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.