How to Calculate Win Rate, Profit Factor, and Expectancy

Trading statistics can look precise while still being misunderstood. A percentage with one decimal place appears scientific, but it is only useful when you know which trades were included, which trades were excluded, and how each result was classified.

Tradeloggy uses recorded journal data. For core closed trade analytics, a trade needs a recognized result and a valid profit and loss value. Wins, losses, and breakeven trades can be part of the closed trade count. Missed setups are stored separately because no trade was executed.

Understanding these rules matters because two platforms can display different values from the same history if they define the denominator differently.

Closed trades are the foundation for several performance calculations. In Tradeloggy, the closed trade count includes wins, losses, and breakeven trades when the trade contains a valid profit and loss value.

Breakeven trades remain part of the closed trade count because they were executed and closed. However, they do not increase or reduce win rate because they are neither wins nor losses.

Win rate measures the percentage of decisive outcomes that were wins. The formula is Wins divided by Wins plus Losses, multiplied by 100.

If a trader has 12 wins and 6 losses, there are 18 decisive outcomes. Twelve divided by eighteen equals 0.6667, which becomes 66.7 percent after multiplying by 100.

If the same trader also has 2 breakeven trades, the closed trade count becomes 20, but win rate remains 66.7 percent because breakeven trades do not enter the win rate denominator.

Win rate does not measure the size of wins and losses. A trader can win frequently but lose more money on the few losing trades than was earned on the winning trades.

For this reason, win rate should be reviewed together with average win, average loss, profit factor, expectancy, and drawdown. The question is not only how often you win. The question is whether the entire distribution of outcomes supports the trading process.

Profit factor compares gross winning profit with gross losing amount. Gross winning profit is the sum of positive profit and loss values from winning trades. Gross losing amount is the absolute size of the negative profit and loss values from losing trades.

The formula is Gross winning profit divided by Gross losing amount. If winning trades produced 1,000 units of profit and losing trades produced 500 units of loss, profit factor is 2.0.

A value above 1 means the recorded winning profit is greater than the recorded losing amount. A value below 1 means losses are greater than wins for the selected sample.

A strong profit factor across a very small number of trades may not tell you much about long term consistency. One unusually large winning trade can also influence the value significantly.

Review the number of trades, the distribution of results, the largest win, the largest loss, and the drawdown path. The metric becomes more useful when you understand what created it.

Expectancy estimates the average monetary outcome implied by the recorded win probability, average win, loss probability, and average loss.

The formula is Win probability multiplied by Average win, minus Loss probability multiplied by Average loss. It answers a simple historical question: based on this sample, what average result is implied per decisive trade outcome.

Expectancy is not a prediction of the next trade. It is a summary of historical data. If risk sizing changes significantly from trade to trade, the monetary expectancy can also become harder to interpret.

Average win is gross winning profit divided by the number of winning trades. Average loss is gross losing amount divided by the number of losing trades.

These two values help explain why two traders with the same win rate can have very different outcomes. One trader may allow winners to become larger than losses. Another may take small profits while allowing occasional large losses.

Net profit and expectancy describe outcomes, but they do not show how difficult the path was. Drawdown measures the decline from a previous cumulative profit peak.

A strategy can finish profitable while experiencing a deep decline during the period. That difference matters for risk tolerance, prop firm rules, psychology, and position sizing.

A professional review rarely depends on one number. Win rate shows frequency of wins. Average win and average loss show size. Profit factor compares total wins with total losses. Expectancy summarizes the average historical outcome. Drawdown shows the path of decline.

When these metrics are combined with setup, session, pair, and psychology data, the journal becomes more useful. The numbers tell you where to look. The actual trades explain why.