Implementation Plan

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

9.7 KiB Raw Blame History

Implementation Plan

9.7 KiB

Raw Blame History