Time Analysis

4 min readUpdated March 15, 2026

Time Analysis

The Time Analysis page is a deep-dive into the relationship between when you trade and how profitable those trades are. While the P&L by Hour & Day widget on the dashboard gives you a quick heatmap, the Time Analysis Insights page provides far more detail — including monthly trends, session breakdowns, and statistical significance indicators.

What You Will Find on This Page

P&L by Hour of Day

A bar chart showing your net P&L for each hour of the day (0:00 through 23:00). Green bars indicate profitable hours, red bars indicate losing hours. The height of each bar represents the magnitude of the profit or loss.

Below the chart, a table provides additional detail for each hour: number of trades, win rate, average P&L per trade, and total P&L. This lets you identify not just which hours are profitable, but why — is a profitable hour driven by a high win rate, or by a few large winners?

P&L by Day of Week

A bar chart showing your net P&L for each day of the week. This reveals weekly rhythms. Common findings include:

  1. Monday losses from chasing weekend price action.
  2. Midweek profitability when most major market participants are active.
  3. Friday losses from forced trading before the weekend.
  4. Weekend losses from low-liquidity crypto trading.

P&L by Month

A bar chart showing your net P&L for each calendar month. This is useful for identifying seasonal or trend-based patterns. Some traders perform better in trending markets (common in certain months) and worse in choppy, range-bound markets.

Full Hour-by-Day Heatmap

The same heatmap available on the dashboard, but larger and more detailed on the Insights page. Each cell includes trade count and exact P&L on hover, and you can click a cell to see the specific trades that contributed to that cell.

Highlight Cards

At the top of the Time Analysis page, highlight cards summarize the key findings:

  1. Best Hour — Your most profitable trading hour with total P&L and win rate.
  2. Worst Hour — Your most unprofitable hour with total P&L and the number of trades taken.
  3. Optimal Trading Window — A suggested window of hours where your combined performance is best. This is the range you should focus on.

Turning Time Analysis into Strategy Rules

1

Identify Your Top 3 Worst Hours

Look at the P&L by Hour chart and find the three hours with the largest negative bars. Note the total losses.

2

Calculate the Savings

Add up the losses from those three hours over the last 90 days. This is how much money you would have saved by simply not trading during those hours.

3

Create a Timing Rule

Go to your Strategy and add a timing rule: "Do not open new positions during [worst hours]." Be specific about the hours.

4

Monitor Compliance

Use Plan vs Actual to track whether you follow the timing rule. Use Hawk Alerts (Advanced plan) to get notified if you break it.

Tip: Your best trading hours are not necessarily the hours with the most trades. An hour where you take 2 trades with a 75% win rate and 2.5:1 R:R is far better than an hour where you take 15 trades with a 50% win rate and 0.8:1 R:R. Quality over quantity.

Understanding Crypto Market Sessions

Although crypto trades 24/7, volume and volatility follow patterns tied to traditional market hours:

  1. Asian Session (00:00-08:00 UTC) — Generally lower volume, sometimes choppy.
  2. European Session (08:00-16:00 UTC) — Volume picks up, trends often start here.
  3. US Session (14:00-22:00 UTC) — Highest volume, strongest moves, most volatility.
  4. US/EU Overlap (14:00-16:00 UTC) — Peak liquidity and volatility.
  5. Late Night (22:00-00:00 UTC) — Volume drops, spreads widen, unpredictable price action.

Cross-reference your Time Analysis results with these session windows. If your best hours coincide with the US/EU overlap and your worst hours fall in the late-night window, the data is telling you something clear about when to trade.

Important: All times on the Time Analysis page use your account time zone. Verify it is set correctly under Settings → Preferences. An incorrect time zone will shift all your hourly data and lead to wrong conclusions.

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