Understanding Your Journal Statistics

Track Your Trading Performance with Data

The journal statistics section provides an overview of your trading performance based on the entries you have logged. These metrics help you identify strengths, weaknesses, and trends in your trading.

Key Metrics

Win Rate

Your win rate is the percentage of closed trades that were profitable. It is calculated as:

Win Rate = (Winning Trades / Total Closed Trades) x 100

A "winning trade" is one where the exit price was better than the entry price (accounting for direction). Long trades win when the exit is above the entry. Short trades win when the exit is below the entry.

What is a good win rate? It depends on your risk-to-reward ratio. A trader with a 3:1 R:R can be profitable with a win rate as low as 30%. A trader with a 1:1 R:R needs to win more than 50% of the time. The win rate alone does not tell the full story.

Average Risk-to-Reward Ratio (R:R)

This metric shows the average ratio of profit to loss across your closed trades:

• A positive R:R means your winning trades are, on average, larger than your losing trades
• The higher the average R:R, the fewer trades you need to win to be profitable overall

Total Profit and Loss (P&L)

Your cumulative profit or loss across all closed trades, shown in dollar terms. This is the bottom-line metric that reflects your overall performance.

Visual Charts

Equity Curve

The equity curve plots your cumulative P&L over time as a line chart. It shows:

• Upward slopes indicate periods where you were consistently profitable
• Downward slopes indicate drawdown periods where losses accumulated
• The overall trend tells you whether your trading is improving, declining, or staying flat

A healthy equity curve trends upward with manageable drawdowns. Sharp drops may indicate periods where risk management broke down.

Calendar Heat Map

The calendar view shows your trading activity and outcomes by day:

• Green days represent profitable trading days
• Red days represent days where you lost money
• Darker shading indicates larger gains or losses
• Empty days indicate no trades were closed

This visualization helps you spot patterns like specific days of the week where you tend to trade better or worse, or periods where you overtraded.

How to Use Your Statistics

Regular Review

Set a routine to review your statistics weekly or monthly. Look for:

• Is your win rate trending up or down?
• Is your average R:R improving?
• Are there specific time periods where performance changed significantly?

Identify Problem Areas

Statistics can reveal issues like:

• A high win rate but low P&L (winning often but losing big when you do lose)
• A low win rate but positive P&L (losing often but winning big, which is fine)
• Declining performance during certain market conditions

Set Improvement Goals

Use your current statistics as a baseline and set specific, measurable goals:

• "Improve my average R:R from 1.5:1 to 2:1 this month"
• "Reduce my maximum daily loss by tightening stop-losses"
• "Increase my win rate by being more selective with entries"

Important Notes

• Statistics only reflect closed trades where both entry and exit prices are recorded
• Open trades (entries without exits) are not included in the calculations
• The more data you log, the more meaningful your statistics become. A small sample size can be misleading

Note: Trade journaling is a Pro feature. Upgrade to Pro to start tracking your performance.