Glossary

Expectancy

Also known as: expected value per trade, EV per trade

Expectancy is the average dollar amount a trader expects to win or lose per trade across a large sample, computed as (win rate × average win) minus (loss rate × average loss).

Expectancy is the single most useful summary metric for any trading strategy because it captures both directions of the win-rate / win-size trade-off in one number. A strategy that wins 70 percent of the time but loses more on average than it wins per trade can still be unprofitable; a strategy that wins 30 percent of the time but wins three times more on average than it loses can be very profitable.

The formula is simple. If a strategy wins 40 percent of the time, with an average win of $300 and an average loss of $150, expectancy is (0.40 × $300) - (0.60 × $150) = $120 - $90 = $30 per trade. Multiply by the trade count over a window to estimate total P&L. Negative expectancy with any trade volume produces account erosion no matter how interesting the strategy looks.

Expectancy is also the right unit for comparing strategies. A scalping system with $5 expectancy and 200 trades a month outproduces a swing system with $80 expectancy and 5 trades a month. It compares apples to apples in a way that win rate, R-multiple, or profit factor each individually cannot.

What it looks like in your data

Computed directly from trade history. A consistently positive expectancy across a large sample (>100 trades) is the minimum bar for a defensible discretionary strategy.

Where Gecko surfaces it

Surfaced on the dashboard as part of the Key Metrics widget and broken down per instrument on the Patterns page.

See expectancy in your own trades

Upload a broker statement and Gecko names this pattern in your data, in dollars, alongside 11 other behavioral axes. First 100 trades free.

Read my trades free