Morning Reads

Why It Matters

The rally signals renewed investor confidence in AI‑driven growth and suggests that seasonal sell‑offs may be less relevant, influencing portfolio allocation decisions for the summer months.

Key Takeaways

• Nasdaq surged >15% in May, its strongest month since 2020
• AI hardware stocks like Intel and Nvidia drove the rally
• S&P 500 posted 10% gain, marking its best monthly performance in years
• Analysts argue “Sell in May” may be outdated amid robust earnings
• Cboe reported record Q1 revenue of $728.9 million, up 29%

Pulse Analysis

The May market surge underscores how artificial‑intelligence infrastructure has become a catalyst for equity performance. After a prolonged period of modest gains, AI‑centric firms such as Intel, AMD, Cisco and Nvidia posted double‑ and triple‑digit jumps, pulling the Nasdaq to a 15% monthly gain. This momentum reflects not only product demand but also investor expectations that AI will reshape revenue streams across sectors, prompting analysts to upgrade earnings forecasts and lift price targets.

Seasonal patterns like "Sell in May" have long guided traders to reduce exposure during the summer, citing historical underperformance. However, the current environment challenges that doctrine. The S&P 500’s 10% rise, coupled with a 19% monthly gain in technology, suggests earnings growth is outpacing typical volatility. With the U.S. economy expanding at a 2.0% annualized rate and jobless claims falling, macro fundamentals reinforce a case for staying fully invested rather than timing a seasonal dip.

Beyond equities, the broader market narrative includes strong corporate earnings, record Q1 revenue at Cboe, and resilient commodity prices. Oil steadied near $111 per barrel while wheat futures surged on supply constraints, illustrating how macro‑driven price movements can coexist with equity optimism. For investors, the takeaway is clear: a diversified, earnings‑focused portfolio that embraces AI exposure may deliver superior risk‑adjusted returns, even as traditional seasonal biases wane.