Expectancy in gold trading
Expectancy is the average amount a trading method wins or loses per trade over many trades, combining win rate with average win and average loss.
Also called Expected value per trade, Edge
Expectancy is the average result per trade, calculated as (win rate × average win) − (loss rate × average loss). Expressed in R it becomes the average R multiple across all trades. A positive expectancy means the method makes money over a large sample; a negative one means it loses, however exciting individual wins may be. It is the single number that summarizes whether a strategy has an edge.
How it applies to gold trading
Take a gold method with a 45% win rate, an average winner of +2.0R and an average loser of −1.0R. Expectancy is (0.45 × 2.0) − (0.55 × 1.0) = 0.90 − 0.55 = +0.35R per trade. Risking $100 per trade, the trader expects about $35 per trade over time, which across 20 trades a month is roughly $700, minus costs. Change the win rate to 30% and expectancy becomes (0.30 × 2.0) − (0.70 × 1.0) = −0.10R: a losing method.
Expectancy only becomes reliable with a large sample, typically dozens of trades at minimum, which is why a trading journal matters. It also varies by regime; a method’s expectancy in a trending gold market may differ from a ranging one.
A common mistake
Judging a strategy on its win rate alone. A 90% win rate with small wins and large losses can have negative expectancy, and a 35% win rate can be strongly positive.
See also: Win rate, R multiple, Trading journal, Backtest.
Frequently asked questions
How many trades do I need to measure expectancy?
Enough that a few lucky or unlucky trades do not dominate the average. Many traders treat 30 trades as a bare minimum and 100 or more as a meaningful sample.
Can expectancy be positive and the account still lose money?
Yes, in the short term. Positive expectancy describes the long-run average; losing streaks still happen, and risk per trade must be small enough to survive them.