> For the complete documentation index, see [llms.txt](https://modern-stoic-ai.gitbook.io/hypertrade-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://modern-stoic-ai.gitbook.io/hypertrade-ai/getting-started/introduction.md).

# Introduction

## HyperTrade:&#x20;

HyperTrade is a no-code platform for building, testing, deploying, and monetizing trading models. It lets users design strategies without writing code. It runs backtests on real exchange data. It deploys live strategies on major crypto exchanges. And it hosts a marketplace where users can buy or sell strategies.. \
\
HyperTrade caters to both Retail and Institutional clients looking to navigate the fast-evolving crypto space. By leveraging machine learning for strategy generation and user-friendly tools for market analysis, HyperTrade aims to become the go-to community-first solution for anyone interested in strategy monetization and analytics. <br>

<figure><img src="/files/Pmj2zLffkjaqwCtOnUYj" alt=""><figcaption></figcaption></figure>

### HyperTrade Capabilities

• Community-First Approach: Users learn from each other by sharing strategies, insights, and real-world performance metrics.

• AI-Driven Insights: Natural Language Processing (NLP) and Large Language Models (LLMs) help translate plain English queries into actionable trading strategies.

• Unified Data Layer: Real-time and historical data from various crypto exchanges  (Binance, OKX, Bybit, Hyperliquid, Gate.io), to run Live & backtest strategies on.

• Marketplace Platform: Strategy creators publish their models with descriptions and performance stats & allowing others to purchase them!

<div data-full-width="false"><figure><img src="/files/imxYGODqwWrTfqgQncHZ" alt=""><figcaption></figcaption></figure></div>


---

# 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, and the optional `goal` query parameter:

```
GET https://modern-stoic-ai.gitbook.io/hypertrade-ai/getting-started/introduction.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
