Media

We Asked ChatGPT For Stock Picks — Here's What It Said

Several ETFs already unabashedly use AI to pick the stocks they hold. And many of them are having a good year — handily beating the S&P 500. For DIP's performance, see our Fund Summary page.

Investor's Business Daily

Morning Exchange

As AI bots take on more tasks from writing headlines to profiles on dating sites, more funds look to leverage machine learning tools to get an edge over their competition.

ETF.com

Here Are The Winning Stocks AI Machines Are Buying

ETFs that use humans and market indexes such as the S&P 500 to pick stocks are having a rough year. Will machines do any better?

Investor's Business Daily

Benzinga Stock Market Movers

Watch our CEO, Ryan Pannell, and Benzinga's Money Mitch discuss DIP - our new AI-driven actively managed ETF that seeks to use big data and AI to eliminated the guesswork in finding dips.

Benzinga TV

Double Down on Dipping? This New AI-driven ETF Automates Buying The Dip

Life may get easier for traders seeking extra margins from a ‘buy the dip' strategy. A new AI-powered exchange-traded fund (ETF) leverages algorithms to identify and exploit price dip opportunities.

Wealth of Geeks

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Important disclosures

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 (800) 617-0004 or visit our website at dipetf.com. Read the prospectus or summary prospectus carefully before investing.

The Fund is distributed by Quasar Distributors, LLC. Exchange Traded Concepts, LLC (the “Adviser”) serves as the Fund’s investment adviser. Kaiju ETF Advisors, LLC (the “Sub-Adviser”) serves as the Fund’s investment sub-adviser.

Investing involves risk, including loss of principal. The Fund is subject to numerous risks including but not limited to: Equity Risk, Large Cap Risk, Management Risk, and Trading Risk. The Fund is actively managed and may not meet its investment objective based on the Sub-Adviser’s success or failure to implement investment strategies for the Fund. The Fund’s principal investment strategies are dependent on the Sub-Adviser’s understanding of artificial intelligence. The Fund relies heavily on a proprietary artificial intelligence selection model as well as data and information supplied by third parties that are utilized by such a model. Specifically, the Fund relies on the Kaiju Algorithm to implement its principal investment strategies. To the extent the model does not perform as designed or as intended, the Fund’s strategy may not be successfully implemented and the Fund may lose value. A “value” style of investing could produce poor performance results relative to other funds, even in a rising market, if the methodology used by the Fund to determine a company’s “value” or prospects for exceeding earnings expectations or market conditions is wrong. In addition, “value stocks” can continue to be undervalued by the market for long periods of time. The Fund is expected to actively and frequently trade securities or other instruments in its portfolio to carry out its investment strategies. A high portfolio turnover rate increases transaction costs, which may increase the Fund’s expenses. Frequent trading may also cause adverse tax consequences for investors in the Fund due to an increase in short-term capital gains. The fund is new, with a limited operating history.

©2023 Kaiju ETF Advisors