Analytics Overview

The Analytics section is where raw trading data becomes actionable insight. After completing trading sessions on the dashboard, navigate to Analytics to review your performance, spot patterns, and identify areas for improvement.

Accessing analytics

Click Analytics in the sidebar to open the analytics dashboard. Your data is organized across three primary tabs:

1. Overview — High-level metrics, equity curve, and calendar heatmap
2. Trade History — A detailed log of every trade with timestamps, prices, P&L, and duration
3. Journal — Session notes, tags, and ratings for qualitative review

All analytics data updates automatically after each trading session. There is nothing to configure — every trade you make on the dashboard is captured and available for review.

Overview tab

The Overview tab gives you a snapshot of your overall performance. This is the first screen you see when opening Analytics.

Key metrics

At the top of the Overview tab, you will find summary statistics for your trading:

Metric	Description
Total P&L	The sum of all realized profits and losses across all sessions
Win Rate	Percentage of trades that were profitable
Total Trades	Number of completed (closed) trades
Average Win	The mean profit on winning trades
Average Loss	The mean loss on losing trades
Profit Factor	Gross profit divided by gross loss. Above 1.0 means overall profitability. Above 2.0 is strong.
Largest Win	The single most profitable trade
Largest Loss	The single biggest losing trade
Average Trade Duration	How long you hold positions on average
Max Consecutive Wins	The longest winning streak
Max Consecutive Losses	The longest losing streak

Tip

Do not fixate on win rate alone. A strategy that wins 40% of the time can be highly profitable if the average win is much larger than the average loss. The profit factor metric captures this relationship more holistically.

Equity curve

Below the summary metrics, the equity curve shows your account balance plotted over time. This is the single most important visual in your analytics — it tells the story of your trading in one chart.

See Equity Curve for a detailed guide on reading and interpreting your equity curve.

Calendar heatmap (Pro)

The calendar heatmap displays your daily P&L as colored tiles on a calendar grid. Green tiles represent profitable days, red tiles represent losing days, and the intensity of the color shows the magnitude.

See Calendar Heatmap for details.

Time-of-day analysis (Pro)

The time analysis section breaks down your performance by hour of the day and day of the week, helping you identify when you trade best and when you should avoid trading.

See Time Analysis for details.

Trade history tab

The Trade History tab provides a complete log of every trade you have made. This is your audit trail — every entry, exit, P&L, and timestamp is recorded here.

Trade table columns

Column	Description
Date	The date the trade was executed
Time	The exact time of entry
Instrument	The symbol traded (NQ, ES, GC, CL, EURUSD)
Side	Long or Short
Quantity	Number of contracts
Entry Price	The fill price for the entry
Exit Price	The fill price for the exit
P&L	Realized profit or loss for the trade in dollars
Ticks	Number of ticks gained or lost
Duration	How long the position was held (from entry to exit)
Exit Reason	How the trade was closed (manual, stop loss, take profit, flatten)

Sorting and filtering

You can sort the trade history table by any column. Click a column header to sort ascending, click again for descending. This helps you quickly find:

• Your biggest winners and losers (sort by P&L)
• Your longest and shortest trades (sort by Duration)
• Trades on a specific date or instrument (sort or filter by Date/Instrument)

Exporting data

Trade history can be exported as a CSV file for analysis in external tools like Excel, Google Sheets, or Python. Click the export button at the top of the Trade History tab to download the full dataset.

Note

Free accounts retain 30 days of trade history. Pro accounts have unlimited retention — every session you trade is saved permanently.

Journal tab

The Journal tab is a qualitative complement to the quantitative data in Overview and Trade History. Here, you can add notes, tags, and ratings to each trading session.

See Trade Journal for a complete guide on using the journal effectively.

How to use analytics for improvement

Analytics is not just for record-keeping — it is a training tool. Here is a structured approach to using it:

Weekly review process

Set aside time once a week (15-30 minutes) to review your analytics. Go through these steps:

1. Check the equity curve — Is it trending up, down, or sideways? Are there sharp drawdowns? Look at the overall shape, not individual trades.

2. Review the calendar heatmap — Were there specific days that were unusually good or bad? Do certain days of the week consistently underperform?

3. Examine the time analysis — Are you trading profitably during certain hours and losing during others? Are you overtrading during low-quality times?

4. Sort trade history by P&L — Look at your biggest losses. Were they the result of a broken rule, an oversized position, or a legitimate setup that didn’t work? Look at your biggest wins for the same analysis.

5. Read your journal entries — What did you write about your emotional state, your preparation, and your execution? Are there patterns in what you noted on good days vs. bad days?

Metrics that matter most

While every metric has value, focus on these for long-term improvement:

• Profit factor — The ratio of gross profit to gross loss. Target 1.5 or higher. Below 1.0 means you are losing money overall.
• Average win vs. average loss — Your average win should be larger than your average loss, or your win rate must be high enough to compensate. Aim for at least a 1:1 ratio with a win rate above 55%, or a 2:1 ratio with a win rate above 35%.
• Max drawdown — The largest peak-to-trough decline in your equity curve. This shows your worst-case scenario and is critical for prop firm practice.
• Consecutive losses — A long losing streak can destroy confidence and trigger revenge trading. If your max consecutive losses is above 5-6, examine whether those losses clustered around a specific time or market condition.

Adjusting your trading based on data

Analytics should drive concrete changes to your trading plan:

Finding	Possible Action
Losing money in the first 30 minutes of the session	Wait until 10:00 AM ET to start trading
Win rate drops significantly on Fridays	Reduce position size or avoid trading on Fridays
Average loss is 3x larger than average win	Tighten stop losses or use bracket orders with fixed risk
Best performance on trending days, worst on range days	Focus on identifying trending conditions before trading
Longest drawdowns happen after big winning days	Set a daily profit target and stop when you hit it

Caution

Be careful about over-optimizing based on small sample sizes. You need at least 30-50 trades for win rate and profit factor to be statistically meaningful. Avoid making major changes to your strategy based on fewer than 20 trades.

Free vs. Pro analytics

Feature	Free	Pro
Summary metrics	Basic (P&L, win rate, trades)	Full suite (all metrics)
Equity curve	Yes	Yes
Calendar heatmap	—	Yes
Time-of-day analysis	—	Yes
Trade history	30 days	Unlimited
Trade journal	—	Yes
CSV export	—	Yes

Equity Curve Read and interpret your equity curve

Calendar Heatmap Spot daily P&L patterns

Time Analysis Find your best and worst trading hours

Trade Journal Add notes, tags, and ratings to sessions