Average win and average loss calculator

Enter your winners, losers and totals and get the numbers that decide whether your win rate is enough. No sign-up.

Type in how many trades won, how much they made in total, how many lost and how much they lost in total. The calculator gives you the average win, the average loss, the payoff ratio, the win rate, the breakeven win rate for that payoff, the expectancy per trade and the profit factor. Use money or R multiples, as long as winners and losers use the same unit. Losses go in as a positive number.

What average win and average loss mean

The average win is the total profit of your winning trades divided by the number of winning trades. The average loss is the total loss of your losing trades divided by the number of losing trades. Trades that closed at exactly zero belong in neither group; leave them out, or count them as a separate bucket if you want to see how often you break even. These two numbers describe the size of a typical outcome, while the win rate only describes how often you win. You need both to say anything useful about a strategy.

The formulas the calculator uses

The expectancy calculator starts from percentages and averages; this page starts from the raw totals, which are what you actually have after exporting a trade list. Both give the same expectancy when the inputs agree.

A worked example (hypothetical)

Take 20 closed trades. Eight win for a total of 480 and twelve lose for a total of 420. The numbers are invented to show the arithmetic.

The actual win rate of 40.0% is 3.2 points above the breakeven line of 36.8%, and the expectancy is a small positive number. On twenty trades that margin is thin. A normal run of losses can erase it, so the sensible reading is “promising, keep logging” and not “proven”. The breakeven win rate calculator shows what happens to that line when you add spread and commission.

Why two traders with the same win rate can get opposite results

A win rate says nothing about size. Here are two hypothetical traders measured over the same number of trades.

Trader A wins most trades and still loses money, because the average loss is twice the average win. Trader B loses most trades and makes money, because the winners are three times the losers. This is the reason a high win rate is a poor target on its own. It is also why exits matter so much: moving a stop or closing a winner early changes the two averages without changing the entry at all. The cutting winners early page shows how that looks in a real trade history.

Where to get the four inputs from MT5

In MetaTrader 5, open the Toolbox (View, then Toolbox, or Ctrl+T), go to the History tab, right-click and choose the period, then switch the view to Positions so that each row is one closed position. Positions is the right view here, because the Deals view shows the opening and closing legs as separate lines and would double your trade count. Sort or filter by profit, add up the positive rows and the negative rows, and count each group. The MT5 export guide explains Positions, Deals and Orders in detail, and the trade history can also be saved as a report.

If you use a spreadsheet, the two averages are one formula each, with your profit column in C2:C101 as an example: =AVERAGEIF(C2:C101,">0") for the average win and =AVERAGEIF(C2:C101,"<0") for the average loss. In Notion the same split is a filter on a number property plus the Average calculation at the bottom of the column. AI Trading Journal writes one Notion row per closed position, with partial closes combined into a single row, so those two filtered columns are ready to read without cleaning the data first.

Four ways the averages mislead

• A small sample. With ten trades, one unusual trade moves an average a lot. Look at 50 trades or more before you trust the ratio, and treat anything less as a rough guide.
• One outlier. A single large winner can make the average win look healthy while the typical winner is much smaller. Compare the average with the median, or remove the biggest trade and recalculate.
• Mixed strategies. If you trade a breakout and a pullback setup and pool them, the blended averages describe neither. Calculate each setup separately; the tagging guide shows a simple naming system for that.
• Changing size. If you trade a larger lot after a win, dollar averages mix trades of different risk. R multiples (profit divided by the amount risked) remove that problem, so use them when your size varies.

Measuring the planned ratio against the real one

Most traders have a planned reward to risk, such as 1 : 2. The payoff ratio from this calculator is what you actually got. When the real number is well below the plan, one of three things is usually happening: stops are being moved further away, winners are being closed before the target, or the target is rarely reached. Each has a different fix, and the only way to tell them apart is to look at the individual trades. Tag early exits and moved stops in your journal for a few weeks, then rerun the calculator for the tagged and untagged groups. The gap between the two payoff ratios is the cost of the habit, in your own numbers.

Using it in a weekly review

• Run the calculator on the last 30 to 50 closed trades, once for everything and once per setup.
• Write the breakeven win rate and the actual win rate side by side, so the margin is visible.
• Pick the one number furthest from your plan and look at five of the trades behind it before you change any rule.
• Repeat after the same number of new trades, so you compare like with like. The weekly review checklist has a place for these figures.

For a wider view of what to measure, see win rate, profit factor and expectancy and the MT5 trading statistics guide. To see how a thin margin behaves across hundreds of trades, the risk of ruin calculator simulates it.

Limits of this calculator

• It treats every win as the average win and every loss as the average loss. Real trades vary, so the results are descriptive of the past sample.
• It does not include swaps, slippage or the effect of position sizing unless those are already in your profit figures.
• It does not predict future results. It is a record-keeping tool, not trading or investment advice.

Frequently asked questions

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