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Risk

Risk-reward ratio (RRR)

Ratio of planned profit target to planned risk. 1:3 = $1 risked for $3 of target. The single most-cited but most-misunderstood trade quality metric.

What it means

Risk-reward ratio is the ratio of your planned profit target to your planned stop-loss distance. A trade with $100 risk and $300 target has RRR of 1:3. RRR is PLANNED (set at entry); the actual outcome (R-multiple) is the realized result. Higher RRR means each winning trade earns more R, allowing profitability at lower win rates.

Why it matters

RRR is the lever that lets low-win-rate strategies be profitable. A system winning 35% of trades is unprofitable at 1:1 RRR (expectancy = 0.35 - 0.65 = -0.3R) but profitable at 1:3 (expectancy = 0.35×3 - 0.65 = +0.4R). Most retail traders default to 1:2 or 1:3 RRR without verifying the win rate their system actually achieves — and end up with 'good RRR but losing system' setups.

How to use it

Set RRR BEFORE entry, anchored to structural levels: stop just beyond invalidation, target at the next major opposing structural level. Don't force RRR — if the structure offers 1:1.5, the trade has 1:1.5 RRR, not 1:3 just because you'd like it. After 30+ trades, check whether the win rate at your typical RRR produces positive expectancy.

Example

EUR/USD long entry 1.0850. Stop at 1.0820 (30 pips, 1R). Two target options based on structure: (a) 1.0910 (60 pips = 1:2 RRR), (b) 1.0940 (90 pips = 1:3 RRR). If win rate at 1:2 = 55%, expectancy = +0.2R. If win rate at 1:3 (further target = lower hit rate) = 40%, expectancy = +0.2R. Different paths to the same edge.

Deep dive

Win rate and RRR are inversely correlated

Empirical fact: as you push the target further away (raising RRR), the probability of hitting the target before the stop falls. A 1:2 RRR target hits ~55-65% of the time on disciplined setups; 1:3 hits ~40-50%; 1:5 hits ~25-35%. The product of (win rate × RRR) is what matters for expectancy. Pushing for very high RRR without recognising the win-rate decay is the most common mistake — '5:1 RRR sounds great' until you realize the win rate is 15%.

Setting RRR mechanically vs structurally

Two approaches. (1) Mechanical: fixed RRR (always 1:2 or always 1:3). Easier to backtest but ignores market structure — a 1:3 target might be in dead air with no resistance, while 1:1.8 hits the actual structural level. (2) Structural: target at the next major opposing level (prior swing, range high, MA). RRR varies by setup. The structural approach has better real-world results because it aligns targets with actual support/resistance where the market is more likely to react.

Frequently asked

What's a minimum RRR I should aim for?

Depends on your win rate. At 35% win rate, you need >1:1.85 RRR to be profitable. At 50%, you need >1:1. At 65%, >1:0.54 (i.e., even 1:1 is profitable). Don't set a minimum RRR without first establishing your actual win rate.

Should I trail my stop to lock in profit?

Trailing changes RRR mid-trade. A 1:3 setup that's trailed to break-even effectively becomes either +3R (target hit) or 0R (trailing stopped at entry) — no losses possible. Trailing improves win-rate-style metrics but caps RRR. Empirically, trailing helps system stability but reduces average R per win.

How does RRR interact with position sizing?

RRR is independent of position size. A 1:3 setup at 0.5% account risk and a 1:3 setup at 2% account risk have the same RRR. What changes is the absolute dollar P&L — RRR controls the SHAPE of the distribution, position sizing controls the SCALE.

Can I have variable RRR across trades?

Yes — most professional traders do. Some setups offer 1:1.5, others 1:5. Take the setup with the highest structural-RRR alignment, not a forced number. Average RRR across all trades matters for expectancy; individual trade RRR can vary.

Take it further

Want a worked example or a deeper dive? Ask Rocky how this concept applies to your specific watchlist or trade idea.

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