Profit factor is the ratio of the sum of all winning trades to the absolute sum of all losing trades. A value above 1.0 is necessary for profitability; values above 1.5 are considered solid, above 2.0 excellent (but rare in real out-of-sample data).
Profit factor is more informative than win rate because it weights trades by their size. A 30% win-rate trend-follower with big winners can have a 2.0 profit factor; a 75% win-rate mean-reverter with small winners can have a 1.1.
Like all aggregate metrics, profit factor is sensitive to outliers: a single 20R winner can lift the number significantly. Always look at the distribution of trade returns alongside the headline statistic.
Formula
profit_factor = Σ winning_trades$ / |Σ losing_trades$|
Example
Total winning trades sum to 5,000 USDT; total losing trades sum to -2,800 USDT. Profit factor = 5,000 / 2,800 ≈ 1.79.
How Noon Barbari uses Profit factor
Every concept here is implemented in the platform. Open the relevant docs or tool to see it in action.
How we report backtests →Related terms
- Statistics
Expectancy
Average profit (or loss) per trade — the most honest measure of edge.
- Statistics
Win rate
Fraction of trades that closed profitable. On its own, says little about edge.
- Risk
Risk-reward ratio
Ratio of potential gain to potential loss on a trade — also written R-multiple.
- Statistics
Sharpe ratio
Excess return over the risk-free rate per unit of total volatility.