300 lines
8.6 KiB
Markdown
300 lines
8.6 KiB
Markdown
# Improvement Roadmap - Hyperliquid Trading Bot
|
|
|
|
## Overview
|
|
This document outlines the detailed implementation plan for transforming the trading bot into a production-ready system.
|
|
|
|
## Phase 1: Foundation (Weeks 1-2)
|
|
|
|
### Week 1: Security & Stability
|
|
|
|
#### Day 1-2: Critical Security Fixes
|
|
- [ ] **Implement Encrypted Key Storage**
|
|
- Create `security/key_manager.py`
|
|
- Replace environment variable key access
|
|
- Add key rotation mechanism
|
|
- **Files**: `trade_executor.py`, `create_agent.py`
|
|
|
|
- [ ] **Add Input Validation Framework**
|
|
- Create `validation/trading_validator.py`
|
|
- Validate all trading parameters
|
|
- Add sanitization for user inputs
|
|
- **Files**: `position_manager.py`, `trade_executor.py`
|
|
|
|
#### Day 3-4: Risk Management
|
|
- [ ] **Implement Circuit Breakers**
|
|
- Create `risk/circuit_breaker.py`
|
|
- Add trading halt conditions
|
|
- Implement automatic recovery
|
|
- **Files**: `trade_executor.py`, `position_manager.py`
|
|
|
|
- [ ] **Fix Import Resolution Issues**
|
|
- Update relative imports
|
|
- Add `__init__.py` files where missing
|
|
- Test all module imports
|
|
- **Files**: `main_app.py`, all strategy files
|
|
|
|
#### Day 5-7: Code Quality
|
|
- [ ] **Refactor Dashboard Display**
|
|
- Extract `DashboardRenderer` class
|
|
- Split into market/strategy/position components
|
|
- Add configuration for display options
|
|
- **Files**: `main_app.py`
|
|
|
|
### Week 2: Configuration & Error Handling
|
|
|
|
#### Day 8-9: Configuration Management
|
|
- [ ] **Create Centralized Configuration**
|
|
- Create `config/settings.py`
|
|
- Move all magic numbers to config
|
|
- Add environment-specific configs
|
|
- **Files**: All Python files
|
|
|
|
- [ ] **Standardize Error Handling**
|
|
- Create `utils/error_handlers.py`
|
|
- Implement retry decorators
|
|
- Add structured exception classes
|
|
- **Files**: All core modules
|
|
|
|
#### Day 10-12: Database Improvements
|
|
- [ ] **Implement Connection Pool**
|
|
- Create `database/connection_pool.py`
|
|
- Replace direct SQLite connections
|
|
- Add connection health monitoring
|
|
- **Files**: `base_strategy.py`, all data access files
|
|
|
|
- [ ] **Add Database Migrations**
|
|
- Create `database/migrations/`
|
|
- Version control schema changes
|
|
- Add rollback capabilities
|
|
- **Files**: Database schema files
|
|
|
|
#### Day 13-14: Basic Testing
|
|
- [ ] **Create Test Framework**
|
|
- Set up `tests/` directory structure
|
|
- Add pytest configuration
|
|
- Create test fixtures and mocks
|
|
- **Files**: New test files
|
|
|
|
## Phase 2: Performance & Testing (Weeks 3-4)
|
|
|
|
### Week 3: Performance Optimization
|
|
|
|
#### Day 15-17: Caching Layer
|
|
- [ ] **Implement Redis/Memory Cache**
|
|
- Create `cache/cache_manager.py`
|
|
- Cache frequently accessed data
|
|
- Add cache invalidation logic
|
|
- **Files**: `data_fetcher.py`, `base_strategy.py`
|
|
|
|
#### Day 18-19: Async Operations
|
|
- [ ] **Convert to Async/Await**
|
|
- Identify blocking operations
|
|
- Convert to async patterns
|
|
- Add async context managers
|
|
- **Files**: `live_market_utils.py`, API calls
|
|
|
|
#### Day 20-21: Batch Processing
|
|
- [ ] **Implement Batch Operations**
|
|
- Batch database writes
|
|
- Bulk API requests
|
|
- Optimize data processing
|
|
- **Files**: Data processing modules
|
|
|
|
### Week 4: Testing Framework
|
|
|
|
#### Day 22-24: Unit Tests
|
|
- [ ] **Comprehensive Unit Test Suite**
|
|
- Test all core classes
|
|
- Mock external dependencies
|
|
- Achieve >80% coverage
|
|
- **Files**: `tests/unit/`
|
|
|
|
#### Day 25-26: Integration Tests
|
|
- [ ] **End-to-End Testing**
|
|
- Test complete workflows
|
|
- Mock Hyperliquid API
|
|
- Test process communication
|
|
- **Files**: `tests/integration/`
|
|
|
|
#### Day 27-28: Paper Trading
|
|
- [ ] **Paper Trading Mode**
|
|
- Create simulation environment
|
|
- Mock trade execution
|
|
- Add performance tracking
|
|
- **Files**: `trade_executor.py`, new simulation files
|
|
|
|
## Phase 3: Monitoring & Observability (Weeks 5-6)
|
|
|
|
### Week 5: Metrics & Monitoring
|
|
|
|
#### Day 29-31: Metrics Collection
|
|
- [ ] **Add Prometheus Metrics**
|
|
- Create `monitoring/metrics.py`
|
|
- Track key performance indicators
|
|
- Add custom business metrics
|
|
- **Files**: All core modules
|
|
|
|
#### Day 32-33: Health Checks
|
|
- [ ] **Health Check System**
|
|
- Create `monitoring/health_check.py`
|
|
- Monitor all system components
|
|
- Add dependency checks
|
|
- **Files**: `main_app.py`, all processes
|
|
|
|
#### Day 34-35: Alerting
|
|
- [ ] **Alerting System**
|
|
- Create `monitoring/alerts.py`
|
|
- Configure alert rules
|
|
- Add notification channels
|
|
- **Files**: New alerting files
|
|
|
|
### Week 6: Documentation & Developer Experience
|
|
|
|
#### Day 36-38: API Documentation
|
|
- [ ] **Auto-Generated Docs**
|
|
- Set up Sphinx/ MkDocs
|
|
- Document all public APIs
|
|
- Add code examples
|
|
- **Files**: `docs/` directory
|
|
|
|
#### Day 39-40: Setup Improvements
|
|
- [ ] **Interactive Setup**
|
|
- Create setup wizard
|
|
- Validate configuration
|
|
- Add guided configuration
|
|
- **Files**: `setup.py`, new setup files
|
|
|
|
#### Day 41-42: Examples & Guides
|
|
- [ ] **Strategy Examples**
|
|
- Create example strategies
|
|
- Add development tutorials
|
|
- Document best practices
|
|
- **Files**: `examples/`, `WIKI/`
|
|
|
|
## Phase 4: Advanced Features (Weeks 7-8)
|
|
|
|
### Week 7: Advanced Risk Management
|
|
|
|
#### Day 43-45: Position Sizing
|
|
- [ ] **Dynamic Position Sizing**
|
|
- Volatility-based sizing
|
|
- Portfolio risk metrics
|
|
- Kelly criterion implementation
|
|
- **Files**: `position_manager.py`, new risk modules
|
|
|
|
#### Day 46-47: Advanced Orders
|
|
- [ ] **Advanced Order Types**
|
|
- Stop-loss orders
|
|
- Take-profit orders
|
|
- Conditional orders
|
|
- **Files**: `trade_executor.py`
|
|
|
|
#### Day 48-49: Portfolio Management
|
|
- [ ] **Portfolio Optimization**
|
|
- Correlation analysis
|
|
- Risk parity allocation
|
|
- Rebalancing logic
|
|
- **Files**: New portfolio modules
|
|
|
|
### Week 8: Production Readiness
|
|
|
|
#### Day 50-52: Deployment
|
|
- [ ] **Production Deployment**
|
|
- Docker containerization
|
|
- Kubernetes manifests
|
|
- CI/CD pipeline
|
|
- **Files**: `docker/`, `.github/workflows/`
|
|
|
|
#### Day 53-54: Performance Profiling
|
|
- [ ] **Profiling Tools**
|
|
- Performance monitoring
|
|
- Memory usage tracking
|
|
- Bottleneck identification
|
|
- **Files**: New profiling modules
|
|
|
|
#### Day 55-56: Final Polish
|
|
- [ ] **Production Hardening**
|
|
- Security audit
|
|
- Load testing
|
|
- Documentation review
|
|
- **Files**: All files
|
|
|
|
## Implementation Guidelines
|
|
|
|
### Daily Workflow
|
|
1. **Morning Standup**: Review progress, identify blockers
|
|
2. **Development**: Focus on assigned tasks
|
|
3. **Testing**: Write tests alongside code
|
|
4. **Code Review**: Peer review all changes
|
|
5. **Documentation**: Update docs with changes
|
|
|
|
### Quality Gates
|
|
- All code must pass linting and formatting
|
|
- New features require unit tests
|
|
- Integration tests for critical paths
|
|
- Security review for sensitive changes
|
|
|
|
### Risk Mitigation
|
|
- Feature flags for new functionality
|
|
- Gradual rollout with monitoring
|
|
- Rollback procedures for each change
|
|
- Regular backup and recovery testing
|
|
|
|
## Success Criteria
|
|
|
|
### Phase 1 Success
|
|
- [ ] All security vulnerabilities fixed
|
|
- [ ] Import resolution issues resolved
|
|
- [ ] Basic test framework in place
|
|
- [ ] Configuration management implemented
|
|
|
|
### Phase 2 Success
|
|
- [ ] Performance improvements measured
|
|
- [ ] Test coverage >80%
|
|
- [ ] Paper trading mode functional
|
|
- [ ] Async operations implemented
|
|
|
|
### Phase 3 Success
|
|
- [ ] Monitoring dashboard operational
|
|
- [ ] Alerting system functional
|
|
- [ ] Documentation complete
|
|
- [ ] Developer experience improved
|
|
|
|
### Phase 4 Success
|
|
- [ ] Production deployment ready
|
|
- [ ] Advanced features working
|
|
- [ ] Performance benchmarks met
|
|
- [ ] Security audit passed
|
|
|
|
## Resource Requirements
|
|
|
|
### Development Team
|
|
- **Senior Python Developer**: Lead architecture and security
|
|
- **Backend Developer**: Performance and database optimization
|
|
- **DevOps Engineer**: Deployment and monitoring
|
|
- **QA Engineer**: Testing framework and automation
|
|
|
|
### Tools & Services
|
|
- **Development**: PyCharm/VSCode, Git, Docker
|
|
- **Testing**: Pytest, Mock, Coverage tools
|
|
- **Monitoring**: Prometheus, Grafana, AlertManager
|
|
- **CI/CD**: GitHub Actions, Docker Hub
|
|
- **Documentation**: Sphinx/MkDocs, ReadTheDocs
|
|
|
|
### Infrastructure
|
|
- **Development**: Local development environment
|
|
- **Testing**: Staging environment with test data
|
|
- **Production**: Cloud deployment with monitoring
|
|
- **Backup**: Automated backup and recovery system
|
|
|
|
## Timeline Summary
|
|
|
|
| Phase | Duration | Key Deliverables |
|
|
|-------|----------|------------------|
|
|
| Phase 1 | 2 weeks | Security fixes, basic testing, configuration |
|
|
| Phase 2 | 2 weeks | Performance optimization, comprehensive testing |
|
|
| Phase 3 | 2 weeks | Monitoring, documentation, developer tools |
|
|
| Phase 4 | 2 weeks | Advanced features, production deployment |
|
|
| **Total** | **8 weeks** | **Production-ready trading system** |
|
|
|
|
This roadmap provides a structured approach to transforming the trading bot into a robust, scalable, and maintainable system suitable for production use. |