ADVANCED SYSTEM KNOWLEDGE:
- Superior parallel screenshot system (60% performance gain)
- AI learning system architecture and decision flow
- Orphaned order cleanup integration patterns
- Critical technical fixes and troubleshooting guide
- Database schema best practices
- Memory leak prevention strategies
- AI learning system patterns and functions
- Error handling best practices for trading systems
- Integration patterns for position monitoring
- Performance optimization rules
- UI/UX consistency requirements
- Critical anti-patterns to avoid
- Added links to new knowledge base documents
- Comprehensive documentation structure
- Development guides and best practices
- Performance optimizations summary
- 60% screenshot performance improvement techniques
- AI learning system that adapts trading decisions
- Container stability and crash prevention
- Frontend-backend consistency requirements
- Integration strategies for existing infrastructure
This documentation preserves critical insights from complex debugging sessions and provides patterns for future development.
- Updated README.md with automation features and Docker troubleshooting
- Enhanced copilot-instructions.md with multi-timeframe patterns and Docker workflows
- Created DEVELOPMENT_GUIDE.md with comprehensive implementation patterns
- Added troubleshooting section for volume mount issues
- Documented fresh implementation approach vs file editing
- Included performance optimization tips and future roadmap
- Added testing strategies and common pitfall solutions
Key knowledge preserved:
- Multi-timeframe UI patterns and state management
- Docker Compose v2 syntax and volume mount troubleshooting
- Fresh file creation approach for problematic edits
- Complete automation page implementation examples
- Add TECHNICAL_ANALYSIS_BASICS.md with complete indicator explanations
- Add TA_QUICK_REFERENCE.md for quick lookup
- Enhance AI analysis prompts with TA principles integration
- Improve JSON response structure with dedicated analysis sections
- Add cross-layout consensus analysis for higher confidence signals
- Include timeframe-specific risk assessment and position sizing
- Add educational content for RSI, MACD, EMAs, Stochastic RSI, VWAP, OBV
- Implement layout-specific analysis (AI vs DIY layouts)
- Add momentum, trend, and volume analysis separation
- Update README with TA documentation references
- Create implementation summary and test files
- Complete project overview with features and capabilities
- Quick start instructions for Docker and Node.js deployment
- Configuration details and environment variables
- Usage examples with API calls and expected outputs
- Tech stack and project structure documentation
- Testing instructions and expected results
- Performance metrics and cost information
- Security best practices and contributing guidelines
- Ready for production deployment and new location setup
