- Project structure setup
- Environment variable configuration
- API key management
- Basic OHLCV data collection
- Multi-token monitoring setup
- Temporary data storage system
- Token display improvements
- 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
- Basic AI model setup
- Trading Agent Example
- Risk assessment agent
- Entry/exit strategy agent
- Sentiment analysis agent
- Multi-agent coordination
- Portfolio optimization agent
- Real-time market analysis
- Social sentiment integration
- Advanced risk metrics
- Performance analytics
- Automated reporting
- Hyperliquid Perp Trading
- Hyperliquid Spot Trading
- Performance optimization
- Multi-chain support
- Advanced portfolio strategies
- Automated rebalancing
- Emergency protocols
- Enhancing risk agent with more market data analysis
- Improving multi-token coordination
- Developing portfolio analysis system
- Implementing percentage-based max loss/tp
- Cross-chain integration
- Advanced ML models
- Real-time sentiment analysis
- Automated strategy adjustment
- Community integration
- how to use ezbot.py
- how to run a test agent with trading_agent.py
- simply build one new agent per day, or improve one per day and then be out. slow and steady but focused ALWAYS wins.
[] % based max loss / tp
This roadmap is maintained by Moon Dev and serves as a guide for AI agents in understanding project progression ๐คโจ