3.1 - 3.3 Add main Dash application for Crypto Trading Bot Dashboard
- Introduced `app.py` as the main entry point for the dashboard, providing real-time visualization and bot management interface. - Implemented layout components including header, navigation tabs, and content areas for market data, bot management, performance analytics, and system health. - Added callbacks for dynamic updates of market data charts and statistics, ensuring real-time interaction. - Created reusable UI components in `components` directory for modularity and maintainability. - Enhanced database operations for fetching market data and checking data availability. - Updated `main.py` to start the dashboard application with improved user instructions and error handling. - Documented components and functions for clarity and future reference.
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@@ -77,9 +77,9 @@
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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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- [ ] 3.2 Create basic layout and navigation structure
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- [ ] 3.3 Implement real-time OHLCV price charts with Plotly (candlestick charts)
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- [x] 3.1 Setup Dash application framework with Mantine UI components
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- [x] 3.2 Create basic layout and navigation structure
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- [x] 3.3 Implement real-time OHLCV price charts with Plotly (candlestick charts)
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- [ ] 3.4 Add technical indicators overlay on price charts (SMA, EMA, RSI, MACD)
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- [ ] 3.5 Create market data monitoring dashboard (real-time data feed status)
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- [ ] 3.6 Build simple data analysis tools (volume analysis, price movement statistics)
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