Profit factor in plain English
Gross profits divided by gross losses. Anything hovering near 1.0 is weather, not evidence.
Profit factor is the sum of your winning trades divided by the absolute sum of your losing trades.
Above 1.0, the sample made more than it lost. Below 1.0, it did not. That is the entire definition, and most of the trouble comes from what people do next.
Values near 1.0 mean "we do not know"
A factor of 1.04 across eighty trades can flip below one with two more losers. Treat the band from roughly 0.9 to 1.1 as inconclusive rather than as proof of anything.
The blended 1.04 was hiding one healthy subset and two leaky ones. Illustrative journal data, not a live book and not a performance claim.
State the filter or the number is decoration
Mixing products, brokers and years into one factor produces a figure nobody can act on. The useful version is narrow: this strategy, this product, this financial year, closed trades only.
Keep it off the leaderboard
Ranking people on profit factor without sample size, product mix and cost convention is worse than ranking them on P&L. It belongs on your private year-end card, where the context lives.
Fair reading
- This filtered set made more than it lost
- Useful for comparing two of your own subsets
- Best used with n and a cost convention
- Recomputed each financial year
Overreach
- “My edge is 1.6”
- Comparing your factor to a stranger’s
- Sizing up because the number rose
- Quoting it without the filter behind it
Key takeaways
- Name the exact closed set behind the ratio.
- Treat values near 1.0 as inconclusive.
- Do not merge products without labelling the mix.
Not advice, not a call. NiyataBook is a personal trading journal, not a SEBI-registered investment adviser or research analyst. Everything above looks backwards at trades that already closed. What happened in a book does not promise what happens next, and F&O can take a year’s savings in a week.