In this article
This material is for information only and does not constitute investment advice.
A high win rate feels reassuring in a report, but it does not describe trading quality on its own. A strategy can win nine trades out of ten and still lose money when the rare loss overwhelms a series of small gains.
Why the percentage of winners misleads
Imagine nine trades earn 100 each and the tenth loses 1,500. The win rate is 90%, while the series finishes 600 down before costs. The reverse is possible too: a trend system can be wrong often while a few large moves pay for many small stops.
Expectancy connects the pieces
Multiply the probability of a win by the average gain, then subtract the probability of a loss multiplied by the average loss. This is not a forecast for the next trade; it is a property of a long series and depends on sample stability and execution quality.
Calculate average gain and average loss separately.
Include fees, financing, and realistic slippage.
Check the result by instrument and market regime.
Inspect the median because a few large trades can distort the average.
A working dashboard instead of one number
A compact set is enough: win rate, average gain, average loss, expectancy, profit factor, and the longest losing streak. Together they explain how a strategy earns and the pressure it creates.
Do not maximize win rate. Look for positive expectancy that survives costs without requiring a level of risk your capital cannot support.
See these metrics
in a working interface.
The demo dashboard shows how TradeStat connects performance, risk, and trade history.
Open dashboard