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Meet the Magnificent Vanguard ETF Obliterating the S&P 500 in 2026 Because of Its Unique Momentum-Driven Strategy

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Meet the Magnificent Vanguard ETF Obliterating the S&P 500 in 2026 Because of Its Unique Momentum-Driven Strategy

Vanguard U.S. Momentum Factor ETF (VFMO) has delivered a 15.7% compound annual return since its 2018 launch, versus 12.7% annually for the S&P 500 over the same period, and is up 24% in 2026 at recent prices. The fund holds 710 stocks across 11 sectors with a 99.9% turnover rate, tilting toward names with sustained 12-month and 6-month momentum, including AI beneficiaries like Micron and AMD and energy names exposed to oil-price swings. The article is broadly positive on momentum investing and argues the ETF can continue outperforming, though the 0.13% expense ratio is higher than Vanguard's low-cost passive funds.

Analysis

Momentum here is less a valuation call than a liquidity-and-flows trade: when a rules-based vehicle is forced to chase relative strength, it mechanically extends winners and starves capital from crowded laggards. That creates a self-reinforcing feedback loop in large-cap semis, AI infrastructure, and industrial-electrification beneficiaries, where fundamentals and price action can remain aligned longer than skeptics expect. The second-order effect is that supplier ecosystems to the current winners can get repriced quickly, while adjacent cyclicals without clean relative strength get excluded even if their fundamentals are stable.

The real risk is not that momentum stops working, but that it snaps abruptly when leadership narrows or rates volatility rises. With turnover effectively near-total, this structure is exposed to regime shifts over weeks rather than years: a modest drawdown in top names can trigger forced rotation out of names that were only marginally in favor. Energy is the clearest vulnerability because its recent strength is more macro-driven than self-sustaining; if crude keeps easing, the fund will likely shed names before the market fully updates earnings estimates.

The contrarian read is that the trade is already partly crowded into the obvious AI winners, so forward returns may compress even if absolute prices continue higher. The better opportunity may be in second-order beneficiaries that are not yet fully reflected in momentum screens: power infrastructure, industrial automation, and select semiconductor equipment names that gain from capex rather than headline chip demand. In other words, the next leg is likely to come from the supply chain and energy-to-compute bottlenecks, not from the most visible megacaps.