How to Analyze Your Trading Journal for Better Results

Your overall stats hide more than they reveal. A flat overall P&L can be a great setup quietly subsidising a terrible one, or a strong morning session bleeding out every afternoon. The first move in analysis is to break the aggregate apart by grouping your trades — by setup, by session, and by day of week — so the variation becomes visible.

Each grouping answers a specific question. Grouping by setup tells you which plays make money and which lose it. Grouping by session tells you when you're sharp and when you should probably stop trading. Grouping by day of week often surprises people — a single recurring bad day, like a Friday-afternoon habit, can drag down an otherwise solid week. The leaks almost always live in a subgroup, not in the average.

The most common analysis mistake is reading one metric in isolation. Win rate alone is meaningless — a 70% win rate that gives it all back on the losers is worse than a 40% win rate with disciplined risk. You have to read win rate and average win-to-loss together, which is exactly what profit factor captures. Our guide on [win rate versus profit factor](/learn/win-rate-vs-profit-factor) walks through why one without the other misleads.

Profit factor is the workhorse metric here — gross profit divided by gross loss, telling you how many dollars you make for every dollar you lose. If you want the full breakdown of how to read it and what counts as healthy, our explainer on [what profit factor is](/learn/what-is-profit-factor) covers it. When you compute profit factor per subgroup — per setup, per session — the analysis snaps into focus: a setup with a profit factor below 1 is losing money no matter how often it wins.

With your trades grouped and your metrics read together, the goal is to identify exactly one leak — the biggest, most fixable source of lost money. The discipline here is restraint: resist the urge to compile a list of ten problems. You can't change ten habits at once, and trying is why most analysis leads to no actual change. Find the one that cost you the most and is within your control.

Usually it jumps out once the groupings are laid out: a setup with deeply negative expectancy you keep trading, a session where you reliably give back the morning's gains, a cluster of losses after a prior loss, or a recurring rule-break. Pick the single largest one. A leak that's outside your control — a market regime, a slippage issue you can't avoid — isn't worth a rule; focus on what you can actually change.

Analysis only matters if it changes behaviour, and behaviour changes through concrete rules. Translate your biggest leak into a single, checkable rule for next month. "Trade better" isn't a rule. "No trades in the lunch session," "maximum two trades after any loss," and "only A-plus setups on news days" are — each specific enough that you can answer yes or no to whether you followed it at your next review.

Then close the loop: at your next analysis, check whether you followed the rule and whether the leak shrank. If it did, the rule becomes a habit and you move to the next biggest leak. If you kept breaking it, that's the real finding, and it stays on the list. This is the engine of improvement — analyse, find the leak, set one rule, check it, repeat. FundedNotes computes the per-setup, per-session, and per-weekday breakdowns automatically so the only work left is the thinking, and you can run your first analysis on the [free trial](/pricing).