# Profit Factor > Profit factor divides gross profits by gross losses to show whether a strategy makes more than it loses. Learn the formula, good values and how it links to win rate. Source: https://learn.tradelabsai.com/portfolio/profit-factor/ Track: Portfolio and Performance · Level: Intermediate · Updated: 2026-10-03 Publisher: TradeLabs AI (https://tradelabsai.com). Education, not financial advice. Cite as: TradeLabs Learn, "Profit Factor", https://learn.tradelabsai.com/portfolio/profit-factor/ Profit factor is one of the simplest and most widely reported trading statistics. It divides the total of all winning trades by the total of all losing trades. A profit factor above 1 means the strategy made more than it lost; below 1 means it lost money overall. Trading platforms and backtesting tools show it prominently because it summarises win rate and payoff ratio in one number. Like any single statistic, it needs context: sample size, costs and the shape of the results all matter. ## The formula ``` Profit factor = Gross profit / Gross loss ``` Gross loss is taken as a positive number. Include commissions and fees in each trade's result. **Example: Calculating profit factor** Over 100 trades, a trader's 45 winners total $12,000 and 55 losers total $8,000. The profit factor is 12,000 divided by 8,000, or 1.5. Net profit is $4,000, or $40 per trade. The average win is about $267 and the average loss about $145, a payoff ratio of about 1.84. Check: profit factor equals win rate times average win divided by loss rate times average loss, so 0.45 times 267 divided by (0.55 times 145) gives about 1.5. See [Win Rate and Payoff Ratio](https://learn.tradelabsai.com/portfolio/win-rate-and-payoff-ratio/). ## Linking profit factor to win rate and payoff ratio ``` Profit factor = (Win rate × Payoff ratio) / (1 - Win rate) ``` | Win rate | Payoff ratio | Profit factor | |---|---|---| | 40% | 2.0 | 1.33 | | 50% | 1.5 | 1.50 | | 60% | 1.0 | 1.50 | | 70% | 0.5 | 1.17 | | 35% | 3.0 | 1.62 | ## What is a good profit factor? | Profit factor | Typical interpretation | |---|---| | Below 1.0 | Losing strategy | | 1.0 to 1.2 | Marginal; costs or slight changes can erase it | | 1.2 to 1.5 | Reasonable | | 1.5 to 2.0 | Good | | 2.0 to 3.0 | Very good, if from a large sample | | Above 3.0 | Rare; check for overfitting, small samples or missing costs | These are rough guides. A high frequency strategy with thousands of trades and a profit factor of 1.2 can be excellent, while a profit factor of 4 over 15 trades proves little. ## Sample size matters With few trades, one big winner can make profit factor look spectacular. Remove the single best trade and recalculate: if the profit factor collapses, the result depends on luck. A common rule of thumb is to want at least 100 trades, preferably across different market conditions, before trusting the figure. See [Statistical Significance in Trading](https://learn.tradelabsai.com/math/statistical-significance/). ## Limitations - **No timing information:** says nothing about drawdowns or how long losses lasted. See [Maximum Drawdown](https://learn.tradelabsai.com/portfolio/maximum-drawdown/). - **No risk scaling:** a profit factor of 1.5 at huge position sizes can still ruin an account. See [Risk of Ruin](https://learn.tradelabsai.com/risk/risk-of-ruin/). - **Sensitive to outliers** in both directions. - **Ignores capital used** and time in the market. ## Using profit factor well 1. **Include all costs** in trade results. See [Transaction Costs](https://learn.tradelabsai.com/orders/transaction-costs/). 2. **Compare in sample and out of sample** profit factors; a large drop suggests overfitting. See [In-Sample vs Out-of-Sample Testing](https://learn.tradelabsai.com/research/out-of-sample-testing/). 3. **Track it over rolling windows** in your journal to spot decay. See [Trading Journal](https://learn.tradelabsai.com/start-here/trading-journal/). 4. **Combine with drawdown, expectancy and Sharpe ratio.** See [Expectancy](https://learn.tradelabsai.com/risk/expectancy/) and [Sharpe Ratio](https://learn.tradelabsai.com/portfolio/sharpe-ratio/). ## Profit factor by market condition A single overall profit factor can hide very different behaviour in different conditions. Split your trades by market regime, such as trending versus ranging, high versus low volatility, or by instrument and time of day, and compute the profit factor for each group. A strategy with an overall profit factor of 1.4 might show 2.0 in trending markets and 0.8 in ranges, which suggests a filter that avoids ranges. See [Structural Breaks and Regime Changes](https://learn.tradelabsai.com/math/regime-changes/). ## Frequently asked questions ### What is profit factor in trading? Gross profit from winning trades divided by gross loss from losing trades; above 1 means the strategy made money overall. ### What is a good profit factor? Generally 1.5 or higher from a large sample of trades after costs; very high values from few trades should be treated with caution. ### How is profit factor related to win rate? Profit factor equals win rate times payoff ratio divided by the loss rate, so the same profit factor can come from many combinations. Next, learn the measure of the worst loss in [Maximum Drawdown](https://learn.tradelabsai.com/portfolio/maximum-drawdown/). ## Continue learning - Next lesson: [Maximum Drawdown](https://learn.tradelabsai.com/portfolio/maximum-drawdown/) - Previous lesson: [Win Rate and Payoff Ratio](https://learn.tradelabsai.com/portfolio/win-rate-and-payoff-ratio/) - Related: [Win Rate and Payoff Ratio](https://learn.tradelabsai.com/portfolio/win-rate-and-payoff-ratio/): Win rate and payoff ratio together decide whether a strategy makes money. Learn how to calculate both, the breakeven formula and why high win rates can mislead. - Related: [Expectancy](https://learn.tradelabsai.com/risk/expectancy/): Expectancy is the average amount you win or lose per trade. Learn the formula, how win rate and payoff combine, expectancy in R and how to improve it. - Related: [Omega Ratio](https://learn.tradelabsai.com/portfolio/omega-ratio/): The Omega ratio compares the total of returns above a threshold with the total below it, using the whole return distribution. Learn the formula and how to read it. - Related: [Trading Journal](https://learn.tradelabsai.com/start-here/trading-journal/): A trading journal records every trade so you can find what works and what keeps costing you. Learn what to log, a template and how to review it. - Related: [Post-Trade Analysis](https://learn.tradelabsai.com/start-here/post-trade-analysis/): Post-trade analysis turns every trade into a lesson. Learn how to grade decisions separately from results, find repeat mistakes and improve your plan.