Profit Factor
Total rupees won divided by total rupees lost. Above 1.0 means profitable. Above 1.5 means healthy. Above 2.0 means excellent.
Profit factor is the simplest one-number health check for a trading system. Take every winning trade and add up the rupees won. Take every losing trade and add up the rupees lost. Divide the first by the second. That ratio is your profit factor.
A profit factor of 1.0 is breakeven - your winners exactly cover your losers. Above 1.5 is a healthy system. Above 2.0 is excellent. Below 1.0means you’re losing money, no matter what your win rate looks like.
Worked example - 10 recent trades
- Winning trades
- 6
- Total rupees won
- ₹9,975
- Losing trades
- 4
- Total rupees lost
- ₹3,710
- ₹9,975 ÷ ₹3,710
- 2.69
Profit factor
2.69
Every ₹1 lost to losing trades was returned with ₹2.69 from winning trades. Net P&L: +₹6,265.
How profit factor and win rate disagree
A 75% win rate with a profit factor of 0.9 means most trades are winners but the few losses wipe out the gains - classic “cut winners short, let losers run” behavior. A 40% win rate with a profit factor of 2.0 means most trades fail, but the winners are 3× bigger than the losers - classic trend-following. Both stats describe the same trader very differently. Profit factor is the one that determines whether you make money.
Watch the sample size
Profit factor over 10 trades is mostly noise. A single fluke winner can push it past 3.0, and a single ugly loss can sink it below 1.0. Look at profit factor over at least 30 trades before drawing conclusions - and ideally a full market cycle, since some strategies print money in trending markets and bleed in ranges (or vice versa).
Pair it with average R
Profit factor tells you the ratio. Average R per trade tells you the rate. A system with profit factor 2.0 but only 30 trades a year compounds slower than one with profit factor 1.5 and 200 trades a year. Both matter - and both need a journal to compute.
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