If you can only track one performance number, track profit factor. It's the closest thing trading has to a single honest summary of whether a system makes money — because, unlike win rate, it folds in both how often you win and how much you win or lose when you do.
Here's what profit factor measures, what counts as "good" by trading style, and the three ways the number can quietly mislead you.
What profit factor is
Profit factor (PF) is simply your gross profit divided by your gross loss over a set of trades:
Profit Factor = Gross Profit ÷ Gross Loss
If your winners totalled $9,050 and your losers totalled $5,000, your profit factor is 1.81 — for every dollar lost, the system returned $1.81. The interpretation is direct:
- Below 1.0 — the system loses money.
- Exactly 1.0 — break-even, before costs.
- Above 1.0 — profitable, by the margin above one.
Because it's a ratio of money won to money lost, PF captures something win rate never can: the size of the trades, not just the count.
How profit factor connects to win rate and risk/reward
PF isn't a separate idea from win rate and risk/reward — it's those two combined. With win rate W and a reward-to-risk ratio R (average win ÷ average loss):
Profit Factor = (W ÷ (1 − W)) × R
This is why a high win rate alone proves nothing. Take a contrarian scalping profile with an 88% win rate and a profit factor of 1.81. Rearranging the formula, the implied reward-to-risk ratio is only about 0.25:1 — the average win is roughly a quarter of the average loss. That's the honest shape of a high-win-rate system: many small wins, the occasional larger loss. The win rate looks spectacular; the payoff ratio is modest; profit factor is the number that reconciles the two. For the full treatment of that tension, see Win Rate vs Risk/Reward.
What's a good profit factor for scalping?
There's no universal threshold — context decides — but useful reference bands:
- Below 1.0 — losing. Stop and diagnose.
- 1.0–1.3 — marginal. Often turns negative once real commissions and slippage are subtracted, which hits scalpers hardest because they trade often.
- 1.3–1.6 — a solid, realistic edge for active intraday and scalping systems. Sustainable PF here, net of costs, is genuinely good.
- 1.6–2.0 — strong.
- Above 2.0 — excellent, and worth scrutinizing. On a large, cost-adjusted sample it's impressive; on a small or curve-fitted one it's usually a mirage.
Style matters. Scalpers trade frequently and pay costs on every round trip, so their net PF compresses toward the lower bands — a steady 1.4 across thousands of trades is a real business. Swing systems trade less and can post higher PF on far fewer trades, where the number is more fragile.
Three ways profit factor lies
1. Small samples. A 1.9 PF over 30 trades tells you little; the same figure over 3,000 trades means a lot. Always ask how many trades produced the number.
2. One giant winner. PF is a sum-based ratio, so a single outsized win can lift it dramatically while the typical trade is unremarkable. Check the distribution — if removing the best trade collapses the PF, the edge isn't broad-based.
3. Gross, not net. A backtest PF computed before commissions and slippage flatters every system, and the gap is widest for high-frequency styles. The only PF worth trusting is the one measured net of real costs.
A profit factor is only as honest as the sample, the distribution, and the cost assumptions behind it.
How TradeScorer reports it
The Forge stats reflect a profit factor of 1.81 over a 234-signal, 30-day window — informative, but one window and one calibration. Across thousands of trades the realistic expectation is a profit factor of 1.4–1.6, which sits squarely in the "solid tradeable edge" band above. Forge Pro computes profit factor on your own chart, broken down by grade, session, and signal type — so you measure your real, cost-aware number rather than trusting a headline figure.
FAQ
What is a good profit factor? For active intraday and scalping systems, 1.3–1.6 net of costs is a solid, realistic edge. Above 2.0 is strong but should be checked for sample size and outliers. Below 1.0 loses money.
Is profit factor better than win rate? It's more complete — it combines how often you win and how big wins are versus losses into one number. Read it net of costs and over a large enough sample.
Measure your real profit factor
A backtest figure is a hypothesis; your live, cost-adjusted profit factor is the truth. Forge confirms every signal at candle close and, on the Pro tier, tracks profit factor and win/loss stats directly on your chart.
Related TradeScorer tool: Forge.
TradeScorer products are technical analysis tools, not investment advice. Trading futures involves substantial risk of loss. Past performance is not indicative of future results. Read the full risk disclosure before use.