A trader risks $2,000 on Trade A and $800 on Trade B. Both lose. They shrug — two losses. But Trade A was 4% of capital; Trade B was 0.8%. Without a standard unit of measurement, risk is invisible. That invisibility compounds. After ten such trades, the account is down 22% and the trader has no idea why their system "stopped working."

The R-Multiple system fixes this by defining a single baseline risk unit — 1R — as the exact dollar amount a trader is willing to lose on any given trade. Every outcome is then expressed as a multiple of that unit. A loss equals -1R. A trade that returns twice the risk equals +2R. The maths becomes portable, comparable, and honest.

CONCEPT1R = your maximum loss per trade, defined in dollars before entry — not after.
WARNINGVarying position size without an R framework guarantees distorted performance data.
KEY IDEAA system with a 40% win rate can be profitable if average winners exceed 2R.

Consider a trader with $50,000 in capital who sets 1R at 1% — $500 per trade. A stop-loss is placed at exactly that distance from entry. Position size is calculated backward from the stop, not forward from a gut feeling. Win three trades at +2R each: +$3,000. Lose four at -1R each: -$2,000. Net result: +$1,000, with a 43% win rate. The edge comes from the ratio, not the frequency.

R-Multiple: 7 Trades (3W × +2R, 4L × -1R)-1R0+1R+2RWLWLWL

Tracking trades in R-multiples over a large sample reveals a system's true expectancy — the average R earned per trade. Expectancy = (Win% × Avg Win R) − (Loss% × Avg Loss R). A system with 40% wins at +2.5R and 60% losses at -1R produces expectancy of +0.4R per trade. That number, calculated honestly across 50-plus trades, is what tells a trader whether they have an edge or a story. Deeper frameworks around risk-reward ratio methodology, the mechanics of position sizing in practice, and the statistical basis of expected value in probability all reinforce why R-multiples work — they convert chaotic outcomes into measurable data.

Structure your trades around R before entry, log every outcome in R after exit, and let expectancy do the talking.

This content is for educational purposes only and does not constitute financial product advice. Past performance is not indicative of future results. Profit Logic Ltd (ACN 688 669 936) accepts no responsibility for errors or omissions in this content or anywhere on this website. Always seek advice from a licensed financial adviser before making investment decisions.