Trading Expectancy Formula
Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)
Static example: a 55% win rate with a $250 average win and $150 average loss creates (0.55 x 250) - (0.45 x 150), or +$70 per trade before fees.
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Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)
Static example: a 55% win rate with a $250 average win and $150 average loss creates (0.55 x 250) - (0.45 x 150), or +$70 per trade before fees.
Average Loss / (Average Win + Average Loss)
With a $250 average win and $150 average loss, break-even win rate is 150 / 400 = 37.5%. This is the approximate win rate required for zero expectancy before fees, commissions and slippage.
A strategy can have positive expectancy and still experience losing streaks. A small number of trades may produce misleading results, especially in fast futures markets.
High win rate does not automatically mean positive trading expectancy. Hypothetical example: 80% winners, $50 average win and $300 average loss equals 40 - 60, or -$20 per trade.
A low win-rate strategy can still have positive expectancy when average winners are sufficiently larger than average losers. Hypothetical example: 40% winners, $400 average win and $150 average loss equals +$70 per trade.
Expectancy tells you what your trading looks like overall. Import your completed Topstep or Tradovate trades and let TradePilot analyze historical patterns across losses, sessions, instruments and trading behavior.
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Trading expectancy is the average expected value per trade based on win rate, average win and average loss.
No. Expectancy describes a statistical average based on the inputs provided and does not guarantee future profitability.