# Implementation Plan - [x] 1. Set up project structure and base templates - Create directory structure for templates, static files, and core modules - Create base HTML template with dark theme styling - Set up Flask/Dash application skeleton with template rendering - _Requirements: 7.1, 7.2, 7.3_ - [ ] 2. Implement data loading and caching layer - [ ] 2.1 Create HistoricalDataLoader class - Integrate with existing DataProvider for multi-timeframe data access - Implement data caching for frequently accessed time ranges - Add pagination support for large time ranges - _Requirements: 2.1, 2.2, 2.3_ - [ ] 2.2 Implement TimeRangeManager - Handle time range calculations for different timeframes - Implement data prefetching for smooth scrolling - Add boundary detection for available data - _Requirements: 2.5, 2.6_ - [ ] 3. Build multi-timeframe chart visualization - [ ] 3.1 Create ChartManager JavaScript class - Initialize Plotly charts for multiple timeframes - Implement candlestick rendering with OHLCV data - Add volume bars below price charts - _Requirements: 1.1, 1.2, 9.4_ - [ ] 3.2 Implement chart synchronization - Synchronize time navigation across all timeframe charts - Implement crosshair cursor with price/time display - Add zoom and pan functionality - _Requirements: 1.3, 9.1, 9.2_ - [ ] 3.3 Add chart interaction features - Implement hover tooltips with OHLCV details - Add drawing tools (horizontal lines, trend lines) - Implement full-screen mode support - _Requirements: 1.4, 9.3, 9.7_ - [ ] 4. Implement time navigation system - [ ] 4.1 Create TimeNavigator JavaScript class - Implement date/time picker for direct navigation - Add horizontal scrolling with dynamic data loading - Implement keyboard shortcuts for navigation - _Requirements: 2.1, 2.2, 2.6_ - [ ] 4.2 Add navigation controls UI - Create control panel template with navigation buttons - Add time range selector (1h, 4h, 1d, 1w, custom) - Implement loading indicators for data fetching - _Requirements: 2.3, 2.4_ - [ ] 5. Build trade annotation system - [ ] 5.1 Create AnnotationManager JavaScript class - Implement click handling for marking entry points - Add logic for marking exit points after entry - Calculate and display profit/loss percentage - _Requirements: 3.1, 3.2, 3.4_ - [ ] 5.2 Implement annotation visualization - Add visual markers for entry/exit points on charts - Draw connecting lines between entry and exit - Display P&L percentage on annotation - _Requirements: 3.3, 3.6_ - [ ] 5.3 Add annotation editing and deletion - Implement click handling on existing annotations - Add edit mode for modifying annotations - Implement delete confirmation dialog - _Requirements: 3.5_ - [ ] 6. Implement annotation storage and management - [ ] 6.1 Create AnnotationManager Python class - Implement TradeAnnotation dataclass - Add JSON-based storage for annotations - Implement CRUD operations (create, read, update, delete) - _Requirements: 3.7, 8.1, 8.2_ - [ ] 6.2 Add annotation validation - Validate entry/exit timestamps and prices - Ensure exit is after entry - Validate profit/loss calculations - _Requirements: 3.7_ - [ ] 6.3 Implement annotation listing UI - Create annotation list template - Display all annotations with filtering options - Add search and sort functionality - _Requirements: 8.3_ - [ ] 7. Build test case generation system - [ ] 7.1 Implement test case generator - Create method to extract market state at entry/exit points - Build BaseDataInput structure from historical data - Generate test case in realtime format - _Requirements: 4.1, 4.2, 4.3_ - [ ] 7.2 Add market context extraction - Extract OHLCV data for all timeframes at annotation time - Include COB data if available - Add technical indicators and pivot points - _Requirements: 4.2_ - [ ] 7.3 Implement test case storage - Save generated test cases to designated directory - Add versioning support for test cases - Implement batch export functionality - _Requirements: 4.4, 4.5, 4.6_ - [ ] 8. Integrate model loading and management - [ ] 8.1 Create TrainingSimulator class - Integrate with TradingOrchestrator for model access - Implement model loading from checkpoints - Add model caching to avoid repeated loading - _Requirements: 5.1, 5.2_ - [ ] 8.2 Build model selection UI - Create template for model selection dropdown - Display model metadata (version, training date, metrics) - Add model refresh button - _Requirements: 5.2_ - [ ] 9. Implement training execution system - [ ] 9.1 Create training controller - Implement training session management - Add training progress tracking - Handle training errors and recovery - _Requirements: 5.3, 5.4_ - [ ] 9.2 Build training UI panel - Create training panel template - Add training progress bar and metrics display - Implement real-time loss/accuracy updates - _Requirements: 5.4_ - [ ] 9.3 Add training result storage - Save training results and metrics - Store checkpoint paths - Implement training history tracking - _Requirements: 5.5_ - [ ] 10. Build inference simulation system - [ ] 10.1 Implement inference simulator - Create method to replay annotated time period - Generate model predictions at each timestep - Compare predictions against annotations - _Requirements: 6.1, 6.2, 6.3_ - [ ] 10.2 Add inference visualization - Display model predictions on charts with distinct markers - Highlight correct vs incorrect predictions - Show prediction confidence levels - _Requirements: 6.2, 6.5, 6.6_ - [ ] 10.3 Implement performance metrics calculation - Calculate accuracy, precision, recall, F1 score - Generate confusion matrix - Display metrics in UI - _Requirements: 6.4_ - [ ] 10.4 Add playback controls - Implement playback speed control (1x, 2x, 5x, 10x) - Add pause/resume functionality - Implement step-by-step mode - _Requirements: 6.7_ - [ ] 11. Implement configuration and symbol management - [ ] 11.1 Create configuration UI - Add symbol selection dropdown - Implement timeframe enable/disable checkboxes - Add configuration save/load functionality - _Requirements: 10.1, 10.2, 10.3_ - [ ] 11.2 Add data source configuration - Support multiple exchange data sources - Display data availability per symbol/timeframe - Handle missing data gracefully - _Requirements: 10.4, 10.5, 10.6_ - [ ] 12. Implement session persistence - [ ] 12.1 Add auto-save functionality - Implement automatic annotation saving - Save UI state (position, zoom level, selected timeframes) - Add periodic backup of annotations - _Requirements: 8.1, 8.4_ - [ ] 12.2 Implement session restoration - Restore UI state on page load - Load previous annotations - Restore chart position and zoom - _Requirements: 8.3_ - [ ] 12.3 Add export functionality - Implement JSON export for annotations - Add CSV export option - Support batch export of multiple annotations - _Requirements: 8.6_ - [ ] 13. Add error handling and validation - [ ] 13.1 Implement client-side error handling - Add network error retry logic with exponential backoff - Validate annotations before sending to server - Handle chart rendering errors with fallback - _Requirements: 3.7, 8.1_ - [ ] 13.2 Implement server-side error handling - Add comprehensive error logging - Return structured error responses - Implement transaction rollback for storage errors - _Requirements: 4.4, 5.3, 5.6_ - [ ] 13.3 Add user-friendly error messages - Display clear error messages in UI - Provide troubleshooting suggestions - Add error recovery options - _Requirements: 2.5, 10.5_ - [ ] 14. Optimize performance - [ ] 14.1 Implement data loading optimizations - Add lazy loading for historical data - Implement data compression for network transfer - Add pagination for large time ranges - _Requirements: 2.2, 2.3_ - [ ] 14.2 Optimize chart rendering - Implement downsampling for distant time ranges - Add virtual scrolling for large datasets - Use Plotly WebGL for improved performance - _Requirements: 1.1, 1.2_ - [ ] 14.3 Optimize training and inference - Implement batch processing for test cases - Leverage GPU when available - Stream training progress to UI - _Requirements: 5.3, 6.1_ - [ ] 15. Add styling and responsive design - [ ] 15.1 Create dark theme CSS - Implement dark theme color scheme - Style all UI components consistently - Add hover and active states - _Requirements: 7.6, 9.5_ - [ ] 15.2 Implement responsive layout - Make UI responsive for different screen sizes - Optimize for desktop use (primary target) - Test on different browsers - _Requirements: 9.5_ - [ ] 16. Integration testing and documentation - [ ] 16.1 Test end-to-end annotation flow - Test creating annotations from chart clicks - Verify test case generation - Test training with generated test cases - Verify inference simulation - _Requirements: All requirements_ - [ ] 16.2 Test multi-timeframe synchronization - Verify all timeframes stay synchronized - Test navigation across timeframes - Verify data consistency - _Requirements: 1.3, 2.3_ - [ ] 16.3 Create user documentation - Write user guide for annotation workflow - Document keyboard shortcuts - Add troubleshooting guide - _Requirements: All requirements_