Risk/Reward Ratio — The Only Metric That Survives

The risk/reward ratio (RR) is the simplest number in trading and the one most traders ignore. It is the ratio of how much you stand to lose if you are wrong to how much you stand to gain if you are right. Everything else — win rate, edge, expectancy — is a function of it.

What "risk/reward" actually means

Risk = distance from your entry to your stop loss, in price terms. Reward = distance from your entry to your take profit, in price terms.

RR is written as 1:N where N is reward / risk.

• Long BTC at $42,000, stop at $40,700, target at $44,600 → risk = $1,300, reward = $2,600 → RR = 1:2.
• Same entry and stop, but target at $43,300 → reward = $1,300 → RR = 1:1.
• Same entry and stop, target at $48,000 → reward = $6,000 → RR = 1:4.6.

The "1:" is always your risk. The number on the right is the multiple.

Why RR matters more than win rate

This is the single most counterintuitive idea in trading: a trader who loses 60% of their trades can still be profitable.

Imagine 100 trades, all with the same 1% account risk per trade, and a 1:2 RR (target is 2× the stop distance away):

• Wins (40 trades × +2%) = +80%
• Losses (60 trades × −1%) = −60%
• Net = +20% on the account, after 100 trades, losing more often than winning.

Now consider a trader with a 60% win rate but a 1:1 RR:

• Wins (60 trades × +1%) = +60%
• Losses (40 trades × −1%) = −40%
• Net = +20% on the account.

Same outcome with very different win rates — because RR did the work. Now flip one parameter:

• 60% win rate, 1:0.5 RR: Wins (60 × 0.5%) + Losses (40 × −1%) = +30% − 40% = −10%. A trader who wins 6 out of 10 trades is losing money.
• 40% win rate, 1:3 RR: Wins (40 × 3%) + Losses (60 × −1%) = +120% − 60% = +60%. A trader who wins 4 out of 10 trades is crushing it.

This is why every professional risk framework starts with "minimum 1:2 RR" — because below it, you need an unrealistically high win rate to stay above water.

Expectancy

The formal version of the math above is expectancy:

Expectancy = (Win% × Avg Win) − (Loss% × Avg Loss)

For RR-symmetric trades (every trade risks the same amount):

Expectancy per trade = (Win% × RR) − (Loss%)

To be profitable, expectancy must be > 0. Plug in numbers:

• 50% win rate, 1:1 RR → 0.5 − 0.5 = 0% (breakeven before fees)
• 50% win rate, 1:1.5 RR → 0.75 − 0.5 = +0.25% per trade
• 40% win rate, 1:2 RR → 0.8 − 0.6 = +0.2% per trade
• 33% win rate, 1:3 RR → 0.99 − 0.67 = +0.32% per trade

Notice the pattern: once your RR is good, your win rate can drop substantially before you slip back to breakeven.

How to use RR on every trade

The discipline is simple: before you click buy, calculate RR. If it is below your minimum (usually 1:2), do not take the trade. Most pro traders use 1:2 as the floor; some use 1:3.

The check looks like this:

1. Identify the stop level (chart structure).
2. Identify the target level (next structure).
3. Calculate RR.
4. If RR is below the threshold → skip the trade.

The benefit of this discipline is that bad trades reveal themselves before you take them. You see immediately that "I want to long here but my stop has to be 5% away and the next resistance is only 2% above" — and the rejection of that trade is what saves your account.

Win rate × RR — the trade-off

Different strategies sit at different points on the win-rate-vs-RR curve:

*Hand-wavy, illustrative — actual numbers depend on your edge.

The "right" balance is the one whose drawdown profile you can psychologically tolerate. A 30%-win-rate trend strategy with massive winners makes profitable traders rich and impatient traders broke (because of the long losing streaks). A 70%-win-rate scalp strategy with thin profits makes patient traders rich and impatient traders bored.

RR is per-trade, expectancy is per-system

A single 1:5 trade is not "better" than a 1:1.5 trade — RR is per trade. What matters over time is expectancy, which combines RR and win rate. Some of the best traders in the world run 1:1 strategies with a 60% hit rate. They are not "doing it wrong" by having low RR per trade; their expectancy is positive.

The reason to care about RR for newer traders is that you do not yet know your true win rate. With limited sample size, win-rate estimates are unstable. RR is observable up front — you can measure it on a chart before you trade. So maximizing RR is a way to bias your expectancy positive even when your win rate is unknown.

Common mistakes

• Counting paper RR while ignoring fees and slippage. A 1:1.5 RR on paper can be 1:1.2 in reality after fees + slippage on entry and exit (especially on small-cap alts). Use the Profit Calculator to model real-world net.
• Inflating the target to force the math. "If I just move TP up 0.5%, RR becomes 1:2." Yes, on paper. In reality, the target now has a lower hit rate, so you broke expectancy.
• Ignoring partial RR. If you scale out, your effective RR is a weighted average of TP1/TP2/TP3 RRs, not just TP3's RR.
• Not tracking realized RR. What you planned and what you got are different numbers. Journal both.

In CSAPP

Every CSAPP signal displays the planned RR for each target on the signal card. Filter signals by RR if you want to skip setups below your threshold.

Related

• Stop Loss
• Take Profit
• Position Sizing
• Risk Management