Expectancy
A positive expectancy means your system makes money over time.
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The Formula
Expectancy = (Win Rate × Avg Win) - (Loss Rate × Avg Loss) Multiply your win rate by your average winning trade amount, then subtract the product of your loss rate and average losing trade amount. The result is how much you expect to make per trade on average.
Benchmark Ranges
| Level | Range | What It Means |
|---|---|---|
| Poor | Negative | Losing system — you lose money on average per trade |
| Average | 0.1R - 0.3R | Marginally profitable, thin margin for error |
| Good | 0.3R - 0.5R | Solid edge with room for slippage and commissions |
| Excellent | Above 0.5R | Strong system; consistent profitability expected |
How to Track
Record the exact dollar profit or loss for every trade you take.
Calculate your win rate and average win/loss amounts over at least 50 trades.
Apply the expectancy formula to determine your per-trade edge.
Use R-multiples (risk units) instead of dollar amounts for a strategy-independent view.
How to Improve
Increase your win rate by being more selective about trade setups.
Increase your average win by holding winners longer or using trailing stops.
Decrease your average loss by using tighter stop losses on lower-quality setups.
Why Expectancy Is the Most Important Metric
Expectancy answers the most fundamental question in trading: does your system make money? Not just right now, but over a large number of trades. It combines win rate, average win, and average loss into a single number that represents your edge per trade.
If your expectancy is positive and you have enough trading opportunities, profitability is mathematically inevitable over a sufficient sample size. If it is negative, no amount of position sizing or risk management can save you.
Understanding R-Multiples
The most useful way to express expectancy is in R-multiples, where R equals your initial risk per trade. If you risk $100 per trade and your expectancy is 0.35R, you expect to make $35 per trade on average.
This approach normalizes across different position sizes and account values, making it easier to compare strategies and track changes over time.
A Real Example
Consider a trader with these stats over 100 trades:
- Win rate: 45%
- Average win: $300
- Average loss: $200
Expectancy = (0.45 × $300) - (0.55 × $200) = $135 - $110 = $25 per trade
Over 100 trades, this trader expects to make $2,500. This is a solid, if modest, edge. The key insight is that this trader loses more often than they win, but their winners are large enough to overcome the losses.
The Importance of Sample Size
Expectancy is a statistical measure. It becomes reliable only with sufficient data. With 10 trades, your calculated expectancy is essentially meaningless — random variance dominates. With 50 trades, you start to see your true edge. With 200+ trades, you can be confident in the number.
This is why journaling every trade is so critical. Without complete data, you cannot calculate accurate expectancy, and without accurate expectancy, you cannot objectively evaluate your trading system.
When Expectancy Changes
Watch for shifts in your rolling expectancy (calculated over the most recent 50-100 trades). A declining expectancy often signals one of three things:
- Market conditions have changed and your strategy needs adapting
- You are deviating from your trading plan
- Emotional factors are affecting your execution
JournalPlus tracks your rolling expectancy automatically and alerts you to significant changes, helping you catch problems before they become costly.
Common Mistakes
Calculating expectancy over too few trades (under 30), which produces unreliable results.
Confusing positive expectancy with guaranteed profits — short-term losses are still possible.
Ignoring trading costs that can turn a thin positive expectancy into a negative one.
Frequently Asked Questions
What is a good expectancy in trading?
A good expectancy is any value above 0.3R per trade, meaning you earn 0.3 times your risk unit on average. Above 0.5R is excellent. Even 0.1R is profitable at scale.
Can expectancy change over time?
Yes. Market conditions, strategy drift, and emotional state all affect expectancy. Track it monthly to spot trends early.
How is expectancy different from profit factor?
Expectancy gives you a dollar (or R-multiple) amount per trade, while profit factor is a ratio of gross profits to gross losses. Both measure profitability but expectancy is more intuitive for position sizing.
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