Julian Pawlowski 91efeed90f feat(sensors): add trend_change_in_minutes countdown sensor ... New duration sensor showing time until next price trend change as hours (e.g., 2.25 h). Registered in MINUTE_UPDATE_ENTITY_KEYS for per-minute updates. Shares cached attributes with next_price_trend_change timestamp sensor. Added trend attributes to _unrecorded_attributes (threshold/volatility/diff attributes excluded from recorder). Updated timer group size test expectation from 6 to 7. Impact: Users can display a live countdown to the next trend change on dashboards and use it in automations (e.g., "if < 0.25 h, prepare").		2026-04-07 13:44:22 +00:00
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__init__.py	fix(sensor): best price calculation on v-shaped days	2026-04-06 11:13:09 +00:00
daily_stat.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00
future.py	fix(sensor): best price calculation on v-shaped days	2026-04-06 11:13:09 +00:00
helpers.py	feat(sensors): always show both mean and median in average sensor attributes	2025-12-18 15:12:30 +00:00
interval.py	fix(sensor): synchronize current_interval_price_base with current_interval_price	2025-12-26 16:23:05 +00:00
lifecycle.py	fix(sensor): streamline lifecycle attrs and next poll visibility	2025-12-26 12:13:36 +00:00
metadata.py	refactor(price_info): price data handling to use unified interval retrieval	2025-11-24 10:49:34 +00:00
timing.py	feat(sensor): convert timing sensors to hour-based display with minute attributes	2025-12-26 16:03:00 +00:00
trend.py	feat(sensors): add trend_change_in_minutes countdown sensor	2026-04-07 13:44:22 +00:00
volatility.py	fix(periods): Periods are now correctly recalculated after tomorrow prices became available.	2025-12-09 16:57:57 +00:00
window_24h.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00