> ## Documentation Index
> Fetch the complete documentation index at: https://help.edgeanalyzer.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Performance Metrics

> Understanding the key metrics that measure your trading performance

Edge Analyzer tracks and calculates the metrics that matter most for evaluating your trading performance. Here's what each metric means and how to use it.

## Core Metrics

| Metric            | Definition                                                                | Good Target          |
| ----------------- | ------------------------------------------------------------------------- | -------------------- |
| **Net P\&L**      | Total profit minus total losses across selected accounts and date range   | Positive             |
| **Win Rate**      | Percentage of winning trades out of total trades (Winners / Total Trades) | Above 50%            |
| **Profit Factor** | Ratio of gross profit to gross loss (Gross Profit / Gross Loss)           | Above 1.5            |
| **Average Win**   | Average profit amount on winning trades                                   | Higher than Avg Loss |
| **Average Loss**  | Average loss amount on losing trades                                      | Lower than Avg Win   |
| **Expectancy**    | Average amount you can expect to make per trade                           | Positive             |
| **Total Trades**  | Number of completed (closed) trades in the selected period                | —                    |
| **Largest Win**   | Best single trade result                                                  | —                    |
| **Largest Loss**  | Worst single trade result                                                 | —                    |
| **Max Drawdown**  | Largest peak-to-trough decline                                            | Below 5%             |

### Expectancy Formula

<Card title="Expectancy Calculation" icon="calculator">
  **Expectancy = (Win Rate × Avg Win) - (Loss Rate × Avg Loss)**
</Card>

A positive expectancy means your trading system is profitable over time. The higher the expectancy, the more you can expect to earn per trade on average.

## Session-Based Metrics

Edge Analyzer categorizes trades by trading session based on execution time:

| Session      | Typical Hours (ET) | Description                           |
| ------------ | ------------------ | ------------------------------------- |
| **Asia**     | 7:00 PM - 3:00 AM  | Overnight trading, lower volatility   |
| **London**   | 3:00 AM - 8:00 AM  | Pre-US market, building momentum      |
| **New York** | 8:00 AM - 4:00 PM  | US regular trading hours, peak volume |

### Why Session Analysis Matters

Session analysis reveals which time periods produce your best results. You might discover:

* You have a 60% win rate in NY session but only 35% in Asia
* Your profit factor is highest during London session
* Most of your losses occur in the first hour of NY open

<Tip>
  Use session insights to focus your trading on the times when you perform best.
</Tip>

## Instrument-Based Metrics

Performance is broken down by instrument so you can see which markets you trade most profitably:

| Instrument | Description         |
| ---------- | ------------------- |
| **ES**     | E-mini S\&P 500     |
| **NQ**     | E-mini Nasdaq 100   |
| **CL**     | Crude Oil           |
| **GC**     | Gold                |
| **YM**     | E-mini Dow Jones    |
| **RTY**    | E-mini Russell 2000 |

### Insights You Can Gain

* Which instruments have your highest win rate
* Where your largest winners come from
* Which instruments to avoid based on poor performance

## Hold Time Analysis

Edge Analyzer tracks how long you hold positions and correlates hold time with trade outcomes:

| Pattern                    | What It Means                             | Action                       |
| -------------------------- | ----------------------------------------- | ---------------------------- |
| Long hold time on losers   | You may be holding losing trades too long | Consider tighter stop losses |
| Short hold time on winners | You may be cutting winners too early      | Let winners run longer       |
| Consistent hold times      | Good trade management discipline          | Continue current approach    |

### Example Insight

> "Your average hold time on losing trades is 4.2 minutes vs. 1.8 minutes on winners. Consider implementing tighter stop losses to reduce time in losing positions."

## Trade Distribution

### By Day of Week

See which days of the week produce your best and worst results. Many traders find patterns like:

* Monday: choppy, lower win rate
* Tuesday-Thursday: best performance
* Friday: reduced size due to weekend risk

### By Time of Day

Track performance by hour to identify:

* Your most profitable trading windows
* Times to avoid trading
* Optimal session focus

## Calculating Your Edge

Your "edge" is the statistical advantage your trading system provides. Key metrics that define your edge:

<CardGroup cols={2}>
  <Card title="Profit Factor > 1.5" icon="check">
    Your wins significantly outweigh your losses
  </Card>

  <Card title="Win Rate > 50%" icon="check">
    You win more trades than you lose
  </Card>

  <Card title="Positive Expectancy" icon="check">
    You expect to make money per trade on average
  </Card>

  <Card title="R:R > 1:1" icon="check">
    Your average win is larger than your average loss
  </Card>
</CardGroup>

## Filtering Metrics

View metrics filtered by:

* **Date range** — Today, this week, this month, custom
* **Account** — Individual account or all accounts combined
* **Instrument** — Specific futures contracts
* **Session** — Asia, London, or New York
* **Setup type** — If you've tagged trades with setup types

<Info>
  Combine filters to get specific insights, like "ES trades during NY session this month" or "All A+ setup trades in Q1."
</Info>

## Exporting Data

Export your metrics for further analysis:

1. Navigate to **Analytics**
2. Apply your desired filters
3. Click **Export**
4. Choose format (CSV, PDF)
5. Use in spreadsheets or share with mentors