If you track trades only as wins and losses, two “green” days can hide completely different risk profiles. One trader might have made $800 risking $50 per trade; another made the same dollar amount but risked $400 on a single impulsive entry. R-multiple trading fixes that by measuring every outcome relative to the risk you planned — not dollar P&L alone.
R-multiple trading is the foundation of serious journal review. Once every trade is expressed in R, you can calculate expectancy, compare setups fairly, and review weekly performance without fooling yourself with account-size noise.
What is an R-multiple?
One R equals the amount you were willing to lose on a trade — your planned risk at entry. If you risk $100 and make $200, that is +2R. If you lose your full planned stop, that is −1R. If you scratch at breakeven, that is 0R. Partial exits can be split: half off at +1R and half stopped at −1R averages to 0R on a two-lot logical trade.
Why traders use R instead of dollars
Account size changes. Position size changes. Market volatility changes. Comparing $400 on one trade and $40 on another tells you almost nothing about process quality. R puts every trade on the same scale so expectancy and setup analytics stay honest across weeks and months.
- Compare trades across forex, futures, and equities without dollar distortion
- See whether a “big win” was skill or oversizing relative to plan
- Build expectancy from a consistent unit of risk
- Review weekly and monthly performance in total R, not just equity curve shape
- Scale position size later while keeping process metrics stable
How to define 1R before you enter
Before the trade, write down where your stop is and how much capital that stop represents if hit. That dollar or pip distance × position size = 1R. Your target can be expressed the same way: a 2:1 reward-to-risk target is +2R if fully hit.
Fixed-dollar risk traders often use the same 1R every session — e.g. always risk $75. Fixed-fractional traders use a percentage of equity. Both work. The rule is: define 1R before entry and never move the goalposts after the trade closes.
Common mistakes
- Redefining 1R after the trade to make results look better
- Using max drawdown on the day instead of planned stop risk
- Ignoring partial exits without splitting R across legs
- Mixing R from different journals or strategies in one average
- Counting a “mental stop” you did not actually use as 1R
R-multiple vs risk-reward ratio
Risk-reward (RR) is the plan: “I am targeting 2:1.” R-multiple is the result: what actually happened. You might plan 2:1 and exit at +0.5R because price stalled. Journals need both — planned RR at entry and realized R at exit — so you can measure execution gap over time.
Real-world examples
Forex example: You risk 20 pips on EURUSD ($100). Price hits +40 pips. Result = +2R. Futures example: 1R is $150 on an ES trade. You make $225 before commission. Result = +1.5R. Scratch example: stopped at breakeven after moving stop — log 0R, not a “win.”
Logging R in your journal
Record planned R at entry, then actual R at exit. Add one primary tag for setup type so you can filter analytics later — e.g. “London breakout” vs “NY reversal”. Over 30–50 trades, patterns in R matter more than any single outcome. Breakeven and small losses still belong in the sample.
Review total R by week and by tag monthly. If total R is positive but one tag is −0.4R average, you have a clear decision: reduce frequency on that tag or refine rules. Without R, that signal stays buried in dollar noise.
How Traderizz helps
Traderizz is built around R-multiple journaling. Log RR per trade, and the overview dashboard calculates total R, expectancy, and win rate automatically. Use tag filters to see which setups earn positive average R, and open the trader diary to review sessions where R clustered positive or negative.
If you are migrating from a spreadsheet, CSV import supports bulk load so historical R data feeds analytics immediately. The goal is one habit — review in R, not hindsight — without manual formulas after every session.