Liqui Documentation v1.1
  • πŸ“OVERVIEW
    • Introduction
    • Mission
    • Vision
  • πŸ‘¨β€πŸ’»BUILT ON MEGAETH
    • Built on MegaETH
  • ⭐LIQUI ECOSYSTEM
    • Protocol Architecture
  • Core Features
  • Hybrid Liquidity Architecture
  • Real-Time On-Chain Execution
  • Autonomous Margin Layer
  • Intelligent Leverage Calibration
  • Smart Liquidation Logic
  • Dynamic Buyback and Burn Engine
  • AI Decentralized Marketing Assistant (ADMA)
  • πŸ“ˆTrading
    • Launchpad
    • Spot Trading
    • Margin Trading
    • Order Types
  • Order Options
  • ⏳Perpetual Futures (coming soon)
  • πŸ—ΊοΈRoadMap
    • ROADMAP
  • 🀝DAO DEVELOPMENT
    • DAO Evolution Phases
  • πŸ‘ΎSECURITY & RELIABILITY
    • Security & Reliability
  • πŸ’ΈLIQUI TOKENOMICS
    • $LIQUI Tokenomics
    • $LIQUI Allocation
    • Pre-Seed Round
    • How to Buy $LIQUI Token
  • πŸ₯½COLLABORATION
    • The future of Web3 is built through collective effort
  • πŸ”—SOCIALS
    • X
    • Discord
    • Telegram Channel
    • Blog
  • πŸ”‘OTHER
    • Terms of Use
  • Privacy Policy
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  • Core Architectural Components
  • The Role of AI in the Protocol
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  1. LIQUI ECOSYSTEM

Protocol Architecture

Core Architectural Components

  • AI Agents Processes real-time data (price, liquidity, trader behavior, volatility) and suggests the most effective actions β€” such as adjusting leverage, triggering liquidation or reallocating risk.

  • Oracle Layer Acts as a bridge between the AI and on-chain logic. Based on AI Agent outputs, the Oracle interacts with smart contracts to perform actions such as leverage adjustment, initiating liquidation, or opening positions on MegaETH. Custom oracles or multisig relays can be used.

  • MegaETH Execution Layer Enables fast and efficient interaction with low fees and a modular architecture suitable for dynamic protocol logic.

The Role of AI in the Protocol

AI is not just an external analytics layer β€” it plays a critical role in shaping protocol logic, with its outputs being verified and executed by smart contracts.

  • Analysis and Forecasting AI agents analyze data from various sources to identify market opportunities, and forecast market shifts.

  • Recommendations Based on its analysis, the AI generates optimization proposals for protocol parameters.

  • Security and Transparency Each AI decision includes a hash and signature β€” verified by smart contracts and auditable on-chain.

Benefits:

  • Flexible AI <=> Smart Contract Interaction

  • Transparent and automated on-chain execution

  • Modular and scalable architecture design

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Last updated 5 days ago

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