The Journal's calendar and analytics sections give you a monthly view of every trading day, a Weekly Breakdown of performance by week, and a Monthly Summary with R-distribution, expectancy, win rate, and trade quality metrics.
The monthly calendar view and the analytics sections below it are designed to show you patterns across time, not just individual trades. Where the trade detail view answers why a single trade happened, the weekly and monthly overviews answer what is actually happening to your performance as a whole.
Consistency is not about individual trades. It is about what your data looks like across fifty or a hundred of them. The monthly and weekly views are where that signal starts to become visible.
The Monthly Calendar View
The calendar is the main view of the Journal page. It shows all trading days for the selected month. Each day cell that has activity displays:
- Number of trades taken on that day
- Net PnL for the day, colour-coded green for profitable and red for losing
Days with no trades remain blank. Days that fall outside the current month are greyed out.
Navigating Between Months
Use the left and right arrow buttons beside the month label to move between months. Click This month to return to the current month at any time. The expand icon opens the calendar in full-screen mode for a wider view across all weeks of the month.
PnL Display Format
The R, %, and $ toggle buttons in the Journal header control how PnL figures display across the calendar, day panel, and analytics sections. Switching to R shows R-multiples instead of monetary values, which is useful for evaluating execution quality independent of account size.
The Weekly Breakdown
Below the calendar, the Weekly Breakdown section shows each week of the month as a tile. Each tile displays the number of trading days active in that week and the total PnL for the week. The current week is visually highlighted.
Click any week tile to open the full Weekly Review page for that week, which includes the AI Analysis, Discipline Report, daily drill-down, and weekly reflection. See the Weekly AI Report article for a full walkthrough of that page.
The Monthly Summary
The Monthly Summary section appears below the Weekly Breakdown. It provides a quantitative breakdown of the selected month's performance across several metrics.
Monthly Summary featuring the R-distribution bar chart and metrics table with expectancy, win rate, average win/loss, best/worst trade, and total trades.
R-Distribution Chart
The bar chart on the left shows trade outcomes by R-multiple ranges (e.g., 0 to +1R, +1R to +2R). Bars to the right of zero indicate wins; left indicate losses.
Hover on a bar to see the number of trades and average R in that range. This reveals if wins cluster at small R values or if large R trades are common.
Monthly Metrics Table
The table on the right displays these metrics for the selected month:
| Metric | Meaning |
|---|---|
| Expectancy | Average expected return per trade in R. Positive means a strategy edge; negative means losses outweigh wins. |
| Win rate | Percent of profitable trades. Consider alongside average R for full context. |
| Avg Win | Average R on winning trades. |
| Avg Loss | Average R lost on losing trades. Compare to Avg Win to assess risk-reward. |
| Best trade | Highest R return that month. |
| Worst trade | Lowest R return that month. |
| Total trades | Total closed trades, broken into wins, losses, and breakeven. |
Note: Win rate and expectancy are best analyzed together. A low win rate with high Avg Win can yield positive expectancy, while a high win rate with low Avg Win and large Avg Loss can lead to negative expectancy. Neither metric alone tells the full story.
Reading Monthly Data as a Pattern
At month-end, consider these questions:
- Is my expectancy positive? If not, is it due to win rate, small average wins, or large average losses?
- Does the R-distribution chart show a healthy spread or clustering near zero with few large losses?
- Are there weeks with performance deviating from the monthly average? What caused it?
- Is this month’s trade count sustainable? Watch for overtrading or undertrading.
Tip: Use the R display toggle when reviewing monthly analytics. R-multiples remain consistent despite changes in account size or risk, allowing accurate month-to-month comparisons.
Frequently Asked Questions
What is expectancy and why is it important?
Expectancy is the average expected return per trade in R, based on win rate, average win, and average loss. Positive expectancy means your strategy is profitable over time; negative means it’s not. It’s the key metric in the Monthly Summary.
Why is my win rate high but expectancy negative?
This often means average losses are much larger than average wins. You win often but lose more per loss. Check if you’re cutting winners too soon or letting losses run too far.
How do I access the Weekly Review from the monthly calendar?
Click any week tile in the Weekly Breakdown below the calendar to open that week’s full review.
Are manual trades included in the monthly summary?
Yes. All trades shown in the Journal calendar for that month, including manual entries, are included.
Related Questions
- How do I view my trading performance by month in EdgeFlo?
- What does the R-distribution chart in the Monthly Summary show?
- How is expectancy calculated in the Journal?
- Why is my win rate high but my monthly performance is negative?
- How do I open the Weekly Review from the monthly calendar?
- What does Avg Win and Avg Loss mean in the Monthly Summary?
- How do I switch between R, percentage, and dollar view in the monthly overview?
- Are manual trades included in the Monthly Summary?
- How do I navigate to a previous month in the Journal?
- What does the Weekly Breakdown section show?
- How do I read the weekly tiles in the Weekly Breakdown?
- What is the difference between the Monthly Summary and the Dashboard analytics?
Can't find what you're looking for? Contact Support