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Guide · Expectancy

How Trading Expectancy Works

The short answer

Expectancy is the average outcome per trade. It is the only number that says whether a strategy earns anything.

What expectancy is

Expectancy is the average result of one trade, taken over many. It is the only single number that answers whether a strategy makes money, because it contains both how often you win and how much you win when you do.

E = (win rate × average win) − (loss rate × average loss)

Positive expectancy means the strategy earns, on average, per trade. Negative means it loses, however good any individual trade felt.

A worked example

A strategy wins 40% of the time. Winners average $300; losers average $150.

E = (0.40 × 300) − (0.60 × 150)
= 120 − 90
= +$30 per trade

Thirty dollars per trade, and it loses six times out of ten. Over 200 trades that is $6,000, arrived at through 120 losses. The losing feels like failure the whole way.

Why a high win rate proves nothing

Reverse the numbers. A strategy that wins 70% of the time, with $100 winners and $400 losers:

E = (0.70 × 100) − (0.30 × 400)
= 70 − 120
= −$50 per trade

Seven wins in ten, and it bleeds. This is the shape of most strategies that feel good to trade: frequent small wins, occasional large losses, and a comfortable equity curve right up until it is not.

Worth knowing

The two examples differ by $80 per trade and the losing one has a win rate 30 points higher. Any metric that ranks them the other way round — win rate, longest winning streak, percentage of profitable months — is measuring comfort, not edge.

Expectancy per trade vs per unit of risk

Dollar expectancy depends on position size, so it cannot compare two strategies traded at different sizes. Dividing by the amount risked gives expectancy in R — multiples of the risk taken — which is size-independent:

E(R) = (win rate × average win in R) − (loss rate × average loss in R)

A strategy with E = +0.2R earns a fifth of what it risks, per trade, whatever the account. That is the number worth tracking, and the one to record in a trading journal rather than recomputing from memory.

What it does not tell you

Expectancy is an average, and averages say nothing about order. A strategy with +0.2R expectancy can still deliver twelve losses in a row, and whether you survive that depends on position size, not on expectancy.

It also assumes your sample is representative. Twenty trades tell you almost nothing; the standard error on a win rate from twenty observations is wide enough to contain both of the examples above. See how drawdown affects recovery for the other half of the problem.

Expectancy and profit factor answer different questions

Profit factor is gross profit divided by gross loss. It is the other statistic quoted alongside expectancy, and the two disagree in a way worth understanding.

expectancy = average result per trade
profit factor = total won ÷ total lost

A strategy with profit factor 1.5 wins 50% more than it loses in total, but that says nothing about how many trades produced it. Twenty trades at profit factor 1.5 and two thousand at profit factor 1.5 describe very different confidence in the same number.

Expectancy in R has the same weakness and one advantage: it is per trade, so multiplying by a trade count gives a projection directly, and a projection makes the sample size impossible to ignore.

How long before the number settles

Expectancy inherits its uncertainty from the win rate and the two averages, and all three are estimated. Early on it moves a lot, and the movement is the estimate rather than the strategy.

Roughly how much a single outlier moves expectancy
Trades so farEffect of one 5R winner
20Moves expectancy by about 0.25R
100About 0.05R
500About 0.01R

At twenty trades a single good outcome swamps everything else, which is why a strong first month says very little. The figure is worth acting on somewhere past a few hundred trades, and worth recording from the first one.

Expectancy is not a promise about any given month

A strategy with +0.2R expectancy over five hundred trades still produces losing months, and the frequency of them surprises people who have only seen the average.

at +0.2R expectancy and typical variance
about 1 month in 3 finishes down
about 1 quarter in 6 finishes down

Neither is evidence of a problem. The average is a long-run property, and the path to it is noisy enough that any single month carries almost no information about whether the edge is intact.

Common questions

What is trading expectancy?

The average result of one trade taken over many: E = (win rate × average win) − (loss rate × average loss). It is the only single number that says whether a strategy earns anything, because it contains both how often you win and how much.

Can a strategy with a low win rate be profitable?

Yes. A 40% win rate with $300 winners and $150 losers earns $30 per trade. A 70% win rate with $100 winners and $400 losers loses $50 per trade. Win rate on its own determines nothing.

What this depends on

MethodThe rule is stated precisely enough to run, and the same rule produces every figure quoted.
MeasuredWhere a number comes from our own testing it carries its sample size and its data vintage.
LimitsCosts, slippage and non-USD accounts change the arithmetic. See methodology.