The Numbers Nobody Posts
A study tracked 19,646 new day traders. Of those who persisted for 300 days, 97% lost money, and persistence made the outcomes worse. The statistics the trading industry never leads with: the academic record, who actually gets paid, how survivorship bias hides the bodies, and why a trading platform is telling you this.
Trading content is a highlight reel. Green screenshots, lifestyle shots, the one trade that paid, and an algorithm that feeds you more of whoever posts the most confidence. This blog made a different promise: the parts the industry does not lead with, said plainly. Today that means the numbers. Not opinions about whether trading is hard, but the published record of what actually happens to people who try, who really gets paid in this business, and why your feed will never show you any of it. We sell trading tools, and we are about to tell you that most traders lose. Sit with how rare that combination is, and then decide what it says about which side of the industry we want to be on.
The academic ledger
The most honest dataset in retail trading comes from Brazil, where researchers tracked 19,646 people who started day trading futures and followed them over time. Of those who quit after a single day, about 30% finished profitable, roughly a coin flip. Then the filter tightens: the longer people persisted, the worse the outcomes got, until among those who kept trading for more than 300 days, 97% lost money. Read that sequence again, because it inverts the industry's favorite sermon. Persistence, the virtue every motivational post sells, made the results worse, not better. And the 3% who did make money mostly did not make much: about 1.1% of the persistent group earned more than minimum wage, and roughly half a percent out-earned a bank teller's starting salary, while carrying risk no bank teller carries.
Taiwan ran the experiment at even larger scale: fifteen years of complete trading records for an entire national stock market, every account, every trade. The finding: fewer than 1% of day traders earned reliably positive returns after fees, and in any typical six-month window, more than eight in ten lost money. The same pattern repeats in every market researchers have examined, the US, India, the UK, across decades and products. That consistency is the point. When the failure rate survives every change of country, era, broker and instrument, the cause is not your indicator settings. It is the structure of the game, and the broker risk disclosures quoted in our post on trading for a living, the legally mandated 70-90% figures, are just this research wearing a compliance stamp.
Who actually gets paid
Follow the money through the building and the business model becomes visible. Exchanges collect fees on every trade, win or lose, the only guaranteed P&L in the industry; in derivatives, your losses are also, trade by trade, someone's gains before costs, which makes the fee the house edge and everything else redistribution. One floor up lives the content economy: courses, signal groups, "mentorships." The arithmetic there never changes: a seller with a genuine edge would compound it quietly, because real edges die from crowding; an edge that is for sale at $49 a month is priced at exactly what it is worth to the seller, which is the subscription revenue. The course pays better than the strategy it teaches. It always did.
The newest floor is the funded-account industry, and its numbers deserve daylight because they are the Brazil study repackaged as a product. Across the large prop firms, somewhere between 5% and 14% of challenge buyers ever pass the evaluation. Passing is not payment: of those who pass, barely 45% ever receive a single payout, which works out to roughly 7% of everyone who enters, and the average payout runs around 4% of the nominal account size, a few thousand dollars on the famous "$100K account." The product is not the funding. The product is the challenge fee, collected from the 90% who fail, refunded in attention to the handful who succeed loudly enough to market the next cohort. Selling hope scales better than trading ever did.
Survivorship bias, the machine that hides the bodies
If the numbers are this one-sided, why does your feed look like everyone is winning? Because the feed is a filter, not a sample. Losers leave quietly; there is no farewell post for a blown account, no influencer arc for "I went back to my job." Winners post, loudly, and are joined by a category the research cannot even count: the screenshot artists trading on paper, cropping timeframes, posting the one green account of the four they run. For every verified track record in your feed there are thousands of accounts that simply went dark. The result is an industry-scale version of the gambler's memory, which recalls wins in high definition and losses as a blur. Nobody designed it as a conspiracy. It is just what remains after the losses delete themselves, and it is worth assuming, as a default, that the distance between your feed and the Brazil study is the bias, not the edge.
The costs that never hit the P&L
The studies measure money, which is the smallest of the losses. The larger ones: years of screen hours that were not invested in a career or a skill with compounding returns, the opportunity cost nobody journals. Sleep, traded away to leverage held overnight. Relationships that absorb the tilt the market induced. And for a meaningful minority, something darker: a variable reward schedule is the same architecture a slot machine runs on, and some of what calls itself trading is gambling that found a more respectable interface. There is one honest diagnostic, and it fits in a sentence: do you trade more after losses? If the answer is yes, the market is not your workplace, it is your casino, and the daily fuse is not a productivity tip for you, it is harm reduction.
Why a trading platform is telling you this
The uncomfortable question writes itself: we build tools for traders, so why publish the case against trading? Three reasons, stated plainly. The minority is real: Taiwan's "less than 1%" is still thousands of people, and the research that found them also found what they do differently, which is not better predictions but tighter risk, brutal selectivity, and process, the exact spine of the risk playbook and the consistency post. Tools do not create an edge, they serve a process, and we would rather arm the process than sell the dream. And our incentives, honestly accounted, point the same direction as yours: a trader who survives three years is worth more to us than ten who blow up in a month. Survival is the business model, which is more than most of this industry can say.
So treat the numbers the way the 3% treat everything: as information, not as mood. They are the entrance fee sign on the door, not a verdict on you, and the difference between the 97% and the 3% was never access to information, since everyone stares at the same charts. It is that the minority runs a business with boring rules inside a game that punishes excitement. If these statistics make you close the tab, they did you a favor worth more than any indicator. If they make you want to be the exception with your eyes open, start with the playbook before the screener, size like the streak is coming, and keep the journal that tells you the truth your feed never will. The dark side is not a reason to leave. It is the map of where the bodies are buried, and the whole point of a map like that is to not become part of it.