Julian Pawlowski a4ad506e01 feat(sensor): use dynamic precision for price rounding and display ... Add get_display_precision() to const.py returning DISPLAY_PRECISION_SUBUNIT (2) or DISPLAY_PRECISION_BASE (4) based on config. Replace hardcoded round(..., 2) with get_display_precision() in all calculators and attribute builders. Add _update_suggested_precision() to sensor core; syncs entity registry suggested_display_precision on every coordinator update. Interval price sensors get full precision (2 or 4 dp); other MONETARY sensors get half precision (1 or 2 dp) as sensible default. Impact: Price sensor states and attributes now correctly use 4 decimal places in base-currency mode (was always 2). Display precision in dashboards updates automatically when currency mode changes.		2026-04-14 19:28:19 +00:00
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__init__.py	feat(sensor): add next/previous/rolling-hour price rank sensors	2026-04-12 15:02:27 +00:00
daily_stat.py	feat(sensor): use dynamic precision for price rounding and display	2026-04-14 19:28:19 +00:00
future.py	feat(sensor): use dynamic precision for price rounding and display	2026-04-14 19:28:19 +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	feat(sensor): use dynamic precision for price rounding and display	2026-04-14 19:28:19 +00:00
lifecycle.py	fix(sensor): streamline lifecycle attrs and next poll visibility	2025-12-26 12:13:36 +00:00
metadata.py	feat(sensors): add day pattern detection sensors (valley/peak/flat/rising/falling)	2026-04-11 21:07:16 +00:00
timing.py	fix(lint): apply Python 3.14 ruff rules and update HA minimum version	2026-04-11 10:56:34 +00:00
trend.py	feat(sensors)!: rename trend change countdown sensor for naming consistency	2026-04-10 09:08:27 +00:00
volatility.py	feat(sensor): add price rank sensors and IQR-based volatility attributes	2026-04-12 14:13:47 +00:00
window_24h.py	feat(sensors)!: add configurable median/mean display for average sensors	2025-12-08 17:53:40 +00:00