Risk/Reward Ratio

Concept

Risk–reward ratio (R:R) compares what you intend to risk on a trade (from entry to your stop) with what you target if the trade works (from entry to your take-profit or planned exit). It is often written as 1:X, meaning you risk one unit to seek X units. A 1:2 setup means your profit target is twice as far from entry as your stop—if both are hit with similar “full size” assumptions, winners pay for two losers of the same size. That is why many discretionary and systematic traders treat 1:2 as a practical minimum for trend or swing-style ideas: below that, win rate must be very high to survive fees, slippage, and adverse selection.

R:R is not a guarantee. The market does not owe you the target. The ratio describes your plan—distance to stop versus distance to objective—before uncertainty resolves. What matters for long-run survival is expectancy: the average profit or loss per trade across many outcomes, accounting for win rate, average win, average loss, and costs. A useful framing is: expectancy ≈ (win rate × average win) − (loss rate × average loss) − costs. If your planned R:R is 1:2 but you cut winners short and let losers run, your realized expectancy may be negative even though the chart “looked” like a good ratio at entry.

Why emphasize minimum 1:2 in education? Because breakeven win rate rises as R:R falls. Roughly, if you risk $1 to make $1 (1:1), you need a win rate above 50% after costs to have positive expectancy—and often well above once spreads and fees matter. At 1:2, breakeven win rate is near 33% before costs; at 1:3, near 25%. Lower required win rates give you room for error in execution and signal quality. That does not mean 1:2 is always optimal; some strategies rely on high win rate and smaller R:R. The lesson is: know your required win rate implied by your chosen ratio and ask honestly whether your edge supports it.

You measure R:R on the chart in the same units you trade: for a long, risk = entry − stop; reward = target − entry; ratio = reward / risk. Use logarithmic or linear price scale consistently with how you draw levels. Be careful with percentage moves: a “10% stop and 20% target” is 1:2 in percentage terms only if you are consistent about position sizing; absolute price distance per contract matters for P&L. Include a fee and slippage buffer in serious planning—especially on altcoins and in thin books—so your effective R:R is not worse than the lines on the chart suggest.

Expectancy also connects to sample size. Ten trades prove almost nothing; a hundred begin to hint. Track planned R:R at entry and realized R:R at exit separately. Many traders discover their actual average winner is smaller than planned because they exit early, while losers match the stop—classic negative expectancy behavior. The XT chart is where you define the ratio; discipline is what preserves it.

Finally, R:R interacts with position sizing. A great ratio on paper with oversized risk still blows accounts. A modest ratio with tiny risk may grow slowly but survive. Risk management is ratio × size × frequency; this lesson focuses the first term so you can pair it with the sizing rules from the previous tutorial.

When you scale out—taking partial profits at multiple targets—your effective R:R blends the pieces. A common pattern is half off at 1:1 and half running toward 1:3; the combined expectancy depends on how often price reaches each milestone. Modeling those branches in your journal prevents you from claiming “I always aim for 1:3” while systematically exiting at 1:0.5. Honest labeling of partial exits keeps your review aligned with reality.

Observe on XT

Open XT’s trading or chart interface for a liquid pair you follow. Enable the drawing tools (trend lines, horizontal lines, or measure tools—wording varies by client).

Identify a recent swing or level-based setup you might hypothetically trade. Place a horizontal line at a plausible entry, stop, and target. Use the platform’s measure or ruler tool if available to read vertical distance or percentage move for risk versus reward.

If you use TP/SL order attachments, locate where the UI shows estimated P&L or distance when you type stop and target prices. Compare those readouts to your hand calculation so you trust the screen math.

Practice

1. On an XT chart, mark entry (E), stop (S), and take-profit (T) for a hypothetical long on one timeframe you actually trade.
2. Compute risk per unit = E − S (absolute value); reward per unit = T − E; then R:R = reward / risk. Write the ratio as 1:X.
3. Repeat for a hypothetical short (risk = S − E, reward = E − T) on the same or another pair.
4. If X < 2, compute the breakeven win rate as 1 / (1 + X) before costs (this is the theoretical minimum win rate if average win and loss sizes match the plan). Note whether your strategy historically wins that often.
5. Adjust T (only if still justified by structure—not wishful thinking) until X ≥ 2, or explicitly document why you accept a lower ratio (e.g., mean-reversion with high win rate).
6. Add a mental 5–10% “fee and slip” haircut to your reward or widening to your risk on paper and recompute effective R:R.

Checkpoint

Q1: A trade risks $100 to target $250 profit. What is the risk–reward ratio expressed as 1:X?

• A) 1:1
• B) 1:1.5
• C) 1:2.5
• D) 1:0.4

Correct: C. Reward / risk = 250 / 100 = 2.5, so 1:2.5.

Q2: Why is 1:2 often cited as a minimum R:R for many discretionary swing or trend plans?

• A) Because regulators require it on all exchanges
• B) Because it lowers the win rate needed for positive theoretical expectancy compared with 1:1
• C) Because it guarantees every trade will hit the target
• D) Because stops are illegal below 1:2

Correct: B. Higher reward per unit of risk reduces required win rate before costs; it does not guarantee outcomes.

Q3: Expectancy in trading primarily depends on which combination?

• A) Only the color theme of your chart
• B) Win rate, average win, average loss, and costs—together—not R:R drawn at entry alone
• C) Only how large your monitor is
• D) Only the exchange’s logo

Correct: B. Realized outcomes and costs drive expectancy; planned R:R is one input, not the whole story.