kcw
Keltner Channels Width (percentage)
kcw(source, length, mult, matype="ema", atr_length=..., atr_matype="wilder", bandstyle="atr")
Parameters
| Name | Type | Description |
|---|---|---|
source |
field | Price field for middle line calculation (typically close) |
length |
int | Period for middle line MA calculation |
mult |
float | Multiplier for band width |
matype |
str, optional | MA type for middle line |
atr_length |
int, optional | Period for volatility calculation |
atr_matype |
str, optional | MA type for ATR smoothing |
bandstyle |
str, optional | Volatility measurement method |
Formula
```
middle = MA(source, length, matype)
upper = kc_upper(source, length, mult, ...)
lower = kc_lower(source, length, mult, ...)
width = ((upper - lower) / middle) * 100
```Examples
kcw_value = kcw(close, 20, 2.0);
kcw_value < 10; # Narrow channels (low volatility, potential breakout)
kcw_value > 30; # Wide channels (high volatility)
# Squeeze detection (compare with Bollinger Bands Width)
kc_width = kcw(close, 20, 2.0);
bb_width = bb_width(close, 20, 2.0);
kc_width < bb_width; # Squeeze conditionReturns
Float value representing channel width as percentage of middle line - Higher values indicate higher volatility (wider channels) - Lower values indicate lower volatility (narrower channels) - Useful for identifying volatility contraction/expansion ## References - TradingView: `ta.kcw(source, length, mult, useTrueRange)` - Derived from Keltner Channels - Often used with BBW for squeeze detection ## Notes - Width expressed as percentage for cross-asset comparisons - Low values often precede significant price moves - Can be used to filter trend-following signals - All kwargs are passed through to KC upper/lower/middle calculations