An R-multiple expresses a trade's result as a multiple of the amount you risked. If you risked $100 (that's "1R") and made $300, the trade was +3R. Lost $100? That's -1R. Instead of thinking in dollars, you think in units of risk - and suddenly every trade is comparable, regardless of size.

Why it changes everything

Dollars are noisy - a $500 win on a huge position and a $500 win on a tiny one are not the same achievement. R normalizes them. It forces you to define your risk (your stop) before you enter, because 1R is set at entry. No defined risk, no R - which means R-thinking enforces discipline by design.

Expectancy in R

Once you track results in R, your expectancy becomes clear: average R per trade. A system averaging +0.3R per trade makes money steadily over many trades regardless of dollar size. It connects directly to risk-reward and win rate - the three describe the same underlying edge.

A +3R winner and a -1R loss tell you more than any dollar figure ever will.

Why it scales

Thinking in R lets you grow position size without changing your process - risk stays 1R whether that's $100 or $10,000. It's the language of position sizing and the reason systematic traders talk in R, not dollars: it makes performance legible and keeps risk of ruin under control as the account grows.