Stocks and funds tied to market leadership have continued to draw investor attention as momentum strategies outperform broad benchmarks. The Vanguard U.S. Momentum Factor ETF, traded under the ticker VFMO, is designed to hold companies showing sustained price strength, with its process placing emphasis on trends over the past 12 months.
The fund’s approach is built around a simple premise long associated with top stock pickers: let winners run and trim positions that fall behind. Data cited by the article indicates that the momentum ETF has produced strong results since launch, while its sector mix highlights how quickly leadership can rotate across technology, industrials, healthcare, energy and consumer discretionary.
Key takeaways
- Momentum fund performance: The Vanguard U.S. Momentum Factor ETF has returned 24% in 2026 at recent prices.
- Catalyst: The fund’s rules-based selection system favors stocks with upward momentum, which has aligned with the market’s leadership trends.
- Concentration in high-upside areas: Technology, industrials and healthcare have been the largest weights, reflecting where price momentum has been strongest.
- High turnover built in: The ETF’s expected 99.9% turnover means holdings can change rapidly as trends evolve.
- Implication for investors: Momentum can outperform, but it can also reverse quickly—so investors should match the strategy to their time horizon and risk tolerance.
How the fund selects “winners”
VFMO is structured as a momentum factor ETF that invests in stocks based on price performance. According to the article, the selection process evaluates returns over the last 12 months and then checks the direction of the trend over the last six months to gauge more recent momentum.
A key point in the fund’s methodology is that it aims to identify strength attributable to the individual stock rather than general market tailwinds. The article also notes that the ETF has a very high turnover rate—expected at 99.9%—meaning the portfolio is expected to refresh almost entirely over the course of a year.
That turnover is central to how momentum funds work: leadership tends to persist when underlying demand stays firm, but the moment a trend breaks, the model can rotate out of the name. The article frames this as the main operational trade-off of momentum investing.
Where the ETF’s momentum has been concentrated
As of May 31, the ETF held 710 stocks across 11 sectors, according to the article. The five largest sector weights were:
- Technology: 22.1%
- Industrials: 20.3%
- Healthcare: 18.6%
- Energy: 14.4%
- Consumer discretionary: 7.9%
The article highlights several individual names to illustrate how the fund’s sector exposure can track major demand themes. In technology, it points to Micron Technology and Advanced Micro Devices, stating that each has surged over the prior 12 months on strong chip demand tied to the artificial intelligence industry.
In industrials, it cites Caterpillar and GE Vernova, attributing the strong run-up to increased spending associated with data center build-outs and related electricity infrastructure. The article’s framing links industrial momentum to the broader supply-chain and power requirements that follow AI-driven investment cycles.
Energy exposure, meanwhile, is discussed as reflecting commodity momentum. The article attributes energy strength this year to the geopolitical conflict between the U.S. and Iran, which it says sent oil prices higher. It also notes that oil prices have declined sharply from an April peak after the two countries signed a preliminary peace agreement and began negotiating a long-term deal—implying that momentum in some energy holdings could weaken as a result.
Why investors may keep watching momentum
According to the article, VFMO has delivered a compound annual return of 15.7% since its 2018 inception, outpacing the 12.7% average annual gain of the S&P 500 over the same period. The comparison is used to support the claim that the momentum strategy has worked over multiple market cycles.
The article also argues that the model is not dependent on one specific theme. While it notes that AI-linked stocks are leading the market at present, the ETF can shift exposure as momentum moves to other areas—such as robotics, autonomous driving, or quantum computing—once those segments produce the sustained price gains the rules require.
Investors should also factor in the fund’s costs. The article states VFMO’s expense ratio is 0.13%, which it characterizes as higher than some of Vanguard’s broad passive index funds. Even so, the author concludes that the fund’s historical returns have outweighed the additional fee so far.
The strategy’s high turnover further means that performance can be sensitive to regime changes—when leadership rotates away from previously strong sectors and into new ones. In other words, the fund’s own process may help it avoid prolonged laggards, but it can also lead to rapid repositioning if market trends shift.
What to watch next
Momentum investors will likely focus on whether current market leadership remains intact and whether trends in sectors such as technology and industrials continue to support the ETF’s selection criteria. With the fund designed to rotate holdings quickly, the next signals to monitor are broader price momentum durability and upcoming catalysts—particularly corporate earnings and major economic data that can influence interest-rate expectations and risk appetite.
