Risk Metric

Risk-Reward Ratio

Quick Answer

A good risk-reward ratio is 1:2 or higher, meaning your potential profit is at least twice your potential loss on each trade, allowing profitability even with a win rate below 50%.

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The Formula

Risk-Reward Ratio = (Entry Price - Stop-Loss) / (Take-Profit - Entry Price)

Entry Price is where you open the position, Stop-Loss is your predetermined exit for a losing trade, and Take-Profit is your target exit for a winning trade. For short trades, the numerator and denominator are reversed.

Benchmark Ranges

Level Range What It Means
Excellent >= 1:3 Potential reward is 3x or more the risk — only need to win 25%+ of trades to profit
Good 1:2 to 1:3 Solid reward relative to risk — profitable with a 34%+ win rate
Acceptable 1:1 to 1:2 Requires a win rate above 50% to be profitable long-term
Poor < 1:1 Risk exceeds reward — demands a very high win rate to avoid losses

How to Track

01

Define your stop-loss and take-profit levels before entering every trade

02

Calculate the ratio by dividing risk (distance to stop) by reward (distance to target)

03

Log the planned R:R and actual R:R for each trade in your journal

04

Review your average realized R:R weekly to compare planned vs. actual outcomes

How to Improve

Only take setups where the R:R is 1:2 or better based on key support and resistance levels

Use partial profit-taking at 1R to lock in gains while letting runners reach 2R or 3R

Tighten stop-losses by entering closer to key technical levels rather than using arbitrary distances

Avoid moving your take-profit closer out of impatience — let the original thesis play out

Combine R:R filtering with setup accuracy to focus on high-probability, high-reward trades

Risk-reward ratio measures the potential loss versus the potential gain on a trade before you enter it. It is one of the most fundamental risk management metrics in trading, serving as a pre-trade filter that helps you evaluate whether a setup is worth taking. By comparing the distance to your stop-loss against the distance to your take-profit, you quantify exactly how much you stand to gain for every dollar you put at risk.

Formula & Calculation

Risk-Reward Ratio = (Entry Price - Stop-Loss) / (Take-Profit - Entry Price)

Where:

  • Entry Price = the price at which you open the position
  • Stop-Loss = your predetermined exit price if the trade moves against you
  • Take-Profit = your target exit price if the trade moves in your favor

For a long trade, risk is the distance below your entry to the stop-loss, and reward is the distance above your entry to the take-profit. The result is expressed as a ratio — 1:2 means you risk one unit to potentially gain two units. A lower first number relative to the second indicates a more favorable setup.

For short trades, the calculation is reversed: risk is the distance above entry to the stop-loss, and reward is the distance below entry to the take-profit.

Benchmarks

LevelRangeWhat It Means
Excellent>= 1:3Potential reward is 3x or more the risk — only need to win 25%+ of trades to profit
Good1:2 to 1:3Solid reward relative to risk — profitable with a 34%+ win rate
Acceptable1:1 to 1:2Requires a win rate above 50% to be profitable long-term
Poorunder 1:1Risk exceeds reward — demands a very high win rate to avoid losses

These benchmarks assume commissions and slippage are factored in. A 1:2 ratio that becomes 1:1.7 after costs is still acceptable, but a 1:1 ratio that erodes to 1:0.8 becomes dangerous.

Practical Example

A trader with a $25,000 account identifies a long setup on AAPL trading at $185.00. Based on the nearest support level, she places her stop-loss at $183.50 — a risk of $1.50 per share. Her take-profit, set at the next resistance zone, is $188.00 — a potential reward of $3.00 per share.

Risk-Reward Ratio = $1.50 / $3.00 = 1:2

She risks 1% of her account ($250) on this trade, which means she can buy 166 shares ($250 / $1.50). If the trade hits her target, she earns $498 (166 x $3.00). If stopped out, she loses $249 (166 x $1.50).

With a 1:2 ratio, she only needs to win 34% of similar trades to break even. If her win rate on this setup type is 45%, her expected value per trade is positive: (0.45 x $498) - (0.55 x $249) = $224.10 - $136.95 = $87.15.

According to the benchmarks, this 1:2 ratio falls in the “Good” range.

How to Track Risk-Reward Ratio

  1. Set levels before entry — Determine your stop-loss and take-profit based on technical levels (support, resistance, moving averages) before placing the trade, never after.
  2. Calculate the ratio — Divide the risk distance by the reward distance. If AAPL entry is $185, stop is $183.50, and target is $188, the R:R is $1.50 / $3.00 = 1:2.
  3. Log both planned and actual — Record your intended R:R at entry and your realized R:R at exit. The gap between them reveals whether you are cutting winners short or letting losers run.
  4. Review weekly — Compare your average planned R:R against your average realized R:R to identify execution problems. A consistently lower realized ratio signals premature exits.

How to Improve Risk-Reward Ratio

  1. Enter closer to key levels — Placing entries near support (for longs) or resistance (for shorts) naturally tightens your stop-loss distance, improving the ratio without requiring a more distant target.
  2. Use partial exits at 1R — Take half your position off at a 1:1 move, then let the remainder run toward 2R or 3R. This locks in profit while preserving upside.
  3. Filter setups by minimum R:R — Refuse trades below 1:2 unless your historical data shows a win rate above 60% for that setup type. This single rule eliminates most low-quality trades.
  4. Avoid widening stops — If a trade requires a wider stop than your plan allows, skip it. Widening your stop to avoid being stopped out destroys the original ratio.
  5. Combine with expectancy — R:R alone does not tell you if a strategy works. Pair it with win rate to calculate expectancy and confirm the setup is positive expected value.

Common Mistakes

  1. Fabricating favorable ratios — Setting a take-profit at an unrealistic level just to make the numbers look good. Your target must correspond to an actual technical level where price is likely to reach.
  2. Ignoring win rate — A 1:5 ratio means nothing if you only win 5% of trades. R:R must be evaluated alongside your actual win rate for a complete picture.
  3. Moving stops mid-trade — Widening your stop-loss after entry turns a 1:2 trade into a 1:1 or worse. This is one of the fastest ways to erode account equity.
  4. Applying one ratio to all setups — A breakout trade and a range-bound mean-reversion trade have different natural R:R profiles. Let market structure dictate the ratio, not a rigid rule.
  5. Confusing planned with realized — Your payoff ratio (actual average win / average loss) is the metric that matters for performance. Planned R:R is a filter; realized R:R is the result.

How JournalPlus Calculates Risk-Reward Ratio

JournalPlus automatically calculates your risk-reward ratio for every trade where stop-loss and take-profit levels are logged, displaying both planned and realized ratios on your analytics dashboard. The performance charts break down your average R:R by setup type, ticker, and time period so you can identify which strategies deliver the best reward relative to risk. You can filter your trade log to surface all trades below a specific R:R threshold, making it easy to audit whether you are consistently taking high-quality setups. The average R-multiple and profit factor metrics work alongside R:R to give you a complete view of your risk-adjusted performance.

Common Mistakes

Setting unrealistic take-profit levels to fabricate a favorable ratio

Ignoring win rate entirely — a 1:3 ratio is useless if you only win 10% of trades

Moving stop-losses further away mid-trade, destroying the original risk-reward calculation

Using the same fixed R:R for every setup regardless of market structure

Confusing planned R:R with realized R:R — only actual results matter for performance analysis

Frequently Asked Questions

What is a good risk-reward ratio for day trading?

Most profitable day traders target a minimum of 1:2, meaning they risk $1 to make $2. This allows profitability with a win rate as low as 34%. Some scalpers accept 1:1.5 but compensate with higher win rates above 60%.

Is a 1:1 risk-reward ratio profitable?

A 1:1 ratio can be profitable, but only if your win rate exceeds 50% after accounting for commissions and slippage. Most traders find it difficult to sustain above 55% accuracy long-term, which is why targeting 1:2 or higher provides a larger margin of safety.

How does risk-reward ratio relate to win rate?

They are inversely related in practice. Higher R:R setups (like 1:3) typically have lower win rates because the price must travel further to hit the target. The key is finding the combination where expected value (win rate x average win minus loss rate x average loss) is positive.

Should I always use the same risk-reward ratio?

No. The ideal ratio depends on the setup, market conditions, and timeframe. A breakout trade might warrant 1:3 because the move can be explosive, while a mean-reversion trade near support might only offer 1:1.5. Adapt to what the chart structure supports.

How do I calculate risk-reward ratio for a short trade?

For short trades, risk is the distance from entry to your stop-loss above, and reward is the distance from entry to your take-profit below. The formula becomes (Stop-Loss - Entry Price) / (Entry Price - Take-Profit).

What is the difference between risk-reward ratio and payoff ratio?

Risk-reward ratio is planned before a trade — it compares your intended stop-loss to your intended target. Payoff ratio (also called average win/loss ratio) is calculated after trades are closed, using your actual average winning trade divided by your actual average losing trade.

Can a low risk-reward ratio strategy still be profitable?

Yes, if the win rate is high enough. A scalping strategy with a 1:0.5 ratio (risking $1 to make $0.50) needs to win more than 67% of trades to break even. Some experienced scalpers achieve 75%+ win rates, making this viable — but it leaves very little room for error.

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