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๐ŸŒ™ Moon Dev AI Trading System Roadmap

Phase 1: Foundation โœ…

  • Project structure setup
  • Environment variable configuration
  • API key management
  • Basic OHLCV data collection
  • Multi-token monitoring setup
  • Temporary data storage system
  • Token display improvements

Phase 2: Core Trading Infrastructure ๐Ÿšง

  • ezbot.py that allows hand traders bot functions
  • Market buy/sell functionality
  • Position management
  • Slippage control
  • Transaction retry logic
  • Risk management system
  • Portfolio-wide analysis
  • Advanced order types

Phase 3: AI Integration ๐Ÿค–

  • Basic AI model setup
  • Trading Agent Example
  • Risk assessment agent
  • Entry/exit strategy agent
  • Sentiment analysis agent
  • Multi-agent coordination
  • Portfolio optimization agent

Phase 4: Advanced Features ๐Ÿ”ฎ

  • Real-time market analysis
  • Social sentiment integration
  • Advanced risk metrics
  • Performance analytics
  • Automated reporting
  • Hyperliquid Perp Trading
  • Hyperliquid Spot Trading

Phase 5: Optimization & Scaling ๐Ÿš€

  • Performance optimization
  • Multi-chain support
  • Advanced portfolio strategies
  • Automated rebalancing
  • Emergency protocols

Current Focus ๐ŸŽฏ

  • Enhancing risk agent with more market data analysis
  • Improving multi-token coordination
  • Developing portfolio analysis system
  • Implementing percentage-based max loss/tp

Future Considerations ๐ŸŒ 

  • Cross-chain integration
  • Advanced ML models
  • Real-time sentiment analysis
  • Automated strategy adjustment
  • Community integration

Guides/Examples to make

  • how to use ezbot.py
  • how to run a test agent with trading_agent.py

vision for improving this package

  • simply build one new agent per day, or improve one per day and then be out. slow and steady but focused ALWAYS wins.

random features

[] % based max loss / tp

This roadmap is maintained by Moon Dev and serves as a guide for AI agents in understanding project progression ๐Ÿค–โœจ