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Guide · Risk

How Much Should You Risk Per Trade?

The short answer

Between 0.25% and 2% for most systematic traders, and the number follows from drawdown tolerance rather than confidence.

The honest answer is a range

Between 0.5% and 2% of the account per trade is the conventional band, and the conventional band is roughly right — but for a reason worth understanding rather than a rule worth obeying.

The reason is that losing streaks are longer than intuition suggests, and the damage from one compounds into the size of the next.

What a losing streak actually costs

Risking a fixed fraction, each loss shrinks the account, so each subsequent loss is smaller in dollars. That is the point of fixed-fractional sizing: it cannot ruin you outright. What it does do is grind.

Account remaining after a run of consecutive losses, by risk per trade
Risk/trade5 losses10 losses20 losses
0.5%97.5%95.1%90.5%
1%95.1%90.4%81.8%
2%90.4%81.7%66.8%
5%77.4%59.9%35.8%
10%59.0%34.9%12.2%

At 2% risk, twenty consecutive losses leaves two-thirds of the account — recoverable. At 10% it leaves an eighth, which needs a 719% gain to undo. The difference between the rows is not aggression, it is whether the strategy gets to continue.

How long is a losing streak, really

For a strategy winning 40% of the time, the chance of ten consecutive losses somewhere in 200 trades is not remote — it is likely. Streaks of that length are an ordinary property of the distribution, not evidence that anything has broken.

P(a specific run of 10 losses) = 0.6^10 = 0.6%
across ~190 possible starting points, one is probable

Where this goes wrong

This is why the risk figure has to survive the worst streak you have not had yet, not the worst one you have had. Sizing off historical maximum drawdown fits the number to the sample and understates the tail.

Adjusting the number

  1. Fewer, more correlated positions → lower risk. Three EURUSD, GBPUSD and AUDUSD longs at 1% each are not three 1% risks; on a dollar move they are closer to one 3% risk.
  2. Shorter track record → lower risk. Under a hundred trades you do not yet know your win rate to within ten points.
  3. Wider stops do not mean higher risk. They mean a smaller position. That is the whole function of the position size formula.

Kelly, and why nobody trades full Kelly

The Kelly criterion gives the fraction that maximises long-run growth. For a strategy with edge and payoff it is:

f* = (p × b − q) ÷ b p = win rate, q = 1 − p, b = payoff ratio

A 55% strategy at 1:1 gives f* = 0.10 — ten percent of the account per trade. Almost nobody should take that, for two reasons.

  1. Kelly assumes the inputs are known. They are estimated. Overstating the edge by a little overstates the optimal fraction by a lot, and betting above f* reduces growth rather than increasing it.
  2. Kelly optimises growth, not tolerability. Full Kelly produces drawdowns above 50% routinely, which the recovery arithmetic shows is close to unrecoverable.

Half-Kelly gives around three-quarters of the growth with roughly half the drawdown, and quarter-Kelly is where most practitioners land. On the example above, quarter-Kelly is 2.5% — which is how the conventional 1–2% band gets derived rather than assumed.

Why "risk more on the good ones" usually fails

Varying risk by conviction is intuitive and rarely survives contact with a record. It requires your conviction to be calibrated — that the trades you rate highly genuinely win more often — and almost nobody checks whether theirs is.

  1. Check before you scale. Tag trades by conviction at entry, then compare the win rate and expectancy of each tier after a hundred of them. If the tiers do not separate, conviction is noise and scaling on it adds variance for nothing.
  2. Scale gently if they do separate. A 1.5x on the top tier captures most of the benefit. Doubling or tripling concentrates the account into a judgement that has been validated on a small sample.
  3. Never scale after a loss. Increasing size to recover is the single most reliable way to convert a survivable drawdown into a terminal one.

Where this goes wrong

Conviction is measured at entry or not at all. Rating a trade after seeing how it went is recording the outcome, not the judgement.

Risk as the account changes

Fixed-fractional sizing scales automatically: risk 1% and the dollar amount rises with the account and falls with it. That is the property that makes ruin arithmetically hard, and it has one consequence people find uncomfortable.

After a drawdown, position sizes are smaller, so the recovery is slower than the fall. That is not a flaw. It is the same mechanism that stopped the fall becoming terminal, and overriding it — trading the pre-drawdown size on a reduced account — raises the effective risk percentage exactly when the evidence for the strategy is weakest.

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.