Summary
Highlights
Tom Lee discusses the surprising resilience of the US stock market, with the S&P 500 reaching all-time highs despite ongoing geopolitical conflicts and high oil prices. He notes sectors like AI and semiconductors are leading, indicating a strong US economy and low conviction among many investors. Lee also touches upon his previous S&P 7,300 prediction for the year, which has already been surpassed, and cautions about potential turbulence later in the year due to oil prices and a new Fed chair.
Lee identifies several key market drivers: US stocks, the White House, oil, inflation, private credit, the Fed, and earnings. He suggests that private credit, while facing potential losses, is not a systemic issue. He also highlights the undervaluation of software stocks, which are currently at 15-year lows on a relative price basis. Lee emphasizes the important role of credit as a leading indicator for equities, noting that high-yield bonds often signal market bottoms before equities do.
Lee observes that despite markets being at all-time highs, investor sentiment remains surprisingly negative, as reflected in surveys like the University of Michigan. He attributes this to easier 'push-button liquidity' allowing rapid market exit, and a significant political divide among investors. He points out that the University of Michigan survey itself may be skewed due to a disproportionate number of Democratic respondents, who tend to report higher inflation expectations and lower sentiment regardless of actual market performance.
Lee discusses 'American exceptionalism,' citing a survey that shows a high propensity for Americans to start businesses, in contrast to other countries like Japan. He believes AI will significantly boost American labor and productivity by enabling new business ventures and helping companies reinvent themselves. He then delves into the impact of large upcoming IPOs like SpaceX, OpenAI, and Anthropic. While acknowledging the potential market supply from these massive listings, he suggests that underallocated public stock positions by high-net-worth individuals and pensions will likely absorb this supply, leading to a reallocation back into public equities.
Lee introduces Fundstrat's Granny Shots ETF (GRNY), named after NBA Hall of Famer Rick Barry's 'underhanded' free-throw technique. The ETF, launched in November 2024, identifies key structural themes such as global labor shortage, AI, energy, cybersecurity, demographics (millennials), manufacturing cycles, and monetary policy. It invests in 35-40 stocks correlated with at least two themes, such as Nvidia, Chevron, Google, and Meta. The fund rebalances quarterly and has shown significant outperformance, indicating a focus on long-term, fundamental value based on durable themes.
Lee addresses the evolving crypto landscape, noting that while it has underperformed expectations, it's gaining importance through tokenization and its synergy with AI. He emphasizes that tokenization allows for instant settlement and the monetization of non-traditional assets, attracting major financial institutions. He foresees AI needing blockchain for identity verification and transactions, highlighting Elon Musk's view that the future of money is 'mass energy' or 'compute and power.' Lee predicts that within five to ten years, five of the ten largest global banks will be digitally native, showcasing crypto's disruptive potential despite its adoption by traditional 'boomers'.
Lee shares two memorable investment calls from his early career. The first was correctly upgrading Western Wireless in 2004 during a wireless bear market, just before it was acquired for significantly more than its trading price. This experience taught him the importance of monitoring bond market signals and the impact of stock price on employee morale. The second was issuing a rare 'sell' rating on Nextel while at J.P. Morgan, which, despite causing significant pressure, reinforced the power and challenges of contrarian investing.