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Add calculate_coefficient_of_variation() as central utility function: - CV = (std_dev / mean) * 100 as standardized volatility measure - calculate_volatility_with_cv() returns both level and numeric CV - Volatility sensors now expose CV in attributes for transparency Used as foundation for quality gates, adaptive smoothing, and period statistics. Impact: Volatility sensors show numeric CV percentage alongside categorical level, enabling users to see exact price variation. |
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| .. | ||
| __init__.py | ||
| average.py | ||
| price.py | ||