Thinking in R: Why Risk/Reward Matters More Than Win Rate

Most new traders ask one question: "What percentage of my trades win?" On its own, win rate says almost nothing. What decides whether you make or lose money over time is win rate combined with the size of wins and losses. The simplest way to see that combination is to measure trades in R.

What is R?

R is the amount you risk on a trade: the distance from entry to stop. Buy bitcoin at $80,000 with a stop at $79,200 and you risk $800 per coin; that $800 is one R. If price reaches $81,600 and you sell, you made twice your risk: +2R. If the stop hits, −1R.

R makes trades of different sizes and symbols comparable. It no longer matters that one trade was bitcoin and another gold; both are measured against the risk you took.

Simple maths that changes everything

Say you risk 1R on every trade and aim for 2R. If only 4 out of 10 trades win:

• 4 wins × 2R = 8R gained
• 6 losses × 1R = 6R lost
• Result: +2R net with a win rate of just 40%.

Now the opposite: someone who takes profits early (0.5R) but lets losses run to 3R. Even with an 80% win rate, 8 wins × 0.5R = 4R and 2 losses × 3R = 6R, for a net −2R. A high win rate, and a shrinking account.

Expectancy per trade

Both numbers fit in one formula: (win rate × average win in R) minus (loss rate × average loss in R). If the result is positive, your method has an edge over the long run. That number is your average R, or expectancy per trade.

Size positions from R

Once R is defined, position size stops being a guess. If your rule is to risk at most 1% of the account per trade, you choose the size so that a stop-out loses exactly that 1%. That way a losing streak can't wipe you out.

The bottom line

Next time someone boasts about their system's win rate, ask "what's the average R?". That simple question separates traders with a real edge from those who were merely lucky.