# What is Waveform?

<figure><img src="https://1945208502-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwnVI55UmD9QIaUZ1f7AB%2Fuploads%2F5RIweCKJoJzjqn1QcOH0%2F1.png?alt=media&#x26;token=2ba52554-b820-4357-a1e1-3be798e012f5" alt=""><figcaption></figcaption></figure>

Waveform is an autonomous AI-powered cryptocurrency trading platform that leverages advanced technologies to provide users with robust tools for navigating the fast-paced and volatile cryptocurrency market. Built on the principles of transparency, adaptability, and profitability, Waveform allows users to trade cryptocurrencies autonomously through fully customizable trading agents.

At its core, Waveform combines the power of **Large Language Models (LLMs)**, such as GPT-4 and Claude, with a large data set provided by the user. These components enable the platform to process vast amounts of unstructured data from sources like social media, forums, and market analytics. By transforming this data into actionable insights, Waveform enhances trading decisions and equips users with the tools to optimize their strategies.

With Waveform, users can:

* **Trade Autonomously**: Utilize the Waveform trading agent framework to make real-time trading decisions based on data-driven insights.
* **Customize User Agents**: Create personal trading agents tailored to specific strategies, preferences, and signals.
* **Engage Social Signals**: Integrate insights from Twitter, Telegram, and other platforms to respond quickly to market trends.

Whether you're an experienced trader or new to the cryptocurrency market, Waveform provides the features and tools to empower informed trading decisions while maximizing profit potential.


---

# 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://docs.waveform.finance/overview/what-is-waveform.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.