> For the complete documentation index, see [llms.txt](https://gitbook.edgen.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gitbook.edgen.tech/edgen-litepaper/why-edgen/ai-and-market-intelligence.md).

# AI and Market Intelligence

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdHAWWh6x8-tjXa8dBtxtUntpEREK-v0ZouAD_iW0FuB5Q6iY-X_Gjlwp_uWAn6D_-g7nwHlNNr1wTaPE3qLLnLZdBypyxV4tnxA9qk31Y9l3m2JnW17HPk1ztQRbksKCR3uLOG?key=2IhZ5e5j2HIpI77yLYcor1Fw" alt=""><figcaption></figcaption></figure>

No trader can process everything. Markets generate information at a pace and scale beyond human capacity. Generic AI models struggle here. They lack the structure, context, and domain reasoning needed for financial markets.

Edgen addresses this with [**EDGM**](/edgen-litepaper/technical-principles/edgm-the-commander-model.md), a proprietary commander model. It directs a network of specialist agents, each built for a defined task: parsing earnings, tracing on-chain activity, scanning derivatives, or linking news to assets.

These agents follow a structured pipeline: query routing, intent classification, tool selection, data retrieval, analysis, and response generation. **Contextual and Graph RAG** refine this process, connecting entities and relationships that generic models miss. Outputs are integrated and delivered as one coherent answer.

AI does not replace the trader. It extends them. [Edgen](https://www.edgen.tech/) manages the scale and speed of data. The human brings strategy and judgment. Together they form an edge greater than either alone.