Insights

Oct 31, 2023 Machine Learning In AI Delivers Previously Unattainable Benefits, With Kaiju’s Nicholas Subryan

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Nicholas Subryan, Head of Artificial Intelligence at Kaiju, discusses the history of AI and machine learning. Nicholas examines the technological phases and applications of artificial intelligence over time. Explaining the power of modern machine learning today, he emphasizes the value of data crunching capability and pattern recognition, which are the basis for how Kaiju has built out its autonomous trading systems.

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Mar 27, 2023

VIDEO: BTD Capital Fund's DIP - A Breakthrough in AI-Driven Trading

In this short video, our CEO Ryan Pannell describes how DIP uses artificial intelligence in an effort to find and buy the dips in large-cap U.S. stocks.

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Dec 28, 2022

A Brief History of AI (with Apologies to Stephen Hawking)

First, you need a definition – what is AI? How do we know that something is “intelligent”?

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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.

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