diff --git a/docs/user/docs/sensors-volatility.md b/docs/user/docs/sensors-volatility.md
index 2994c4e..0ba2c4b 100644
--- a/docs/user/docs/sensors-volatility.md
+++ b/docs/user/docs/sensors-volatility.md
@@ -156,6 +156,15 @@ Price rank (percentile rank) = (number of intervals strictly cheaper than subjec
The cheapest interval always returns 0% — you can use `state == 0` to detect the absolute cheapest moment.
+:::note 100% is never reached
+By design, **the most expensive interval of the day will never show 100%**. The formula counts how many intervals are *strictly cheaper* than the subject price. For the daily maximum, every other interval is cheaper — but the interval itself is not counted. With 96 quarter-hour intervals per day, the maximum value is 95 ÷ 96 × 100 = **99.0%**.
+
+This means:
+- `state == 0` → cheapest interval of the reference set ✅
+- `state == 100` → **never true** ❌
+- `state >= 99` → most expensive interval of the day ✅ (use this instead)
+:::
+
### Available Sensors
**Current interval** (price of the active quarter-hour):
@@ -259,6 +268,23 @@ automation:
+
+Show YAML: Avoid running devices at the most expensive time of day
+
+```yaml
+automation:
+ - alias: "Pause non-essential devices at peak price"
+ trigger:
+ - platform: numeric_state
+ entity_id: sensor._current_price_rank_today
+ above: 99 # 100 is never reached — use >= 99 to catch the daily maximum
+ action:
+ - service: switch.turn_off
+ entity_id: switch.dishwasher
+```
+
+
+
Show YAML: Pre-heat when the next interval is cheap