> For the complete documentation index, see [llms.txt](https://quanthiveai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://quanthiveai.gitbook.io/docs/about/readme/architecture-overview.md).

# Architecture Overview

QuantHive’s architecture is designed to support both **manual and automated trade execution**, giving users full control or full automation based on their preferences. Users can manually act on real-time trading signals generated from aggregated alpha trader wallet activity.

For those who prefer hands-off trading, QuantHive offers automated trade execution, where the platform uses AI models trained on users’ on-chain profiles and watchlist behavior to execute trades on their behalf. Both modes are powered by our omni-chain infrastructure, allowing seamless execution across EVM, Sui, and Solana networks.

<figure><img src="https://i.ibb.co/ynqZV1nP/architecture.png" alt=""><figcaption></figcaption></figure>