Introduction
risk reward ratio
“Part of the [Forex Risk Management Hub]”.
Most beginner traders believe that winning more trades is the key to profitability.
It isn’t.
Profitability in forex depends on the relationship between risk, reward, and win rate — not just how often you win.
Understanding risk-reward ratio correctly can mean the difference between slow account growth and inevitable account destruction.
This guide explains the math behind it and how it connects to proper risk management.
What Is Risk Reward Ratio?
Risk-reward ratio compares:
- The amount you are willing to lose (risk)
- The amount you aim to gain (reward)
- riskes per trade
Example:
- Risk = 50 pips
- Target = 100 pips
Risk-reward ratio = 1:2
This means you are risking 1 unit to potentially gain 2.
But this number alone does not determine profitability.
Why Risk Reward Ratio Alone Is Misleading
Many websites say:
“Always aim for 1:2 or 1:3.”
That is incomplete advice.
A 1:3 ratio with a 20% win rate will still lose money.
This is where expectancy matters.
The Expectancy Formula (The Real Profit Formula)
Expectancy determines whether your system makes money over time.
Formula:
Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)
Let’s compare scenarios.
Example 1: 50% Win Rate risk reward ratio
Win Rate = 50%
Risk = $100
Reward = $100
Expectancy:
(0.5 × 100) − (0.5 × 100) = 0
You break even before spreads and commissions.
Example 2: 40% Win Rate with 1:2 Risk-Reward
Win Rate = 40%
Risk = $100
Reward = $200
Expectancy:
(0.4 × 200) − (0.6 × 100)
= 80 − 60
= +20
Positive expectancy.
Even though you lose more trades than you win.
Example 3: 30% Win Rate with 1:3 risk reward ratio
Win Rate = 30%
Risk = $100
Reward = $300
Expectancy:
(0.3 × 300) − (0.7 × 100)
= 90 − 70
= +20
Still profitable.
But psychologically much harder to trade.
Risk-Reward and Small Account Survival
For small accounts, risk-reward becomes even more important.
Why?
Because large drawdowns require exponential recovery.
If you lose 30%, you must gain 43% just to break even.
A strong risk-reward ratio reduces the number of winning trades required to recover losses.
This directly connects to drawdown math and risk-of-ruin probabilities.
The Hidden Problem with High Risk-Reward Ratios
High ratios (1:4, 1:5, etc.) look attractive.
But they come with:
- Lower win rates
- Longer trade duration
- Psychological pressure
- Increased temptation to move stops
Many traders fail not because of poor math — but because they cannot emotionally tolerate losing streaks.
This is why risk-reward must match personality and strategy.
How Connects to risk reward ratio Position Sizing
Risk-reward ratio does not determine how much you risk.
Position sizing determines that.
If you risk 2% per trade:
- A 1:2 setup means you aim for 4% return
- A 1:3 setup means you aim for 6%
But if your stop is too wide, your lot size must shrink.
Risk-reward, stop placement, and position sizing must work together.
risk reward ratio Which Is More Important?
Neither.
They are mathematically linked.
Here is a simplified guide:
| Win Rate | Minimum RR Needed |
|---|---|
| 30% | 1:3 |
| 40% | 1:2 |
| 50% | 1:1 |
| 60% | 1:0.8 |
| 70% | 1:0.5 |
This shows:
High win rate systems can survive with smaller targets.
Low win rate systems require larger targets.
The Professional risk reward ratio
Professional traders do not obsess over high ratios.
They focus on:
- Consistent execution
- Controlled risk per trade
- Positive expectancy over hundreds of trades
Risk-reward is a tool — not a guarantee.
Common risk reward ratio
- Forcing unrealistic targets
- Moving stop losses to improve ratio artificially
- Ignoring market structure
- Ignoring volatility
- Focusing on ratio instead of expectancy
Final Thoughts on risk reward ratio
Risk-reward ratio is powerful.
But only when combined with:
- Proper risk per trade limits
- Intelligent stop placement
- Disciplined position sizing
- Emotional control
Without those, the ratio becomes a misleading number.
True risk management is mathematical discipline over time — not chasing large targets.