> For the complete documentation index, see [llms.txt](https://thedatanerd.gitbook.io/nerdbot-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://thedatanerd.gitbook.io/nerdbot-docs/features/wallet-analytics.md).

# Wallet Analytics

## How can use it?&#x20;

**1/** Click `📊 Wallet Analytic`&#x20;

<figure><img src="/files/MeSCrk74EMP8CzaAnZol" alt=""><figcaption></figcaption></figure>

2/ Input the wallet address you want to analyze

<figure><img src="/files/7PEDznYlL9oPh08uRfRW" alt=""><figcaption></figcaption></figure>

### The Result

The essential details about your wallet are displayed respectively:&#x20;

* A graph shows the balance of the wallet over time
* Winrate&#x20;
* PnL
* Number of Trade
* Top 3 profit and loss&#x20;

{% hint style="info" %}
*🤓 To ascertain whether this is smart money or not, one can simply analyze the win rate and profit and loss (PNL) figures.*
{% endhint %}

<figure><img src="/files/7vATcIAVHRHgI6rGFJvg" alt=""><figcaption></figcaption></figure>

Furthermore,  If the wallet address being analyzed is counted as a Smart Money, we suggest you set up [`🔔Notification`](/nerdbot-docs/features/alert.md) for this wallet and refer to the top projects that this wallet recently holds and purchased.

<figure><img src="/files/KvTBip7YuB44ebFImIr1" alt=""><figcaption></figcaption></figure>


---

# 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://thedatanerd.gitbook.io/nerdbot-docs/features/wallet-analytics.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.
