Liqua Whitepaper
  • Overview
  • Introduction
  • Problem Definition
  • The Liqua Protocol
    • Intelligent Intent Planning and Execution
    • Predictive Modeling and Risk Assessment
    • Transaction Monitoring and Validation
    • Security Protocols
    • Equilibrium Fees
    • Scalability and Efficiency
  • Technical Highlights
    • Hierarchy Unified Liquidity Network
    • AI-Based Liquidity Distribution and Intent Routing
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  1. Technical Highlights

AI-Based Liquidity Distribution and Intent Routing

Based on the user's cross-chain requests and the real-time status of liquidity pools on the source and target chains, Liqua uses AI algorithms and large model inference to meet user needs with optimal costs and time efficiency.Considering the user's cross-chain requirements—including token type, transaction volume, and user preferences (such as maximizing convertible amount or minimizing transaction fees)—the protocol evaluates the attributes of available liquidity pools, including depth, liquidity cost, and current real-time transaction status of each chain (including gas fees and on-chain congestion). Utilizing AI algorithms and intelligent dynamic planning capabilities, Liqua comprehensively compares the execution costs and efficiency of various candidate paths, devises the best plan and steps to meet user demands, and faithfully executes the user's cross-chain requests.

PreviousHierarchy Unified Liquidity Network

Last updated 10 months ago