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@@ -13,19 +13,19 @@ Comprehensive audit of the multi-modal trading system revealed a **strong, well-
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┌─────────────────────────────────────────────────────────────┐
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│ COBY System (Standalone) │
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│ Multi-Exchange Aggregation │ TimescaleDB │ Redis Cache │
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│ Status: ✅ Fully Operational │
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│ Status: Fully Operational │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ Core DataProvider (core/data_provider.py) │
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│ Automatic Maintenance │ Williams Pivots │ COB Integration │
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│ Status: ✅ Implemented, Needs Enhancement │
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│ Status: Implemented, Needs Enhancement │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ StandardizedDataProvider (core/standardized_data_provider.py) │
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│ BaseDataInput │ ModelOutputManager │ Unified Interface │
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│ Status: ✅ Implemented, Needs Heatmap Integration │
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│ Status: Implemented, Needs Heatmap Integration │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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@@ -35,7 +35,7 @@ Comprehensive audit of the multi-modal trading system revealed a **strong, well-
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## Key Findings
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### ✅ Strengths (Fully Implemented)
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### Strengths (Fully Implemented)
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1. **COBY System**
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- Standalone multi-exchange data aggregation
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@@ -82,7 +82,7 @@ Comprehensive audit of the multi-modal trading system revealed a **strong, well-
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- Live price fetching with multiple fallbacks
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- **Status**: Core functionality complete
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### ⚠️ Partial Implementations (Needs Validation)
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### Partial Implementations (Needs Validation)
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1. **COB Raw Tick Storage**
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- Structure exists (30 min buffer)
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@@ -99,7 +99,7 @@ Comprehensive audit of the multi-modal trading system revealed a **strong, well-
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- No unified interface yet
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- Needs adapter layer
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### ❌ Areas Needing Enhancement
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### Areas Needing Enhancement
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1. **COB Data Collection Robustness**
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- **Issue**: NoneType errors in `_cob_aggregation_worker`
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@@ -197,23 +197,23 @@ Dashboard / External Consumers
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## Code Quality Assessment
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### Excellent
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- ✅ Comprehensive error handling in EnhancedCOBWebSocket
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- ✅ Thread-safe data access patterns
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- ✅ Clear separation of concerns across layers
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- ✅ Extensive logging for debugging
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- ✅ Proper use of dataclasses for type safety
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- Comprehensive error handling in EnhancedCOBWebSocket
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- Thread-safe data access patterns
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- Clear separation of concerns across layers
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- Extensive logging for debugging
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- Proper use of dataclasses for type safety
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### Good
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- ✅ Automatic data maintenance workers
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- ✅ Fallback mechanisms for API failures
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- ✅ Subscriber pattern for data distribution
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- ✅ Pivot-based normalization system
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- Automatic data maintenance workers
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- Fallback mechanisms for API failures
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- Subscriber pattern for data distribution
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- Pivot-based normalization system
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### Needs Improvement
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- ⚠️ Defensive programming in COB aggregation
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- ⚠️ Configuration management (hardcoded values)
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- ⚠️ Comprehensive input validation
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- ⚠️ Data quality monitoring
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- Defensive programming in COB aggregation
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- Configuration management (hardcoded values)
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- Comprehensive input validation
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- Data quality monitoring
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## Recommendations
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@@ -83,7 +83,7 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
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- `HeatmapData`: Visualization-ready heatmap data
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- `ConnectionStatus`: Exchange connection monitoring
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**Current Status**: ✅ Fully implemented and operational
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**Current Status**: Fully implemented and operational
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#### Layer 2: Core DataProvider (Real-Time Trading Operations)
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@@ -130,7 +130,7 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
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- `DataSubscriber`: Subscriber information
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- `SimplePivotLevel`: Fallback pivot structure
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**Current Status**: ✅ Fully implemented with ongoing enhancements
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**Current Status**: Fully implemented with ongoing enhancements
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#### Layer 3: StandardizedDataProvider (Unified Model Interface)
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@@ -181,26 +181,26 @@ The Data Provider backbone is the foundation of the system, implemented as a mul
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- Data completeness scoring
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- Validation before model inference
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**Current Status**: ✅ Implemented with enhancements needed for heatmap integration
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**Current Status**: Implemented with enhancements needed for heatmap integration
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#### Implementation Details
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**Existing Strengths**:
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- ✅ Robust automatic data maintenance with background workers
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- ✅ Williams Market Structure with 5-level pivot analysis
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- ✅ Real-time COB streaming with multiple Binance streams
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- ✅ Thread-safe data access and subscriber management
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- ✅ Comprehensive error handling and fallback mechanisms
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- ✅ Pivot-based normalization for improved model training
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- ✅ Centralized model output storage for cross-feeding
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- Robust automatic data maintenance with background workers
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- Williams Market Structure with 5-level pivot analysis
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- Real-time COB streaming with multiple Binance streams
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- Thread-safe data access and subscriber management
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- Comprehensive error handling and fallback mechanisms
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- Pivot-based normalization for improved model training
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- Centralized model output storage for cross-feeding
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**Areas for Enhancement**:
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- ❌ Unified integration between COBY and core DataProvider
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- ❌ COB heatmap matrix generation for model inputs
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- ❌ Configurable price ranges for COB imbalance calculation
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- ❌ Comprehensive data quality scoring and monitoring
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- ❌ Missing data interpolation strategies
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- ❌ Enhanced validation with detailed error reporting
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- Unified integration between COBY and core DataProvider
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- COB heatmap matrix generation for model inputs
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- Configurable price ranges for COB imbalance calculation
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- Comprehensive data quality scoring and monitoring
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- Missing data interpolation strategies
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- Enhanced validation with detailed error reporting
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### Standardized Model Input/Output Format
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@@ -23,26 +23,26 @@ The system is designed to adapt to current market conditions through continuous
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#### Current Implementation Status
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**IMPLEMENTED:**
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- ✅ Core DataProvider with automatic data maintenance (1500 candles cached per symbol/timeframe)
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- ✅ Multi-exchange COB integration via EnhancedCOBWebSocket (Binance depth@100ms, ticker, aggTrade streams)
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- ✅ Williams Market Structure pivot point calculation with monthly data analysis
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- ✅ Pivot-based normalization system with PivotBounds caching
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- ✅ Real-time tick aggregation with RealTimeTickAggregator
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- ✅ COB 1s aggregation with price buckets ($1 for ETH, $10 for BTC)
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- ✅ Multi-timeframe imbalance calculations (1s, 5s, 15s, 60s MA)
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- ✅ Centralized data distribution with subscriber management
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- ✅ COBY standalone system with TimescaleDB storage and Redis caching
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- Core DataProvider with automatic data maintenance (1500 candles cached per symbol/timeframe)
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- Multi-exchange COB integration via EnhancedCOBWebSocket (Binance depth@100ms, ticker, aggTrade streams)
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- Williams Market Structure pivot point calculation with monthly data analysis
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- Pivot-based normalization system with PivotBounds caching
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- Real-time tick aggregation with RealTimeTickAggregator
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- COB 1s aggregation with price buckets ($1 for ETH, $10 for BTC)
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- Multi-timeframe imbalance calculations (1s, 5s, 15s, 60s MA)
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- Centralized data distribution with subscriber management
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- COBY standalone system with TimescaleDB storage and Redis caching
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**PARTIALLY IMPLEMENTED:**
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- ⚠️ COB raw tick storage (30 min buffer) - implemented but needs validation
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- ⚠️ Training data collection callbacks - structure exists but needs integration
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- ⚠️ Cross-exchange COB consolidation - COBY system separate from core
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- COB raw tick storage (30 min buffer) - implemented but needs validation
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- Training data collection callbacks - structure exists but needs integration
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- Cross-exchange COB consolidation - COBY system separate from core
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**NEEDS ENHANCEMENT:**
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- ❌ Unified integration between COBY and core DataProvider
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- ❌ Configurable price range for COB imbalance (currently hardcoded $5 ETH, $50 BTC)
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- ❌ COB heatmap matrix generation for model inputs
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- ❌ Validation of 600-bar caching for backtesting support
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- Unified integration between COBY and core DataProvider
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- Configurable price range for COB imbalance (currently hardcoded $5 ETH, $50 BTC)
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- COB heatmap matrix generation for model inputs
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- Validation of 600-bar caching for backtesting support
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#### Acceptance Criteria
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@@ -98,19 +98,19 @@ The system is designed to adapt to current market conditions through continuous
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#### Current Implementation Status
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**IMPLEMENTED:**
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- ✅ StandardizedDataProvider extending core DataProvider
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- ✅ BaseDataInput dataclass with comprehensive fields
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- ✅ OHLCVBar, COBData, PivotPoint, ModelOutput dataclasses
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- ✅ ModelOutputManager for extensible cross-model feeding
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- ✅ COB moving average calculation with thread-safe access
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- ✅ Input validation before model inference
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- ✅ Live price fetching with multiple fallbacks
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- StandardizedDataProvider extending core DataProvider
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- BaseDataInput dataclass with comprehensive fields
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- OHLCVBar, COBData, PivotPoint, ModelOutput dataclasses
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- ModelOutputManager for extensible cross-model feeding
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- COB moving average calculation with thread-safe access
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- Input validation before model inference
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- Live price fetching with multiple fallbacks
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**NEEDS ENHANCEMENT:**
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- ❌ COB heatmap matrix integration in BaseDataInput
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- ❌ Comprehensive data completeness validation
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- ❌ Automatic data quality scoring
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- ❌ Missing data interpolation strategies
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- COB heatmap matrix integration in BaseDataInput
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- Comprehensive data completeness validation
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- Automatic data quality scoring
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- Missing data interpolation strategies
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#### Acceptance Criteria
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