Reading your average buy price and P&L

Average price isn't a plain average

Let's clear up the most common misread first. Say you bought twice, once high and once low. A lot of people instinctively add the two prices, halve them, and call that their average. Unless you happened to buy the exact same quantity both times, that number is almost always wrong.

The real average is weighted by quantity: add up what you actually spent on every buy, then divide by the total quantity you received. Put another way, the bigger buy has more say over where the average lands.

Here's the shape of it without any numbers. Your first buy was small and at a higher price; your second was a big one you grabbed on a dip, at a lower price. Your average leans noticeably toward the low side, because most of your position was picked up cheap. Do a plain average instead and you'll overstate your cost and think you're miles from break-even. Get this step wrong and every P&L reading downstream inherits the error.

How the average shifts when you add in batches

Buying in batches is what most people do naturally, which turns the average into a number that moves. Each time you add, the system folds the fresh spend and the fresh quantity in and recalculates the weighted average.

A simple sense of direction helps: buy below your current average and it gets dragged down; buy above it and it gets pushed up. How far it moves depends on how big that buy is. A small add barely nudges the average; a large one shifts it clearly.

This is also why someone who "buys more as it drops" watches the average tick lower — the platform hasn't recovered anything for you; your average cost has simply been diluted by the new, cheaper buys. But one caution: a lower average doesn't mean lower risk. Your total money in has gone up, so if the price keeps falling, the on-paper loss in absolute terms is larger too. Crypto is volatile and can go to zero, and no amount of averaging changes that. This piece is only about reading the number, not about telling you whether to add.

Worth noting: when you sell part of a position, under most spot accounting the average price of what's left doesn't change — selling affects your realised P&L, not the cost of the coins still in hand. If your USDT or available balance looks off after a sell, that's a separate thing, and we unpick it in where funds go after you sell, and how to reconcile.

Which column shows unrealised P&L

Once the average makes sense, P&L follows easily. But first separate the two kinds of P&L — they sit in different places and mean different things.

Unrealised P&L: not sold yet, just on paper

Unrealised P&L (sometimes labelled "floating") is the on-paper figure while you still hold: your coins revalued at the current market price and compared against your cost. It usually shows on the matching row of the holdings or assets page. It ticks up and down with every move, and green or red, none of it is banked yet.

Realised P&L: it only counts once you sell

When you actually sell, that slice of unrealised P&L "settles" into realised P&L. This is the money that really moved into or out of your pocket. To know how much you're genuinely up or down, trust the realised figure rather than staring at the floating one and either scaring or soothing yourself with it.

How fees quietly raise your cost

This is the invisible reason your books don't line up. Every fill charges a fee — one on the way in when you buy, another on the way out when you sell. Maker and taker rates differ, and the number is also affected by BNB discounts and your VIP tier; check the Binance fee page for the specifics. Here we only care about how it bends your P&L.

Two consequences. First, your real cost is higher than the fill-price average, because the moment you bought you'd already paid a bit extra. Second, your real break-even is higher than you'd assume, because selling later charges another fee. So when the price merely climbs back to your average buy price, you haven't actually broken even — it has to nudge a touch higher to cover the fees on both sides before you're genuinely square.

On a single trade that gap looks trivial, but it explains something that trips a lot of people up: the price is back to where I bought, so why does it still show a small loss? The answer is usually those two fees. To pin down net P&L including both-sided fees and your true break-even, use the site's spot P&L / break-even calculator — put in your cost and quantity and it spreads the fees for you.

Why it doesn't match your mental maths

To wrap the above up: when the P&L on screen feels wrong, it's almost always one of the items below that got skipped. Check them one by one and you'll crack it.

• You used a plain average, not the weighted one.Buy in batches with different sizes and a plain average is bound to be off.
• You read one fill's price instead of the overall average.When a single order fills in several pieces, the number that matters is the weighted one.
• You forgot the fees.One on each side, buy and sell — they raise your cost, trim your return, and lift your break-even all at once.
• You treated unrealised P&L as realised.Anything unsold is an on-paper figure that moves with the market, not money in hand.
• You're reading a value converted to fiat.The same coins, shown in a different currency or at a different moment's exchange rate, will naturally read differently.

Run those five and almost every "the screen is wrong" doubt clears up. In the end, average price and P&L aren't mysterious — they're a handful of additions and multiplications, except Binance has folded fees, batches, and weighting in for you, and the version in your head usually leaves a couple of those out. Understand what each figure actually measures and you'll truly know the state of your own book — which is worth getting straight long before any "should I buy" call.