Trading Journal Review: Win Rate, Profit Factor, and Expectancy Explained
By PlainSight — Insightful Actions · Updated July 2026 · ~8 min read
Most traders track the wrong number. Win rate feels like the scoreboard, but a 70% win rate can lose money and a 40% win rate can compound beautifully. What actually defines an edge is the relationship between how often you win and how much you win when you do. Here is how to read that from your own trade log.
What to export
From your broker or journal, export a trade history as CSV or Excel. The ideal file has one row per trade with the date and time, the symbol, the side, the size, and either a per-trade profit and loss figure or the entry and exit prices. If your platform only exports fills, that works too — round trips can be reconstructed by pairing them.
If you also tag setups and record intended risk per trade, include those columns. They turn a scorecard into a diagnosis.
The metrics that define an edge
Win rate — necessary, but meaningless alone
What it is: the share of trades that closed positive.
A high win rate with tiny winners and occasional huge losers is how accounts die slowly and then quickly. Never read win rate without reading the payoff ratio beside it. The two only mean something together.
Payoff ratio — average win divided by average loss
What good looks like: comfortably above 1 if your win rate is below 50%.
This is the other half of the sentence win rate starts. A 40% win rate with a 2.5 payoff ratio is a strong system. A 60% win rate with a 0.5 payoff ratio bleeds. Together these two numbers tell you whether the math works at all.
Profit factor — gross profit divided by gross loss
What good looks like: above 1.0 is profitable; roughly 1.3 to 2.0 is a solid, believable edge.
Profit factor is the cleanest single-number summary of a system. Below 1.0, you are paying the market to trade. Anything wildly above 2.0 over a small sample usually means luck or an unrepeatable market regime, not genius — check your trade count before you celebrate.
Expectancy — what one average trade is worth
What good looks like: reliably positive, and large enough to clear commissions and slippage.
Expectancy is net profit divided by number of trades. It converts your edge into a per-decision number, which is the only honest way to compare two strategies that trade at different frequencies. A $12 expectancy over 800 trades beats a $60 expectancy over 40.
R-multiple — profit measured in units of risk
What good looks like: a positive average R, with losses clustered near -1R.
If you risked $200 and made $400, that is +2R. R-multiples normalize across position sizes so you can compare a small trade to a large one honestly. Losses drifting well past -1R is the clearest evidence that stops are not being respected.
Maximum drawdown — the worst peak-to-trough stretch
What good looks like: small relative to your net profit, and survivable relative to your account.
Drawdown is what actually ends trading careers, because it is a psychological number before it is a financial one. Compare max drawdown against net profit: earning $20,000 through a $15,000 drawdown is a very different system from earning it through a $4,000 one.
Green-day rate — the share of trading days that ended positive
What good looks like: consistent enough that your equity curve grinds rather than lurches.
Two traders with identical annual returns can have completely different experiences. A high green-day rate means the edge shows up often; a low one means you are being paid by a handful of outliers, and you must survive long enough to catch them.
Now find the leak
Aggregate numbers tell you whether you have an edge. Slicing the same trades tells you where it lives and where it is being taxed. Four cuts do most of the work:
- By setup. Almost every journal has one strategy quietly funding the losses of another. Compute profit factor per setup and the pattern is usually obvious.
- By symbol. Some instruments simply do not suit your style — spread, volatility, or the way they move. A ticker that loses across twenty-plus trades is data, not variance.
- By time of day. Many traders make everything in the first hour and give a chunk back in the midday chop.
- By hold time. If your winners are held far shorter than your losers, you are cutting winners and nursing losers — the most common and most correctable pattern in retail trading.
A worked example
Say 248 trades produced $18,430 net, a 47% win rate, an average win of $312 and an average loss of $198. Payoff ratio is 312 ÷ 198 = 1.58. Profit factor works out near 1.42, and expectancy is 18,430 ÷ 248 = $74 per trade. That is a real edge despite winning fewer than half the time.
Now slice it: one setup shows 34 trades at a 0.71 profit factor and −$2,240. Removing it does not touch a single winning trade elsewhere — it simply stops a leak, and lifts the blended profit factor toward 1.7. That is the entire value of journal analysis in one move.
Three honest cautions
- Sample size. Under about 30 trades in a slice, you are reading noise. Be slower to act on thin data than the numbers tempt you to be.
- Regime. A strategy that worked in a trending quarter may not survive a choppy one. Date-slice before concluding a setup is broken forever.
- Survivorship in your own log. If you stopped journaling during bad stretches, your numbers are flattering you. Completeness matters more than tidiness.
Let PlainSight review your journal
Upload your trade log and PlainSight computes win rate, profit factor, expectancy, R-multiples, and drawdown, then breaks the edge down by setup, symbol, day, and time of day — with a written coaching read of where your leak is. It runs entirely in your browser; your trades never leave your device.
Try it free on your own numbers →
Frequently asked questions
- What file do I need from my broker?
- A trade history export as CSV or Excel. Either a per-trade profit and loss column, or side, quantity, and price columns — round trips can be paired from raw fills.
- How many trades before the numbers mean anything?
- Roughly 30 gives a rough read and 100 or more gives reasonable confidence for the whole book. For a single setup or symbol slice, apply the same threshold before acting.
- Is a high win rate bad?
- No, but it is incomplete. A high win rate is excellent when paired with a payoff ratio near or above 1. It becomes dangerous when it depends on letting losers run to stay 'right'.
- Are my trades private if I use PlainSight?
- Yes. Your file is processed entirely in your browser and never uploaded. Optional AI features send only anonymized summary statistics, never individual trades.
This guide is educational information about reviewing your own trading records. It is not investment advice, and nothing here is a recommendation to buy, sell, or hold any security. Past performance does not predict future results.