Investors have taken note of the new exchange-traded fund, the Qraft AI-Pilot U.S. Large Cap Dynamic Beta and Income ETF (NYSEARCA: AIDB), as it has burst onto the trading scene. The fund, which has a wide range of U.S. large-cap equities that are rebalanced by an AI-powered risk model, captivated the attention of many. Considering the performance of AI-related ETFs this year had skyrocketed 17-26%, investors are keen to invest in this new ETF and analyze its potential performance.
The signature difference with this ETF is its reliance on an AI-powered model rather than traditional active management. Pulling data from more than 70 macro and market data sets, the AI adjusts exposure to various U.S. stocks based on risk signals present in the market. This could create a future investing environment powered by highly advanced AI platforms, culminating in a technological race for the highest performing algorithm.
This ETF, as well as other AI-related funds, will be observed and studied in terms of its performance. Therefore, investors should pay attention to its movements.
Qraft is the company behind the AI-Pilot ETF. Founded in 2016, Qraft is a venture-backed artificial intelligence investment platform that is focused on applying AI-based technology to the investment field. It offers three AI-based investment strategies that appeal to investors of all risk profiles thereby providing a tailored and automated approach to investing.
Ernie Cecilia is the Chief Investment Officer at Qraft Technologies. He is responsible for the oversight of the ETFs, including making sure the risk models are performing as expected, and deploying capital towards projects that best align with the firm’s long-term objectives. Ernie is a digital strategist and digital investment advisor with an impressive track-record in successfully driving digital initiatives aimed at optimizing the growth of the organization.
Ultimately, investors should stay vigilant and pay attention to AIDB and other AI-related ETFs, as their performance will surely determine the future of investing. While it is still early on in the ETF’s lifespan, investors should keep in the mind the possibility that computer models could outperform even the most seasoned professionals.
