| --- |
| language: en |
| tags: |
| - financial-analysis |
| - pattern-recognition |
| - technical-analysis |
| - trading |
| license: apache-2.0 |
| datasets: |
| - financial-timeseries |
| metrics: |
| - accuracy |
| - precision |
| --- |
| |
| # 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 |
| 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% |
|
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| ## License |
| Apache-2.0 |
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