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Expectancy and luck

The average R per trade, and how wildly luck spreads it. · 6 min

Expectancy is what a method earns per trade on average, in R. It combines how often you win with how much you win and lose:

expectancy = win rate × average win − loss rate × average loss

Winning 40% of the time at 2R gives 0.4 × 2 − 0.6 × 1 = +0.2R per trade: about 20R per 100 trades. Positive expectancy is necessary, but it does not mean every 100 trades make money. Run the simulator below and look at the band: the same edge produces very different years.

The Kelly fraction, p − (1 − p) ÷ b, is the bet size that maximises long-run growth when the edge is known exactly. It never is, and full Kelly swings are brutal, so traders use a fraction of it.

Expectancy and luck

The same edge, traded 100 times on 1,000 alternate timelines. The band holds 90% of outcomes; thin lines are single paths.

Expectancy +0.350R per trade · profit factor 1.64

-7%37%80%0100
Median result
40.3%
5% worst / best
7.2% / 78.1%
Chance of ending down
1.2%
Median max drawdown
7.7%
Chance of a 50% drawdown
0.0%
Kelly fraction
17.5% (half-Kelly 8.8%)