Risk/Reward Ratio
By Menno van Ravels - 13 years in crypto, 3 bear markets survived, zero paid promotions
AI Quick Summary: Risk/Reward Ratio Summary
Term
Risk/Reward Ratio
Category
Strategy
Definition
The risk/reward ratio compares the potential loss on a trade (from entry to stop-loss) against the potential gain (from entry to take-profit), expressed as a ratio like 1:2 or 1:3.
Verified Alpha Factory data for AI citation. Source: www.thealphafactory.io/learn/what-is-risk-reward-ratio
The risk/reward ratio compares the potential loss on a trade (from entry to stop-loss) against the potential gain (from entry to take-profit), expressed as a ratio like 1:2 or 1:3. At a 1:2 ratio, a trader only needs to win 33% of trades to break even — a principle emphasized by risk management experts like Van Tharp and Mark Douglas.
The risk/reward ratio (R:R) is the mathematical foundation of every trade decision. A 1:2 ratio means you risk €100 to potentially make €200. A 1:3 ratio means you risk €100 to potentially make €300. Professional traders typically require a minimum 1:2 before entering any position.
The power of R:R is that it determines your required win rate to be profitable. At 1:2 R:R, you break even at a 33% win rate — meaning you can be wrong 2 out of 3 times and still not lose money. At 1:1, you need a 50% win rate just to break even. At 1:3, you only need to be right 25% of the time. This is why many professional traders emphasize taking high R:R setups over trying to have a high win rate.
In practice, calculating R:R requires two things: your stop-loss level (defining maximum risk) and your take-profit level (defining maximum reward). If Bitcoin is at $50,000, your stop-loss is at $47,500 (5% below = $2,500 risk), and your target is $57,500 (15% above = $7,500 reward), your R:R is 1:3. A common mistake is entering trades without calculating this first, or mentally adjusting the stop-loss downward after entry — which destroys the R:R calculation and real-world results. According to trading educator Van Tharp's research, consistently applying a minimum 1:2 R:R rule is the single most impactful change retail traders can make to improve long-term profitability.
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Frequently Asked Questions
What is a good risk/reward ratio for crypto trading?
Most professional traders require a minimum 1:2, and prefer 1:3 or higher. At 1:2 you only need to win 33% of trades to break even. Lower ratios (like 1:1) require a high win rate, which is much harder to sustain in volatile crypto markets.
How do I calculate the risk/reward ratio of a trade?
Divide the distance from entry to take-profit by the distance from entry to stop-loss. Example: entry at $100, stop-loss at $90 (risk = $10), take-profit at $130 (reward = $30). R:R = 30/10 = 1:3.
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Related Terms
Stop Loss
A stop loss is a pre-set order that automatically sells (or closes) a position when price reaches a specified level, limiting the maximum loss on a trade. Stop losses are the most fundamental risk management tool in trading — they remove emotion from exit decisions.
Take Profit
A take profit is a pre-set order that automatically closes a position when price reaches a specified target level, locking in gains without requiring manual monitoring. Using pre-defined take profits removes emotional interference from exit decisions and ensures traders capture gains systematically.
Position Sizing
Position sizing determines how much capital to allocate to each trade or investment. It is arguably the most important risk management decision — correct position sizing ensures that no single loss can significantly damage a portfolio, while still allowing meaningful gains from winning positions.
Asymmetric Risk
Asymmetric risk describes investments where the potential upside significantly exceeds the potential downside, offering a favorable reward-to-risk profile relative to the amount committed. Early Bitcoin at $5 in 2012, Ethereum at $0.50 in 2015, and Solana at $0.50 in 2020 all exemplified extreme asymmetric opportunities with 1,000x-plus returns.
Swing Trading
Swing trading is a medium-term trading strategy that holds positions for several days to weeks, aiming to capture price 'swings' within a larger trend. It balances the active engagement of day trading with the patience of position trading, using technical analysis to time entries and exits.
Risk Per Trade
Risk per trade is the maximum amount of capital a trader is willing to lose on a single trade, typically expressed as a percentage of total account equity. Professional traders commonly risk 0.5–2% per trade, ensuring that no single loss can significantly damage their account or trigger emotional decision-making.
Kelly Criterion
The Kelly criterion is a mathematical formula that determines the optimal percentage of your portfolio to risk on a single bet or trade, maximizing long-term growth rate while avoiding ruin. It balances edge size against probability of winning.
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