Trading Journal Analyzer
Calculate trading journal with our free Trading journal Calculator. Compare rates, see projections, and make informed financial decisions.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Trading Journal Analyzer
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Formula: Expectancy = (Win% x Avg Win) - (Loss% x Avg Loss)
Worked example — Net Profit: $5,760 (23%) | Expectancy: $72/trade | Profit Factor: 2.50 | Kelly: 36%
Formula
Expectancy = (Win% x Avg Win) - (Loss% x Avg Loss)
Expectancy is the average expected profit per trade. Profit Factor = Gross Profits / Gross Losses. Kelly% = Win Rate - (Loss Rate / Risk-Reward Ratio). These metrics together reveal whether a trading strategy has a statistical edge and the optimal position size.
Worked Examples
Example 1: Swing Trader Monthly Review
Problem:A swing trader completed 80 trades this month: 48 winners with $200 average win, 32 losers with $120 average loss. Starting balance was $25,000. Max consecutive losses: 4.
Solution:Win rate = 48/80 = 60% Total profit = (48 x $200) - (32 x $120) = $9,600 - $3,840 = $5,760 Profit factor = $9,600 / $3,840 = 2.50 Risk-reward ratio = $200 / $120 = 1.67 Expectancy = (0.60 x $200) - (0.40 x $120) = $120 - $48 = $72 per trade Max drawdown = 4 x $120 = $480 (1.9% of account) Kelly = 60% - (40% / 1.67) = 36.0%
Result:Net Profit: $5,760 (23%) | Expectancy: $72/trade | Profit Factor: 2.50 | Kelly: 36%
Example 2: Scalper Performance Analysis
Problem:A scalper made 500 trades: 325 winners averaging $30, 175 losers averaging $50. Starting balance $5,000. Max consecutive losses: 8.
Solution:Win rate = 325/500 = 65% Total profit = (325 x $30) - (175 x $50) = $9,750 - $8,750 = $1,000 Profit factor = $9,750 / $8,750 = 1.11 Risk-reward = $30 / $50 = 0.60 Expectancy = (0.65 x $30) - (0.35 x $50) = $19.50 - $17.50 = $2.00 per trade Max drawdown = 8 x $50 = $400 (8% of account) Kelly = 65% - (35% / 0.60) = 6.7%
Result:Net Profit: $1,000 (20%) | Expectancy: $2/trade | Profit Factor: 1.11 | Kelly: 6.7%
Frequently Asked Questions
What is expectancy in trading and why is it important?
Expectancy is the average amount you can expect to win or lose per trade over a large sample. It is calculated as (Win Rate x Average Win) minus (Loss Rate x Average Loss). A positive expectancy means your trading system is profitable over time, while a negative expectancy means you are losing money. For example, if you win 55 percent of trades with an average win of $150 and lose 45 percent with an average loss of $100, your expectancy is (0.55 x 150) - (0.45 x 100) = $37.50 per trade. This single number summarizes whether your strategy has a statistical edge and is arguably the most important metric in any trading journal analysis.
What is the profit factor and what is a good value?
The profit factor is calculated by dividing total gross profits by total gross losses. A profit factor above 1.0 means you are making more than you are losing. Generally, a profit factor between 1.5 and 2.0 is considered good for most trading strategies. Values above 2.0 are excellent but may indicate a small sample size or unusually favorable market conditions that might not persist. A profit factor below 1.0 means the system is losing money. Professional traders often look for a minimum profit factor of 1.3 to account for slippage, commissions, and other real-world costs that can erode returns. Tracking profit factor over rolling periods helps identify when a strategy begins to degrade.
What is maximum drawdown and how should I evaluate it?
Maximum drawdown is the largest peak-to-trough decline in your account equity during a specific period. It measures the worst-case scenario you have actually experienced or could expect based on your trading statistics. A maximum drawdown of 20 percent means at some point your account fell 20 percent from its highest value. Most professional traders aim to keep maximum drawdown below 20 to 25 percent of their account. If your drawdown exceeds 30 percent, you need to earn 43 percent just to break even, which becomes increasingly difficult. Tracking the maximum number of consecutive losses multiplied by average loss size gives an estimate of potential drawdown.
How many trades do I need for statistically reliable results?
For trading statistics to be statistically meaningful, you generally need a minimum sample size of 30 trades to see basic patterns, but ideally 100 or more trades for reliable conclusions. With fewer than 30 trades, random variance can easily disguise whether your strategy has a real edge. At 100 trades, your win rate estimate has a margin of error of roughly plus or minus 10 percentage points at the 95 percent confidence level. For more precise estimates, you need 200 to 500 trades. This is why professional traders often paper trade or backtest through hundreds of simulated trades before committing real capital. Seasonal and market regime changes also mean that results from one period may not carry forward.
How does leverage work in forex trading?
Leverage lets you control a larger position with a smaller deposit (margin). At 100:1 leverage you control $100,000 with $1,000 margin. While leverage amplifies profits, it equally amplifies losses and can lead to margin calls if the market moves against you.
What is the spread and how does it affect trading costs?
The spread is the difference between the bid and ask price of a currency pair, measured in pips. It represents the broker's fee on each trade. Major pairs like EUR/USD typically have tighter spreads (0.5-2 pips) than exotic pairs (5-20 pips).
References
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer · Editorial policy
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