Most traders track one number: P&L. But P&L can't tell you whether your results come from skill or luck, whether your edge is growing or eroding, or which part of your trading is quietly bleeding money. Five metrics can. Here's what each one measures, how to calculate it, and what to do when the number looks wrong.
P&L is the number everyone stares at, and it's the least useful one in your journal. A green month can hide a broken process — one oversized lucky trade papering over twenty undisciplined ones. A red month can hide a healthy process — good entries, controlled risk, and a normal losing streak that any strategy will eventually produce.
P&L tells you what happened. It says nothing about whether it's repeatable. That's the entire job of the metrics below: separating the quality of your decisions from the noise of individual outcomes.
Win rate is the percentage of your trades that close profitable. It's the metric beginners obsess over and the one most easily misread.
On its own, win rate tells you almost nothing. A trader who wins 70% of the time can steadily lose money if the losers are three times the size of the winners. A trader who wins 35% of the time can do well if the winners run far past the losers. Neither number is "good" or "bad" until you pair it with the size of the average win and the average loss.
What win rate is good for: consistency checks. If your win rate on a specific setup suddenly drops well below its history, something changed — the market regime, your execution, or your patience. That's a prompt to investigate, not a verdict.
An R-multiple expresses each trade's result as a multiple of the risk you took on it. Risk $200 on a trade and make $400? That's +2R. Risk $200 and lose $200? That's −1R. Risk $200 and lose $350 because you moved your stop? That's −1.75R, and it should sting when you see it in the journal.
R-multiples solve the problem that dollar results can't: they make trades comparable. A $500 win on a large position and a $50 win on a small one might be the exact same quality of trade. In R terms, you can see that instantly. They also expose your most expensive habit — losses bigger than −1R, which only happen when you fail to honor your stop.
We wrote a full guide on this: R-multiple explained. If you only adopt one metric from this article, make it this one — the next two are built on top of it.
Expectancy is what your average trade returns, accounting for both how often you win and how much you win or lose when you do:
Expectancy = (Win rate × Average win) − (Loss rate × Average loss)
A hypothetical example, in R terms. Say your last 50 trades show a 40% win rate, an average winner of +2R, and an average loser of −1R. Expectancy = (0.40 × 2R) − (0.60 × 1R) = +0.2R per trade. In that sample, every trade you took was worth about a fifth of your risk unit on average — including all the losers.
A positive expectancy over a meaningful sample means your process produced more than it gave back. A negative expectancy means that no matter how good the winning days feel, the math is working against you — and more trading just runs the math faster.
Expectancy is also the honest way to evaluate rule changes. Cut your afternoon trades, tighten your stop criteria, or drop a weak setup, and watch what the expectancy does over the next batch of trades. It answers the question win rate can't: did that change actually make my trading better?
Profit factor is gross profits divided by gross losses. If your winners total $6,000 and your losers total $4,000 over a period, your profit factor is 1.5.
A profit factor above 1.0 means your winners collectively outweighed your losers. The further above 1.0 it sits, the more cushion your edge has to absorb a rough stretch — commissions, slippage, a cold streak — without going underwater. A profit factor hovering right at 1.0 means you're doing a lot of work to break even, and the leak is usually visible in one of the segments below.
Profit factor and expectancy usually move together, but profit factor is easier to compare across periods at a glance: this month vs last month, this setup vs that one.
Max drawdown is the largest peak-to-trough decline in your equity curve. Streak data tells you the longest run of consecutive losers you've produced. Together, they answer the most practical question in trading: can you survive your own strategy?
Every strategy — including profitable ones — produces losing streaks. If your position sizing can't withstand your own historical worst streak with room to spare, you don't have a risk problem waiting to happen; you have one already. This matters double for prop firm traders, where a trailing drawdown limit means your worst streak isn't just painful — it's terminal for the account.
Check your journal for your longest losing streak and deepest drawdown. Then ask what happens if the next one is 50% worse. If the answer is "blown account" or "blown eval," the fix is position sizing, not a new strategy.
The five metrics above describe your trading overall. The insight comes from cutting them by segment:
This is where a purpose-built journal earns its keep. Computing expectancy by setup by hand is a spreadsheet project you'll do once and abandon. Our comparison of the best trading journal apps looks specifically at which platforms do this segmentation for you automatically.
None of these metrics mean anything over ten trades. A coin will happily flip heads seven times out of ten. Before you conclude a setup works or doesn't, you want dozens of occurrences — and before you conclude your overall expectancy is real, you want more. Judge slowly, in batches, and treat any metric from a small sample as a hypothesis rather than a fact.
The corollary: don't change your system after every red week. Change it when the data across a real sample says a specific piece isn't working — and then measure the change the same way.
You don't need a dashboard of forty numbers. Each week, in your trade review, look at exactly these:
Four numbers, ten minutes. That's the difference between a journal that's a diary and a journal that's an instrument panel.
Journali computes expectancy, R-multiples, profit factor, and win rate by setup automatically — from your logged or auto-synced trades.
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