Monthly Trading Statistics Calculator
Calculate monthly trading statistics: win rate, average RR, expectancy, and profit factor. Enter values for instant results with step-by-step formulas.
Reviewed by Daniel Agrici, Founder & Lead Developer
Formula
Expectancy = (Win Rate x Avg Win) - (Loss Rate x Avg Loss)
Expectancy measures the average profit or loss per trade. Profit factor is gross profits divided by gross losses. The Kelly Criterion determines optimal position sizing based on win rate and payoff ratio. All metrics work together to provide a complete performance assessment.
Worked Examples
Example 1: Profitable Day Trader Monthly Review
Problem:A day trader took 40 trades in a month, winning 22 and losing 18. Average win was $250 and average loss was $150. Account size is $100,000.
Solution:Win Rate: 22/40 = 55%\nAvg Risk-Reward: $250 / $150 = 1.67\nGross Profit: 22 x $250 = $5,500\nGross Loss: 18 x $150 = $2,700\nNet Profit: $5,500 - $2,700 = $2,800\nProfit Factor: $5,500 / $2,700 = 2.04\nExpectancy: (0.55 x $250) - (0.45 x $150) = $137.50 - $67.50 = $70 per trade\nExpectancy in R: $70 / $150 = 0.467R\nMonthly Return: $2,800 / $100,000 = 2.8%
Result:Win Rate: 55% | Profit Factor: 2.04 | Expectancy: 0.467R | Monthly: 2.8%
Example 2: Swing Trader with High RR Low Win Rate
Problem:A swing trader took 15 trades, won 5 (33% win rate), with $800 average wins and $300 average losses on a $50,000 account.
Solution:Win Rate: 5/15 = 33.3%\nAvg Risk-Reward: $800 / $300 = 2.67\nGross Profit: 5 x $800 = $4,000\nGross Loss: 10 x $300 = $3,000\nNet Profit: $4,000 - $3,000 = $1,000\nProfit Factor: $4,000 / $3,000 = 1.33\nExpectancy: (0.333 x $800) - (0.667 x $300) = $266.67 - $200 = $66.67 per trade\nExpectancy in R: $66.67 / $300 = 0.222R\nMonthly Return: $1,000 / $50,000 = 2.0%
Result:Win Rate: 33.3% | Profit Factor: 1.33 | Expectancy: 0.222R | Monthly: 2.0%
Frequently Asked Questions
What are the most important monthly trading statistics to track?
The five most critical monthly trading statistics are win rate, average risk-reward ratio, expectancy, profit factor, and maximum drawdown. Win rate tells you how often you profit, but it means little without context from the risk-reward ratio. Expectancy combines both metrics to show your average profit per dollar risked. Profit factor divides gross profits by gross losses and should be above 1.5 for a robust strategy. Maximum drawdown shows your worst peak-to-trough decline and indicates whether your strategy could survive adverse market conditions. Tracking these five statistics monthly creates a performance dashboard that reveals whether your trading edge is strengthening, weakening, or remaining stable over time.
What is a good win rate for a trading strategy?
A good win rate depends entirely on your average risk-reward ratio because the two metrics are interconnected. A scalping strategy might have a 70% win rate but only average 0.8R per win, while a trend-following strategy might win only 35% of trades but average 3R per win. Both can be highly profitable. Generally, win rates between 40% and 60% are most common among consistently profitable traders. Win rates above 70% often indicate a strategy that takes profits too quickly, leaving significant gains on the table. Win rates below 30% can be profitable but are psychologically challenging because of long losing streaks. The key metric is not win rate alone but the combination of win rate and average R-multiple, expressed as expectancy.
What is trading expectancy and how do I use it?
Trading expectancy is the average amount you expect to make per dollar risked over many trades. It is calculated as: Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss). When expressed in R-multiples, a positive expectancy means your strategy has a mathematical edge. For example, an expectancy of 0.35R means you earn $0.35 for every $1 risked on average. To estimate monthly income: multiply expectancy by risk per trade in dollars and then by the number of trades per month. If your expectancy is 0.35R, you risk $500 per trade, and you take 40 trades per month, your expected monthly profit is 0.35 x $500 x 40 = $7,000. This assumes consistent execution without emotional interference, which is why realized expectancy is often lower than calculated expectancy.
How do I identify if my trading performance is deteriorating?
Performance deterioration can be identified through several warning signs in your monthly statistics. Watch for a declining rolling win rate over 3 or more consecutive months, a decreasing average R-multiple on winning trades, an increasing average loss size, or a profit factor trending below 1.5 toward 1.0. Other red flags include increasing frequency of maximum loss trades, deteriorating expectancy, or widening deviation between planned and actual risk-reward ratios. Compare your current month statistics against your trailing 6-month average. If your current month falls more than one standard deviation below your average in multiple metrics simultaneously, your edge may be eroding. This could be due to changing market conditions, psychological fatigue, strategy decay, or a combination of factors requiring systematic review.
References
Reviewed by Daniel Agrici, Founder & Lead Developer · Editorial policy