jpawlowski/hass.tibber_prices
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hass.tibber_prices/custom_components/tibber_prices/sensor
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Julian Pawlowski 325d855997 feat(utils): add coefficient of variation (CV) calculation 
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.
2025-12-22 23:21:38 +00:00
..
attributes feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
calculators feat(utils): add coefficient of variation (CV) calculation 2025-12-22 23:21:38 +00:00
__init__.py refactor(currency)!: rename major/minor to base/subunit currency terminology 2025-12-11 08:26:30 +00:00
chart_data.py feat(sensors): add chart_metadata sensor for lightweight chart configuration 2025-12-05 20:30:54 +00:00
chart_metadata.py fix: support main and subunit currency 2025-12-11 23:07:06 +00:00
core.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
definitions.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
helpers.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
types.py feat(types): add TypedDict documentation and BaseCalculator helpers 2025-11-22 14:32:24 +00:00
value_getters.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00