Profit Factor Calculator
Parameters
Want real reference points? Browse 75K+ backtested strategies and compare their profit factors by type and timeframe
Results
Where You Sit on the Curve
Benchmark Against Real Backtested Strategies
Your profit factor of 1.83 is in the top 20% of 28,966 profitable, non-repainting backtested strategies on TradeSearcher.
By horizon: Intraday top 8.3% of 9,037; Swing top 18% of 15,384; Long Term top 52% of 4,541.
The reference set is TradeSearcher's profitable, non-repainting backtests (each strategy has a profit factor above 1, more than 15 trades, and passes repaint checks) — not the full population of every strategy ever tested. Percentiles are the share of that set at or above your profit factor.
The Profit Factor Formula
Profit factor is the ratio of everything a strategy made on its winning trades to everything it gave back on its losing trades, over the same sample:
PF = gross profit / gross loss
A strategy that made $12,000 on winners and lost $8,000 on losers has PF = 12,000 / 8,000 = 1.50 — it earned $1.50 for every $1 it lost. PF above 1 is profitable, exactly 1 is break-even, below 1 is losing. Because it uses the full dollar totals, profit factor captures what win rate alone hides: a strategy winning 70% of the time still loses money if the average loser dwarfs the average winner.
Profit Factor from Win Rate and Risk/Reward
If your average win is R times your average loss (the risk/reward ratio) and W is your win rate, profit factor collapses to a two-variable formula:
PF = (W · R) / (1 − W)
Setting PF = 1 recovers the classic break-even win rate W = 1 / (1 + R): a 1:1 strategy breaks even at 50%, a 2:1 strategy at 33.3%. The chart above plots this curve for your R:R and marks your position — the horizontal distance between your point and the break-even line is your margin of safety in win-rate terms. Note that both inputs must come from a large enough sample to be stable; profit factor computed on 20 trades says very little, which is why the strategy metrics tool evaluates it alongside sample size and other statistics.
Profit Factor vs Expectancy
Profit factor and expectancy answer different questions from the same inputs. Expectancy is the average dollar result of one trade, E = W·avgWin − (1−W)·avgLoss, and the two are linked exactly:
E = (1 − W) · avgLoss · (PF − 1)
So PF tells you the quality of the edge (how efficiently the strategy converts losses into profits) while expectancy tells you its magnitude per trade — you need both, plus trade frequency, to project returns. Dig deeper with the expectancy calculator, project full sequences with the trading profit calculator, and remember that even a strong PF comes with streaks — the losing streak calculator shows how rough the road to that average can get.