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Trading Journal Dashboard: See What’s Working (and What’s Costing You)
A spreadsheet can store trades. A trading journal dashboard helps you understand them.
TradeBB’s dashboard is a trading performance tracker that turns your imported executions into clear KPIs and visual breakdowns—so you can spot repeatable edges, catch risk creep early, and stop guessing why performance changes over time. To get started, connect your account from our Integrations page, or use AI Import (Any Broker) if your broker/exchange isn’t listed.
Core KPIs (Your “single source of truth”)
Once your trade history is in, the dashboard becomes your trade tracker journal—a single place to evaluate performance across accounts and time ranges. If you haven’t imported yet, head to Integrations or try AI Import to turn statements/exports into usable analytics.
These top-level metrics summarize performance across your selected date range and accounts:
Total Net P&L
Your real “take-home” result after trading costs.
- Useful for: evaluating whether your process is profitable after friction.
- Watch for: gross green / net red → costs are eating your edge.
Total Gross P&L
Profit and loss before any costs are deducted.
- Useful for: judging the raw performance of entries/exits.
- Watch for: large gap between gross and net → cost control matters as much as strategy.
Win Rate
The percentage of trades that closed in profit.
- Useful for: understanding your style (high-win/low-R vs low-win/high-R).
- Watch for: high win rate with weak results → losses may be larger than wins.
Profit Factor
How efficiently profits outweigh losses.
- Interpretation: values above 1.0 indicate profitability.
- Watch for: profit factor near 1 → small execution issues can flip results.
Per-Trade Expectancy
The average amount you can expect to win (or lose) per trade over time.
- Useful for: quantifying your edge and estimating the expected value of an average trade (helpful for comparing strategies and tracking improvement).
- Watch for: negative expectancy → your edge may be absent, risk/reward or win rate is deteriorating, or fees/slippage are outweighing gains.
Avg Holding Time
Average duration trades remain open.
- Useful for: confirming whether you’re trading like a scalper, day trader, or swing trader.
- Watch for: holding-time drift → often signals emotional holds or unclear exits.

Performance & Risk (Equity, drawdowns, consistency)
This section is your “portfolio health” view—how results evolve, not just the totals.
Daily Performance
Day-by-day P&L so you can see streaks and volatility.
- Useful for: identifying “good weeks” versus one-off lucky days.
- Watch for: repeated large red days → often tied to overtrading or broken rules.
Equity Curve
The growth trajectory of your account balance over time.
- Useful for: seeing whether performance is stable or lumpy.
- Watch for: sharp spikes → performance may be driven by a few outsized trades.
Performance vs Equity
Compares daily P&L volatility against overall equity movement.
- Useful for: separating “steady growth” from “chaotic swings.”
- Watch for: equity rising mainly from one exceptional day → fragile pattern.
Drawdown Curve
The decline from equity peaks over time—your pain profile.
- Useful for: measuring risk and survivability.
- Watch for: deeper/longer drawdowns than expected → sizing or discipline may be too aggressive.
Profit & Loss by Time of Day
Shows P&L distribution across times of day.
- Useful for: finding your “golden hours” and avoiding low-quality sessions.
- Watch for: consistent losses at specific times → consider filtering those hours out.
Weekly Win Rate
Win rate by day of week.
- Useful for: spotting day-of-week bias (e.g., choppy Mondays, thin Fridays).
- Watch for: consistently weak days → adjust schedule or reduce risk on those days.

Time-Based Edge (Find your best and worst windows)
If your strategy has an edge, it often shows up in when you trade—not only what you trade.
Profit & Loss by Hour of Day
Hour-by-hour P&L focused on specific windows.
- Useful for: pinpointing hours that boost or damage results.
- Watch for: profits in one hour but losses in nearby hours → late entries or session transitions.
Hourly Win Rate
Winning percentage broken down by hour.
- Useful for: filtering out low-probability trading windows.
- Watch for: high win rate but negative P&L → wins may be small and losses large.
Hourly Trading Frequency
How active you are by hour.
- Useful for: confirming you’re trading during intentional windows—not boredom.
- Watch for: high activity during historically losing hours → classic overtrading leak.
Trade Behavior Breakdowns (Duration, schedule, cadence)
These charts connect outcomes to behavior—holding time, day-of-week habits, and consistency.
Profit & Loss by Trade Duration
P&L plotted against how long trades are held.
- Useful for: answering “Do I make more by holding longer—or cutting sooner?”
- Watch for: profits clustered at short durations but losses at long durations → exits may be drifting into hope mode.
Weekly Win Rate
Win rate by day of week.
- Useful for: spotting day-of-week bias (e.g., choppy Mondays, thin Fridays).
- Watch for: consistently weak days → adjust schedule or reduce risk on those days.
Win Rate by Day of Week
A more granular view of win rate patterns across the week.
- Useful for: validating whether weekly patterns persist.
- Watch for: noisy swings → widen sample size or segment by strategy.
Weekly Trading Frequency
How often you trade by weekday.
- Useful for: checking whether activity aligns with opportunity.
- Watch for: heavy frequency on losing days → habit trading, not edge trading.
Profit by Week
Weekly performance bars.
- Useful for: understanding consistency and “regime fit.”
- Watch for: one great week carrying the month → fragile edge.
Profit by Month
Monthly scorecard.
- Useful for: tracking long-term consistency and adapting to market conditions.
- Watch for: repeated down months → edge may be regime-dependent.
Monthly Win Rate
Win rate trend by month.
- Useful for: seeing whether your hit rate changes across market regimes.
- Watch for: stable win rate but worsening P&L → average loss is growing or costs are rising.
Why this works as trading analytics software (not just a report)
Great analytics starts with complete data. Whether you connect via Integrations or upload using AI Import (Any Broker), TradeBB turns fragmented history into trading analytics software that’s built for decision-making—not just reporting.
Use the dashboard to:
- Protect risk: monitor drawdowns and equity stability before a small leak becomes a big one.
- Improve execution: identify the hours/days you trade best and build schedule filters.
- Validate process: use expectancy, profit factor, and duration breakdowns to confirm what actually pays.
- Stay consistent: review daily/weekly/monthly scorecards to avoid “one big day” illusions.
This is what a visual trading journal should do: make patterns obvious and decisions easier.
FAQ
What is a trading journal dashboard?
A trading journal dashboard is the analytics layer on top of your trade log. A traditional journal records what you traded; the dashboard summarizes how you’re performing with KPIs and charts (equity curve, drawdowns, expectancy, and time-based breakdowns).
In practice, this means you can spot patterns—like profitable hours, costly days, or holding-time mistakes—without manually filtering spreadsheets.
Which metrics should I prioritize first if I’m new to performance tracking?
Start with four essentials: Net P&L, Profit Factor, Per-Trade Expectancy, and Drawdown. They cover profitability and risk without overwhelming your workflow.