# Trades Log (/platform/charts/strategies/trades-log)



Open the [Backtest viewer](/platform/charts/strategies#backtest-viewer), then select **Trades Log**. Use this tab to inspect the trades behind the summary statistics and to see how results are distributed across individual dates.

The **View Mode** control switches between the list icon for the trade table and the calendar icon for daily results.

*Screenshots show an example BTCUSD backtest. Select an image to view it at full size.*

## Trade table [#trade-table]

<figure>
  [![Trades Log table showing trade numbers and direction, entry and exit times and prices, size, net P\&L, and cumulative P\&L](/images/charts/strategies/trades-log.png)](/images/charts/strategies/trades-log.png)

  <figcaption>
    Each row contains one trade's entry, exit, size, and reported result.
  </figcaption>
</figure>

| Column              | Meaning                                                                                             |
| ------------------- | --------------------------------------------------------------------------------------------------- |
| **Trade #**         | Trade identifier with a **long** or **short** direction label.                                      |
| **Entry**           | Entry date, time, and price.                                                                        |
| **Exit**            | Exit date, time, and price.                                                                         |
| **Size**            | Position quantity for that trade, not its dollar profit or loss.                                    |
| **Net P\&L**        | The individual trade's reported profit or loss. Green values are positive; red values are negative. |
| **Cumulative P\&L** | Running trade P\&L through that trade in the original sequence.                                     |

Entry and exit prices explain the direction of the result: a long benefits from a higher exit price, while a short benefits from a lower exit price. Position size and the instrument's value per price movement also matter when interpreting the amount.

Cumulative P\&L is different from a single trade's P\&L. For example, results of +$100, −$40, and +$20 produce cumulative values of +$100, +$60, and +$80. It is a running profit/loss total, not the account balance including starting capital.

The table uses the label **Net P\&L**, but its trade-level totals can differ from the headline Performance result. Do not assume that the label alone confirms identical cost treatment across views.

## Sort the table [#sort-the-table]

Select a column heading to sort the trades by that field. Select it again to reverse the direction; the arrow indicates the active sort order.

* **Trade #**, **Entry**, and **Exit** help inspect the sequence and timing of trades.
* **Size** helps compare trades with different position quantities.
* **Net P\&L** brings the largest winners or losers together.
* **Cumulative P\&L** helps locate high and low running totals.

Sorting changes the order of the rows, not the original trade sequence or the cumulative result attached to each trade. Return to &#x2A;*Trade #** when reading how results developed through the backtest.

## Calendar view [#calendar-view]

<figure>
  [![Monthly backtest calendar showing daily P\&L, trade counts, win rates, and a monthly summary](/images/charts/strategies/trades-calendar.png)](/images/charts/strategies/trades-calendar.png)

  <figcaption>
    The calendar combines each day's results and summarizes the selected month below.
  </figcaption>
</figure>

Select the **calendar icon** under View Mode. Use the left and right arrows beside the month to move through the calendar.

A populated day shows:

* **P\&L**: the combined result shown for that date.
* **Trades**: the number of trades included for the day.
* **Win rate**: the percentage of those trades that won.

Green cells indicate positive daily results and red cells indicate negative results. An empty cell has no reported trade results for that date; it is not a forecast for a future day.

A day can be profitable with fewer than half its trades winning if the winners are larger than the losers. Conversely, a high daily win rate can still accompany a loss. Read all three values together.

### Monthly summary [#monthly-summary]

| Metric                 | Meaning                                                |
| ---------------------- | ------------------------------------------------------ |
| **Month Net P\&L**     | Combined P\&L reported for the selected month.         |
| **Best Day**           | Date and result of the month's strongest day.          |
| **Worst Day**          | Date and result of the month's weakest day.            |
| **Avg Trades per Day** | The average daily trade count reported for that month. |

Months at the start or end of the backtest may only contain part of a month's data. Keep the backtest date range in view when comparing monthly totals.

For aggregated daily and weekday charts, see [Performance](/platform/charts/strategies/performance#daily-and-weekday-results). For distributions and holding durations, see [Trades Analysis](/platform/charts/strategies/trades-analysis).
