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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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