
Issue 1.3
The Goldfish Analyst
Posted on 24th November, 2025
Published by Lucian Tong

“The point is not that markets are efficient. They’re not. It’s just a model.” – Eugene Fama, Father of EMH, Nobel Laureate
For decades, the Efficient Market Hypothesis (EMH) has offered a grand narrative for financial economics. In its simplest form, EMH claims that all available information is instantly reflected in asset prices. Yet the real world is messy, and any undergraduate who has taken an investments class will point to anomalies, the January effect, the size effect, and persistent momentum that regularly violate this neat picture. Detractors and day traders exploit what seem like windows of opportunity, deploying candlestick pattern analysis or mean-reversion signals in the hopes of beating the market. Meanwhile, elite quant firms race to capture fleeting mispricing, executing trades within milliseconds, all in pursuit of arbitrage opportunities that, if EMH held perfectly, should not exist. The result is a confusing environment where the “best” strategy seems just out of reach, and where, paradoxically, the average S&P 500 outperforms most actively managed mutual funds over time.
Beneath this technical arms race lurks a behavioral phenomenon well-documented in psychology: the Dunning–Kruger effect. Markets give a powerful illusion of skill. Many retail traders, swept up in stories on social media and echo chambers like WallStreetBets, become convinced that they have a special edge. They believe, often without much evidence, that their technical analysis or contrarian instincts will let them spot trends before the crowd and cash in. Yet, as the data stubbornly reveal, genuine and persistent outperformance is rare. Most traders, professional or not, lag behind low-cost index strategies, and in the long sweep of finance, luck far outweighs true “alpha.”​​​​​​
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Of course, it would not be a proper test without a competitor attuned to the world’s loudest and pettiest traders. Reeves decided to contrast Frederick’s approach with the collective wisdom of WallStreetBets (WSB), the Reddit forum famous for turbo-charged risk appetite and a meme-driven appetite for “YOLO” trades. WSB participants have no patience for holding blue-chips or following traditional investment wisdom. Instead, they focus attention on stocks capable of explosive price action—regardless of any connection to fundamentals.
To translate WSB into a proper portfolio, Michael built a sentiment analysis algorithm fed by popular threads. Stocks with the most bullish buzz landed in the WSB basket. This approach produced an utterly different slate of holdings: meme legends like GameStop, AMC Entertainment, Lucid Group, and BlackBerry. These stocks weren’t chosen for their earnings, dividend yield, or balance sheet strength, but for their meme potential and capacity to spark short squeezes or viral rallies. It was the market as a popularity contest, not a rational calculator of value.
The Gamestop Frenzy
Timing is everything, and this experiment unraveled against the backdrop of one of the wildest stock market stories in history. The GameStop saga exploded in 2021, powered by Roaring Kitty, known in real life as Keith Gill. Keith, a retail investor, ex-financial analyst, posted his deeply researched, high-conviction bull thesis on GameStop. Unlike the average meme trader, Keith made his case transparent and analytical, but it soon snowballed beyond historic precedent.
Millions of retail investors are rallied by social media posts and a growing sense of community rebellion against Wall Street. From the start, it was never about money. At the heart of this hysteria was the phenomenon of the short squeeze. Having 25% of the stock being short positions from Wall street hedge funds, a price spike forces them to buy back shares at any price to avoid catastrophic losses, driving prices higher still. GameStop shares skyrocketed from the eleven and teens to $500, and in the chaos of Robinhood, the platform many used to buy shares, suspended new purchases, sparking cries of unfairness and market manipulation, bringing lawsuits even to the SEC.
WSB vs. Frederick?
With the stage set, Reeves pitted the two against each other. On one hand, Frederick’s “highly calculated” picks populated his account with steady, well-known consumer names and diversified holdings some of them in the consumer cyclical. On the other, the WSB strategy ramped up the risk, building an undiversified, momentum-fueled portfolio, heavily weighted to meme stocks with little fundamental balance.
Results
After three months, the data spoke. Frederick’s account posted a positive return of about 13 percent, outperforming not only the Nasdaq composite but also most professional fund managers. The WSB meme basket, swept along by sentiment swings and crowd euphoria, lost nearly $6,000 which delivered a clear, if ironic, demonstration that random, rules-based stock-picking could outperform even the most passionate “alpha chasers.”
So, what does this tell us about EMH, market behavior, and what drives investment success? First, the experiment asks us to treat EMH not as gospel, but as a model useful for building understanding. If EMH were the law, neither the goldfish nor the meme stocks would have generated such divergent returns after adjusting for risk. Market frictions, and liquidity constraints, the power of crowd sentiment, and random shocks all play a huge role in shaping outcomes.
Second, the results underscore the limits of human psychology. WSB traders, are buoyed by the stories of instant riches, fell victim to herding, FOMO, and gambler’s fallacy. Their portfolios were undiversified, leveraged, and dependent on bandwagons. When sentiments shifted, they were punished for their irrationality. In contrast, Frederick’s random selections were at least spread across sectors, with built-in protection against correlation risk and no emotional trading.
Third, this isn’t a story about goldfish genius. It’s a lesson in the value of process, discipline, and humility. In practice, consistent risk management, low-cost indexing, and emotional neutrality will outperform self-proclaimed “wizards” of the market. Much as the S&P 500 routinely bests active managers, so too did Frederick’s emotion-free ruleset outperform the high-flying hopes of WSB. In the real world, randomness, process, and humility beat hype, and every once in a while, even a fish can swim laps around the crowd hype.
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Works Cited
Michael Reeves. “I Gave My Goldfish $50,000 to Trade Stocks.” YouTube, 31 Mar. 2022, www.youtube.com/watch?v=USKD3vPD6ZA.

From YouTube to the Fish Tank
This brings us to Michael Reeves, who, instead of running a standard experiment, decided to put market theory and meme culture under the microscope using his own brand of YouTube absurdity. He believed that if a goldfish could outperform the average investor, it would lay bare the real forces at work in finance—randomness, discipline, and a total lack of ego. Enter Frederick, the star of the experiment, a goldfish whose daily choices—whether to swim left or right in his tank—would be converted into stock picks. The technology behind this was as clever as it was simple: Michael set up a computer vision algorithm to track the fish’s movements, assigning each side of the tank an ever-changing, randomized stock ticker. Frederick’s investment process was
fully insulated from emotion. He did not chase news headlines, ride the wave of social media hype, or suffer loss aversion. His only concern was whether to go left or right, guided by variables like oxygen, food placement, or random environmental noise. Over time, Frederick’s portfolio took shape, populated with high quality names like Nike and Costco. The irony was obvious: while the rest of the world tried to “outsmart” the market, Frederick succeeded by doing precisely nothing intentional at all.