
The fund is an actively-managed ETF that seeks to achieve its investment objective by utilizing an investment strategy enhanced by the use of artificial intelligence. The fund invests at least 80% of its net assets, plus the amounts of any borrowings for investment purposes, in securities of U.S.-listed large capitalization companies. The Adviser consults a database generated by Qraft's AI Quantitative Investment System, which automatically evaluates and filters data according to parameters supporting a particular investment thesis. The fund is non-diversified.
Is AMOM's expense ratio expensive, average, or a steal for its category?
Pro reveals the verdict on a 5-tier spectrum calibrated against ICI 2025 industry averages, with strategy-aware bands so the comparison is meaningful.

Artificial intelligence has become one of the defining investment themes of this cycle. Yes, we may be hearing about the AI pullback as a valuation reset.

QRAFT AI-Enhanced U.S. Large Cap Momentum ETF (NYSEARCA:AMOM - Get Free Report) saw a significant growth in short interest in the month of December. As of December 31st, there was short interest totaling 9,362 shares, a growth of 23.9% from the December 15th total of 7,559 shares. Based on an average daily trading volume, of

Momentum investing is likely to be a winning strategy for those seeking higher returns in a short spell.

AMOM is an AI-powered ETF that holds a portfolio of 50 large-cap stocks selected for their momentum features. Its expense ratio is 0.75%, and AMOM has $23 million in assets. Since its launch six years ago, AMOM has yet to attract many investors, and the lack of interest could lead to liquidation sometime soon if results don't improve. Inconsistency is AMOM's main problem. The portfolio turns over about once every two months, and my factor-tracking over the last year suggests quality is not a focus for AI.

AIEQ: An Example Of AI Failure