# Search

{% hint style="info" %}
**Live Page:** Open Search directly from the BullNBear navigation.
{% endhint %}

Search helps users quickly find tokens, wallets, traders, and public profiles inside BullNBear.

Instead of switching between different pages, users can search by **name, symbol, contract address, or wallet address** and jump directly to the result they need.

<figure><img src="/files/oEdcZlCItY37ziE8raN1" alt=""><figcaption></figcaption></figure>

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### What You Can Search For

BullNBear Search can be used to find:

* Token names
* Token symbols
* Contract addresses
* Wallet addresses
* Public user profiles
* Trader wallets

***

### Search Filters

The Search window includes quick filters to help users narrow down results faster.

Users can filter by:

* Chain
* Pool type
* Bonking
* Bonked
* Rush
* Market cap below 50K
* New tokens
* Sort options
* Advanced filters

This makes it easier to search through specific token types or market conditions.

***

### Pool Selection

Search also lets users select between supported pools, such as:

* Four.meme
* Bull ’n Bear

This helps users focus only on the launchpad or pool they want to explore.

***

### Public Profiles

When searching by wallet address, users can open a public profile page.

Public Profiles allow users to review wallet performance, holdings, trading activity, created tokens, analysis data, and risk signals before deciding whether to follow, track, or copy a wallet.

***

### How Users Use Search

Use Search when you want to quickly:

* Find a specific token
* Open a token chart page
* Check a contract address
* Look up a wallet
* Open a public profile
* Compare active tokens
* Navigate faster across BullNBear


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# Agent Instructions: 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://bullnbear.gitbook.io/trade/bullnbear/search.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.
