S&P 500 Momentum Index gains 32% in record two-month surge

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The S&P 500 Momentum Index, which tracks recent winners and bets they keep winning, has surged 31.7% over two months. That’s the largest gain in the index’s history, dating back to its inception in 1994.

The rally, ending in May 2026, was fueled almost entirely by AI and semiconductor stocks.

Tech is carrying everything

Technology stocks generated roughly 85% of S&P 500 gains in May 2026. Non-tech sectors? They managed about 3%.

The S&P 500 itself has notched multiple record closes during this stretch, including levels around 7,580. The Nasdaq posted its best two-month performance in decades during April and May 2026. April alone represented the S&P 500 Momentum Index’s largest single-month gain since the benchmark was created.

Momentum-focused investment vehicles like the Invesco S&P 500 Momentum ETF are heavily tilted toward tech, particularly semiconductors. When AI names rip higher, these funds don’t just participate. They amplify.

Hedge funds are all-in on momentum

Goldman Sachs reported that its own momentum factor jumped 25% over three months. Hedge fund exposure to momentum trades is nearing five-year highs, according to Goldman Sachs.

Historical analysis suggests that extreme momentum conditions near market peaks often serve as warning signals rather than green lights.

What this means for crypto investors

One of the more notable aspects of this equity surge is the lack of spillover into cryptocurrency markets. The rally is being driven by a very specific thesis: AI infrastructure and its associated hardware supply chain are generating real revenue growth, and investors want direct exposure to that story.

The concentration problem also matters from a systemic perspective. When 85% of an index’s gains come from a single sector, any disruption to that sector’s earnings outlook could trigger a broader market correction.

Goldman Sachs’ data on hedge fund positioning at five-year highs is one such signal. Another is the narrowing of market leadership to a handful of AI names.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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