Can you actually make a living day trading?

This is the one method with real data, and several independent studies agree. Here is what they found, why the number is so low, and what the people who do profit are actually doing.

One of the common ways of making money, looked at closely.

Of everything on that list, day trading is the only one where the question has been properly studied. Regulators require records, exchanges keep them, and academics have gone through them repeatedly.

So this post can do something the others cannot: give you numbers from people with no product to sell.

What the studies found

Brazil, 2013–2015. Chague, De-Losso and Giovannetti examined every individual who day-traded equity futures over the period. Of those who persisted for more than 300 days — people genuinely attempting it as an occupation — about 3% made money, and roughly 1% earned more than a bank teller. The best performer in the entire sample earned less than a mid-level manager.

Taiwan, over several years. Barber, Lee, Liu and Odean studied an entire national market. Under 1% of day traders were reliably profitable after costs. A very small group did show persistent skill — but it was small enough that finding it in advance is the problem.

United States, retail brokerage. Barber and Odean’s earlier work found households that traded most underperformed the market by the widest margin, and trading costs were the primary cause rather than bad selection.

Different countries. Different decades. Different instruments. Same finding.

That consistency matters more than any single figure. When independent studies of different markets converge, you are looking at something structural rather than a local condition.

Why the number is so low

Three mechanisms, and none is about intelligence or discipline.

It is close to zero-sum before costs, and negative after. Trading does not create anything. Your gain is another participant’s loss, minus what intermediaries take. Contrast that with owning a share of a business, where returns come from the business producing something. Both are called “the stock market” and they are different activities.

The spread is charged per transaction. As the market maker piece sets out, you buy at the ask and sell at the bid, so you start each trade slightly behind. Someone trading fifty times a year pays that fifty times. Someone buying and holding pays it twice a decade. The cost scales with activity, and day trading is maximum activity by definition.

The counterparty is a professional. When you buy because you expect a rise, someone sold to you. Increasingly that someone is a firm with faster execution, better data and lower costs. That does not make profit impossible — it means you need a reason you are right and they are wrong, and “I read the chart” is not one.

What the profitable ones are actually doing

Here is the part that reframes the question.

The firms that make money consistently in short-horizon trading are mostly not predicting prices. They are:

• Providing liquidity — quoting both sides and earning the spread, thousands of times a day, indifferent to direction
• Arbitraging structural gaps — the same asset priced differently in two places, captured in microseconds
• Exploiting speed — being first to react, which is an infrastructure problem

These are engineering businesses. They compete on colocation, network latency and execution quality, not on insight. A person at a laptop is not doing a smaller version of this; they are doing a different thing entirely.

And as the top few percent piece noted, the largest earners in the wider field often are not trading their own money at all. They manage other people’s capital and are paid a fee on the amount managed. That business is asset gathering, and it pays whether the year was good or not.

Why it feels more winnable than it is

Worth naming, because the psychology is doing real work here.

Early wins are common and uninformative. With enough participants, many will be up after a month by chance alone. That experience feels like evidence and is not.

The visible sample is entirely survivors. People who lost their money are not posting about it. What you see is the top of the distribution, presented as typical.

Much of the instruction is sold by people whose income is the instruction. If a method reliably produced returns, teaching it to competitors would reduce those returns. The economics of course-selling only work when the course is the product.

The platforms are designed to encourage activity, because activity is what generates order flow, and order flow is what pays. That is not sinister — it is disclosed — but the interface is not neutral about how often you should trade.

What the evidence does not say

Being fair to the honest version of this.

It does not say markets are rigged. Prices are as fair as any price gets, and the machinery is genuinely impressive.

It does not say nobody profits. Roughly 1–3% do, persistently enough to look like skill.

And it says nothing at all about owning equities. Buying broad ownership and holding it for decades is the opposite activity — low turnover, minimal spread cost, returns from businesses producing things rather than from other participants losing. That is the ownership channel, and it is what most of this site argues for.

The confusion between those two is the expensive mistake, and the shared vocabulary encourages it.

If you are going to do it anyway

Not encouragement; harm reduction.

Size it as tuition. Use money you can lose entirely without changing any plan, because the base rate says you probably will.

Track everything from day one, including costs and time. Most people who believe they are ahead have not counted the spread or the hours. At a realistic hourly rate, many “profitable” traders are earning below minimum wage.

Set a review date in advance, with a rule for what happens. The failure mode is not one bad trade; it is years of small losses justified as learning.

Do it after, not instead of. The certain-loss closing — high-rate debt, fees, employer match — returns more with certainty than any trading strategy returns on average.

Sources

• Chague, De-Losso and Giovannetti, Day trading for a living? (2020)
• Barber, Lee, Liu and Odean, Just how much do individual investors lose by trading?, Review of Financial Studies
• Barber and Odean, Trading is hazardous to your wealth, Journal of Finance (2000)

All three are findable and readable. Where this post disagrees with something you have been told, prefer the studies to either of us.