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.
Where to Access this:
You can access the Reports: Symbol 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.
2. Customizable Charts:
Interactive charts to visualize your data. Plot up to three metrics side by side, such as Trade Count and Net P&L, and choose between bar or line charts to fit your preference.
Metrics you can plot include:
Time Analysis: Avg Hold Time
Profitability: Avg Loss, Avg Net P&L, Avg Win/Loss, Net P&L, Profit Factor, Trade Expectancy
Risk & Drawdown: Avg Drawdown, R-Multiples, Max Drawdown
Trading Activity: Avg Volume, Trade Count, Net Account Balance
Consistency: Avg Win %, Win %
Miscellaneous: Largest Win, Largest Loss
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:
Trade Quality & Risk Management
Average Hold Time, Average Loss, Average Net Drawdown, Max Net Drawdown, Monthly Net Drawdown ($), Largest Net Loss, Largest Net Profit, Average Planned R-Multiple, Average Realized R-Multiple
Profitability & Consistency
Average Net P&L, Net P&L, Trade Count, Average Win, Average Win %, Win %, Average Win/Loss, Profit Factor, Trade Expectancy, Average Volume, Net Account Balance, Average Net Trade P&L
Pro 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
Bottom 10 Symbols
Day of Week
Instrument (Ticker/Symbol)
Position Size
R-Multiple Category
Top 10 Symbols
Trade Duration
Volume
Entry Time by: 5 Minutes, 15 Minutes, 30 Minutes, or an Hour
Exit Time by: 5 Minutes, 15 Minutes, 30 Minutes, or an Hour
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, or trade durations. Use this report regularly to fine-tune your schedule, validate your strategy, and make smarter, data-driven trading decisions.
Pair it with Cross Analysis to dive even deeper and uncover patterns you might otherwise miss.
Happy analyzing—and 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!