Seasonality analysis helps you discover recurring patterns in your performance based on time — day of the week, week of the month, month of the year, or even hour of the day. Many traders are surprised to find that their results are not evenly distributed across these intervals.
The Seasonality page displays a heat map where rows represent one time dimension (e.g., day of the week) and columns represent another (e.g., hour of the day). Each cell is colored based on your average P&L for trades taken during that intersection. Dark green cells indicate your most profitable time slots, while red cells highlight when you tend to lose money.
For example, you might discover that you are consistently profitable during the first hour of the US session on Mondays and Tuesdays, but lose money during the afternoon on Fridays. This insight alone could justify skipping Friday afternoon sessions, saving you hundreds or thousands of dollars per month.
The seasonality view supports multiple levels of granularity. You can look at broad patterns (month-over-month) or drill into fine detail (15-minute intervals within a session). The data adapts to whatever filters you have active, so you can analyze seasonality for a specific instrument or strategy.
Use seasonality analysis as part of your regular trade review. Revisit it monthly to see if patterns are holding or shifting. Markets change over time, and what worked last quarter may not work this quarter. Staying aware of your seasonal tendencies keeps your trading plan aligned with reality.