Market Commentary

  • Here Are Some Links For Your Weekly Reading – February 9th, 2025

    Coming together for Super Bowl Sunday: Political Cartoons – Daily Bulletin

    Here are some of the posts that caught my eye recently. Hope you find something interesting.

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  • Betting On The Super Bowl Champion …

    Are you trying to get rich quickly? Do you want to know if the markets will be bull or bear this year?

    Look no further than the “Super Bowl Indicator”. It has to be real; the winning percentage is high, and there’s even a Wikipedia page about it.

     

    image from us-east.storage.cloudconvert.comImage via NFL/Getty Images.

    The theory is that a Super Bowl win for a team from the AFC foretells a decline in the stock market, and a win for the NFC means the stock market will rise in the coming year. So, for those who care more about markets than football, you’d be rooting for the Philadelphia Eagles. 

    There is one big caveat (among lots of others) … it counts the Pittsburgh Steelers as NFC because that’s where they got their start. 

    If you accept that, the Super Bowl Indicator has about a 68% success rate. Sounds good, right?

    Come on … you know better.

    Here are some other “fun” stock market indicators:

     

    Back to Reality

    Rationally, we understand that football and the stock market have nothing in common. We also probably intuitively understand correlation ≠ causation. Yet, we crave order, and look for signs that make markets seem slightly more predictable.

    The problem with randomness is that it can appear meaningful. 

    Wall Street is, unfortunately, inundated with theories that attempt to predict the performance of the stock market and the economy. The only difference between this and other theories is that we openly recognize the ridiculousness of this indicator.

    More people than you would hope (or guess) attempt to forecast the market based on gut instinct, ancient wisdom, or prayers.

    While hope and prayer are good things … they aren’t good trading strategies.

    As goofy as it sounds, some of these “far-fetched” theories perform better than professional money managers with immense capital, research teams, and decades of experience.

    To get a better perspective, here is a thought experiment to try. 

    What percentage of active managers beat the S&P 500 in any given year?

    … Then, what percentage beat the S&P 500 over 15 years?

    The answer is that, on average, less than 33% of active managers beat the S&P in any given year. Last year, 43% beat the Index. Even more interesting is that over a 15-year period, the numbers drop much further. Depending on who is measured, only 12% of active managers and about 5% of U.S. Equity Funds beat the S&P over a 15-year period.

    Here are a couple of things to consider when you evaluate those statistics. First, market statistics represent predominantly bull market periods (and underperformance tends to spike during bear markets). Second, the statistics mentioned were for professional traders and funds (and most retail traders do considerably worse than that). Third, and perhaps most importantly, the implication is that professional traders’ “intelligent” choices often turn out worse than chance. That means something they’re doing is hurting performance (rather than helping it). 

    Screen Shot 2019-01-30 at 1.22.32 PM

    via Gaping Void

    There’s simply too much information out there for us to digest, process, rank, and use appropriately.

    There will never be less data or slower markets.

    The only thing you can predict confidently about the markets is that volatility and noise will increase.

    There are people beating the markets — not by using the Super Bowl Indicator … they’re doing it with more algorithms and better technology.

    Let me know if you want to learn more about that.

    Onwards.

  • My Thoughts on Deepseek as an AI Entrepreneur & Hedge Fund Manager

    Every now and then, a moment comes along that forces everyone to stop and rethink what they thought they knew. DeepSeek—a relatively unknown AI startup—just delivered one of those moments.

    DeepSeek (The Chinese Ai Company) Is Closing The Gap With OpenAi - 9meters

    Imagine this: last week, a company most people had never heard of claimed to have built a cutting-edge AI model for just $5.6 million – and they made it open source. Meanwhile, industry giants like Meta, Google, and OpenAI spend hundreds of millions—sometimes billions—on similar efforts. The implications are massive, and investors felt it immediately.

    Within hours, Nvidia’s stock price plunged 16.86%, wiping out over $600 billion in market value. Other AI-heavy stocks followed suit. The reaction? Panic, speculation, and a flood of questions:

    • Have we been overpaying for AI development?
    • Is brute-force scaling the wrong path?
    • What does this mean for the balance of power in the AI world?

    What’s happening here isn’t just a new startup making waves. It’s a fundamental shift in how AI is built—and it could change the competitive landscape for years to come.

    What makes DeepSeek different?

    To me, the main point is that, until recently, AI companies have been treating LLMs like an arms race—the more GPUs, the better. That’s part of why LLMs have become so expensive. Meanwhile, DeepSeek took an efficiency-first approach that reduced computational waste and more efficiently used GPU resources.

    This type of disruption will become increasingly frequent across all industries. Exponential technologies are accelerating innovation cycles and opening unexpected development paths. While these discontinuous innovations may seem like isolated surprises, they’re becoming a fundamental part of the competitive landscape. The key isn’t to react to each disruption individually – it’s to develop better strategies for operating in this rapidly evolving environment.

    In this case, Deepseek’s breakthrough wasn’t about doing more of what its competitors were good at. Instead, they thought of something else they could do to well to compete. Their breakthrough wasn’t about power … it was about perspective. It is a good reminder and blueprint to study.

    Some think the key message is that businesses no longer need to stock up on Nvidia’s best GPUs to have an advantage. Even if that is true, it begs the question: Will the demand for high-end GPUs decline if AI processing needs start shrinking? Asked another way, if other AI companies also use efficiency-first architecture, will Nvidia’s dominance weaken?

    From my perspective, the answer is that Nvidia will continue to grow. I’m excited about a world where the companies that can afford to spend the most money don’t necessarily win. Increased accessibility to high-performing AI models means more entrepreneurs can join the space and create new businesses with novel approaches. Ultimately, many more businesses will build AI into their infrastructure, and chip sales will continue to expand.

    AI isn’t just about computing power anymore – it’s about creativity and utility, too. Constraints have always bred innovation, and as companies begin to do more with less, I think you’ll see a shift in the balance of power.

    What about America and data privacy?

    Despite my excitement about the AI boom, there are valid privacy fears. When I discussed TikTok a few weeks ago, it was clear that the U.S. was taking a stronger stand on protecting its citizens from foreign interference. DeepSeek presents challenges.

    To start, it does censor content deemed sensitive by the Chinese government – that also means that particular historical and political topics are met with ambiguous or sanitized responses.

    It collects all of your user inputs, any personal information you share, and technical details like your keystroke patterns. They do explicitly tell you this in their Terms of Service. The data is stored in China, raising concerns about legal oversight and privacy laws.

    You likely have very little recourse if your data is accessed by or shared with external entities.

    My Thoughts

    First, DeepSeek is undoubtedly exciting. Even if they’ve embellished their story, the result is impressive. However, it’s also not the end of Nvidia or American-based AI companies. 

    Knowing when to sprint and when to jog is an important skill.

    AI is shaping our digital world, and DeepSeek is a massive force function in the industry. It is ultimately a good thing for AI (yes, even the Chinese competition).

    However, you should probably ask yourself if the benefits of using Deepseek outweigh the risks.

    When I coach people on using generative AI, I’ve always urged caution about sharing your sensitive IP with publicly hosted GPTs. Even with OpenAI or Meta, there are clear risks.

    It’s also clear that China isn’t the only entity trying to track you or better use your data. As a reminder, if you don’t know how someone is making money off a product … you’re the product. They’re commoditizing you and your data.

    That being said, It’s important to be proactive, and it seems to become even more important every week. The landscape is shifting so quickly.

    Even so, you have time.

    Being proactive also means being smart. As a user of the tools, you don’t need to switch to DeepSeek. Even as a non-tech entrepreneur, now is the time to explore the AI uses that excite you, not to force big leaps. 

    If you’re like me and are an entrepreneur in the space, you should certainly take the lessons from DeepSeek and think about how to apply these ideas in your ecosystem.

    But my #1 lesson for AI adoption is the same as my #1 lesson for building any habit: Start small – and start in a way that gives you energy.

    Humans are good at seeing big changes on the horizon but notoriously bad at predicting what those changes will be.

    The goal isn’t to be so fast that you beat everyone else … just to be fast enough not to be left behind.

    Onwards!

  • Carl Sagan’s Foresight from 1996

    Carl Sagan was an astronomer and planetary scientist whose most enduring legacy lies in his extraordinary ability to communicate complex ideas to the general public.

    Shortly before his death, he participated in an oddly prescient interview about short-form media and public attention. It is worth clicking to hear his clear thoughts about how governments will use ignorance of science and technology to control people.

     

    via YouTube

    He goes into more detail about this topic in his book, The Demon-Haunted World: Science as a Candle in the Dark."

    “I have a foreboding of an America in my children’s or grandchildren’s time—when the United States is a service and information economy; when nearly all the key manufacturing industries have slipped away to other countries; when awesome technological powers are in the hands of a very few, and no one representing the public interest can even grasp the issues; when the people have lost the ability to set their own agendas or knowledgeably question those in authority; when, clutching our crystals and nervously consulting our horoscopes, our critical faculties in decline, unable to distinguish between what feels good and what’s true, we slide, almost without noticing, back into superstition and darkness … the dumbing down of America is most evident in the slow decay of substantive content in the enormously influential media, the 30 second sound bites (now down to 10 seconds or less), lowest common denominator programming, credulous presentations on pseudoscience and superstition, but especially a kind of celebration of ignorance."  – Carl Sagan, The Demon-Haunted World

    With the national outcry at TikTok's ban being upheld in the Supreme Court, this feels even more relevant. 

    With TikTok, Instagram Reels, and YouTube Shorts, even 30 seconds of attention sounds generous. Smooth-sounding AI-generated slop only makes it worse.

    In many ways, we've even forgotten how to be appropriately skeptical. It's not enough to question authority and look for trusted evidence; you must also question their detractors and replacements. Laziness and ignorance rarely lead to good outcomes.

    There is room in life for faith, optimism, and belief. But when you question what's being pushed toward you, how influenced are you by your existing biases and beliefs? It's hard to reason someone out of a position that they did not reason themselves into. 

    Do you think America is becoming more or less ignorant? If more, what do you think it would take to reverse that trend?

  • Here Are Some Links For Your Weekly Reading – January 12th, 2024

    Here are some of the posts that caught my eye recently. Hope you find something interesting.

    Lighter Links:

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  • How’d Markets Do In 2024

    At the beginning of 2024, I asked the question – how did markets do in 2023?

    It makes sense to ask the same question as we start 2025. 

    Before I get started, it’s worth stating that the market is not the economy … but with Trump about to step into office, I know people are wondering. 

    I still think about the often-quoted quip “It's the economy, stupid” – coined by James Carville, a strategist in Bill Clinton’s successful 1992 U.S. presidential election against incumbent George H. W. Bush.

    2022 was the worst year for the U.S. stock market since the 2008 financial crisis.

    2023 was much better, but much of the gains came in concentrated sectors.  

    2024 saw nearly every sector posting gains – driven primarily by AI enthusiasm and a robust U.S. economy. 

    To help you get a sense of 2024 returns, VisualCapitalist put together a few helpful infographics.

     

    via visualcapitalist

    66% of companies on the S&P ended up in positive territory this year. The S&P also had its best two-year stretch since the late 90s. 

    Communication Services usurped IT’s #1 spot, driven primarily by Meta & Google. Strong consumer spending and digital ad revenue brought ad spending to almost $400 billion. 

    Materials was the only sector to see negative returns, hampered by China’s economic slowdown and increased interest rates. 

    Here is a more global look at return by asset class.

     

    Vertical graphic with icons showing asset class returns in 2024.

    via visualcapitalist

    Driven by that end-of-year run, Bitcoin surged to all-time highs, and gold also saw its best performance in 14 years. Meanwhile, bonds suffered heavily amid reflationary concerns and a potential widening deficit under the Trump administration.

    In 2024, I predicted a brief market correction, blamed on various geopolitical instabilities and partisan weaknesses, followed by a long and steady push higher as the November elections approached.

    How did that prediction hold up? I'd say pretty well. 

    On one level, I try not to think about or predict markets (because I know better). On another level, sometimes I can’t help myself …

    Part of me is so bullish about AI (and its impact on other things) that it’s hard to maintain objectivity. With that said, I think we’ll have another decent year. However, I expect increased volatility and noise.

    What do you expect for 2025?

    Do you think the continued investment into generative AI will impact these trends?

    Will cryptocurrency continue to explode? What scenarios do you think have the potential to be force multipliers?

  • The World Economy Going Into 2025 …

    Are you a glass half full or a glass half empty person? The recent economic news cycle has certainly been playing on people's fears.

    There is a lot of good news and reasons to be confident and excited about what's to come.

    Sure, you can focus on the $100 trillion global debt … but you could also focus on how U.S. states' GDPs compare to global GDPs.

    Today, let's look at the $115 trillion global economy. For what it's worth, America is still the dominant force.

     

    20241228 World Economy in 2025 Infographic

    via VisualCapitalist

    America has topped the list for over 100 years and will comfortably continue that reign in 2025. China comes in second, and together, they account for approximately two-fifths of global GDP. That said, China is comparatively a newcomer to their spot – with about 15 years here. 

    While we top the list, the fastest-growing economies would go to countries like India, Australia, and Brazil – which are all expected to rise the ranks in the coming years. 

    The trend to watch here is what will happen in the Middle East, with Syria overthrowing their government and the Israel-Palestine conflict continuing and impacting the supply chain of surrounding countries as well. 

    It will also be interesting to see how Trump's re-election and the continuing Russia-Ukraine conflict affect global trends.

    Looking beyond traditional economic metrics, I believe artificial intelligence will emerge as one of the most critical factors driving power, progress, and wealth creation in the coming years. It's likely to become both the most coveted resource and the capability we'll most actively seek to deny our adversaries.

    The real story of 2025's global economy isn't just told with GDP rankings. While America and China dominate those numbers, traditional economic metrics are becoming less relevant in a world where regional conflicts, supply chain dynamics, and technological innovation can reshape global power dynamics overnight. In the longer term, birth rates and the growth of middle-class infrastructure are strong predictors of what lies ahead. GDP alone doesn't measure what truly matters in the modern global economy.

    What indicators are you watching?

  • How AIs (Like ChatGPT) Learn

    I first wrote about this video a few years ago, when artificial intelligence first captured the media's attention. Back then, we were impressed that algorithms could help you pick out your Christmas gifts on Amazon, suggest new music for you on Spotify, and do their best to capture your attention on websites. 

    AI is seemingly everywhere now. And what is surprising to me isn't its prevalence or impact … it is the speed and breadth of its adoption. Last night, at an early holiday dinner, we talked extensively about how easy to adopt and how accessible tools like ChatGPT are (and almost none of us were Nerds). 

    With all that being said, I think it's wise to have a basic understanding of the things that most impact our lives. Even if you're not a big fan of AI, understanding its growing powers will benefit you. 

    The video below is a bit simple in its explanations, but it describes some fundamental concepts worth understanding.

     

    CGP Grey via Youtube

    The video is engaging and easy to understand. It focuses on genetic algorithms (which is one type of machine learning) and ignores some of the other more complicated techniques and approaches. For example

    In my experience, it is more useful for an executive to understand what tools like this can do rather than how they work. Likewise, it is better to understand when to use tools like this rather than knowing precisely how to use them. But, a cursory understanding like this video still adds value. 

    As machine learning gets more complicated and evolves, it gets harder for humans to assess their output or process accurately. Here is something to consider:

    How do you know that the answer it gives is the answer you seek?

    Just because an algorithm responds quickly and confidently doesn't mean it's right.

    While bots can deliver impressive results, their decision-making processes can be opaque. This presents both a risk and an opportunity. Artificial intelligence seems cool, but artificial stupidity is scary … and making mistakes at light speed rarely results in good outcomes.

    It's human nature to feel safer when we understand something. It's human nature to envision machines making human-like decisions, just faster. But we are quickly going beyond that … way beyond that!

    In the past, algorithms were static while data changed. But now we're in a different world – one where the algorithms themselves evolve and dramatically adapt to handle different types of data. While this might sound like a subtle distinction, it represents a fundamental shift in how AI systems learn and operate.

    One of the challenges of understanding exponential technologies is that their progress isn't linear. This makes it difficult for humans to accurately gauge how rapidly these tools will advance in capability. As algorithms grow more complex, they will increasingly operate in ways that may not be fully understood by their developers (and even less so by their users). As a result, we'll likely find ourselves using AI to solve problems and accomplish tasks that aren't even on our radar today. 

    It might sound strange, but it doesn't matter why a bot makes a decision or what inputs it uses to make the decision. What matters is whether it accomplishes its goal and how its performance and level of decision-making rank in relation to its prior performance and other options (and, perhaps, whether the bot is biased).

    Part of what makes artificial intelligence exciting is that it can do a lot of things well that humans are really bad at. And, even when you're using an AI in your domain expertise, it can be a great first step to save you time and effort. 

    It's a brave new world, and not only is Big Brother watching, but algorithms are, too.

    Live long and prosper!

  • Why Leave The House When You Can Shop Online …

    The holidays are almost here! Time's running out to get your gifts in time. 

    Luckily, it's never been easier to get stuff. On top of online shopping, Amazon has stewarded the switch to almost instantaneous shipping. 

    I remember when malls were filled to the brim, and Black Friday led to stampedes and people dying. Now, it's brick-and-mortar stores that are dying.

    Not only are the in-store deals not as good, but the best deals are online. Here's a chart showing the surge of online shopping.

     

    A dumbbell chart showing that online shopping as a percentage of total retail sales had climbed over time and spike in Q4 every year.

    via visualcapitalist

    Online shopping now accounts for about 15% of consumer spending, up from 4.1% in 2010. 

    In addition, Q4 always sees a massive spike, with online spending accounting for 17.1% of consumer spending in 2023. 

    This year, Cyber Monday attracted over 64 million U.S. shoppers, three times the number who shopped in stores. 

    You can find change everywhere, but one place to look hasn't changed. Amazon is all about infrastructure and disruption. 

    It's interesting to consider how drastically this changes supply chain management. People now expect free and fast shipping and the ability to return items if they don't work out (instead of trying them in-store). Meanwhile, brands have high fixed costs due to their existing retail locations, yet they need to keep most of their stock in warehouses instead of their box stores to deal with the surplus of online orders. 

    We're already seeing the failure of malls and the bust of commercial real estate. If this trend continues of work-from-home and online shopping, we could see a $250 billion decrease in commercial property value by 2026.  

    What do you think it would take to stop the bleeding and encourage both consumers and employees to leave their homes?

  • Ready Fire Aim!

    Michael Masterson wrote a book called Ready Fire Aim: Zero to $100 Million In No Time Flat. It is a practical guide for entrepreneurs and business leaders, focusing on the different stages of business growth and the key challenges and priorities at each stage.

    A core message of the book is to start taking action quickly (instead of getting bogged down in over-planning) and use rapid iteration and real-world feedback to refine strategies.

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    The concept is presented in the context of growing a business – yet the lessons apply broadly. 

    Swift action should be your focus … not over-planning or perfect timing.

    Too many companies get stuck in a cycle of brainstorming, getting internal feedback, making changes, and failing to release the product.

    Even for released products, too many fail because they took too long to launch or ignored market feedback. 

    Masterson stresses that the value of live performance is that it helps you course-correct. He also cautions that there is no such thing as perfect timing. The best timing is almost always ‘Now!’

    Now, let’s extrapolate. 

    Let’s say you’re pondering a tricky work problem. You know you need to figure it out before the end of the week … but your brain keeps going in circles. 

    You don’t believe you can take decisive action and course-correct because you feel you have to get it right. 

    So, what can you do? Write it out. Write out the potential paths, ramifications, and worst-case scenarios as holistically as possible. 

    You’ll find that simply by writing it out instead of just ‘thinking,’ you end up more creative with more insight. 

    Writing aids in organizing and clarifying your thoughts. 

    AI As Your ‘Action’ Partner 

    AI can make this process easier, faster, and more manageable. Tools like ChatGPT can help you explore complex topics, run scenarios for you, and provide external feedback. 

    It’s not the same as real-world feedback, but it can shorten the ‘Aim’ part of the process. 

    As you externalize your thoughts in writing them to whatever AI you choose, you also get the same benefit you did writing your thoughts out in our previous example. 

    The business environment is changing faster than ever. Technology is advancing faster, adoption is getting easier, and the average Joe is becoming bullish on AI. Because of that, Masterson’s book is even more relevant now than it was in 2007. Here are a few of the other key takeaways from Ready, Fire, Aim.

    • Adapt Your Role: As a company scales, leaders must shift from “doing” to guiding and from tactics to strategy.
    • Be Sales-Focused: Keep revenue generation as a core priority, especially in the early stages.
    • Build Scalable Systems: Invest in operations and leadership at the right time to support sustainable growth.
    • Innovate Continuously: Avoid complacency by fostering an organizational culture that balances efficiency with creativity.

    AI and exponential technologies are going to compress cycle types. What used to be long-term planning will just be planning. You have to act fast, not only to capitalize on these trends but also to avoid being wiped out by them. 

    Are you keeping up?