Metrics

Time Heatmap: Finding Your Optimal Trading Hours

Practice—Process·Trading Analytics

January 10, 20258 min read

Not all hours are created equal. Your performance varies dramatically depending on when you trade, yet most traders treat every session identically. The Time Heatmap reveals your personal performance patterns across every hour and day of the week.

How the Time Heatmap Works

Practice—Process analyses every trade in your history and plots performance on a grid where:

Y-axis: Day of the week (Monday through Friday)

X-axis: Hour of the day (pre-market through post-market)

Cell colour: Performance intensity (deep green for profitable, deep red for unprofitable, neutral for breakeven)

The result is an at-a-glance view of when your edge is strongest and when it disappears entirely.

Reading the Heatmap

Cell Metrics

Each cell contains several data points accessible on hover:

Total trades: How many trades you have taken in that time slot

Win rate: Percentage of profitable trades

Average R-multiple: Mean return per unit of risk

Expectancy: Expected value per trade

Net P&L: Raw profit or loss for that slot

Statistical Significance

Cells with fewer than 10 trades are marked with lower opacity. Conclusions drawn from small samples are unreliable—you need sufficient data before adjusting your schedule based on the heatmap.

Common Patterns

The Morning Edge

Many traders show strong performance in the first two hours of the session. Volume is highest, spreads are tightest, and fresh setups from overnight analysis play out. Performance then deteriorates through the midday lull.

The Afternoon Trap

A red band across afternoon hours is common. Lower volume, choppy price action, and accumulated decision fatigue combine to erode edge. Traders who continue through this period often give back morning gains.

Day-of-Week Effects

Friday afternoons are notoriously poor for many traders—reduced participation, position squaring, and weekend risk aversion create difficult conditions. Monday mornings can be equally tricky as traders react to weekend developments.

Session Overlap Performance

Forex traders often see their best results during the London-New York overlap (13:00–17:00 UTC). The heatmap makes this immediately visible.

Configuring the Heatmap

Time Zone

Ensure your time zone is set correctly in Settings then Preferences. The heatmap adjusts all timestamps to your local time.

Metric Selection

Toggle between different metrics using the dropdown:

P&L: Raw profit and loss per cell

R-Multiple: Risk-adjusted returns

Win Rate: Simple percentage

Trade Count: Volume of activity (useful for identifying overtrading windows)

Filters

Apply filters to isolate specific patterns:

By strategy (do different approaches perform better at different times?)

By instrument (does your ES edge exist at different hours than your NQ edge?)

By trade direction (do your shorts perform better in the afternoon?)

Actionable Insights

Define Your Trading Window

Based on the heatmap, create a concrete schedule: 1. Identify the 2-3 hour blocks with the deepest green cells 2. Set these as your primary trading window 3. Treat amber or red periods as observation-only time 4. Enforce the schedule for at least one month

Reduce Losses by Elimination

Calculate the total P&L from your red cells. This figure represents what you would have saved by simply not trading during those periods. For many traders, this number alone justifies a restricted schedule.

Seasonal Adjustments

Run the heatmap across different quarters. Market microstructure changes with daylight saving time transitions, earnings seasons, and holiday periods. Your optimal window may shift with the calendar.

The Time Heatmap transforms vague advice like "trade when you are at your best" into a specific, data-driven schedule. Let the numbers define your hours.

Practice—Process

Trading Analytics