# Analytics

<figure><img src="/files/2IEUFMZT5KM26KxHEHZ7" alt=""><figcaption></figcaption></figure>

### KPI Cards (top row)

* **Total PnL (SOL)**: Realised profit/loss from closed trades in the selected period.
* **Solana Spent (SOL)**: Total SOL deployed on buys in the period.
* **PnL %**: `(Total PnL / Solana Spent) × 100`.
* **Total Trades**: Number of closed trades (includes wins, losses, and break‑even).
* **Wins / Losses / BE**: Count of trades by outcome. *BE = break‑even*.
* **Avg PnL / Trade (SOL)**: `Total PnL ÷ Total Trades`.
* **Win Rate**: `Wins ÷ (Wins + Losses) × 100` (break‑evens excluded).

> Tip: Use **PnL %** to compare strategies with different buy sizes; use **Avg PnL/Trade** to detect over‑trading.

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### Charts

* **PnL (SOL) — last 7 days**: Net PnL per day. Hover to see exact values.
* **Solana Spent — last 7 days**: Daily buy spend. Spikes here without a matching PnL rise can signal over‑aggressive entries.

> If your timezone differs from the bot’s execution time, values may roll over at a different local hour.

***

### Recent Trades

A chronological table of your latest closed trades.

**Common columns**

* **Time** (UTC)
* **Token** (name / CA)
* **Size (SOL)**
* **PnL (SOL)** and **PnL %**

> Click a row to open full details for that trade (use this to validate slippage/fees and exit logic).

***

### Task Analysis

Compare every task you’ve run over the selected period.

**Per‑task metrics**

* **Wins / Losses / BE**
* **Win Rate**
* **Trades**
* **PnL (SOL)**
* **PnL %**
* **Avg PnL / Trade (SOL)**
* **Solana Spent (SOL)**

***


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