What Is Expectancy in Trading?
Expectancy is the average amount a strategy makes or loses per trade once you run it many times. It rolls your win rate and your risk-reward into a single number, so instead of juggling two stats you get one answer: does this strategy come out ahead per trade or not. The simple version is (win rate times average win) minus (loss rate times average loss). If that number is positive, the strategy makes money on average over a large sample. If it's negative, it bleeds money no matter how good any single trade looked. Expectancy doesn't tell you what happens on the next trade, and it swings a lot over short runs. It only becomes meaningful once you have enough trades for the average to settle down.
How expectancy measures average profit or loss per trade and why it is a more complete metric than win rate alone.
Key points
- Expectancy answers one question: on average, does each trade add money or lose money.
- The formula is (win rate x average win) minus (loss rate x average loss).
- Positive expectancy means the edge is real over many trades, and negative means the strategy loses even if some trades win big.
- Expectancy is often shown as dollars per trade or as a multiple of the amount you risked, called R.
- A small positive expectancy still adds up over hundreds of trades, the way a casino's small edge builds over many hands.
- Expectancy is meaningless on a handful of trades, since one lucky or unlucky result swings the average hugely.
Frequently asked questions
How do you calculate expectancy in trading?
Multiply your win rate by your average winning trade, then subtract your loss rate multiplied by your average losing trade. For example, winning 40% of the time with an average $300 win and losing 60% with an average $100 loss gives (0.40 x 300) minus (0.60 x 100), which is $60 expected per trade.
What is a good expectancy value?
Any positive number means the strategy makes money on average, so the first goal is simply getting above zero after costs. Traders often express it in R, where a 0.2R expectancy means you make one fifth of your risk per trade on average. Bigger is better, but consistency over many trades matters more than a large number from a small sample.
What's the difference between expectancy and win rate?
Win rate only tells you how often you win. Expectancy folds in how much you win and lose, so it tells you whether winning that often is actually enough. A high win rate with a negative expectancy still loses money.
Can expectancy be negative even with more winners than losers?
Yes. If your losses are much larger than your wins, the losing trades can outweigh the frequent small wins. That's why expectancy matters more than the raw count of wins and losses.
Where can I check the expectancy of my strategy?
When the AlgoAgent runs a backtest, it reports expectancy per trade alongside win rate and average win and loss, so you can see the single number that ties them together instead of working the formula by hand.
Related on Agenticks
This content is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of capital.