---
language: en
tags:
  - financial-analysis
  - pattern-recognition
  - technical-analysis
  - trading
license: apache-2.0
datasets:
  - financial-timeseries
metrics:
  - accuracy
  - precision
---

# 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