AnFi AI
  • Introduction
    • Welcome to AnFi AI
    • Vision & Mission
    • Problems we solve
  • Technology Architecture
    • AI-Driven Market Intelligence
    • Dynamic Portfolio Management
    • Smart Execution Framework
  • AEGIS: The AI Trading Infrastructure
    • Overview
    • How AEGIS Works
      • AI-Powered Trading
      • Risk Agent
      • Smart Execution and Multi-Model Consensus
    • Revenue
  • The Vault
    • Overview
    • Key Functions
    • Metrics and Performance
  • General Information
    • Tokenomics
    • Roadmap
    • Utility
  • Socials
    • Website
    • X
    • Telegram
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  1. AEGIS: The AI Trading Infrastructure
  2. How AEGIS Works

Smart Execution and Multi-Model Consensus

AnFi AI's Smart Execution framework aims to minimize the cost of execution while enhancing precision and efficiency during trade placement. In the fragmented markets for trading cryptocurrencies, Slippage minimization and liquidity management are paramount in preserving scale performance.

The AEGIS engine accomplishes multi exchange trading by simultaneously executing trades on a number of exchanges while determining the best possible entry and exit points from:

  • Depth of order book

  • Spread assessment

  • Analysis of previous executions

By optimizing trade flow through best liquidity paths and aggregating volume when necessary, AEGIS guarantees that trade costs are minimal and market price disturbance is minor while meeting the required Transaction Cost Analysis (TCA).

AEGIS smart execution is supplemented with a Multi Model Consensus System which is the main component of the AI decisioning system that sets this products AEGIS apart.

Instead of a single model for market interpretation, AEGIS uses multiple independently trained AI models that evaluate trading opportunities from various analytical angles. Each model evaluates:

  • Market structure and volatility

  • Market sentiment

  • Transactional patterns on the blockchain

AEGIS initiates a trade only when models achieve consensus—with strong statistical agreement. This method:

  • Eliminates overfitting and model blindness

  • Improves dependability and precision within alerts and decisions

  • Strengthens reliability under uncertain/quickly changing conditions

Smart execution, combined with multi-model validation, provides, or ensures, institutional grade reliability where trades are not only intelligent but also executed at the best possible cost-efficiency.

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Last updated 23 days ago