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