QuantHive.AI
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  • About
    • Introduction to QuantHiveAI
      • Product Market Fit
      • Team & Partners
      • Architecture Overview
  • Trading Safety & Profitability
    • Token Security Audits
    • Tracking of Aggregated Alpha Traders' Wallets
    • Social Sentiment AI Analysis
  • Wallets & Chains
    • QuantHive Wallet Breakdown
    • NFTs
      • On-Chain Trading Profiles
      • QuantHivers NFT Collection
      • Affiliate & Ambassador
    • Supported Wallets
    • Supported Chains
  • Referral Program
  • Point Farming & TGE
  • Roadmap
  • Official Links
  • Getting Started
    • Sign Up (Desktop)
    • Sign Up (Mobile)
  • Linking Trading Wallets
  • Trade Spot
  • Trade Perps
  • Portfolio
  • Notifications
  • Refer Your Friends
  • Points Leaderboard
  • Trading Tools
    • Spot & Perp Trading
      • Spot Trading
      • Perp Trading
    • Alpha Traders' Flow Signals
      • Alpha Traders' Activity
      • Traders' Profitability Index (TPI)
      • Momentum
    • Risk Management
  • Social Sentiment Trading Signals (Coming Soon)
  • Automated Trading (Coming Soon)
  • Protocol
    • Token Utility (Coming Soon)
    • Tokenomics (Coming Soon)
    • FAQ
    • Contact Us
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  1. About
  2. Introduction to QuantHiveAI

Architecture Overview

PreviousTeam & PartnersNextTrading Safety & Profitability

Last updated 19 days ago

QuantHive’s architecture is designed to support both manual and automated trade execution, giving users full control or full automation based on their preferences. Users can manually act on real-time trading signals generated from aggregated alpha trader wallet activity.

For those who prefer hands-off trading, QuantHive offers automated trade execution, where the platform uses AI models trained on users’ on-chain profiles and watchlist behavior to execute trades on their behalf. Both modes are powered by our omni-chain infrastructure, allowing seamless execution across EVM, Sui, and Solana networks.