Free tool

Kelly Criterion Calculator

The Kelly criterion calculator shows the bet size that maximizes long-run capital growth in theory, with a live simulation of full, half and quarter Kelly and of overbetting. From your win rate and average win and loss it calculates the Kelly fraction and makes visible why experienced traders rarely bet full Kelly.

Free, no sign-up, runs in your browser. For illustration only; not investment advice.

Kelly criterion calculator

The bet size that maximizes long-run growth in theory, with a growth simulation that shows why professionals risk only a fraction of Kelly.

Full Kelly—
Half Kelly (common in practice)—
Quarter Kelly—
Expected value / trade—
Full Kelly Half Quarter 2× Kelly (overbet)

Read more: Kelly-Criterion im Trading: optimale Positionsgrößen (German) · Risk-Management mit System: Position-Sizing in der Praxis (German)

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The Kelly criterion gives the fraction of capital per trade that maximizes long-run (geometric) growth, assuming your inputs are correct. With win rate W and payoff ratio b = average win ÷ average loss, Kelly f* = W − (1 − W) ÷ b. Expected value per trade in R = W × average win − (1 − W) × average loss.

Worked example with the default values: W = 55% and b = 1.5 give f* = 0.55 − 0.45 ÷ 1.5 = 25%, half Kelly 12.5% and quarter Kelly 6.25%. The expected value is about 0.38 R per trade. The chart runs one simulated sequence of trades, identical for every line, on a log scale. In theory, half Kelly keeps roughly three quarters of the growth rate with about half the volatility; at around 2× Kelly the expected growth falls to zero or below.

Limits: win rate and payoffs are estimates, and Kelly reacts strongly when they are too optimistic. Trades are assumed independent with fixed outcomes, losses never exceed the average loss, and costs are ignored. If the expected value is zero or negative, Kelly is 0%: no bet size makes the setup profitable. The result is a theoretical reference, not a recommendation for how much to risk. To turn a percentage into units, use the position size calculator; to see the spread of outcomes, try the Monte Carlo simulator.