How Does Trading Work? From Order to Closed Trade

This page is about financial markets: Forex pairs, stocks, gold, crypto. Not item trading in games, which shares the same search phrase.

From the outside it looks like guessing. You buy, the price goes up, you were right. Look closer and the guess turns out to be the smallest part of it. A trade is an order that meets another order. The price it meets moves for reasons that are visible on the chart, and the loss you are willing to take is a number you set while you were still calm.

What happens the moment you place a trade?

Your order joins a queue of orders that are already there. It does not set the price. It either accepts a price someone else is offering, or it waits at the price you named until somebody accepts it. That queue of resting orders, on both sides, is the order book.

An order book has two sides. The bid is the highest price a buyer is currently willing to pay. The ask is the lowest price a seller will accept. The gap between them is the spread, and crossing that gap is the first cost of any trade, before commission enters the picture.

When your buy order matches a resting sell order, a trade prints. The price of that trade becomes the last traded price, which is the number quoted on the chart and in your platform. So a quote is not a valuation of the asset. It is the record of the most recent agreement between two participants.

So you are not negotiating with "the market" as a single entity. You are filling against orders that specific participants left behind, at prices they chose, for reasons you cannot see. What you can see is where those orders tend to pile up, which is what liquidity actually is on a chart.

How is the price of an asset actually set?

Price is whatever balances buying and selling interest at that moment. When more participants want to buy at the current ask than there are sellers willing to supply it, the buyers have to reach higher to get filled, and the quote rises. When selling pressure dominates, the same mechanic runs in reverse.

How far a single order pushes the quote depends on how much size is resting nearby. On a heavily traded instrument, a large order eats through many small resting orders and the price barely shifts. On a thin instrument, the same order clears the nearby offers and the quote jumps several levels to find the next one.

Other things feed into the balance: news, scheduled economic releases, corporate results, the technology and adoption behind a crypto asset, and the expectations participants already hold. Expectations are the underrated one. Markets frequently move on whether a number matched the forecast rather than on the number itself.

The practical consequence is that price is never a static value waiting for you. It is the running result of many independent decisions, and none of those participants is coordinating with you or against you.

One trade end to end: order, fill, exit

The same trade, laid out as the decisions you actually make, in the order you make them.

Put numbers on it. You buy at 100 and sell at 110. The gross result is +10 per unit. Now subtract: the spread you crossed on entry, the commission the venue charges on both sides, and, if you used leverage, the cost of financing the position while it was open. What is left is the net result, and it is always smaller than the number on the chart suggests.

That gap between gross and net is where a lot of beginner strategies quietly die. A method that wins by two points per trade stops working when the round-trip cost is two and a half.

Long or short: does direction decide the result?

A long position profits when price rises. You buy at 100, price reaches 120, and before costs you are up 20 per unit. It matches everyday intuition, which is why almost everyone starts here.

A short position profits when price falls, where the instrument and the venue permit short selling. Simplified, you borrow the asset, sell it at the current price, and buy it back later to return it. If it is cheaper when you buy it back, the difference is yours.

Shorting carries an extra edge of risk that is worth stating plainly. A long position has a floor: the asset can only fall to zero. A short position has no equivalent ceiling, because there is no upper limit on price. Add leverage and a losing short can grow faster than a losing long of the same size.

Both directions live on the same price history, and that is the part worth keeping. What decides the result is not which way the trade faces, but where the entry, the stop and the target sit. Move those three levels and the arithmetic changes. Flip the direction alone and only the sign does.

Where the result actually comes from

The price change between entry and exit is only the first line of the calculation. Four lines sit between it and what lands in the account.

The four costs: the spread you cross on entry, the commission the venue charges, slippage when the fill differs from the quote, and financing when the position is held with borrowed money. None is dramatic on its own. Together they set the minimum edge a method needs before it can produce anything.

Then there is the arithmetic that surprises people most. Take ten trades. Eight of them are winners at half your risk unit each, which is +4 units in total. The remaining two are losers at three risk units each, which is -6 units. Eighty percent of the trades were right, and the account is down two units.

Reverse it. Four winners at two risk units each is +8. Six losers at one unit each is -6. Less than half the trades worked and the account is up. The count of winning trades tells you nothing on its own; the size of each outcome tells you everything. This is why risk rules that keep an account alive sit closer to the centre of trading than any entry technique.

Why price is not random: liquidity and structure

"Nobody knows the future" is true and it is not the same as "price moves randomly". Those two statements get blurred together constantly, and the blur is what keeps beginners flipping between systems.

Price tends to travel toward places where orders are clustered, because that is where there is enough size waiting to fill a large position. Obvious levels hold those clusters: yesterday's high and low, the boundaries of a session, a price that was rejected twice at the same spot. Large participants cannot fill quietly in empty space, and this is the mechanism the order of events on a chart describes.

The two panels above show what to do with that idea in practice. A candle whose wick pierces a level and whose body closes back inside tells you the orders at that level were taken and the level held. A candle whose body closes beyond the level tells you the level broke. While the candle is still forming, both look the same, which is exactly why the close is the reference and not the extreme.

What is already settled sits to the left of price on your chart. Everything to the right is expectation. Reading what has happened is a matter of rules, and traders following the same rules arrive at the same reading. Predicting what happens next is a matter of probability, and no rule set removes that. Confusing the two is the mistake, in both directions: treating past structure as guesswork, or treating a forecast as a fact. If you want the rules for the first part, how market structure is read is the next page to open.

Exchange trading vs crypto: what changes?

The mechanics carry over. Orders, a book, a balance between supply and demand, a result net of costs. What changes is the environment those mechanics run in.

Two practical notes. Continuous trading means a position can move substantially while you sleep, and there is no closing bell to stop it. Thin liquidity in small tokens means slippage is a first-order problem there, not a rounding error.

Neither environment is the better one in the abstract. They differ in what can go wrong, and the choice belongs to whoever is accepting those risks.

What beginners get wrong first

Early losses usually come from a short list of repeatable errors rather than from bad analysis. None of them is a subtle mistake, which is what makes them fixable.

Size is the one to fix first, because it is the only item on that list that can end the account by itself. Risk a small fixed share of the account per trade and a run of losses is survivable, however often the method turns out to be right. Risk a large share and one ordinary adverse move does structural damage. If you have never put a number on this, work out position size before your next trade rather than after it.

The second habit worth building early is a record. Entry, exit, size, the reason you took it, the cost. Without that record, every review is a memory test, and memory reliably flatters the person doing the remembering.

Losses are not evidence that the method is broken. A method with a positive expectancy still produces losing runs, and the trader's job during those runs is to keep the size constant instead of reaching for a fix.

If this is where you are starting from, the next question is the order the rest is worth learning in. Smart money concepts for beginners lays out the five layers and why the entry model comes last.