CFDs and forex are complex instruments and come with a high risk of losing money rapidly due to leverage. Risk disclosure

Kelly criterion in trading

This page explains the Kelly formula, the assumptions behind it, why full Kelly is very volatile, and how to compare Kelly-based risk levels in a simulator.

Extrade Pakistan editorial team ·

On this page
  1. What the Kelly criterion is
  2. The Kelly formula for position size
  3. The assumptions behind Kelly
  4. Why full Kelly is extremely volatile
  5. Fractional Kelly
  6. Comparing Kelly levels in the simulator
  7. Frequent questions

What the Kelly criterion is

The Kelly criterion is a formula that gives the share of your capital to risk on each bet or trade. It aims to maximise the long-run growth rate of capital. It was built for repeated bets where the odds and the payout are known exactly.

Traders use it to set risk per trade: the share of account equity you would lose if the stop loss is hit. It does not tell you what to trade or when, and it does not create an edge. It only sizes positions for an edge you already have. If that edge is not real, Kelly sizing makes losses bigger.

Leveraged forex and CFD trading can lose money fast. A sizing formula does not change that.

start1% per tradeDD −9%2% per tradeDD −17%5% per tradeDD −41%10% per tradeDD −72%100 identical trades, 40% wins, reward 1.5 × risk
The same sequence of trades at different risk per trade. With zero expectancy, higher risk does not add profit; it only deepens the drawdowns (DD). Illustrative example: made-up numbers for learning, not real prices or a broker's conditions.

The Kelly formula for position size

For trades with a fixed win size and a fixed loss size, the formula reads:

Kelly fraction = W − (L ÷ R)

Term Meaning
W Win rate: the share of trades that end in profit
L Loss rate: the share of trades that end in loss (all trades that are not wins)
R Payoff ratio: average win divided by average loss
Kelly fraction Share of equity to risk per trade

How to read the result:

The payoff ratio is the same idea as the risk-reward ratio, measured from real results rather than planned targets. The formula is closely linked to trading expectancy and the break-even win rate. If expectancy is not positive, the Kelly fraction is not positive either.

From Kelly fraction to lot size

The Kelly fraction is a share of equity at risk, not a lot size. To turn it into lots:

  1. Multiply account equity by the Kelly fraction (or by your chosen fraction of it). This gives the money you accept losing on the trade.
  2. Measure the distance from entry to stop loss in pips or points.
  3. Divide the money at risk by the loss per lot over that distance.

The position sizing page and the calculators handle this step.

The assumptions behind Kelly

Kelly is exact only when its conditions hold. In trading, most of them hold only roughly.

The most serious problem is overestimating your edge. Growth falls when you risk more than the true Kelly fraction. Risk far enough above it and expected long-run growth turns negative, even with a real edge. Because estimated edges are usually too optimistic, a "full Kelly" figure from your own data is often already above the true Kelly level.

Why full Kelly is extremely volatile

Even when every assumption holds, full Kelly is a rough ride.

With leverage, there is a further limit. A high Kelly fraction can push margin use close to stop-out levels. See effective leverage and avoiding margin calls.

Fractional Kelly

Fractional Kelly means risking a set share of the full Kelly figure instead of all of it. Traders do this for two reasons:

Many traders go further and treat Kelly only as an upper limit. They use a smaller fixed share of equity per trade, set by the drawdown they can live with rather than by the formula. The pages on risk per trade and fixed fractional vs fixed lot compare these approaches.

Comparing Kelly levels in the simulator

Typical result (median)1,245
Bad case (worst 10%)879
Good case (best 10%)1,678
Runs that lost half the balance0%
Average deepest drawdown18.9%
Expectancy per trade0.13 R

500 random runs of the same rules. This is a model of arithmetic, not a forecast: real markets have costs, slippage and streaks the model ignores.

The simulator runs a Monte Carlo model of a fixed-risk strategy. It plays many random sequences of trades with the win rate, payoff ratio and risk per trade you enter, then shows the spread of final results and the drawdowns along the way. It is a model, not a forecast.

A useful test:

  1. Enter your estimated win rate and payoff ratio.
  2. Run it with risk per trade set to the full Kelly fraction from the formula above.
  3. Run it again at a smaller share of full Kelly, then at a still smaller share.
  4. Compare the median result, the worst paths and the typical maximum drawdown.
  5. Lower the win rate slightly and repeat, to see what happens if your edge is overestimated.

Read the results as a range of possible paths. The simulator shows how much a sizing choice can swing; it says nothing about what your account will actually do. If the edge you enter is not real, every row of the simulation is wrong. Testing a method on a demo account is a separate step that checks how it works in live market conditions.

For a full framework, see risk management and build a personal risk plan.

Frequent questions

Is the Kelly criterion a way to make profit in trading?

No. Kelly only sizes positions for an edge you already have. It cannot create an edge, and with a wrong estimate it increases losses.

What does a negative Kelly result mean?

Your numbers show no positive edge. The formula's answer is zero size. Changing position size will not fix the system.

Why do traders use fractional Kelly instead of full Kelly?

Full Kelly produces deep drawdowns and is very sensitive to errors in the win rate and payoff ratio. A smaller share of Kelly reduces both problems at the cost of some long-run growth.

Is the Kelly fraction the same as lot size?

No. It is a share of equity at risk per trade. You convert it to lots using your stop-loss distance; see position sizing.

How much trade history do I need to estimate Kelly?

There is no fixed amount, but small samples give unreliable estimates. The fewer trades you have, the more cautious your fraction should be.

Does the simulator predict my results?

No. It is a Monte Carlo model of the inputs you give it. It shows a range of possible outcomes and drawdowns, not a forecast.

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