Do any binary options traders make money?

Some accounts end a period in profit, and with enough traders some will do so by luck alone. Regulator data from the EU and UK showed that most retail accounts lost money over the periods studied.

Can you make a living from binary options?

We do not know of evidence that this is realistic for retail traders. Even a small genuine edge produces modest average gains and large swings, and the payout cost works against you on every trade.

How much can you make with $100?

Nobody can give an honest figure in advance. What can be calculated is the cost: with no edge and an 85% payout, you lose on average 7.5% of every stake you place.

Can you make money with binary options? The maths, the data and who actually profits

Short answer, with the numbers

You can win individual trades, and some accounts finish a month or a year in profit. But binary options are built so that the average trader loses. Three facts explain why:

A win pays less than a loss costs. At an 85% payout, a $10 win earns $8.50 and a $10 loss costs $10.
So you must win more than half the time. At 85% you need to win 54.05% of trades just to break even.
Regulators who looked at real accounts found most of them lost money. The figures are below.

How the payout cost works

The gap between what a win pays and what a loss costs is the built-in cost of every trade. It does not show up as a fee, so it is easy to miss.

Expected result per $10 trade:

Your win rate	80% payout	85% payout
50% (no edge)	−$1.00	−$0.75
55%	−$0.10	+$0.18
60%	+$0.80	+$1.10

Expected result = win rate × payout × stake − loss rate × stake.

At a 50% win rate, which is what you get from guessing, you lose on average 7.5% to 10% of every stake. That money goes to whoever takes the other side of the trade. The more trades you place without an edge, the more you lose on average. Break-even rates for every common payout are in payouts and break-even.

What regulators found

When the European Securities and Markets Authority agreed in March 2018 to prohibit the sale of binary options to retail investors in the EU, it pointed to the product’s “structural expected negative return” and said national regulators had found “consistent losses on retail clients’ accounts” (ESMA press release, 27 March 2018).

The formal decision, ESMA Decision (EU) 2018/795, lists the data national regulators supplied (recital 36). Two examples:

Cyprus (CySEC): in a sample of 20 providers from January to August 2017, on average 87% of client accounts made a loss, with an average loss of about €480 per account.
United Kingdom (FCA): according to account data from firms, between 81% and 85% of client accounts lost money in 2016, with average losses of £400 to £1,200.

These figures come from licensed firms serving European clients in 2016 and 2017. They do not describe any particular broker today, or brokers serving clients in Asia, Africa or the Middle East, where similar public data is rarely available. They are the best published evidence we know of, and they point one way.

Variance: why luck hides the maths

Even when the average is clear, short-run results jump around a lot. Take a trader who genuinely wins 55% of trades at an 85% payout with a $10 stake:

Average result over 100 trades: about +$17.50.
Typical swing (one standard deviation) over 100 trades: about $92.
Chance of still being in loss after 100 trades: about 46%. After 1,000 trades: about 27%.

Now take someone with no edge at all, winning 50%:

Chance of being in profit after 100 trades: about 18%, close to one in five.
After 1,000 trades: about 0.5%.

All figures calculated from the binomial distribution.

This is why profit screenshots prove nothing. Among any large group of people trading with no edge, a share will be ahead after a few weeks, and those are the people who post results. The people who lost rarely do. Promises built on screenshots are a common opening for the schemes described in binary options scams.

What would need to be true for you to profit

For a person to make money over time, all of these would have to hold:

A real edge. Your true win rate must sit above the break-even rate for the payouts you actually get, not just on your best hours.
Proof of that edge. The closer you are to break-even, the more trades you need to tell skill from luck. To show with 95% confidence that a true 57% win rate beats the 54.05% break-even at an 85% payout, you need roughly 1,100 trades. At a true 60%, roughly 260.
Stable payouts. A few points of payout can turn a small edge into a loss: at a 55% win rate, an 85% payout is slightly positive and an 80% payout is slightly negative.
Discipline under losing streaks. At a 55% win rate, a run of at least 6 losses within 100 trades happens about 36% of the time. Your stake has to survive it without you chasing losses.
A broker that pays out. Profit on screen is not money until a withdrawal arrives.
Legal access. In many countries binary options are restricted or offered only by unlicensed firms. Check your country page.

If any of these is missing, the expected result is a loss.

How to test it for yourself

You do not have to take anyone’s word for it, including ours:

Pick one written strategy and one asset.
Trade it on a demo account and log every trade in a trading journal, including the payout.
After at least 100 trades, compare your win rate with your break-even rate, and remember how wide the range is at that sample size.
Keep going if the result is close. The closer you are to break-even, the more trades you need before drawing a conclusion.

If you still want to try with real money

Treat it as a cost, not an income:

Use money you can lose completely without it affecting rent, food or debts.
Use a fixed stake of 1–2% of a small balance and a daily loss stop, as explained in risk management.
Never increase the stake to win back a loss.
Stop if you find yourself depositing more to recover.

Read our risk warning before opening any real account.