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

# SlothTrading Automated

Automated Trading Powered by AI Intelligence.

* **AI-Powered Trading Algorithms**\
  SlothTrading analyzes real-time market data, patterns, and sentiment to execute automated trading strategies.

* **Customizable Risk Profiles**\
  Users can select from multiple risk tiers — from conservative to high-volatility trading.

<figure><img src="https://65895971-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1jjk0weENrjMzoGHT1UW%2Fuploads%2Fru9kmMMAJGCmeCmVZyw4%2FWhatsApp%20Image%202025-07-21%20at%204.50.02%20PM.jpeg?alt=media&amp;token=fb6a4207-1797-40e9-8ef7-83c9e5321ca9" alt=""><figcaption></figcaption></figure>

* **DAO Governance Controls**\
  The community can vote on strategy updates, parameters, and bot improvements via SlothDAO proposals.

* **Revenue Sharing Model**\
  Profits generated from bot operations are partially redistributed to $SLOTHSPEPE stakers and DAO treasury.

* **Token Utility Integration**\
  Access to premium trading bot features requires staking or burning $SLOTHSPEPE, further driving token demand and utility.