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