock market. Large-capitalization stocks tend to go through cycles of doing better – or worse – than the stock market in general. These periods have, in the past, lasted for as long as several years.
AI Model Risk. The Fund is actively managed using the AI Models, the output of which is heavily dependent on multiple inputs, including current and historical data (collectively, “Data”). To the extent the AI Models do not perform as designed or as intended, the Fund may not be able to achieve its investment objective and may lose value.
New Fund Risk. The Fund is a recently organized investment company with no operating history. As a result, prospective investors have no track record or history on which to base their investment decision. There can be no assurance that the Fund will grow to or maintain an economically viable size.
Investor Trend Risk. There is no guarantee that the strategies employed by high profile professional investors will result in successful security selection by the AI Models. The AI Models may identify trends that are no longer in favor, which can result in the Fund holding securities that perform in a manner that is inconsistent with any such trends and the Fund may lose value as a result.
Machine Learning Risk. The Fund relies on publicly available “machine learning” selection processes as well as data and information supplied by third parties that are utilized in those processes. To the extent the machine learning process does not perform as designed or as intended, the Fund’s strategy may not be successfully implemented, and the Fund may lose value.

The Securities and Exchange Commission (SEC) does not approve or disapprove of any investment. This material has been distributed for informational purposes only and should not be considered as investment advice or a recommendation of any particular security, strategy or investment product. Information contained herein has been obtained from sources believed to be reliable, but not guaranteed. No part of this material may be reproduced in any form, or referred to in any other publication, without express written permission. References to other funds should not be interpreted as an offer of these securities.

The Fund is distributed by Quasar Distributors, LLC. The Fund’s investment advisor is Empowered Funds, LLC which is doing business as ETF Architect.

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