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3.4 -2.0 Indicator Layer System Implementation

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Implement modular chart layers and error handling for Crypto Trading Bot Dashboard

- Introduced a comprehensive chart layer system in `components/charts/layers/` to support various technical indicators and subplots.
- Added base layer components including `BaseLayer`, `CandlestickLayer`, and `VolumeLayer` for flexible chart rendering.
- Implemented overlay indicators such as `SMALayer`, `EMALayer`, and `BollingerBandsLayer` with robust error handling.
- Created subplot layers for indicators like `RSILayer` and `MACDLayer`, enhancing visualization capabilities.
- Developed a `MarketDataIntegrator` for seamless data fetching and validation, improving data quality assurance.
- Enhanced error handling utilities in `components/charts/error_handling.py` to manage insufficient data scenarios effectively.
- Updated documentation to reflect the new chart layer architecture and usage guidelines.
- Added unit tests for all chart layer components to ensure functionality and reliability.
This commit is contained in:
Vasily.onl
2025-06-03 13:56:15 +08:00
parent 371c0a4591
commit a969defe1f
11 changed files with 4251 additions and 90 deletions
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tasks/3.4. Chart layers.md
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@@ -12,8 +12,8 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- `components/charts/config/indicator_defs.py` - Base indicator definitions, schemas, and default parameters
- `components/charts/config/strategy_charts.py` - Strategy-specific chart configurations and presets
- `components/charts/config/defaults.py` - Default chart configurations and fallback settings
- `components/charts/layers/__init__.py` - Chart layers package initialization
- `components/charts/layers/base.py` - Base candlestick chart layer implementation
- `components/charts/layers/__init__.py` - Chart layers package initialization with base layer exports
- `components/charts/layers/base.py` - Base layer system with CandlestickLayer, VolumeLayer, and LayerManager
- `components/charts/layers/indicators.py` - Indicator overlay rendering (SMA, EMA, Bollinger Bands)
- `components/charts/layers/subplots.py` - Subplot management for indicators like RSI and MACD
- `components/charts/layers/signals.py` - Strategy signal overlays and trade markers (future bot integration)
@@ -42,15 +42,15 @@ Implementation of a flexible, strategy-driven chart system that supports technic
- [x] 1.5 Setup backward compatibility with existing components/charts.py API
- [x] 1.6 Create basic unit tests for ChartBuilder class
- [ ] 2.0 Indicator Layer System Implementation
- [ ] 2.1 Create base candlestick chart layer with volume subplot
- [ ] 2.2 Implement overlay indicator rendering (SMA, EMA)
- [ ] 2.3 Add Bollinger Bands overlay functionality
- [ ] 2.4 Create subplot management system for secondary indicators
- [ ] 2.5 Implement RSI subplot with proper scaling and styling
- [ ] 2.6 Add MACD subplot with signal line and histogram
- [ ] 2.7 Create indicator calculation integration with market data
- [ ] 2.8 Add error handling for insufficient data scenarios
- [x] 2.0 Indicator Layer System Implementation
- [x] 2.1 Create base candlestick chart layer with volume subplot
- [x] 2.2 Implement overlay indicator rendering (SMA, EMA)
- [x] 2.3 Add Bollinger Bands overlay functionality
- [x] 2.4 Create subplot management system for secondary indicators
- [x] 2.5 Implement RSI subplot with proper scaling and styling
- [x] 2.6 Add MACD subplot with signal line and histogram
- [x] 2.7 Create indicator calculation integration with market data
- [x] 2.8 Add comprehensive error handling for insufficient data scenarios
- [ ] 2.9 Unit test all indicator layer components
- [ ] 3.0 Strategy Configuration System