Press release content from BusinessWire. The AP news staff was not involved in its creation.
PRESS RELEASE: Paid content from BusinessWire
Press release content from BusinessWire. The AP news staff was not involved in its creation.

Celebrating 1 Year of the AI Powered Equity ETF: AIEQ

October 18, 2018 GMT

SUMMIT, N.J.--(BUSINESS WIRE)--Oct 18, 2018--ETF Managers Group (ETFMG), along with our partners at EquBot, are happy to celebrate the 1-year anniversary of the AI Powered Equity ETF (NYSE Arca: AIEQ). AIEQ is the first and only actively managed ETF to fully utilize artificial intelligence as a method for stock selection.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20181018005280/en/

Since its inception on October 18, 2017, AIEQ is up 12.46% and has net assets worth $202 million.

“With AIEQ, we set out to do something brand new in bringing our AI-powered approach to the world of ETFs,” says CEO and co-founder of EquBot, Chida Khatua. “One year later, we couldn’t be happier with the market’s reception to our ideas and we’re excited to be at the forefront of the increasing use of AI in investment management.”

“As a leading thematic ETF Issuer, alongside our partners at EquBot, we are proud that in just one year this first to market AI driven product has attracted significant investor interest as one of the most popular actively managed ETFs of 2018,” said Sam Masucci, CEO, ETF Managers Group. “AIEQ continues to provide an opportunity to access the U.S. domestic market by leveraging the power of machine learning. To date, the model has done a great job of timing, allowing AIEQ to perform even during points of market volatility.”

“The AI technology behind AIEQ is still in its infancy,” says COO and co-founder of EquBot, Art Amador. “Our system has grown significantly within the past year in terms of the amount of data processed and the number of investment insights uncovered. In short, our investors are better positioned today than yesterday with the power of machine learning.”

The underlying fund investments in AIEQ are based on the results of proprietary quantitative models developed by EquBot with IBM Watson artificial intelligence.

For more information on AIEQ, please visit https://www.aieqetf.com.

Carefully consider the Fund’s investment objectives, risk factors, charges, and expenses before investing. This and additional information can be found in the Fund’s prospectus, which may be obtained by calling 1-844-ETF-MGRS (1-844-383-6477), or by visiting . Read the prospectus carefully before investing.

Past performance does not guarantee future results. For complete performance history, please visit .

Investing involves risk, including the possible loss of principal. Shares of any ETF are bought and sold at market price (not NAV), may trade at a discount or premium to NAV and are not individually redeemed from the Fund. Brokerage commissions will reduce returns. Narrowly focused investments typically exhibit higher volatility.

The Fund is actively-managed and may not meet its investment objective based on the success or failure of the Equbot Model to identify investment opportunities.

The portfolio managers may actively and frequently trade securities or other instruments in the Fund’s portfolio to carry out its investment strategies. A high portfolio turnover rate increases transaction costs, which may increase the Fund’s expenses.

Some of the models used by the Adviser for the Fund are predictive in nature. The use of predictive models has inherent risks. When Models and Data prove to be incorrect or incomplete, any decisions made in reliance thereon expose the Fund to potential risks.

The fund is distributed by ETFMG Financial LLC, which is not affiliated with Equbot. Sam Masucci is a registered representative of ETFMG Financial LLC.

View source version on businesswire.com:https://www.businesswire.com/news/home/20181018005280/en/

CONTACT: Deborah Kostroun

Zito Partners

(201) 403-8185




SOURCE: ETF Managers Group

Copyright Business Wire 2018.

PUB: 10/18/2018 08:00 AM/DISC: 10/18/2018 08:00 AM