> For the complete documentation index, see [llms.txt](https://aurexgold.gitbook.io/aurexgold-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aurexgold.gitbook.io/aurexgold-docs/aurex-gold-official-whitepaper.md).

# Aurex Gold — Official Whitepaper

AI-Powered Precious Metals Trading Intelligence | Version 2.0 | September 2026

Aurex Gold is an AI-driven trading intelligence platform designed to bridge the world of precious metals with modern Web3 infrastructure. The platform combines real-time market data, multi-agent AI analysis, and automated trading strategies to empower users with smarter, data-backed trading decisions across globally traded metal commodities.

Aurex Gold settles trades in digital stablecoins (USDT/USDC) on BNB Smart Chain (BEP-20), providing a seamless, blockchain-native trading experience. The platform integrates six specialized AI agents, four automated trading bots, and advanced risk management systems to deliver institutional-grade gold market intelligence to every investor.

With a minimum entry point of just $100, Aurex Gold makes professional precious metals trading accessible regardless of portfolio size — while offering sophisticated tools that experienced traders demand. The platform also features fixed staking plans backed by physical gold allocation, a multi-level referral network, and a comprehensive rank-based incentive system.

**Website:** <https://aurexgold.io>

**Platform:** <https://app.aurexgold.io>


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://aurexgold.gitbook.io/aurexgold-docs/aurex-gold-official-whitepaper.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
