Accuracy Is
Overrated
The best stock traders, venture capitalists and macro investors lose money on most of their bets. Accuracy is not what makes them rich — and it is probably not what will make you rich either.
On the last trading day of 2021, Mark Minervini closed the books on a year in which he had lost money on more than half his trades. He had also compounded his capital at 334.8 percent, a world record in the U.S. Investing Championship, a real-money competition verified by brokerage statements.
He is not an outlier in this. Steve Cohen has said his best trader makes money only 63 percent of the time; Peter Brandt says he is wrong about 65 percent of the time; Bill Lipschutz, the legendary currency trader, has argued that anyone who needs to be right more than half the time simply cannot do this job.
The people who are best at this game are not especially right. They have arranged their lives so it doesn’t matter.
Consider two traders.
Trader A is right 70 percent of the time. When she’s right, she makes 10 percent. When she’s wrong, she loses 10 percent.
Trader B is right 40 percent of the time. When he’s right, he makes 15 percent. When he’s wrong, he loses 5 percent.
Which one do you want to be?
Most people pick A. A is the honor roll. A sounds like competence.
A and B earn almost the same amount of money. The arithmetic is unsentimental: how often, times how much, minus how often, times how little. Trader A is right nearly twice as often and produces near-identical returns.
But A and B are not the same trader, because one of them can survive a cold streak. When A loses five in a row, she is down 41 percent. When B loses five in a row, he is down 23 percent. And the way markets compound losses is the reason this matters more than it seems.
The hole gets exponentially harder to climb out of. Which is why the people who win at this game are obsessed with not being in one.
It’s better to lose correctly than to win incorrectly.— Mark Minervini, Think & Trade Like a Champion
Why is this so hard to do?
Because the human brain is not wired for it. What Daniel Kahneman and Amos Tversky identified in 1979 — work that eventually won Kahneman the Nobel in economics — was that the pain of losing a dollar is, in the human nervous system, about twice as intense as the pleasure of gaining one.
You already know this. A coin flip: heads, you win $15; tails, you lose $10. Your brain says no. Same flip, but tails loses $5. Your brain says yes. The expected value of the first bet was better. Your brain doesn’t care.
Now carry that instinct into a brokerage account. When a stock you own is up, every tick feels like a dollar you might be about to lose — so you sell, to lock in the pleasure before it can be taken from you. When a stock is down, every tick feels like the thing your nervous system most wants to avoid, which is converting a floating loss into a realized one — so you hold, and wait, and hope.
Both moves look like caution. Both moves are ruin.
This is the trap. Sell your winners early and ride your losers down, and you have built a machine that guarantees the one outcome the mathematics of compounding cannot survive. Minervini’s edge is not information. It is the discipline to do, on command, thousands of times, exactly what his nervous system is begging him not to do. The weekend workshops are not teaching a chart pattern. They are teaching a neurological override.
He did not arrive here alone.
The clue matters.
Because the reader of this piece is probably, right now, making decisions against it.
Consider the manager who hires. The manager who minimizes variance — who screens out every candidate with a visible flaw, who rewards the resume that looks like every other resume — ends up with a competent team. The manager who tolerates visible misses, who bets on the candidate no one else would take, occasionally finds the person who carries the whole team on her back for a decade.
The problem is that the corporate incentive structure punishes the second kind of manager, because the misses are visible and the hits are attributed to the team. So the organization optimizes, across thousands of hiring decisions, for accuracy — and spends the next twenty years wondering why it has produced nothing remarkable. Every Fortune 500 HR department in America is running the trade that ruins traders, and calling it professionalism.
The same logic governs the job you take, the deal you walk away from, and the bet you are not making on yourself. In every domain where the downside is bounded — because you cannot lose more than the job you already have, the deal you have not yet signed, the version of your life you are living now — and the upside is not, the instinct to optimize for being right is the instinct that will produce, reliably, for a lifetime, modest results.
None of this is a license. The thousand people who took Minervini’s approach without his discipline lost their savings. The argument here is not that asymmetric exposure guarantees wins. It is that accuracy-seeking, over a long enough horizon, guarantees something worse.
If your life feels like it is producing modest, predictable results, it may be because you have trained yourself — successfully — for the wrong game.
Minervini did not inherit this idea. He lost money for six years, teaching himself in public libraries, before he built it.
The right question in any domain where the downside is bounded and the upside is not is never how often you are right. It is how asymmetric your exposure is.
The rest of us get to learn it from him.
The 334.8% figure and U.S. Investing Championship verification procedure are documented in the championship’s 2021 filings. The Cohen, Brandt and Lipschutz quotations are from published interviews and Schwager’s Market Wizards series. The Kahneman-Tversky 2:1 loss aversion ratio is from the 1979 Econometrica paper. The Soros-Druckenmiller exchange is as Druckenmiller has recounted it publicly. The Y Combinator 2012 disclosure is from Paul Graham’s published correspondence of that period. The Buffett paraphrase on diversification is drawn from his 1993 shareholder letter. Every Minervini line in quotation marks appears in Trade Like a Stock Market Wizard or Think & Trade Like a Champion.
Harsh is the creator of Dalal Street Lens, where he writes about investing, market behaviour, and financial psychology in a clear and easy way. He shares insights based on personal experiences, observations, and years of learning how real investors think and make decisions.
Harsh focuses on simplifying complex financial ideas so readers can build better judgment without hype or predictions.
You can reach him at imharshbhojwani@gmail.com
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