AZCoiner Whitepaper
  • I. Abstract
    • I.1 Vision & Mission
    • I.2 AZCoiner Supper App
  • II. The Power of Big Data and AI-Agent
  • III. Core Components and Features
    • III.1. AZC News
    • III.2. AZC Wallet
    • III.3. AI-Agent Trading
    • III.4. NFT Marketplace
    • III.5. SocialFi & GAAS
      • III.5.1. SocialFi- Market Potential
      • III.5.2. GAAS - Growth As A Service
  • IV. Profit sharing
  • V. Technology & Infrastructure
  • VI. Tokenomics
    • VI.1. Token Distribution
    • VI.2 Use Case
  • VII. User Roles & KYC
    • VII.1. Roles and Reward Policies
    • VII.2 KYC
  • VIII. Roadmap
    • VIII.1. Phase 1: Foundation Building
    • VIII.2. Intelligent Features Expansion
    • VIII.3. Comprehensive Ecosystem Integration and GAAS Enhancement
    • VIII.4. Personalization and Completion of the Decentralized Ecosystem
    • VIII.5. Roadmap
  • IX. Community & Governance
    • IX.1. Users Rights & Responsibilities
    • IX.2. AZCoiner Dao
    • IX.3. Information Channel
  • X. Appendix
    • X.1 Terminology
    • X.2 References
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  • Objective
  • Key Tasks
  • Technologies Used
  1. VIII. Roadmap

VIII.2. Intelligent Features Expansion

Objective

Implement AI-Agent 2.0 with capabilities to automate and optimize the GAAS process.

Key Tasks

Intelligent AI-Agent for Trading

  • Integrate Predictive Analytics: To forecast token prices and market fluctuations in the Swap and Perp exchanges.

  • Provide Automated Risk Management Features: Such as margin call alerts or automatic position closures.

Develop Growth-Oriented AI Agents

  • Use Federated Learning: To create personalized models based on user behavior.

  • Analyze and Suggest Efficient Airdrop or Staking Campaigns: Tailored to specific user groups.

Reward System and Gamification

  • Build Dynamic Reward Allocation Features: For users engaging in growth activities.

  • Integrate Web3 Tasks: Where users complete tasks to earn NFTs or tokens.

Technologies Used

Reinforcement Learning: For automated trading and optimizing profits.

Sentiment Analysis: To analyze social media data for GAAS strategy.

Orchestration Systems (Kafka, RabbitMQ): To manage real-time data.

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Last updated 4 months ago