Pattern Analysis Model
A specialized financial pattern recognition model optimized for technical analysis in trading charts.
Model Description
This model identifies technical patterns in financial market data with high precision, focusing on:
- Price action patterns
- Chart formations
- Support/Resistance levels
- Trend analysis
- Volume analysis
Model Details
- Architecture: CodeLlama Base
- Training Focus: Technical pattern recognition
- Input: OHLCV data
- Output: Pattern analysis with confidence scores
- Context Window: 4096 tokens
- Quantization: 8-bit
- Memory Requirements: 8GB RAM minimum
Pattern Recognition Capabilities
- Channel Patterns (>= 4 points)
- Triangle Formations (>= 3 points)
- Support/Resistance (>= 2 touches)
- Double Top/Bottom (2% max deviation)
- Trend Line Analysis
- Volume Profile Analysis
Performance Metrics
- Minimum Confidence Threshold: 0.8
- Pattern Accuracy: >85%
- False Signal Rejection: >90%
License
Apache-2.0
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