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remove emojis from console

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Dobromir Popov
2025-10-25 16:35:08 +03:00
parent 5aa4925cff
commit b8f54e61fa
75 changed files with 828 additions and 828 deletions
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.kiro/specs/1.multi-modal-trading-system/design.md
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@@ -83,7 +83,7 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
- `HeatmapData`: Visualization-ready heatmap data
- `ConnectionStatus`: Exchange connection monitoring
**Current Status**: ✅ Fully implemented and operational
**Current Status**: Fully implemented and operational
#### Layer 2: Core DataProvider (Real-Time Trading Operations)
@@ -130,7 +130,7 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
- `DataSubscriber`: Subscriber information
- `SimplePivotLevel`: Fallback pivot structure
**Current Status**: ✅ Fully implemented with ongoing enhancements
**Current Status**: Fully implemented with ongoing enhancements
#### Layer 3: StandardizedDataProvider (Unified Model Interface)
@@ -181,26 +181,26 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
- Data completeness scoring
- Validation before model inference
**Current Status**: ✅ Implemented with enhancements needed for heatmap integration
**Current Status**: Implemented with enhancements needed for heatmap integration
#### Implementation Details
**Existing Strengths**:
- ✅ Robust automatic data maintenance with background workers
- ✅ Williams Market Structure with 5-level pivot analysis
- ✅ Real-time COB streaming with multiple Binance streams
- ✅ Thread-safe data access and subscriber management
- ✅ Comprehensive error handling and fallback mechanisms
- ✅ Pivot-based normalization for improved model training
- ✅ Centralized model output storage for cross-feeding
- Robust automatic data maintenance with background workers
- Williams Market Structure with 5-level pivot analysis
- Real-time COB streaming with multiple Binance streams
- Thread-safe data access and subscriber management
- Comprehensive error handling and fallback mechanisms
- Pivot-based normalization for improved model training
- Centralized model output storage for cross-feeding
**Areas for Enhancement**:
- ❌ Unified integration between COBY and core DataProvider
- ❌ COB heatmap matrix generation for model inputs
- ❌ Configurable price ranges for COB imbalance calculation
- ❌ Comprehensive data quality scoring and monitoring
- ❌ Missing data interpolation strategies
- ❌ Enhanced validation with detailed error reporting
- Unified integration between COBY and core DataProvider
- COB heatmap matrix generation for model inputs
- Configurable price ranges for COB imbalance calculation
- Comprehensive data quality scoring and monitoring
- Missing data interpolation strategies
- Enhanced validation with detailed error reporting
### Standardized Model Input/Output Format