The Fidelity Momentum Factor ETF, known by its ticker FDMO, posted a 39.13% trailing-year total return, making it a standout vehicle for investors riding the artificial-intelligence and mega-cap technology rally in 2026. By early May, the fund had climbed to about $93, near the top of its 52-week range of $55.41 to roughly $93.
That strong advance was challenged in early June, when chip stocks sold off sharply and investor attention rotated toward a high-profile SpaceX listing. The episode tested the durability of the momentum trade and underscored a central truth about FDMO: when market leadership is stable, the strategy can outperform, but abrupt reversals can be painful.
For investors considering FDMO now, the key question is whether AI-led momentum still has room to run or whether June’s volatility marked an early sign of broader leadership change across U.S. equities.
Key Facts
- FDMO delivered a 39.13% trailing-year total return and reached about $93 by early May 2026.
- The ETF holds roughly 130 stocks, with more than 41% of assets concentrated in its top 10 positions.
- Its five largest holdings are NVIDIA at 7.60%, Apple at 6.28%, Alphabet at 6.02%, Microsoft at 4.69%, and Amazon at 4.06%.
- The fund charges a 0.15% expense ratio and has grown to roughly $800 million to $885 million in assets.
- Net inflows totaled about $253.89 million over 12 months, including roughly $217.08 million in the latest six months.
FDMO Momentum ETF
FDMO is a rules-based ETF built to capture momentum among large- and mid-cap U.S. stocks. Rather than trying to forecast the next winners, the fund systematically owns companies already showing strong market leadership. Its index screens the 1,000 largest U.S. stocks using four signals: total return, volatility-adjusted return, positive earnings surprises, and low short interest.
That framework matters because it pushes the portfolio toward stocks with both strong price action and supportive fundamentals. In 2026, that has translated into heavy exposure to AI infrastructure, cloud software, and mega-cap technology. NVIDIA, Apple, Alphabet, Microsoft, and Amazon together account for nearly 29% of assets, making FDMO a direct expression of whether the market’s largest growth names can keep leading.
The fund’s design also explains why it has appealed to allocators. It offers low-cost access to a well-documented factor, with quarterly rebalancing and a sector-neutral construction intended to prevent the portfolio from becoming a single-theme product. Even so, momentum has been so concentrated in technology that the fund remains meaningfully tilted toward the AI trade despite that diversification guardrail.
FDMO has been one of the clearest ways to own the market’s winners, but the same concentration that powered a 39% year can magnify losses when leadership suddenly shifts.
How the strategy works in practice
FDMO’s quarterly rebalance is both a strength and a limitation. It refreshes the portfolio using updated momentum data, which helps the fund stay aligned with prevailing trends over time. But between rebalances, the ETF can remain exposed to stocks that were recent winners even as market sentiment starts to turn against them.
That dynamic was visible in early June. A sharp semiconductor selloff and rotation into other speculative themes created exactly the kind of sudden leadership break that momentum investors watch closely. Because FDMO’s top holdings are concentrated in names at the center of the AI buildout, those swings can have an outsized effect on short-term returns.
Implications for Investors
For portfolio construction, FDMO is best viewed as a tactical or factor tilt rather than a full core U.S. equity allocation. Its 130-stock portfolio provides breadth, but the top-heavy exposure means investor outcomes are still closely linked to a relatively small group of high-profile growth companies. A five-year beta of 1.16 suggests it should be expected to move more aggressively than the broader market.
The opportunity is straightforward. If the AI investment cycle remains the dominant driver of earnings revisions and price momentum, FDMO is positioned to benefit. Its low 0.15% fee, strong long-run annualized return of 15.04% since its 2016 launch, and meaningful inflows show that the strategy has been effective in both attracting capital and translating market leadership into performance.
The main risk is a momentum reversal. These strategies can lag sharply when investors rotate from expensive growth stocks into value, cyclicals, or newly listed speculative names. A higher-for-longer interest-rate backdrop would add pressure, since high-multiple technology companies are especially sensitive to discount-rate shifts. Investors should also watch whether flows remain positive, because momentum funds often see demand cool quickly when performance stumbles.
FDMO remains a closely watched gauge of AI-driven market leadership. If mega-cap technology resumes control, the fund could challenge its spring highs again; if June’s turbulence broadens into a deeper rotation, momentum investors may face a more difficult second half of 2026.
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