Trading term
What is Profit factor?
Profit factor is the gross profit of a set of trades divided by their gross loss, so above 1.0 the strategy made money overall. A reading of 1.33 means every dollar lost was matched by $1.33 earned.
Add up everything the winning trades made, add up everything the losing trades cost, and divide. The result is a single ratio describing how much the system earned per unit of loss it absorbed. A profit factor of exactly 1.0 is breakeven before costs; below that the strategy loses money.
What makes it useful is that it captures the whole record at once rather than an average, so it reflects the actual mix of outcomes. Roughly, 1.0–1.25 is marginal, 1.25–1.6 is workable, and consistently above 2.0 on a large sample is excellent — and also worth double-checking for a data or backtest error.
The caveat is that it is scale-free in a way that can hide danger. Profit factor says nothing about the path taken, so two systems with identical ratios can have completely different drawdowns. It should always be read alongside a drawdown figure.
80R of gross profit divided by 60R of gross loss gives 1.33 — $1.33 earned for every $1 lost, which lands in the workable band.
For example
A hundred trades produce 40 winners averaging +2R and 60 losers averaging −1R. Gross profit is 80R, gross loss is 60R, so the profit factor is 80 ÷ 60 = 1.33 — a modest but genuinely profitable edge.
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Explore Premium →Why it matters to you
Profit factor is the fastest sanity check on a track record. One number tells you whether an edge exists at all, and it is directly comparable between strategies, instruments and timeframes — which makes it the standard first filter when deciding whether a system is worth deeper analysis.
⚠ One outlier can manufacture a great ratio
A single enormous winner can lift a mediocre profit factor above 2.0 and make a system look robust when it isn't. Check what the figure becomes with the best trade removed. A ratio that collapses when you drop one result is not describing a repeatable edge — and the same is true of a small sample.