Orders & execution · Beginner

Demo Accounts and Paper Trading

Demo accounts model the mechanics accurately and the consequences not at all. Knowing which half you are testing is the whole skill.

Last reviewed 15 September 2026 by the MarketPro research desk · Editorial policy

In short

A demo account lets you place simulated trades with virtual funds at real or near-real prices. It is reliable for learning a platform, practising order types and checking whether a method produces enough setups. It is unreliable as evidence of results, because fills, spreads and slippage are modelled rather than real, and because no simulator reproduces the behaviour of a person with their own money at stake.

What to remember

A headline demo return is mostly a sizing artefact. The same twenty trades return about 7.5% at 1% risk and about 80% at 10%.
Demo fills are calculations, not trades. Slippage, requotes and finite depth are usually absent, which flatters anything sensitive to execution.
Set the demo balance to your real intended capital, so the position sizes you practise are the ones you will actually place.
Four weeks with a fixed risk rule and a full log beats six months of unstructured clicking, then move to the smallest live size rather than extending.

Lesson 11 of 16 in Orders and execution

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Why an 80% demo month usually means 10% risk per trade

A demo account, also called paper trading, lets you place simulated trades with virtual funds against real or near-real market prices. Nothing is at stake, which is the source of both its usefulness and every one of its distortions.

Start with the distortion, because it is the one that sends people to a live account with the wrong expectations. Take a $10,000 demo, twenty trades over a month, eleven of them winners at 1.5 times the amount risked. That is 16.5 units of profit against 9 of loss, a net of 7.5 units. Size those units at 1% of the account and the month returns about 7.5%, which is a very good month. Size them at 10% and the same twenty trades, in the same order, return about 80% once the compounding is counted.

The trading was identical. The only thing that changed was the sizing, and the person posting the screenshot almost always believes the first number described their skill. Put the same sizing through a losing run and the asymmetry shows: six consecutive losses at 10% leaves $5,314, which now needs an 88% gain to get back to flat. At 1% the same six losses leave $9,415, needing 6.2%. The drawdown calculator makes that recovery maths uncomfortably clear.

Six in a row is not an unusual event either. At a 45% win rate the probability of losing six straight is 0.55 to the sixth power, about 2.8%, and across a hundred trades you get ninety-five overlapping chances at it. The risk of ruin calculator is the honest version of this conversation.

What a demo does reproduce faithfully

The mechanics, and they are worth a fortnight of your time. Specifically:

The platform. Where the order ticket lives, how to attach a stop and target to an entry, how to modify a position, what the margin readout means. Learning this with real money attached is an expensive way to discover that you clicked sell instead of buy.
Order types. The behavioural difference between a market order, a limit, a stop and a stop-limit is identical in a simulator. So is what happens when you set a pending order on the wrong side of price and the platform refuses it.
Your own rules. Whether a method produces enough setups to be worth trading, whether you can actually identify them in real time rather than on a finished chart, and how long you sit waiting. That last one surprises people.

Testing an idea across a few weeks of live conditions also catches the obvious structural problems: a strategy that only fires during hours you are asleep, or one that needs a stop so wide that the position size becomes negligible.

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The counterparty that does not exist

Now the execution gap. A demo fill is a calculation, not a trade. There is no one on the other side, so the simulator hands you the price you asked for far more often than the market would.

Slippage is usually absent or token. Live, a market order sent in the seconds after a data release can fill several pips away. A demo often fills it at the quote.
Spreads are frequently modelled, not live. A simulator quoting a fixed 1 pip on EUR/USD is hiding the 8 pips that appear at rollover and the wider quote at the Asian open.
Depth is infinite. Five standard lots fill exactly like 0.05, which is not how a real order book behaves.
Requotes and rejections do not happen. Live, they happen precisely when you most want the fill.

The result is that a method built around fast entries or tight stops tends to test far better on demo than it performs live, and the gap is widest exactly where the method is most sensitive to execution. A swing method with a 90-pip stop barely notices. A five-pip scalp can go from profitable to negative on the difference alone.

The variable you cannot simulate is ownership

Everything above is a modelling problem, fixable in principle. This part is not. When the money is virtual you will hold a losing trade calmly, add to it without a pulse rate, cut a winner late rather than early, and take a setup you would have passed on. When it is your rent, the same screen produces a different person.

The common failure is not that demo traders are too reckless, though plenty are. It is that they are reckless in a direction that flatters the results, and then behave cautiously live, which produces a different strategy with the same name. A method that is only profitable when executed without hesitation is not a method you have tested, because you have never executed it under hesitation.

This is why demo results are evidence about mechanics and weak evidence about outcomes. Treat a good demo month as proof that the platform works and the rules are followable, not as a forecast.

A four-week demo brief worth running

Vague practice produces vague conclusions. Give the account a job.

Set the balance to your real starting capital. Not $100,000. If you are going to fund $2,000, run $2,000, so the position sizes you practise are the ones you will actually place. The position size calculator should be open beside it.
Fix one risk figure and never vary it. Half of what a demo teaches is whether you can hold a rule for four weeks when nothing punishes you for breaking it.
Log every trade as if it were real, including intended entry against filled price. That column is what lets you estimate the execution gap when you go live.
Write the exit before the entry, so you are practising the decision sequence rather than the click.
Stop at four weeks and go small. Extending demo indefinitely is avoidance. The realistic next step is the smallest live size your broker allows, where the fills are real and the sums are survivable.

Most people lose money while they learn, and a demo does not remove that, it postpones it. What it genuinely buys you is that the first live mistakes are about judgement rather than about which button closes a position.

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Written and reviewed by the MarketPro research desk

MarketPro is a trading-signal and trading-education app operated by Harajuku Holdings LTD (Cyprus). Our signal desk publishes and tracks every trade idea in-app, and every page here is checked against the app's live behaviour before publishing. Last reviewed 15 September 2026. How we produce signals and content · About MarketPro

FAQ

Demo Accounts and Paper Trading: questions

How long should you paper trade before going live?

Long enough to work the platform without thinking and to see your method through a few dozen setups, which for most people is about four to eight weeks. Extending much beyond that has diminishing returns, because the remaining lessons are about handling real consequences and a simulator cannot supply those. The usual next step is the smallest live position your broker permits rather than a jump to full size.

Why do demo results differ so much from live results?

Two reasons. Execution is modelled rather than real, so demo fills rarely include slippage, requotes or the spread widening that happens around news and at rollover. And behaviour changes when money is at stake, so the same rules get applied differently. The gap is largest for methods with tight stops or fast entries, and smallest for slower swing methods.

Is demo trading a waste of time?

No, provided you are clear about what it tests. It reliably teaches order entry, stop and target placement, platform mechanics and whether a strategy generates enough opportunities to bother with. It does not tell you how a strategy will perform once real fills and real emotions are involved, so treating a good demo month as a forecast is the mistake, not using a demo at all.

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Not investment advice. Past performance is not indicative of future results.