Ask a struggling trader how they chose their lot size and you will usually hear something like "0.10 felt about right" or "I wanted the profit to be worth it." Both answers share the same structural flaw: the size came first, and the risk was discovered later — usually at the worst possible moment. Professional sizing works in exactly the opposite direction. You decide what a losing trade is allowed to cost, you measure how far away your stop-loss sits, and the lot size falls out of the arithmetic. It is the output of the calculation, never the input.
This ordering is not a stylistic preference. It is the difference between a trading account that can survive a normal losing streak and one that cannot. Every strategy — manual or automated, brilliant or mediocre — produces losing streaks. Sizing is the only tool that decides whether those streaks are an inconvenience or an ending.
The formula, in the right order
The calculation has three moving parts, and they must be resolved in this sequence:
- Risk per trade — the slice of the account one losing trade may cost. Common choices are 0.5%, 1%, or 2%. This is a decision, not a hope.
- Stop distance — how many pips or points sit between your entry and your stop-loss. This comes from the strategy, not from the size you would like to trade.
- Lot size — risk amount divided by (stop distance × value per pip per lot). The result is the largest position consistent with the first two answers.
A worked example
Take a $10,000 account risking 1% per trade — $100. The setup calls for a 25-pip stop on EURUSD, where a standard lot is worth roughly $10 per pip. Lot size = 100 ÷ (25 × 10) = 0.40 lots. If the stop is hit, the account loses $100 — exactly what was decided in advance. Notice what happens when the stop needs to be wider, say 50 pips: the size halves to 0.20 lots. The risk stays constant; the size breathes. Traders who fix their size and let the risk float have the relationship backwards.
The same arithmetic exposes a common trap: doubling size after a win, or after a loss "to make it back." Both replace a decided risk with an emotional one, and the account inherits the volatility of your mood.
The streak test
Before trusting any per-trade risk number, run it through a streak. At 1% risk, eight consecutive losses — entirely normal for good strategies — cost roughly 7.7% of the account. Uncomfortable, recoverable. At 5% risk, the same streak costs about 34%, which requires a 51% gain just to get back to even. The streak test is why serious risk figures look boring: they are chosen for the losing week, not the winning one.
Sizing is also where automated trading earns its keep: a robot computes this arithmetic identically on every trade and cannot talk itself into an exception. Whatever else you automate or don't, automate this.