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Reports: Day & Time

Analyze your trades by day, month, time, and duration. Discover when you perform best and make smarter trading decisions.

Hamza avatar
Written by Hamza
Updated over 2 weeks ago

Overview

TradeZella’s Reports: Day & Time section allows you to analyze your trading performance across different time-based filters. By examining how your trades perform on various days, times, and durations, you can spot patterns, optimize your strategy, and make more informed decisions about when to trade.

This report helps you fine-tune your trading schedule by highlighting when you’re most consistent, most profitable, or most at risk.

Where to Access this:

You can access the Reports: Day & Time section from the TradeZella dashboard by navigating to the Reports menu and selecting “Date & Time”. This will open this report page, where you can switch between the tabs described below.

Available Tabs

  • Days – Performance broken down by day of the week.

  • Month – Performance broken down by calendar month.

  • Trade Time – Performance broken down by time of day.

  • Trade Duration – Performance broken down by how long trades are held.

What You’ll See in Each Tab

1. Performance Summary:

A snapshot showing:

  • Best & Worst Performing Times – The periods with your highest and lowest profits.

  • Most Active Times – When you placed the most trades.

  • Best Win Rate – The time period with your highest win percentage.

These insights help you quickly identify when you tend to perform best and where adjustments might improve your results.

2. Customizable Charts:

Interactive charts let you visualize how your trading performance varies across different time periods. Plot up to three metrics side-by-side — for example, Net P&LTrade CountAvg Hold Time — and choose bar, line, etc, charts based on your preference.

These charts help you identify time periods where your trading is most profitable, most active, or most consistent — so you can plan your schedule accordingly.

Metrics you can plot include:

  • Time Analysis: Average trading days duration, Avg hold time, Longest trade duration, Max trading days duration

  • Profitability: Avg daily net P&L, Avg daily win/loss, Avg loss, Avg net trade P&L, Avg trade win/loss, Avg win, Net P&L, Profit factor, Trade expectancy

  • Risk & Drawdown: Avg daily net drawdown, Avg planned R-Multiple, Avg realized R-Multiple, Breakeven days / trades, Max daily net drawdown

  • Trading Activity & Volume: Avg daily volume, Daily net drawdown, Logged days, Net account balance, Open trades, Trade count, Longs / Shorts: # of trades, # of winning / losing / breakeven / open trades

  • Streaks & Consistency: Avg daily win %, Longs win %, Shorts win %, Max consecutive winning / losing days, Max consecutive wins / losses

  • Miscellaneous: Largest net loss / profit

💡 Tip: Combine metrics like Trade Duration and Net P&L to see which timeframes bring the strongest results.

3. Summary Table:

A table listing detailed stats for Days, Months, Trade Time, or Trade Duration. The rows adjust based on the selected tab, while the columns remain consistent and include:

Risk, Profitability & Consistency

  • Average Hold Time, Average Loss, Average Net Trade P&L, Average Planned / Realized R-Multiple, Average / Daily / Max Daily Net Drawdown, Max Net Drawdown, Largest Net Loss / Profit, Net Account Balance, Max Trading Days Duration, Longest Trade Duration, Net P&L, Average Net Trade / Daily Net P&L, Average Win, Trade Expectancy, Profit Factor, Average Win/Loss, Average Daily Win/Loss, Win %, Average Daily Win %

Activity, Volume & Position Breakdown

  • Trade Count, Average / Average Daily Volume, Open Trades, Logged Days, Breakeven Trades / Days, Longs / Shorts # of Trades, # of Winning / Losing / Breakeven / Open Trades, Win %

Streaks

  • Max Consecutive Winning / Losing Days, Max Consecutive Wins / Losses

💡 Tip: Click any column header to sort the table and quickly spot your strongest or weakest time-based results.

4. Cross Analysis:

An advanced tool that lets you apply a secondary filter to analyze performance within each time-based category.

The primary rows remain based on the selected tab (Day, Month, Time, or Duration), and you can add one of the following cross-filters across the columns:

  • Account / Playbook / Tag: Filter results across your different accounts, playbooks, or tags to compare performance.

  • Symbols: Bottom 10 symbols, Top 10 symbols, Entry price, Exit price, Instrument

  • Day & Time: Day of week, Month, Trade duration

  • Entry Time By: Entry time by 5 minutes, 15 minutes, 30 minutes, or hour

  • Exit Time By: Exit time by 5 minutes, 15 minutes, 30 minutes, or hour

  • Risk & Size: Position size, R-Multiple

For example, you could analyze performance by day of the week (rows) while also filtering by a specific stock symbol or trading account. Or, break down your Trade Time performance and compare how long vs. short positions fare during each hour of the day. Cross Analysis allows you to uncover patterns that may not be obvious when looking at a single factor alone.

Example Use Cases 🌟

✅ Focusing on Top and Bottom Days

A trader reviews the Days tab and notices that Tuesday and Wednesday have brought the most profits, while Friday afternoons have consistently resulted in losses. Using this insight, they decide to prioritize trading earlier in the week and reduce or avoid trades on Fridays.

By focusing on their best-performing days (and cutting out the worst), the trader aims to improve overall profitability.

✅ Comparing Performance by Time of Day

Another insight comes from the Trade Time tab: the trader sees that most of their gains come from trades placed in the first two hours after market open, while trades placed late in the afternoon tend to result in losses.

With this data, they choose to focus their trading window on the morning session and avoid trading later in the day, improving consistency and confidence.

✅ Optimizing by Trade Duration

On the Trade Duration tab, the trader notices that trades held between 10–30 minutes show the best overall profitability.

Based on this insight, they double down on quick setups that fit this timeframe and avoid overextending trades beyond what has historically worked.

✅ Using Cross-Analysis (Account Comparison)

The trader uses Cross Analysis with the Account filter to compare performance across two broker accounts. The data reveals that one account consistently shows higher fees or poorer execution.

With this insight, they choose to consolidate their trades to the better-performing account, reducing unnecessary costs.

✅ Using Cross-Analysis (Position Sizing by Day)

By cross-analyzing Position Size with Days of the Week, the trader discovers that larger trades placed on Mondays often perform worse than trades on other days.

They adjust their approach by reducing size on Mondays while keeping larger positions later in the week when performance improves.

✅ Using Cross-Analysis (Market-Specific Insights by Time)

The trader uses Cross Analysis with the Instrument filter and Trade Time tab to compare performance across different symbols and time windows.

They notice that most profits come from a handful of tickers traded early in the day.

With this insight, they narrow their focus to those symbols and that specific time window, avoiding trades that haven’t been delivering consistent results.

Final Thoughts

The Day & Time Report helps you uncover when you trade best — whether it’s specific days, times of day, or trade durations. Use Customizable Charts and Cross Analysis to go deeper, validate your strategy, and fine-tune your trading schedule for smarter decision-making.

Happy analyzing — here’s to trading smarter with TradeZella! 🚀

If you have any questions or need assistance, feel free to reach out to our support team — we’re here to help!

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