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
Powered by GitBook
On this page
  • Core Layers
  • AI Liquidity Orchestration
  • Oracle Layer & On-Chain Execution
Export as PDF

Hybrid Liquidity Architecture

PreviousCore FeaturesNextReal-Time On-Chain Execution

Last updated 2 days ago

Liqui uses a modular hybrid liquidity architecture designed for speed, efficiency, and transparency. Built on MegaETH, it integrates three execution layers β€” AMM, CLMM, and CLOB β€” coordinated by AI agents and verified via on-chain oracles.

This architecture ensures continuous liquidity, adaptive execution, and efficiency across all market conditions.

Core Layers

  • AMM (Base Layer) At its foundation, Liqui operates an optimized (x*y=k) AMM model to ensure seamless swap experiences and uninterrupted liquidity access.

  • CLMM Pools LPs can define tight price ranges and optimize fee capture. Suggested ranges and rebalance triggers are powered by AI.

  • CLOB Engine A full-featured on-chain orderbook supports limit, market, and stop orders β€” ideal for high-frequency and institutional traders.

AI Liquidity Orchestration

All three layers are dynamically managed by AI agents.

Autonomous AI agents continuously monitor:

  • Market volatility and slippage

  • Pool utilization and liquidity gaps

  • Execution paths and price impact

Based on this, the protocol dynamically routes trades to the optimal layer, adjusts fees, and manages CLMM ranges β€” all via oracle-verified logic.

Oracle Layer & On-Chain Execution

AI decisions are routed through the Oracle Bridge:

  • Each decision is signed, timestamped, and hashed

  • Smart contracts verify the oracle signatures

  • No off-chain action is executed without on-chain validation

In sensitive modules like liquidation or leverage adjustment, multi-oracle consensus or threshold signatures are required.

Example:

  1. User requests a swap

  2. AI analyzes market context + pool state

  3. Oracle transmits AI’s signed recommendation

  4. Liqui router contract chooses best route (AMM / CLMM / CLOB)

  5. Transaction is executed on-chain, final and auditable

Benefits:

  • Adaptive market-making based on real-time data

  • Reduced slippage and price impact for users

  • More efficient use of liquidity capital in CLMM and CLOB

  • Automated fee and range adjustments without manual intervention

  • Improved transparency via verifiable oracle-signed decisions

  • Higher capital efficiency and sustainable LP returns