ProTradeJournal

Dashboard Overview

The swing trader dashboard is your primary command center. It integrates your executions, performance metrics, and portfolio statistics, rendering a real-time trading performance analysis. Instead of scrolling through bloated spreadsheets, the dashboard surfaces your actual mathematical edge at a single glance.

Key Trading Statistics

At the top of the dashboard, a row of critical high-level tiles quantifies your overall portfolio health. These metrics are calculated dynamically based on your selected date filters:

Total Net P&L

The absolute profit or loss generated after deducting all brokerage fees, taxes, and exchange charges. Tracking your net bottom line ensures you understand your true take-home earnings rather than vanity gross figures.

Win Rate

The percentage of closed trades that resulted in a positive P&L. Calculated as:Win Rate = (Winners / Total Closed Trades) * 100

Profit Factor

A crucial measure of trade expectancy. It represents the ratio of gross profits to gross losses. A profit factor above 1.5 is generally considered healthy:Profit Factor = Gross Profits / Gross Losses

Avg R-Multiple

Expresses returns in units of risk (R). If you risk ₹5,000 on a trade (1R) and make ₹10,000, your return is 2R. A positive average R-multiple ensures that you can remain highly profitable even with a win rate below 50%.

P&L Summary Chart

The P&L Summary chart displays a dual-visualization of your performance:

  • Bar Chart: Individual bars represent the P&L of each trade sequentially, color-coded in emerald green (gain) or clean red (loss). This helps you quickly spot the distribution size of your winners vs. losers.
  • Line Chart (Cumulative): The blue line traces your cumulative net equity growth over time. A steady, upward-sloping line shows consistent edge compounding, while flat or downward periods denote drawdowns.

Monthly Performance Distribution

At the bottom of the page, four detailed charts break down metrics on a month-by-month basis to help identify seasonal or market-cycle-dependent performance variations:

Win % vs Loss %

Shows the ratio of wins to losses for each month. Use this to monitor consistency across different market cycles.

Number of Trades

Tracks your trade density. Overtrading in choppy, sideways markets is a common performance leak. If your trade count spikes during poor market breadth, it indicates lack of discipline.

Net R per Month

Tracks your monthly returns in risk units. Helps you focus on executing quality setups (high R returns) rather than focusing purely on raw rupee amounts.

Avg Win vs Avg Loss

Compares the average rupee size of your winning trades against losing trades. To maintain a strong edge, your average winner should ideally be at least 1.5 to 2 times the size of your average loser.

Advanced Filters & Controls

Use the sticky filter panel to query specific periods of interest:

  • Financial Year (FY) Dropdown: Instantly filter trades by Indian tax years (e.g., April 1 to March 31). The dropdown automatically adapts based on your historical execution data.
  • Custom Date Range: Define precise starting and ending dates for targeted reviews (e.g., checking performance during a specific 2-week market pullback).
  • Quarter & Month Selectors: Drill down into Q1-Q4 or individual months to check seasonal metrics.

Pro Tip: The Weekly Review Routine

Check your dashboard every weekend. Look at your **Profit Factor** and **Avg R-Multiple**. If your average R-multiple is dropping below 1R or your profit factor falls below 1.0, it is a warning sign that you need to either tighten your stop losses, reduce your position sizes, or review if you are taking low-probability setups.