What it means
Win rate is the fraction of trades that close profitable; payoff is the ratio of average win to average loss. The two are inversely related: high win-rate strategies (>60%) typically have small wins and small losses (low payoff); low win-rate strategies (<40%) typically have large wins and small losses (high payoff). Expectancy = (win_rate × avg_win) - (loss_rate × avg_loss) — same expectancy can be achieved from very different win-rate/payoff combinations.
Why it matters
Match the strategy type to your psychology. High-win-rate strategies feel good (lots of wins) but require small losses to stay positive. Low-win-rate strategies feel hard (lots of losses) but the occasional big win drives profitability. Trying to force a low-win-rate strategy into high-win-rate psychology (cutting wins early to lock in profit) destroys the edge.
How to use it
Identify your strategy's natural win-rate/payoff profile from a backtest or 50-trade sample. Don't fight it. Trend-following: typically 35-45% win rate with 2-4× payoff. Mean reversion: 60-70% win rate with 0.6-1× payoff. Scalping: 55-65% win rate with 1× payoff. Each has different optimal exits; force-fitting destroys returns.
Want a worked example or a deeper dive? Ask Rocky how this concept applies to your specific watchlist or trade idea.
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