Why Being Bearish on US Stocks Failed Me Last Year

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Aug 25, 2026

A year ago I turned bearish on US stocks for clear reasons. They rose 16 percent instead. The real mistake? Ignoring one simple market truth that changes everything...

Financial market analysis from 25/08/2026. Market conditions may have changed since publication.

A year ago I sat down and made a case for caution on US stocks. The signs looked familiar. Speculative energy was building. Valuations appeared stretched. I had seen something similar before and decided it was time to pull back a little. Twelve months later the market delivered a solid 16 percent total return and my cautious stance simply missed the mark.

Looking back now feels both humbling and useful. The prediction was not completely irrational at the time. Certain data points lined up in ways that felt meaningful. Yet the outcome forced me to examine where the reasoning went sideways. This post is less about defending the past call and more about extracting practical lessons that might help anyone thinking about market timing or valuation signals.

Where the Bearish Case Went Off Track

The core problem started with pattern recognition. I noticed several developments that reminded me strongly of the exuberant period around 2021. A high-profile investor was preparing another special purpose acquisition company. A major technology firm was spending hundreds of millions to secure top artificial intelligence talent. The price-to-sales ratio on the broad market sat near levels that had previously marked peaks.

Individually none of these items screamed danger. Taken together they created a narrative that felt persuasive. I wrote that the combination pointed toward mania. That conclusion turned out to be incomplete. Each element carried less weight than I assigned it at the time.

Individual Signals That Lost Their Meaning

Consider the special purpose acquisition company filing. In hindsight it was simply one investor pursuing an opportunity that fit personal incentives. People in that position will always look for vehicles that allow them to participate in the next wave, whether the theme is digital assets, artificial intelligence, or something else entirely. The filing itself told me almost nothing reliable about overall market health.

The large compensation packages for artificial intelligence researchers looked extreme on the surface. Yet history offers examples where similar moves later appeared visionary. Paying what seemed like an excessive sum for a social media platform years earlier had once drawn heavy criticism. Over time that decision looked exceptionally shrewd. The same pattern may apply here. Betting big on specialized talent is simply how certain leaders operate. We will only know the full results years from now.

Valuation data created the biggest surprise. The chart I relied on a year ago showed the price-to-sales ratio climbing toward levels last seen near the end of the 1990s. That visual felt decisive. Later revisions to the same data series changed the picture substantially. The earlier peak now appears far lower than the figure I used. Once the corrected numbers are examined, the current ratio no longer looks like a precise historical twin of past extremes.

This experience reinforced something I had already written about valuation metrics in general. Ratios that once carried clear meaning can lose some of their predictive power when the underlying composition of the market shifts. Higher average profit margins across large companies allow price-to-sales figures to rise without necessarily implying the same degree of overvaluation that existed in earlier eras. The metric still matters, but it does not speak with the same authority it once did.

The Danger of Forced Historical Parallels

It is remarkably easy to find similarities between any two market periods if you search hard enough. Opinion pieces, investor behavior, and certain charts will always offer surface-level matches. The real challenge is deciding which similarities actually matter for future returns.

In 2021 a large portion of the speculative activity centered on areas that ultimately disappointed. Digital collectibles and certain decentralized finance experiments faded. In the more recent period the speculative energy has concentrated heavily around artificial intelligence. That technology continues to demonstrate real progress in capability and adoption. The parallel in frothy behavior existed. The parallel in outcomes did not.

One private company illustrates the difference clearly. Its annualized revenue run rate sat near five billion dollars around the time I grew cautious. Roughly a year later that figure had multiplied many times over. Growth of that magnitude is rare and does not automatically justify every public market valuation. Still, it shows why treating the current environment as a simple repeat of the previous cycle was a mistake. Actual economic activity in the new theme has been far stronger than the earlier wave of speculation.

I have found that the mind loves clean narratives. Once a story forms about “this looks just like the last bubble,” contrary evidence tends to get discounted. The corrective is deliberate skepticism toward any neat historical comparison. Markets evolve. Technology changes the profit potential of leading companies. Those shifts matter more than surface similarities in investor psychology.


Remembering the Most Reliable Market Statistic

There is an older lesson that I temporarily set aside. Across long stretches of history, US stocks have delivered positive total returns in roughly seven out of every ten calendar years. The average annual gain has hovered near nine percent. That base rate holds through periods that looked expensive, periods that looked cheap, and everything in between.

Base rates do not guarantee any single year will be positive. They simply describe the most probable outcome when no other information is available. Adding more information can adjust the probabilities, but the adjustment should be modest unless the new data is unusually powerful. In my case the additional signals were not strong enough to override the long-term tendency of the market to rise.

Respecting the base rate does not mean ignoring valuation entirely. It does mean treating extreme caution as a higher bar to clear. Markets can remain expensive for longer than most people expect, especially when earnings growth accelerates. The past year provided another reminder of that reality.

The most consistent lesson from decades of market history is that stocks tend to rise more often than they fall. Forgetting that simple truth is one of the costliest errors an investor can make.

I still believe in thoughtful asset allocation. My own retirement account remains tilted toward a mix that includes a meaningful bond component rather than full equity exposure. The decision to maintain that mix cost a few percentage points of return over the past year. In the context of a growing family and a preference for smoother volatility, the allocation still feels appropriate for my personal situation. Being wrong on the market direction did not require abandoning a sensible long-term plan.

Practical Steps That Reduce the Odds of Repeating the Error

Several habits can help keep future decisions more grounded. First, treat any single valuation chart with caution until multiple independent sources confirm the numbers. Data revisions happen. Relying on one series alone introduces unnecessary risk.

Second, separate evidence of genuine technological progress from evidence of market-wide overvaluation. Rapid adoption of a new tool can coexist with elevated stock prices. The two are related but not identical. Strong fundamental growth can support higher multiples for longer than pure speculative episodes.

Third, keep the historical frequency of positive returns front of mind whenever the urge to make large tactical shifts appears. Small adjustments are sometimes warranted. Dramatic moves based on a handful of parallel signals usually are not.

  • Cross-check valuation data across several providers before drawing firm conclusions
  • Distinguish real economic progress in a new sector from pure investor enthusiasm
  • Weight the long-term base rate of positive equity returns heavily in any forecast
  • Design a portfolio that can tolerate both expensive and inexpensive markets
  • Accept that perfect timing is neither necessary nor realistic for most investors

These steps sound straightforward. In practice they require ongoing discipline. The pull of a compelling narrative is strong, especially when several surface indicators line up. Writing the original bearish piece felt logical at the time. The subsequent year showed the limits of that logic.

Why Portfolio Design Matters More Than Predictions

One of the clearer takeaways is that trying to time major market turns is less important than building a mix of assets that can survive a range of outcomes. If a portfolio only works when valuations look attractive, it is closer to a concentrated bet than a durable investment plan. Bets can produce exciting gains when they succeed. They can also create painful shortfalls when they do not.

A balanced approach does not eliminate the possibility of underperformance during strong equity years. It does reduce the chance of permanent damage during prolonged declines. For most people the second consideration carries more weight over a full investing lifetime. I have come to view my own moderate equity allocation through that lens. The past year of higher returns would have felt better with a larger stock position. The comfort of knowing the plan can absorb future setbacks feels more valuable over time.

Markets will always present new reasons for optimism and new reasons for caution. Artificial intelligence may continue to drive impressive growth for years. It may also face periods of disappointment. Interest rates, geopolitics, and corporate earnings will shift in ways no one can forecast precisely. The response that has served investors best across decades is consistent participation combined with thoughtful risk control rather than repeated attempts to step aside at the perfect moment.

Lessons That Extend Beyond Any Single Year

The experience of being wrong in a public way carries a certain clarity. It becomes harder to overstate the reliability of any particular signal after watching it fail. At the same time, the episode does not argue for abandoning analysis entirely. Careful study of valuations, sentiment, and fundamental trends still adds value. The key is holding those insights with appropriate humility.

I have noticed that the investors who navigate changing conditions most effectively tend to share a few traits. They update their views when new information arrives. They avoid becoming emotionally attached to any single forecast. They design portfolios that do not require perfect foresight to succeed. Those qualities matter more than the accuracy of any individual market call.

Perhaps the most useful shift in mindset is recognizing that being right about the market is not the ultimate goal. Surviving whatever the market delivers, and continuing to invest productively through different environments, produces better long-term results for most people. The past year reinforced that perspective for me in a concrete way.

Looking ahead, I expect to keep watching the same indicators that caught my attention before. The difference is a greater willingness to let the base rate of positive returns influence the final judgment. Speculative activity can exist alongside genuine progress. Elevated valuations can persist when earnings growth is strong. Neither observation automatically justifies a large reduction in equity exposure.

Building Resilience Into Everyday Decisions

Everyday investing choices benefit from the same principles. Regular contributions matter more than occasional brilliant timing. Rebalancing maintains intended risk levels without requiring precise forecasts. Diversification across asset classes reduces dependence on any single outcome. These practices are not glamorous. They are effective.

When new themes emerge and attract intense attention, it helps to ask a few grounded questions. Is the underlying technology or business model producing measurable results? Are valuations pricing in perfection or merely strong growth? Does the overall portfolio already contain enough exposure to benefit if the theme continues? Honest answers to those questions usually lead to more measured responses than pure pattern matching with prior cycles.

I still find valuation metrics useful as one input among several. They simply no longer carry the decisive weight I once assigned them. The corrected price-to-sales series is a reminder that even widely followed numbers can shift. Cross-checking remains essential. Context matters more than any isolated reading.


A Final Reflection on Uncertainty and Progress

Markets reward those who stay invested through uncertainty more often than those who wait for perfect clarity. The past year offered another illustration. Signs that once seemed decisive proved less informative than expected. Growth in a transformative technology exceeded what many, including myself, anticipated. The broad market advanced despite elevated starting valuations.

None of this guarantees the next twelve months will look the same. Future returns could easily be lower. Corrections remain inevitable at some point. The appropriate response is not to abandon analysis or to ignore risk. It is to place greater weight on durable principles that have held across many different environments.

Respect the historical tendency of US stocks to rise over time. Design a portfolio that can function whether valuations look attractive or stretched. Update beliefs when strong new evidence appears, but avoid letting a handful of surface parallels drive large tactical changes. These ideas are not complicated. Applying them consistently remains the harder part.

I am grateful for the reminder the past year provided. Being wrong in public is never comfortable. It is, however, an effective teacher. The lessons about overfitting, base rates, and the limits of historical analogy will stay with me longer than the original prediction itself. That trade feels worthwhile.

Investing will always involve imperfect information and uncertain outcomes. The goal is not to eliminate uncertainty. It is to build a process that can handle it. In my experience that process works best when it combines careful observation with genuine humility about what any of us can know in advance. The market has a way of teaching that lesson repeatedly. Some years the teaching feels gentler than others.

Whatever the next cycle brings, the focus remains the same. Stay invested. Manage risk thoughtfully. Keep learning from both successful and unsuccessful forecasts. Those habits have compounded more reliably than any single market call I have made along the way.

A bull market will bail you out of all your mistakes. Except one: being out of it.
— Spencer Jakab
Author

Steven Soarez passionately shares his financial expertise to help everyone better understand and master investing. Contact us for collaboration opportunities or sponsored article inquiries.

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