(AMOM ETF)QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
AI-Powered Investing
U.S. Large Cap Momentum Investing Strategy
AMOM ETF is a momentum investing strategy ETF that invests in large-cap U.S. stocks and is powered by deep learning artificial intelligence.
QRAFT Technologies is a technology investment company based in Seoul, South Korea, that launched the world’s first ETF powered by deep learning artificial intelligence technology on the U.S. stock market.

AMOM ETF Info.
- Ticker: AMOM
- Inception Date: May-21, 2019
- Number of Holdings: 50
- Expense ratio: 0.75%
In 2023, AMOM distribution rate was around 0.45%.
AMOM Holdings; Feb-21, 2024(QRAFT AI ETFs)

U.S. stocks: large cap, tech, etc.
- (AVGO)Broadcom
- (MSFT)Microsoft
- (AAPL)Apple
- (META)Meta Platforms
- (NVDA)Nvidia
The momentum strategy adopted by AMOM ETF is the concept of investing in stocks that exhibit momentum effects.
Stocks that have performed well in the past are more likely to continue to perform well. This is known as momentum factor investing, and dual momentum investing strategies have been introduced and become popular in Korea.
Introducing the book “Dual Momentum Investing Strategy” by Gary Antonacci.
The AMOM ETF is expected to operate similarly to the investment strategy described in the book.
The difference is that it will be managed by an artificial intelligence, or AI, rather than a human fund manager.
AMOM ETF Performance; Jan-31, 2024

AMOM vs MTUM
- AMOM vs (MTUM)iShares MSCI USA Momentum Factor ETF
The AMOM ETF and the MTUM ETF are similar in that they invest in large-cap U.S. stocks and follow a momentum investment strategy. However, while the MTUM ETF is more of a passive strategy, the AMOM ETF is more of an active ETF that utilizes deep learning artificial intelligence to make selective investments.
AMOM ETF has been a top performing ETF in the U.S. stock market since May 21, 2019, with a total return of 2.7%.
(Feb 20, 2024)
amom etf: +100.11%
mtum etf : +65.01%.
As differences may occur due to the economic and financial environment, we believe it is most objective to compare the performance of the ETFs from their inception date to the present.

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