Why Most Retail Traders Lose Money (and How Not to Be One)
Why most traders lose money: what regulators' data shows, the seven causes ranked, and what the minority who do not lose do differently.
Why do most traders lose money, when the market itself is not rigged against them? The regulators who can see every account have the numbers, and the causes behind them are surprisingly ordinary. Better still, almost every one of them is something you can control.
Quick answer: Most retail traders lose money because they size positions too large for their accounts, pay costs that outweigh any edge, trade without a tested method or written plan, and make emotional decisions after wins and losses. Regulators found 74–89% of retail CFD accounts lost money. The minority who do not lose control risk and costs first.
Why most traders lose money: what the data says
The most reliable evidence does not come from trading forums or screenshots. It comes from regulators, who can see the account records of every firm they licence.
In 2018 the European Securities and Markets Authority (ESMA) restricted how contracts for difference (CFDs), the product most retail forex is traded through, could be sold to the public. The evidence it cited, gathered by national regulators from the firms they supervise, showed that between 74% and 89% of retail accounts lost money. The rules that followed capped retail leverage at 1:30 on major pairs, added negative balance protection and a margin close-out rule, and made firms show a standard risk warning.
That warning is the percentage you see on every regulated UK and EU broker’s website: the share of that firm’s own retail accounts that lost money over the previous twelve months, refreshed every quarter. The UK’s Financial Conduct Authority made the same rules permanent in 2019. In the United States, the CFTC requires retail forex dealers to publish each quarter the share of their retail accounts that were profitable. Each regulator measures it differently, and each set of figures shows most retail accounts losing money.
Read the figure carefully, though. It counts accounts, not people, so accounts opened, emptied and abandoned within weeks count as much as ones traded carefully for years. And “did not lose” includes accounts that ended a year up by the price of a coffee. Losing is the default outcome, not a certainty. Somewhere between 11% and 26% of accounts did not lose, which tells you the result is not fixed by the market. It is shaped by how people trade.
If prices moved at random and trading cost nothing, you would expect roughly half of all accounts to be down at any time. The real figure is far worse than half. The staircase below shows, conceptually, what pushes it there.
None of the steps is a bad prediction, and none needs you to forecast the market better. Our companion piece, is forex trading profitable?, looks at what a genuine edge is worth in money. This article looks at the causes one by one, and at what the minority do instead.
The seven causes, ranked
There is no official league table of why traders lose, so the ranking below is editorial. It orders the causes by how directly and how quickly each one damages an account, based on the problems regulators targeted and the patterns that show up again and again in trading journals.
| Rank | Cause | What it does to an account | What the minority do instead |
|---|---|---|---|
| 1 | Too much leverage, oversized positions | Turns a normal losing run into a 30–60% drawdown | Risk about 1% per trade, sized from the stop |
| 2 | Trading costs | Raises the win rate needed just to break even | Count costs per trade; trade less often, with wider stops |
| 3 | No tested edge | Results drift down by the cost of trading | Measure expectancy before trading bigger |
| 4 | No written plan | Every trade uses a slightly different method | One page of rules, checked before each trade |
| 5 | Emotional decisions | Cuts winners, holds losers, adds revenge trades | Daily loss limits, preset exits, a journal |
| 6 | Too little capital for the goal | Income targets force huge risk | Treat a small account as tuition, not income |
| 7 | Chasing signals and tips | Hands decisions to someone you cannot check | Learn to judge a setup; verify any record |
In practice the causes rarely act alone. They feed one another. A small account with an income target leads to oversized trades; an ordinary losing streak then creates a deep drawdown; the drawdown triggers emotional trading; the account empties; and the trader redeposits or buys someone else’s signals, which starts the loop again.
You do not have to fix all seven causes at once. Break the chain at the first two links, by keeping position size small and expectations realistic, and most of the later steps never get the chance to happen.
1. Too much leverage: the fastest way to lose
Leverage lets you control a position far larger than your deposit, by putting up only a fraction of it as margin. It does not make any trade more likely to work. It only makes the result bigger, in both directions.
The useful number is not the leverage your broker offers but the leverage you use: the value of your open positions divided by your account. On a $5,000 account, a $50,000 position is 10:1 effective leverage, whatever the account’s maximum. EUR/USD often moves half a per cent or more in a day, and 1% moves over a few days are routine. Here is what one of those does at three levels of effective leverage.
This is the main reason the majority lose. Newcomers size trades for the profit they hope to make, rather than the loss they can afford. Ten losing trades in a row, which any method that wins around half the time will meet over a few hundred trades, cost about 10% of the account at 1% risk per trade but around 65% at 10%. From 65% down you need almost a 190% gain to get back.
Try it yourself. The slider below starts with a $5,000 account and a 1-lot EUR/USD position at the UK and EU limit of 1:30. Move the leverage and watch the margin change while the cost of a 50-pip move stays exactly the same.
Margin locked up Loss from a 50-pip move against you
A 50-pip move against one standard lot costs about $500, or 10% of the account, at any leverage. Leverage only decided whether you were allowed to open it.
Sizing first. They decide risk per trade first, usually around 1% of the account, read the stop distance from the chart, and let the position size fall out of the arithmetic. Done that way, effective leverage stays low on its own, and a losing streak is a dent rather than a disaster. Our guides to position sizing and the 1% rule show the calculation, and the Academy lesson on leverage and margin explains margin calls and stop-outs.
2. Trading costs: a headwind on every trade
Every trade pays the spread, the gap between the buying and selling price. Some accounts add a commission. Positions held overnight pay or earn swap, and orders filled in fast markets can suffer slippage. You pay all of these on winning and losing trades alike.
Short-term speculation is roughly zero-sum before costs: one trader’s gain from a price move is someone else’s loss. Costs turn it negative-sum. The practical effect is that they raise the win rate you need just to break even, and they raise it most for the shortest trades, because the same cost in pips is a bigger slice of a small stop.
The arithmetic is simple. On a 10-pip stop and 10-pip target, a win nets 8.5 pips after 1.5 pips of cost and a loss costs 11.5 pips. To break even you must win 11.5 out of every 20 pips at stake, which is 57.5% of the time. A beginner who scalps tiny moves on a lower timeframe has to clear that 57.5% hurdle just to stand still.
Costs also scale with how often you trade. The calculator below adds up spread, commission and swap for a single trade. Set your own numbers, then multiply the total by the number of trades you take in a month.
Spread = pips × $10 × lots. Commission and swap are quoted per lot. A trade must earn more than the total before it makes anything.
Costs counted. The traders who last know their real cost per trade and express it as a share of their stop, not as a few pips that “do not matter”. They trade the most liquid pairs during the busiest sessions, where spreads are tightest, avoid tiny stops unless their records prove the method survives costs, and compare account types on their own trading volume. Our guide to forex trading costs breaks down every charge, and the Academy lesson on trading costs shows how to measure them.
3 and 4. No tested edge and no written plan
An edge is a positive expectancy: the average amount each trade makes over many trades, after costs. In R, where 1R is the amount you risk per trade:
Expectancy = (win rate × average win) − (loss rate × average loss)
Most people who open an account have never calculated this number for their own trading. They have a feeling that a pattern or indicator works, often based on a handful of memorable trades. Without a measured edge, your results behave like a random walk with a slight downward slope, because costs are subtracted from every step.
The simulator below runs 100 trades at 2% risk with a 47% win rate and targets equal to the stop. That is roughly what a “no edge” method looks like once costs are paid. Run it several times.
Each run uses the same settings with different luck. Run it several times: the shape changes, the drawdowns don't go away.
Some runs end up, which is exactly the trap: a lucky first month feels like proof of skill. Run it enough times and the average drifts below the start, with long losing streaks along the way. Nothing in the method changed between runs; only the order of wins and losses did.
The fourth cause, no written trading plan, is what makes the third one impossible to fix. If your entry rules, stop placement and position size change from trade to trade, you are not testing one method; you are mixing several, and the results tell you nothing. A plan does not have to be long. One page that says what you trade, when, what a valid setup looks like, where the stop and target go, and how much you risk is enough.
Plan, then evidence. They write the plan before they trade it, then collect evidence. A practical sequence is to trade the plan on a demo account or at very small size, log every trade, and calculate expectancy after 50 to 100 trades before deciding whether to continue. The Academy lesson on building a trading plan includes a fillable template, and our guides to trading expectancy and how to write a trading plan take you through the steps.
5. Emotional decisions: when the plan meets a real loss
A plan that works on paper can still lose money in practice, because the person following it is human. The best-documented bias is loss aversion: losses feel roughly twice as painful as equal gains feel good. In trading it produces two habits that quietly reverse a good plan. Winners are closed early to lock in the good feeling, and losers are held, or their stops moved, in the hope they come back.
Add the emotions that follow a run of results and the damage grows. After a losing trade comes revenge trading: a bigger, faster trade to win the money back. After a winning streak comes overconfidence: rules feel like something for other people. Tap through the cycle below to see what each emotion tends to lead to.
What it feels like: "This is easy." You feel skilled, not lucky. Rules feel like something for other people.
What it leads to: The largest positions of the cycle, taken at the worst prices. Stops are skipped because "it always comes back".
The emotional cycle of a trade or a winning streak. The most expensive decisions, such as oversizing, skipping stops or adding to a loser, are made at the extremes, where the feeling is strongest.
Here is the moment where most of those decisions are made. What would you do?
What would you do?
Your $5,000 account has had three planned losses this morning, each 1%. You are down $150. A setup appears on GBP/USD near 1.2700 that is close to your rules but not quite there, and you feel sure it will work. Your plan has a daily limit of three losses.
Rules set in advance. They decide in calm moments what they will do in heated ones. That means a stop and target placed with every order, a daily loss limit that ends the session, a fixed position size that does not change after wins or losses, and a trading journal that records how they felt as well as what they did. Our guides to trading psychology and revenge trading cover the fixes in depth, and the Academy lesson on FOMO and revenge trading has practice scenarios.
6 and 7. Small accounts and borrowed signals
Too little capital for the goal
A small account is not a problem in itself. It is a sensible way to learn. The problem is a small account combined with an income goal. Suppose you want trading to pay you $1,000 a month. The return you need depends entirely on the size of the account.
Twenty per cent a month compounds to roughly 790% a year, far beyond what professional funds achieve. A trader who needs that return has only one lever available: size. So the income goal produces the oversized trades at the top of the losing loop.
Learning before earning. They separate learning from earning. A first account is treated as tuition: money you can afford to lose entirely, traded at small risk, with the goal of gathering evidence rather than paying bills. Capital is added from savings, not from hoped-for profits. Our guide to how much money you need to start covers sensible first deposits.
Chasing signals and tips
The seventh cause is handing your decisions to someone else: paid signal groups, copied trades, tips from social media. A good-looking record is easy to produce by chance, as the figure shows.
Following signals also means you cannot tell when a method has stopped working, you take on someone else’s risk settings, and you learn nothing you can use alone. Persistent promises of fixed monthly returns are a classic warning sign covered in our guide to forex broker scams and the Academy lesson on red flags.
Own judgement. They learn to judge a setup themselves, so other people’s ideas become input rather than instructions. If they do follow anyone, they ask for a long, independently verified record that includes the losing months, and they never hand over account passwords or access.
How not to be one of them: the same trades, two outcomes
Everything above comes down to a few habits you can start today. The example shows how much difference one of them, position size, makes on its own.
Neither trader did anything clever. Trader B made the losing run survivable, which is what gives a method time to show whether it has an edge. Tick off each habit below as you put it into practice. Your progress is saved in your browser.
How not to be in the majority
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The Academy hub for all of this is the lesson on risk per trade. It takes seven minutes and includes a quiz to make the calculation automatic.
Common mistakes when trying to beat the odds
Looking for a better entry instead of a better process
When results are poor, the instinct is to hunt for a new indicator or pattern. But entries are rarely the main reason the majority lose. Size, costs and behaviour do far more damage, and a new entry method does not fix any of them.
Raising risk to win it back
After a drawdown, doubling the size to recover faster feels logical. It turns a recoverable loss into a permanent one, because the larger size meets the next normal losing streak. Our guide to drawdown in trading explains why recovery maths punishes this.
Judging yourself on a week or a month
A few weeks of results are mostly luck, in both directions. A good month on a method with no edge is as common as a bad month on one that works. Judge the process by whether you followed the plan, and judge the method only after a meaningful number of trades.
Switching methods after every losing run
Changing strategy every few weeks means you never collect enough trades to know whether anything works. Every method has losing runs; the risk-reward ratio and your measured win rate tell you whether a run is normal.
Practising on a demo with unrealistic size
A demo traded with a $100,000 balance and enormous positions teaches the habits of the majority. Set the demo to the amount you would really deposit, and trade it at the size you would really use.
Frequently asked questions
What percentage of forex traders lose money?
When ESMA restricted retail CFD trading in 2018, it cited evidence that 74% to 89% of retail accounts lost money. Regulated UK and EU brokers must still publish their own figure, based on the last twelve months and updated quarterly. The exact number varies by firm and period, but it is consistently well over half.
Why do most forex traders fail?
Mostly for reasons that have little to do with predicting the market: positions too large for the account, costs that outweigh any edge, no tested method, no written plan and emotional decisions after wins and losses. Small accounts with income goals and unverified signals make each of those worse.
Can you be one of the traders who do not lose?
Some accounts do not lose, so the outcome is not fixed. Nothing makes it certain, but you improve your odds by risking about 1% per trade, counting costs, trading one written plan, measuring expectancy over many trades and stopping at a daily loss limit. Start with money you can afford to lose.
Do brokers make money when traders lose?
Brokers earn from spreads and commissions on every trade. Market makers can also take the other side of client trades, which creates a conflict of interest that regulators require them to manage. This is one reason to choose a firm licensed by a serious regulator and to understand its execution model.
How long does it take to stop losing money trading forex?
There is no fixed timetable. Learning the basics takes weeks, but finding out whether a method has an edge usually takes at least 100 trades, and often several hundred. Keeping risk small during that period matters more than how quickly you learn, because it keeps the cost of the lesson low.
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