Who this is for — Anyone who wants to know whether winners are large enough to offset losses, even with a modest win rate.
The payoff ratio is the ratio between average-win and average-loss. It measures the economic quality of trades, not how often they succeed.
In plain terms — It tells you how much you earn when you are right compared with how much you lose when you are wrong.
Bronze prerequisite — Before this lesson: drawdown, risk-per-trade, risk-reward-ratio, r-multiple. See bronze-path.
How to use it in decisions
Payoff ratio and win rate always go together:
- High payoff can support a medium-low win rate.
- Low payoff requires a very high win rate.
- Unstable payoff signals incoherent position management.
Monitor it in R-multiples to compare different setups on a common unit.
Example — Method A: payoff 2.2 and win rate 42%. Method B: payoff 0.9 and win rate 65%. Method A can have better expectancy despite fewer winning trades.
Frequent mistakes
- Calculating payoff on gross data, not net.
- Ignoring partial exits in the average of winners.
- Comparing payoff across setups with completely different stops.
- Not linking it to real dynamic-risk-reward.
Card
- What it is: ratio of average win to average loss.
- Why it matters: explains the economic quality of signals.
- Correct pairing: always with win rate and expectancy.
Silver path — Module: Operational metrics. Part of silver-path.