# Hyperliquid Trader Technical Metrics

## `GET /internal/technical/indicator/{address}`

**Description:** Retrieve comprehensive technical indicators, performance metrics, category scores, and behavioral profiles for a specific user address.

This endpoint provides deep analytical insights into a trader’s technical behavior, market adaptability, trading style, strengths/weaknesses, and statistical performance.

***

### **Request**

**HTTP Method:** `GET`\
**Endpoint:**

```
/internal/technical/indicator/{address}
```

#### **Path Parameter**

| Name      | Type   | Description         |
| --------- | ------ | ------------------- |
| `address` | string | User wallet address |

***

### **Response**

**Content Type:** `application/json`

The response returns a `RecentTradeItem` object with multiple dimensions of technical and behavioral analysis.

***

## **Type: RecentTradeItem**

| Field                 | Type                 | Description                 |
| --------------------- | -------------------- | --------------------------- |
| `address`             | string               | User address                |
| `overall_score`       | number               | Overall composite score     |
| `category_scores`     | `CategoryScore[]`    | Score breakdown by category |
| `indicators`          | `Indicator[]`        | Detailed indicator list     |
| `profile`             | `Profile`            | Trader profile              |
| `market_adaptability` | `MarketAdaptability` | Market adaptability metrics |
| `statistics`          | `Statistics`         | Trading statistics          |
| `metadata`            | `Metadata`           | Analysis metadata           |

***

### **Type: CategoryScore**

| Field      | Type   | Description                |
| ---------- | ------ | -------------------------- |
| `category` | string | Category identifier        |
| `cname`    | string | Category name              |
| `score`    | number | Score within this category |
| `weight`   | number | Category weight            |
| `count`    | number | Number of indicators       |

***

### **Type: Indicator**

| Field         | Type   | Description                  |
| ------------- | ------ | ---------------------------- |
| `name`        | string | Indicator identifier         |
| `cname`       | string | Indicator name (CN)          |
| `category`    | string | Category to which it belongs |
| `value`       | number | Indicator value              |
| `score`       | number | Indicator score              |
| `description` | string | Indicator description        |

***

### **Type: Profile**

| Field              | Type      | Description        |
| ------------------ | --------- | ------------------ |
| `trading_style`    | string    | Trading style      |
| `risk_level`       | string    | Risk level         |
| `experience_level` | string    | Experience level   |
| `strengths`        | string\[] | List of strengths  |
| `weaknesses`       | string\[] | List of weaknesses |

***

### **Type: MarketAdaptability**

| Field             | Type   | Description                 |
| ----------------- | ------ | --------------------------- |
| `trend_following` | number | Trend-following score       |
| `bull_market`     | number | Bull-market performance     |
| `bear_market`     | number | Bear-market performance     |
| `sideways_market` | number | Sideways performance        |
| `high_volatility` | number | High-volatility performance |
| `low_volatility`  | number | Low-volatility performance  |

***

### **Type: Statistics**

| Field                | Type   | Description                      |
| -------------------- | ------ | -------------------------------- |
| `total_trades`       | number | Total number of trades           |
| `winning_trades`     | number | Trades with profit               |
| `losing_trades`      | number | Trades with loss                 |
| `total_profit`       | number | Total profit amount              |
| `total_loss`         | number | Total loss amount                |
| `net_profit`         | number | Net accumulated profit           |
| `avg_win_amount`     | number | Average profit per winning trade |
| `avg_loss_amount`    | number | Average loss per losing trade    |
| `avg_holding_period` | number | Average holding duration         |
| `max_drawdown`       | number | Maximum drawdown                 |
| `max_profit`         | number | Largest single-trade profit      |
| `max_loss`           | number | Largest single-trade loss        |

***

### **Type: Metadata**

| Field                | Type   | Description                  |
| -------------------- | ------ | ---------------------------- |
| `calculation_time`   | number | Time spent calculating       |
| `data_completeness`  | number | Data completeness score      |
| `last_trade_time`    | string | Timestamp of last trade      |
| `analysis_period`    | string | Time range analyzed          |
| `total_data_points`  | number | Total number of data points  |
| `indicator_coverage` | number | Number of indicators covered |

***

### **Functionality**

This endpoint evaluates a trader's full technical profile by analyzing:

* Strategy and style
* Risk and behavioral metrics
* Technical indicators
* Market condition performance
* Win/loss patterns
* Profitability and drawdowns
* Statistical summaries
* Metadata of model confidence

It is a powerful tool for scoring traders, building leaderboards, or generating in-depth individual analytics.

***

### **Example Request**

```
GET https://openapi.wildmeta.ai/dataprovider/v1/internal/technical/indicator/0xAbC123...
```


---

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```
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```

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