Don't Miss This And Get Left Behind

The stock market has seen a significant recovery after a challenging start to the year, with the Nasdaq, S&P 500, and Dow Jones all showing strong gains. This rally is occurring despite ongoing global conflicts and geopolitical tensions, which investors seem to be largely disregarding. Tom Lee predicts that the market will continue to rise throughout the year, driven by individual investors chasing returns. The market's recent recovery, particularly the NASDAQ 100's 17% surge in three weeks and the S&P 500's 12% rise since March 30th, suggests that now is an opportune time to buy stocks. This sentiment is supported by a shift in public opinion, where extreme negativity often precedes a market turnaround. The CNN Fear and Greed Index recorded "extreme fear" around March 30th, which historically signals a buying opportunity. Several factors are contributing to this market recovery. The Wall Street Journal highlights the resilience of the US economy, which has a track record of recovering quickly from crises. Investors believe that Washington implements policies to support the economy during troubled times, as evidenced by the strategic use of oil reserves to manage gas prices. Additionally, the US economy is seen as more insulated from oil shocks compared to the past. The "buy the dip" mentality, which has proven successful during previous crises like the COVID-19 pandemic and tariff turmoil, is also a significant driver. Another contributing factor is the "taco trade" or anchoring negotiation strategy, often associated with Donald Trump. This involves setting an extreme initial position and then backing off, making any subsequent compromise seem reasonable. Investors are anticipating a similar de-escalation in current geopolitical situations, leading to market stability. Despite these bullish indicators, some skeptics argue that the market is becoming detached from reality, driven by "yolo" strategies, momentum chasing, and algorithms, making it oblivious to negative news. However, the speaker maintains a consistent strategy of buying high-quality companies, especially during market dips, a strategy that has proven successful in their portfolio. The speaker's portfolio reflects this strategy, with Google remaining the top position, showing a 105% gain. Mastercard, a 12% position, has seen underwhelming performance but is considered a strong buy. Meta is down slightly but is also considered a strong buy, with the speaker believing it's "just getting started." Amazon is up 62%, and ASML has gained 101%. Netflix, despite a recent 13% drop after earnings, is expected to fully recover. Microsoft is highlighted as a fantastic buy, expected to provide compounded returns above the market. Costco, a massive winner with a 133% gain, is considered too expensive to buy currently but is being held. Smaller positions like Moody's, Intuit, Texas Roadhouse, and Duolingo are all bullish, although Duolingo is currently down 55%. Tom Lee's analysis further supports the market's upward trajectory. He notes that individual investors initially shied away from buying the overall market during the dip, instead focusing on software companies that had sold off the most. This was a "wrong trade" as big tech, represented by the QQQ, has recovered significantly more than the S&P 500. Hedge funds, however, bought the dip later, and now retail investors are starting to chase returns, which Lee believes will further power the rally. He attributes this delayed reaction to "policy puzzlement" among investors, who were uncertain about the war's potential impact and feared a recession driven by spiking gasoline prices, influenced by economists warning of tail risks. The speaker, in contrast, viewed software companies and AI as the biggest risks, not the war or oil prices. Lee also argues that the rally is supported by strong fundamentals, with higher earnings estimates and a strengthened relative position for the US economy due to supply chain exposures during the war. He believes that global investors seeking growth will continue to invest in the US stock market, which is seen as a growth index with a handful of uniquely powerful companies like Amazon and Meta. Moody's recent earnings report exemplifies this positive outlook. The company emphasizes its "decision grade data," which is crucial for large institutions making significant financial decisions. Despite concerns about AI disruption, Moody's analytics business has seen no changes in expectations, suggesting that the impact of AI models on such companies may not be as severe as initially anticipated. In other news, Meta is reportedly tracking employee mouse movements, clicks, keystrokes, and even taking incremental screenshots to train its AI models. While employee monitoring isn't new, the depth of this tracking is unprecedented. Meta claims this data won't be used for performance reviews, but the speaker speculates it could be a way to encourage self-filtering and voluntary resignations, aiding Meta's ongoing layoff plans. This also provides Meta with a unique proprietary dataset for AI training, as employees interact with computers in ways not easily scraped from public sources. Google is also making strides in the AI chip market, unveiling new chips for AI training and inference. While the article frames this as a "shot at Nvidia," Google and Amazon are not directly competing with Nvidia in general-purpose GPUs. Instead, they are developing specialized, purpose-built chips for massive inference workloads, aiming to attack Nvidia's high margins in this specific area. These "good enough" chips could attract a significant portion of customers, allowing them to shift some demand away from Nvidia, which will likely remain the king of high-end GPUs. Finally, the "fail of the week" goes to Anthropic. After hyping their new AI model, Mythos, as capable of exploiting vulnerabilities in major operating systems and web browsers, and emphasizing stringent security measures for its limited release, the model was accidentally accessed by a few individuals on a private Discord channel. They gained access by simply guessing the model's online location based on Anthropic's naming conventions for other models. Fortunately, these users were only interested in playing with the model, not causing havoc, but this incident highlights significant security flaws at Anthropic.