> For the complete documentation index, see [llms.txt](https://landingnet.gitbook.io/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://landingnet.gitbook.io/doc/documentation/platform/discover-traders.md).

# Discover Traders

Browse and search Hyperliquid traders by performance to find who to copy.

## Filters & Sorting

**Time period:** 7 Days, 30 Days, or All Time.

**Sort by:** PnL, Score, Sharpe Ratio, Win Rate, Volume, or Max Drawdown (ascending or descending).

**Advanced filters:**

| Filter             | Description                         |
| ------------------ | ----------------------------------- |
| Token              | Filter by specific coin (e.g., BTC) |
| Min Volume         | Minimum trading volume threshold    |
| Max Drawdown       | Maximum drawdown threshold          |
| Hide Small Traders | Exclude low-volume traders          |
| Page Size          | 10, 20, 50, or 100 results          |

Click a **"Copy"** button on any row to go to [Bot Management](/doc/documentation/platform/bot-management.md) with the address pre-filled. Click a trader row to view their full profile.

## Trader Profiles

Each trader profile shows detailed performance data:

**Metric cards:** Total PnL (with trade count), Sharpe Ratio (with quality label), Win Rate (with counts), Max Drawdown (with score).

**Charts:** Equity curve (daily PnL over time) and portfolio allocation (PnL and volume per coin).

**Open positions:** Live view with coin, size, side, entry price, mark price, unrealized PnL, leverage, liquidation price, and ROE.

**Trade history:** Recent fills with coin, price, size, side, time, direction, closed PnL, and fee.

Traders with a score above 7.5 receive an **"Elite"** badge. Each profile links to the Hyperliquid Explorer and has a **"Copy This Trader"** button.

## Tips for Finding Good Traders

* **Sharpe ratio above 2** indicates consistent risk-adjusted returns
* **Low max drawdown** means more controlled risk
* Compare **30-day** and **all-time** stats -- consistency across periods is a good sign
* High **win rate** combined with positive **PnL** is ideal
* Avoid traders with very high volume but low PnL -- they may be churning


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://landingnet.gitbook.io/doc/documentation/platform/discover-traders.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.