2.9 Implement unit tests for data collection and aggregation logic
- Marked task 2.9 as complete in the project documentation by adding comprehensive unit tests for data collection and aggregation functionality. - Created `test_data_collection_aggregation.py` to cover OKX data collection, real-time candle aggregation, data validation, and transformation. - Included tests for error handling, edge cases, and performance to ensure robustness and reliability of the data processing components. - Enhanced documentation within the test module to provide clarity on the testing approach and coverage.
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- [x] 2.6 Add technical indicators calculation (SMA, EMA, RSI, MACD, Bollinger Bands)
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- [x] 2.7 Implement data recovery and reconnection logic for API failures (DEFERRED: Basic reconnection exists, comprehensive historical data recovery moved to section 13.0 for future implementation)
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- [x] 2.8 Create data collection service with proper logging
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- [ ] 2.9 Unit test data collection and aggregation logic
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- [x] 2.9 Unit test data collection and aggregation logic
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- [ ] 3.0 Basic Dashboard for Data Visualization and Analysis
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- [ ] 3.1 Setup Dash application framework with Mantine UI components
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