Fidelity Momentum Factor ETF (FDMO)

The Fidelity Momentum Factor ETF (FDMO) takes a data-driven approach: it holds U.S. stocks that have recently outperformed the market and systematically rotates away from those that are lagging, capturing a documented behavioral pattern in which past winners tend to keep winning for a period before reverting.

The momentum idea

Momentum is one of the most studied patterns in financial markets. The basic observation: stocks that have risen over the past three to twelve months tend to continue rising for a period, while those that have fallen tend to keep falling. This is not the same as value investing, which hunts for cheap stocks; momentum hunts for strong ones. The behavior can arise from behavioral biases (investors extrapolating recent trends, delayed information diffusion, or herding), from technical factors (forced buying by trend-following algorithms), or from real differences in fundamental strength that take time for the market to recognize fully.

FDMO builds its holdings by identifying U.S. stocks with the strongest recent momentum signals and weighting them based on how much they have moved. The underlying index filters on liquidity and market cap, but the core mechanism is simple: rank stocks by past price performance and own the winners.

Structure and rebalancing

The fund holds roughly 100 to 150 stocks at any given time, drawn from the broad U.S. equity market. Unlike a traditional buy-and-hold index fund, FDMO rebalances regularly — typically every quarter or more frequently — to refresh the list of momentum leaders. This means the portfolio turns over faster than a passive tracker like an S&P 500 fund; turnover drives costs through trading friction and taxable gains for holders in taxable accounts.

Fidelity manages FDMO as a semi-passive strategy. The fund does not attempt stock-picking or forecasting; it applies a mechanical rule and lets the rule work. That said, the rule requires judgment on how to measure momentum (price change, volume-adjusted returns, smoothed vs. raw signals), how frequently to rebalance, and what universe to draw from. These choices can meaningfully affect performance, and different momentum approaches can diverge sharply when the market regime shifts.

When momentum works and when it breaks

Momentum has been a rewarded factor historically — investors who tilted toward recent winners earned excess returns relative to a market-cap-weighted index in many periods, particularly in the years after the 2008 financial crisis and through the mid-2010s. However, momentum is not a one-way bet. In sharp reversals — sudden market rallies after a steep decline, or the sharp rotation from technology to value stocks in 2022 — momentum factors underperform because yesterday’s losers suddenly become tomorrow’s winners.

The decade ending in 2020 was unkind to traditional momentum strategies: growth and momentum worked, but the factors became too crowded as passive capital flowed into factor ETFs, and mean reversion set in. The sharp reversal in 2022, when inflation-sensitive value stocks soared and expensive growth retreated, devastated momentum portfolios positioned in high-flying tech names. Investors must hold momentum allocations with eyes open: this is not a defensive strategy or a stable multi-year bet, but a tactical lever that works in some conditions and fails in others.

Costs and turnover

FDMO’s expense ratio is competitive with other active and factor-based equity funds — typically in the 0.50–0.65% range. The more meaningful cost is turnover: because the fund refreshes its momentum rankings frequently, it trades more than a passive index fund, incurring bid-ask spreads, commissions, and market impact. In a taxable account, the higher turnover can also generate capital gains distributions. An investor considering FDMO should factor in not just the stated expense ratio but the hidden costs embedded in turnover.

Who owns FDMO and why

Momentum funds attract investors hunting for excess return through a rule-based, data-supported lens — not a black box of human judgment, but not a passive market-cap-weighted bet either. They suit:

• Investors comfortable with factor risk and the drawdowns that come when a favored factor falls out of favor.
• Those building a diversified factor sleeve, combining momentum with value, quality, or dividend tilts to balance risk.
• Traders and tactical allocators who view momentum as a cyclical exposure to rotate in and out of depending on [market regime.

Momentum](/market-regime-momentum/) does not suit risk-averse or near-retirees who cannot tolerate concentration risk or sudden drawdowns; it is highest-conviction in bullish, trending markets and worst-performing when you need it most.

Researching momentum and factor risk

Start by examining FDMO’s holdings and what has driven recent performance. When does momentum work best? Historical data suggests that momentum tends to outperform in trending markets with directional moves and underperform in choppy, mean-reverting ones. Review the fund’s turnover and tax efficiency — both matter for after-tax returns. Compare FDMO’s historical returns against a market-cap-weighted S&P 500 fund, the Russell 1000, and other momentum funds to understand how consistent the factor tilting is. Finally, understand the momentum factor’s academic basis and its historical drawdowns; this is not a passive strategy, and the fee does not guarantee outperformance — only a systematic mechanism for capturing a documented (though volatile) pattern in market returns.