feat: add length->period kwargs alias across all 168 indicator functions for pandas-ta compat

python/quantalib/channels.py

@@ -36,7 +36,7 @@ __all__ = [
 
 def aberr(close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Aberration Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     src, idx = _arr(close)
@@ -50,7 +50,7 @@ def aberr(close: object, period: int = 14, multiplier: float = 2.0, offset: int
 
 def accbands(high: object, low: object, close: object, period: int = 14, factor: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Acceleration Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     factor = float(factor)
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
@@ -64,7 +64,7 @@ def accbands(high: object, low: object, close: object, period: int = 14, factor:
 
 def apz(open: object, high: object, low: object, close: object, volume: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Adaptive Price Zone."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
@@ -79,7 +79,7 @@ def apz(open: object, high: object, low: object, close: object, volume: object,
 
 def dchannel(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Donchian Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -92,7 +92,7 @@ def dchannel(high: object, low: object, period: int = 14, offset: int = 0, **kwa
 
 def decaychannel(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Decay Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -105,7 +105,7 @@ def decaychannel(high: object, low: object, period: int = 14, offset: int = 0, *
 
 def fcb(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Fractal Chaos Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -118,7 +118,7 @@ def fcb(high: object, low: object, period: int = 14, offset: int = 0, **kwargs)
 
 def jbands(close: object, period: int = 14, phase: int = 0, offset: int = 0, **kwargs) -> object:
     """J-Line Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     phase = int(phase)
     offset = int(offset)
     src, idx = _arr(close)
@@ -132,7 +132,7 @@ def jbands(close: object, period: int = 14, phase: int = 0, offset: int = 0, **k
 
 def kchannel(high: object, low: object, close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Keltner Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
@@ -146,7 +146,7 @@ def kchannel(high: object, low: object, close: object, period: int = 14, multipl
 
 def maenv(close: object, period: int = 14, percentage: float = 2.5, maType: int = 0, offset: int = 0, **kwargs) -> object:
     """Moving Average Envelope."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     percentage = float(percentage)
     maType = int(maType)
     offset = int(offset)
@@ -161,7 +161,7 @@ def maenv(close: object, period: int = 14, percentage: float = 2.5, maType: int
 
 def mmchannel(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Min-Max Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -173,7 +173,7 @@ def mmchannel(high: object, low: object, period: int = 14, offset: int = 0, **kw
 
 def pchannel(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Price Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -186,7 +186,7 @@ def pchannel(high: object, low: object, period: int = 14, offset: int = 0, **kwa
 
 def regchannel(close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Regression Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     src, idx = _arr(close)
@@ -200,7 +200,7 @@ def regchannel(close: object, period: int = 14, multiplier: float = 2.0, offset:
 
 def sdchannel(close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Standard Deviation Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     src, idx = _arr(close)
@@ -214,7 +214,7 @@ def sdchannel(close: object, period: int = 14, multiplier: float = 2.0, offset:
 
 def starchannel(high: object, low: object, close: object, period: int = 14, multiplier: float = 2.0, atrPeriod: int = 22, offset: int = 0, **kwargs) -> object:
     """Stoller Average Range Channel (STARC)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     atrPeriod = int(atrPeriod)
     offset = int(offset)
@@ -229,7 +229,7 @@ def starchannel(high: object, low: object, close: object, period: int = 14, mult
 
 def stbands(high: object, low: object, close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """SuperTrend Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
@@ -243,7 +243,7 @@ def stbands(high: object, low: object, close: object, period: int = 14, multipli
 
 def ttm_lrc(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """TTM Linear Regression Channel."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -258,7 +258,7 @@ def ttm_lrc(close: object, period: int = 14, offset: int = 0, **kwargs) -> objec
 
 def ubands(close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Upper/Lower Bands."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     src, idx = _arr(close)

python/quantalib/core.py

@@ -34,7 +34,7 @@ def ha(open: object, high: object, low: object, close: object, offset: int = 0,
 
 def midpoint(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Midpoint = src[i] over period."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -45,7 +45,7 @@ def midpoint(close: object, period: int = 14, offset: int = 0, **kwargs) -> obje
 
 def midprice(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mid Price = (High+Low)/2 over period."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)

python/quantalib/cycles.py

@@ -100,7 +100,7 @@ def solar(close: object, offset: int = 0, **kwargs) -> object:
 
 def ssfdsp(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Supersmoother DSP."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)

python/quantalib/dynamics.py

@@ -34,7 +34,7 @@ __all__ = [
 
 def adx(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Average Directional Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -45,7 +45,7 @@ def adx(high: object, low: object, close: object, period: int = 14, offset: int
 
 def adxr(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """ADX Rating."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -86,7 +86,7 @@ def amat(close: object, fastPeriod: int = 12, slowPeriod: int = 26, offset: int
 
 def aroon(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Aroon."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -97,7 +97,7 @@ def aroon(high: object, low: object, period: int = 14, offset: int = 0, **kwargs
 
 def aroonosc(high: object, low: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Aroon Oscillator."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low)
     n = len(h)
@@ -108,7 +108,7 @@ def aroonosc(high: object, low: object, period: int = 14, offset: int = 0, **kwa
 
 def chop(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Choppiness Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -120,7 +120,7 @@ def chop(open: object, high: object, low: object, close: object, volume: object,
 
 def dmx(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Directional Movement Extended."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -131,7 +131,7 @@ def dmx(high: object, low: object, close: object, period: int = 14, offset: int
 
 def dx(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Directional Movement Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -142,7 +142,7 @@ def dx(high: object, low: object, close: object, period: int = 14, offset: int =
 
 def ghla(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Gann Hi-Lo Activator."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -196,7 +196,7 @@ def impulse(close: object, emaPeriod: int = 13, macdFast: int = 12, macdSlow: in
 
 def pfe(close: object, period: int = 14, smoothPeriod: int = 5, offset: int = 0, **kwargs) -> object:
     """Polarized Fractal Efficiency."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     smoothPeriod = int(smoothPeriod)
     offset = int(offset)
     src, idx = _arr(close)
@@ -208,7 +208,7 @@ def pfe(close: object, period: int = 14, smoothPeriod: int = 5, offset: int = 0,
 
 def qstick(open: object, high: object, low: object, close: object, volume: object, period: int = 14, useEma: int = 0, offset: int = 0, **kwargs) -> object:
     """QStick."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     useEma = int(useEma)
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
@@ -233,7 +233,7 @@ def ravi(close: object, shortPeriod: int = 12, longPeriod: int = 26, offset: int
 
 def supertrend(open: object, high: object, low: object, close: object, volume: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """SuperTrend."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
@@ -262,7 +262,7 @@ def ttm_squeeze(open: object, high: object, low: object, close: object, volume:
 
 def ttm_trend(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """TTM Trend."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -274,7 +274,7 @@ def ttm_trend(open: object, high: object, low: object, close: object, volume: ob
 
 def vhf(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Vertical Horizontal Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -285,7 +285,7 @@ def vhf(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def vortex(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Vortex Indicator."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)

python/quantalib/errors.py

@@ -39,7 +39,7 @@ __all__ = [
 
 def huber(actual: object, predicted: object, period: int = 14, delta: float = 1.35, offset: int = 0, **kwargs) -> object:
     """Huber Loss."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     delta = float(delta)
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
@@ -51,7 +51,7 @@ def huber(actual: object, predicted: object, period: int = 14, delta: float = 1.
 
 def logcosh(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Log-Cosh Loss."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -62,7 +62,7 @@ def logcosh(actual: object, predicted: object, period: int = 14, offset: int = 0
 
 def maape(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Arctangent Absolute Percentage Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -73,7 +73,7 @@ def maape(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def mapd(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Absolute Percentage Deviation."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -84,7 +84,7 @@ def mapd(actual: object, predicted: object, period: int = 14, offset: int = 0, *
 
 def mase(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Absolute Scaled Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -95,7 +95,7 @@ def mase(actual: object, predicted: object, period: int = 14, offset: int = 0, *
 
 def mdae(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Median Absolute Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -106,7 +106,7 @@ def mdae(actual: object, predicted: object, period: int = 14, offset: int = 0, *
 
 def mdape(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Median Absolute Percentage Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -117,7 +117,7 @@ def mdape(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def me(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -128,7 +128,7 @@ def me(actual: object, predicted: object, period: int = 14, offset: int = 0, **k
 
 def mpe(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Percentage Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -139,7 +139,7 @@ def mpe(actual: object, predicted: object, period: int = 14, offset: int = 0, **
 
 def mrae(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Relative Absolute Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -150,7 +150,7 @@ def mrae(actual: object, predicted: object, period: int = 14, offset: int = 0, *
 
 def msle(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Squared Logarithmic Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -161,7 +161,7 @@ def msle(actual: object, predicted: object, period: int = 14, offset: int = 0, *
 
 def pseudohuber(actual: object, predicted: object, period: int = 14, delta: float = 1.35, offset: int = 0, **kwargs) -> object:
     """Pseudo-Huber Loss."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     delta = float(delta)
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
@@ -173,7 +173,7 @@ def pseudohuber(actual: object, predicted: object, period: int = 14, delta: floa
 
 def quantileloss(actual: object, predicted: object, period: int = 14, quantile: float = 0.5, offset: int = 0, **kwargs) -> object:
     """Quantile Loss (Pinball Loss)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     quantile = float(quantile)
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
@@ -185,7 +185,7 @@ def quantileloss(actual: object, predicted: object, period: int = 14, quantile:
 
 def rae(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Relative Absolute Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -196,7 +196,7 @@ def rae(actual: object, predicted: object, period: int = 14, offset: int = 0, **
 
 def rmsle(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Root Mean Squared Logarithmic Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -207,7 +207,7 @@ def rmsle(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def rse(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Relative Squared Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -218,7 +218,7 @@ def rse(actual: object, predicted: object, period: int = 14, offset: int = 0, **
 
 def rsquared(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """R-Squared (Coefficient of Determination)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -229,7 +229,7 @@ def rsquared(actual: object, predicted: object, period: int = 14, offset: int =
 
 def smape(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Symmetric Mean Absolute Percentage Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -240,7 +240,7 @@ def smape(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def theilu(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Theil U Statistic (Error)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -251,7 +251,7 @@ def theilu(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def tukeybiweight(actual: object, predicted: object, period: int = 14, c: float = 4.685, offset: int = 0, **kwargs) -> object:
     """Tukey Biweight Loss."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     c = float(c)
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
@@ -263,7 +263,7 @@ def tukeybiweight(actual: object, predicted: object, period: int = 14, c: float
 
 def wmape(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Weighted Mean Absolute Percentage Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)
@@ -274,7 +274,7 @@ def wmape(actual: object, predicted: object, period: int = 14, offset: int = 0,
 
 def wrmse(actual: object, predicted: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Weighted Root Mean Squared Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     a, idx = _arr(actual); p, _ = _arr(predicted)
     n = len(a)

python/quantalib/filters.py

@@ -127,7 +127,7 @@ def lms(close: object, order: int = 16, mu: float = 0.5, offset: int = 0, **kwar
 
 def loess(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """LOESS Smoother."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -138,7 +138,7 @@ def loess(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def modf(close: object, period: int = 14, beta: float = 0.8, feedback: int = 0, fbWeight: float = 0.5, offset: int = 0, **kwargs) -> object:
     """Modified Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     beta = float(beta)
     feedback = int(feedback)
     fbWeight = float(fbWeight)
@@ -152,7 +152,7 @@ def modf(close: object, period: int = 14, beta: float = 0.8, feedback: int = 0,
 
 def notch(close: object, period: int = 14, q: float = 1.0, offset: int = 0, **kwargs) -> object:
     """Notch Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     q = float(q)
     offset = int(offset)
     src, idx = _arr(close)
@@ -164,7 +164,7 @@ def notch(close: object, period: int = 14, q: float = 1.0, offset: int = 0, **kw
 
 def nw(close: object, period: int = 64, bandwidth: float = 8.0, offset: int = 0, **kwargs) -> object:
     """Nadaraya-Watson Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     bandwidth = float(bandwidth)
     offset = int(offset)
     src, idx = _arr(close)
@@ -201,7 +201,7 @@ def rls(close: object, order: int = 16, lam: float = 0.99, offset: int = 0, **kw
 
 def rmed(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Running Median Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -224,7 +224,7 @@ def roofing(close: object, hpLength: int = 48, ssLength: int = 10, offset: int =
 
 def sgf(close: object, period: int = 14, polyOrder: int = 2, offset: int = 0, **kwargs) -> object:
     """Savitzky-Golay Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     polyOrder = int(polyOrder)
     offset = int(offset)
     src, idx = _arr(close)
@@ -249,7 +249,7 @@ def spbf(close: object, shortPeriod: int = 40, longPeriod: int = 60, rmsPeriod:
 
 def ssf2(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Super Smoother (2-pole)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -260,7 +260,7 @@ def ssf2(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def ssf3(close: object, period: int = 14, initialLast: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Super Smoother (3-pole)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     initialLast = float(initialLast)
     offset = int(offset)
     src, idx = _arr(close)
@@ -272,7 +272,7 @@ def ssf3(close: object, period: int = 14, initialLast: float = 0.0, offset: int
 
 def usf(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Universal Smoother Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -283,7 +283,7 @@ def usf(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def voss(close: object, period: int = 14, predict: int = 3, bandwidth: float = 0.25, offset: int = 0, **kwargs) -> object:
     """Voss Predictor."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     predict = int(predict)
     bandwidth = float(bandwidth)
     offset = int(offset)
@@ -308,7 +308,7 @@ def wavelet(close: object, levels: int = 4, threshMult: float = 1.0, offset: int
 
 def wiener(close: object, period: int = 14, smoothPeriod: int = 10, offset: int = 0, **kwargs) -> object:
     """Wiener Filter."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     smoothPeriod = int(smoothPeriod)
     offset = int(offset)
     src, idx = _arr(close)

python/quantalib/momentum.py

@@ -43,7 +43,7 @@ def bop(open: object, high: object, low: object, close: object, offset: int = 0,
 
 def cci(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Commodity Channel Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -103,7 +103,7 @@ def prs(x: object, y: object, smoothPeriod: int = 5, offset: int = 0, **kwargs)
 
 def rocp(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rate of Change (Percentage)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -114,7 +114,7 @@ def rocp(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def rocr(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rate of Change (Ratio)."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -137,7 +137,7 @@ def sam(close: object, alpha: float = 0.07, cutoff: int = 8, offset: int = 0, **
 
 def vel(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Velocity."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)

python/quantalib/numerics.py

@@ -52,7 +52,7 @@ def fdist(close: object, d1: int = 1, d2: int = 1, period: int = 14, offset: int
     """F-Distribution."""
     d1 = int(d1)
     d2 = int(d2)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -78,7 +78,7 @@ def gammadist(close: object, alpha: float = 2.0, beta: float = 1.0, period: int
     """Gamma Distribution."""
     alpha = float(alpha)
     beta = float(beta)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -89,7 +89,7 @@ def gammadist(close: object, alpha: float = 2.0, beta: float = 1.0, period: int
 
 def highest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Highest Value."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -136,7 +136,7 @@ def lognormdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int
     """Log-Normal Distribution."""
     mu = float(mu)
     sigma = float(sigma)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -157,7 +157,7 @@ def logtrans(close: object, offset: int = 0, **kwargs) -> object:
 
 def lowest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Lowest Value."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -168,7 +168,7 @@ def lowest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
 
 def normalize(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Normalization."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -181,7 +181,7 @@ def normdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int = 1
     """Normal Distribution."""
     mu = float(mu)
     sigma = float(sigma)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -193,7 +193,7 @@ def normdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int = 1
 def poissondist(close: object, lam: float = 1.0, period: int = 14, threshold: int = 5, offset: int = 0, **kwargs) -> object:
     """Poisson Distribution."""
     lam = float(lam)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     threshold = int(threshold)
     offset = int(offset)
     src, idx = _arr(close)
@@ -248,7 +248,7 @@ def sqrttrans(close: object, offset: int = 0, **kwargs) -> object:
 def tdist(close: object, nu: int = 10, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Student's t-Distribution."""
     nu = int(nu)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -261,7 +261,7 @@ def weibulldist(close: object, k: float = 1.5, lam: float = 1.0, period: int = 1
     """Weibull Distribution."""
     k = float(k)
     lam = float(lam)
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)

python/quantalib/oscillators.py

@@ -108,7 +108,7 @@ def coppock(close: object, longRoc: int = 14, shortRoc: int = 11, wmaPeriod: int
 
 def eri(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Elder Ray Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -119,7 +119,7 @@ def eri(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def fi(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Force Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -146,7 +146,7 @@ def gator(close: object, jawPeriod: int = 13, jawShift: int = 8, teethPeriod: in
 
 def imi(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Intraday Momentum Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -215,7 +215,7 @@ def mstoch(close: object, stochLength: int = 20, hpLength: int = 48, ssLength: i
 
 def pgo(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Pretty Good Oscillator."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -239,7 +239,7 @@ def qqe(close: object, rsiPeriod: int = 14, smoothFactor: int = 5, qqeFactor: fl
 
 def reverseema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Reverse EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -250,7 +250,7 @@ def reverseema(close: object, period: int = 14, offset: int = 0, **kwargs) -> ob
 
 def rvgi(open: object, high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Relative Vigor Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(o)
@@ -277,7 +277,7 @@ def smi(high: object, low: object, close: object, kPeriod: int = 14, kSmooth: in
 
 def squeeze(high: object, low: object, close: object, period: int = 14, bbMult: float = 2.0, kcMult: float = 1.5, offset: int = 0, **kwargs) -> object:
     """Squeeze Momentum."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     bbMult = float(bbMult)
     kcMult = float(kcMult)
     offset = int(offset)
@@ -369,7 +369,7 @@ def ultosc(high: object, low: object, close: object, period1: int = 14, period2:
 
 def willr(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Williams %R."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)

python/quantalib/reversals.py

@@ -25,7 +25,7 @@ __all__ = [
 
 def chandelier(open: object, high: object, low: object, close: object, period: int = 14, multiplier: float = 2.0, offset: int = 0, **kwargs) -> object:
     """Chandelier Exit."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     multiplier = float(multiplier)
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low); c, _ = _arr(close)

python/quantalib/statistics.py

@@ -45,7 +45,7 @@ __all__ = [
 
 def acf(close: object, period: int = 14, lag: int = 10, offset: int = 0, **kwargs) -> object:
     """Autocorrelation Function."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     lag = int(lag)
     offset = int(offset)
     src, idx = _arr(close)
@@ -57,7 +57,7 @@ def acf(close: object, period: int = 14, lag: int = 10, offset: int = 0, **kwarg
 
 def geomean(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Geometric Mean."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -68,7 +68,7 @@ def geomean(close: object, period: int = 14, offset: int = 0, **kwargs) -> objec
 
 def granger(x: object, y: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Granger Causality."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     xarr, idx = _arr(x); yarr, _ = _arr(y)
     n = len(xarr)
@@ -79,7 +79,7 @@ def granger(x: object, y: object, period: int = 14, offset: int = 0, **kwargs) -
 
 def harmean(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Harmonic Mean."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -90,7 +90,7 @@ def harmean(close: object, period: int = 14, offset: int = 0, **kwargs) -> objec
 
 def hurst(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Hurst Exponent."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -101,7 +101,7 @@ def hurst(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def iqr(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Interquartile Range."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -112,7 +112,7 @@ def iqr(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def jb(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Jarque-Bera Test."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -123,7 +123,7 @@ def jb(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def kendall(x: object, y: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Kendall Rank Correlation."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     xarr, idx = _arr(x); yarr, _ = _arr(y)
     n = len(xarr)
@@ -134,7 +134,7 @@ def kendall(x: object, y: object, period: int = 14, offset: int = 0, **kwargs) -
 
 def kurtosis(close: object, period: int = 14, isPopulation: int = 0, offset: int = 0, **kwargs) -> object:
     """Kurtosis."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     isPopulation = int(isPopulation)
     offset = int(offset)
     src, idx = _arr(close)
@@ -146,7 +146,7 @@ def kurtosis(close: object, period: int = 14, isPopulation: int = 0, offset: int
 
 def linreg(close: object, period: int = 14, initialLastValid: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Linear Regression."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     initialLastValid = float(initialLastValid)
     offset = int(offset)
     src, idx = _arr(close)
@@ -158,7 +158,7 @@ def linreg(close: object, period: int = 14, initialLastValid: float = 0.0, offse
 
 def meandev(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Mean Deviation."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -169,7 +169,7 @@ def meandev(close: object, period: int = 14, offset: int = 0, **kwargs) -> objec
 
 def median(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rolling Median."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -180,7 +180,7 @@ def median(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
 
 def mode(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rolling Mode."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -191,7 +191,7 @@ def mode(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def pacf(close: object, period: int = 14, lag: int = 10, offset: int = 0, **kwargs) -> object:
     """Partial Autocorrelation Function."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     lag = int(lag)
     offset = int(offset)
     src, idx = _arr(close)
@@ -203,7 +203,7 @@ def pacf(close: object, period: int = 14, lag: int = 10, offset: int = 0, **kwar
 
 def percentile(close: object, period: int = 14, percent: float = 50.0, offset: int = 0, **kwargs) -> object:
     """Rolling Percentile."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     percent = float(percent)
     offset = int(offset)
     src, idx = _arr(close)
@@ -215,7 +215,7 @@ def percentile(close: object, period: int = 14, percent: float = 50.0, offset: i
 
 def polyfit(close: object, period: int = 14, degree: int = 2, initialLastValid: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Polynomial Fit."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     degree = int(degree)
     initialLastValid = float(initialLastValid)
     offset = int(offset)
@@ -228,7 +228,7 @@ def polyfit(close: object, period: int = 14, degree: int = 2, initialLastValid:
 
 def quantile(close: object, period: int = 14, quantileLevel: float = 0.5, offset: int = 0, **kwargs) -> object:
     """Rolling Quantile."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     quantileLevel = float(quantileLevel)
     offset = int(offset)
     src, idx = _arr(close)
@@ -240,7 +240,7 @@ def quantile(close: object, period: int = 14, quantileLevel: float = 0.5, offset
 
 def skew(close: object, period: int = 14, isPopulation: int = 0, offset: int = 0, **kwargs) -> object:
     """Skewness."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     isPopulation = int(isPopulation)
     offset = int(offset)
     src, idx = _arr(close)
@@ -252,7 +252,7 @@ def skew(close: object, period: int = 14, isPopulation: int = 0, offset: int = 0
 
 def spearman(x: object, y: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Spearman Rank Correlation."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     xarr, idx = _arr(x); yarr, _ = _arr(y)
     n = len(xarr)
@@ -263,7 +263,7 @@ def spearman(x: object, y: object, period: int = 14, offset: int = 0, **kwargs)
 
 def stderr(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Standard Error."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -274,7 +274,7 @@ def stderr(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
 
 def sum(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rolling Sum."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -285,7 +285,7 @@ def sum(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def theil(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Theil U Statistic."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -296,7 +296,7 @@ def theil(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def trim(close: object, period: int = 14, trimPct: float = 0.1, offset: int = 0, **kwargs) -> object:
     """Trimmed Mean."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     trimPct = float(trimPct)
     offset = int(offset)
     src, idx = _arr(close)
@@ -308,7 +308,7 @@ def trim(close: object, period: int = 14, trimPct: float = 0.1, offset: int = 0,
 
 def wavg(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Weighted Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -319,7 +319,7 @@ def wavg(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def wins(close: object, period: int = 14, winPct: float = 0.05, offset: int = 0, **kwargs) -> object:
     """Winsorized Mean."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     winPct = float(winPct)
     offset = int(offset)
     src, idx = _arr(close)
@@ -331,7 +331,7 @@ def wins(close: object, period: int = 14, winPct: float = 0.05, offset: int = 0,
 
 def ztest(close: object, period: int = 14, mu0: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Z-Test."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     mu0 = float(mu0)
     offset = int(offset)
     src, idx = _arr(close)

python/quantalib/trends_fir.py

@@ -47,7 +47,7 @@ __all__ = [
 
 def fwma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Fibonacci Weighted Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -58,7 +58,7 @@ def fwma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def gwma(close: object, period: int = 14, sigma: float = 0.4, offset: int = 0, **kwargs) -> object:
     """Gaussian Weighted Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     sigma = float(sigma)
     offset = int(offset)
     src, idx = _arr(close)
@@ -70,7 +70,7 @@ def gwma(close: object, period: int = 14, sigma: float = 0.4, offset: int = 0, *
 
 def hamma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Hamming Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -81,7 +81,7 @@ def hamma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def hend(close: object, period: int = 14, nanValue: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Henderson Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     nanValue = float(nanValue)
     offset = int(offset)
     src, idx = _arr(close)
@@ -93,7 +93,7 @@ def hend(close: object, period: int = 14, nanValue: float = 0.0, offset: int = 0
 
 def ilrs(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Integral of Linear Regression Slope."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -104,7 +104,7 @@ def ilrs(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def kaiser(close: object, period: int = 14, beta: float = 3.0, nanValue: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Kaiser Window Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     beta = float(beta)
     nanValue = float(nanValue)
     offset = int(offset)
@@ -117,7 +117,7 @@ def kaiser(close: object, period: int = 14, beta: float = 3.0, nanValue: float =
 
 def lanczos(close: object, period: int = 14, nanValue: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Lanczos Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     nanValue = float(nanValue)
     offset = int(offset)
     src, idx = _arr(close)
@@ -129,7 +129,7 @@ def lanczos(close: object, period: int = 14, nanValue: float = 0.0, offset: int
 
 def nlma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Non-Lag Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -140,7 +140,7 @@ def nlma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def nyqma(close: object, period: int = 14, nyquistPeriod: int = 2, offset: int = 0, **kwargs) -> object:
     """Nyquist Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     nyquistPeriod = int(nyquistPeriod)
     offset = int(offset)
     src, idx = _arr(close)
@@ -152,7 +152,7 @@ def nyqma(close: object, period: int = 14, nyquistPeriod: int = 2, offset: int =
 
 def pma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Predictive Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -164,7 +164,7 @@ def pma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def pwma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Pascal Weighted Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -175,7 +175,7 @@ def pwma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def qrma(close: object, period: int = 14, initialLastValid: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Quick Reaction Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     initialLastValid = float(initialLastValid)
     offset = int(offset)
     src, idx = _arr(close)
@@ -187,7 +187,7 @@ def qrma(close: object, period: int = 14, initialLastValid: float = 0.0, offset:
 
 def rwma(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Range Weighted Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)

python/quantalib/trends_iir.py

@@ -53,7 +53,7 @@ __all__ = [
 
 def adxvma(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """ADX Variable Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -65,7 +65,7 @@ def adxvma(open: object, high: object, low: object, close: object, volume: objec
 
 def frama(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Fractal Adaptive Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -76,7 +76,7 @@ def frama(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def holt(close: object, period: int = 14, gamma: float = 0.0, offset: int = 0, **kwargs) -> object:
     """Holt Exponential Smoothing."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     gamma = float(gamma)
     offset = int(offset)
     src, idx = _arr(close)
@@ -98,7 +98,7 @@ def htit(close: object, offset: int = 0, **kwargs) -> object:
 
 def hwma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Holt-Winter Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -121,7 +121,7 @@ def jma(close: object, period: int = 14, phase: int = 0, offset: int = 0, **kwar
 
 def kama(close: object, period: int = 14, fastPeriod: int = 12, slowPeriod: int = 26, offset: int = 0, **kwargs) -> object:
     """Kaufman Adaptive Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     fastPeriod = int(fastPeriod)
     slowPeriod = int(slowPeriod)
     offset = int(offset)
@@ -134,7 +134,7 @@ def kama(close: object, period: int = 14, fastPeriod: int = 12, slowPeriod: int
 
 def ltma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Low-Lag Triple Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -170,7 +170,7 @@ def mavp(x: object, periods: object, minPeriod: int = 6, maxPeriod: int = 48, of
 
 def mcnma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """McNicholl Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -181,7 +181,7 @@ def mcnma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def mgdi(close: object, period: int = 14, k: float = 0.6, offset: int = 0, **kwargs) -> object:
     """McGinley Dynamic."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     k = float(k)
     offset = int(offset)
     src, idx = _arr(close)
@@ -193,7 +193,7 @@ def mgdi(close: object, period: int = 14, k: float = 0.6, offset: int = 0, **kwa
 
 def mma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Modified Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -204,7 +204,7 @@ def mma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def nma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Normalized Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -215,7 +215,7 @@ def nma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def qema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Quadruple EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -226,7 +226,7 @@ def qema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def rema(close: object, period: int = 14, lam: float = 0.5, offset: int = 0, **kwargs) -> object:
     """Regularized EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     lam = float(lam)
     offset = int(offset)
     src, idx = _arr(close)
@@ -238,7 +238,7 @@ def rema(close: object, period: int = 14, lam: float = 0.5, offset: int = 0, **k
 
 def rgma(close: object, period: int = 14, passes: int = 3, offset: int = 0, **kwargs) -> object:
     """Recursive Gaussian Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     passes = int(passes)
     offset = int(offset)
     src, idx = _arr(close)
@@ -250,7 +250,7 @@ def rgma(close: object, period: int = 14, passes: int = 3, offset: int = 0, **kw
 
 def rma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Rolling Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -261,7 +261,7 @@ def rma(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def t3(close: object, period: int = 14, vfactor: float = 0.7, offset: int = 0, **kwargs) -> object:
     """Tillson T3."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     vfactor = float(vfactor)
     offset = int(offset)
     src, idx = _arr(close)
@@ -273,7 +273,7 @@ def t3(close: object, period: int = 14, vfactor: float = 0.7, offset: int = 0, *
 
 def trama(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Triangular Adaptive Moving Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -300,7 +300,7 @@ def vama(open: object, high: object, low: object, close: object, volume: object,
 
 def vidya(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Variable Index Dynamic Average."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -327,7 +327,7 @@ def yzvama(open: object, high: object, low: object, close: object, volume: objec
 
 def zldema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Zero-Lag Double EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -338,7 +338,7 @@ def zldema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
 
 def zlema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Zero-Lag EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -349,7 +349,7 @@ def zlema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
 
 def zltema(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Zero-Lag Triple EMA."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)

python/quantalib/volatility.py

@@ -41,7 +41,7 @@ __all__ = [
 
 def adr(open: object, high: object, low: object, close: object, volume: object, period: int = 14, method: int = 0, offset: int = 0, **kwargs) -> object:
     """Average Daily Range."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     method = int(method)
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
@@ -54,7 +54,7 @@ def adr(open: object, high: object, low: object, close: object, volume: object,
 
 def atr(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Average True Range."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -66,7 +66,7 @@ def atr(open: object, high: object, low: object, close: object, volume: object,
 
 def atrn(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Normalized ATR."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -78,7 +78,7 @@ def atrn(open: object, high: object, low: object, close: object, volume: object,
 
 def gkv(open: object, high: object, low: object, close: object, period: int = 14, annualize: int = 1, annualPeriods: int = 252, offset: int = 0, **kwargs) -> object:
     """Garman-Klass Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     annualize = int(annualize)
     annualPeriods = int(annualPeriods)
     offset = int(offset)
@@ -91,7 +91,7 @@ def gkv(open: object, high: object, low: object, close: object, period: int = 14
 
 def hlv(high: object, low: object, period: int = 14, annualize: int = 1, annualPeriods: int = 252, offset: int = 0, **kwargs) -> object:
     """High-Low Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     annualize = int(annualize)
     annualPeriods = int(annualPeriods)
     offset = int(offset)
@@ -104,7 +104,7 @@ def hlv(high: object, low: object, period: int = 14, annualize: int = 1, annualP
 
 def hv(close: object, period: int = 14, annualize: int = 1, annualPeriods: int = 252, offset: int = 0, **kwargs) -> object:
     """Historical Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     annualize = int(annualize)
     annualPeriods = int(annualPeriods)
     offset = int(offset)
@@ -117,7 +117,7 @@ def hv(close: object, period: int = 14, annualize: int = 1, annualPeriods: int =
 
 def jvolty(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Jurik Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -128,7 +128,7 @@ def jvolty(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
 
 def jvoltyn(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Jurik Volatility Normalized."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -151,7 +151,7 @@ def massi(close: object, emaLength: int = 9, sumLength: int = 25, offset: int =
 
 def natr(open: object, high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Normalized ATR."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low)
     c, _ = _arr(close); v, _ = _arr(volume)
@@ -163,7 +163,7 @@ def natr(open: object, high: object, low: object, close: object, volume: object,
 
 def rsv(open: object, high: object, low: object, close: object, period: int = 14, annualize: int = 1, annualPeriods: int = 252, offset: int = 0, **kwargs) -> object:
     """Rogers-Satchell Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     annualize = int(annualize)
     annualPeriods = int(annualPeriods)
     offset = int(offset)
@@ -176,7 +176,7 @@ def rsv(open: object, high: object, low: object, close: object, period: int = 14
 
 def rv(close: object, period: int = 14, smoothingPeriod: int = 14, annualize: int = 1, annualPeriods: int = 252, offset: int = 0, **kwargs) -> object:
     """Realized Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     smoothingPeriod = int(smoothingPeriod)
     annualize = int(annualize)
     annualPeriods = int(annualPeriods)
@@ -202,7 +202,7 @@ def rvi(close: object, stdevLength: int = 10, rmaLength: int = 14, offset: int =
 
 def ui(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Ulcer Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -225,7 +225,7 @@ def vov(close: object, volatilityPeriod: int = 20, vovPeriod: int = 20, offset:
 
 def vr(high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Volatility Ratio."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(h)
@@ -236,7 +236,7 @@ def vr(high: object, low: object, close: object, period: int = 14, offset: int =
 
 def yzv(open: object, high: object, low: object, close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Yang-Zhang Volatility."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     o, idx = _arr(open); h, _ = _arr(high); l, _ = _arr(low); c, _ = _arr(close)
     n = len(o)

python/quantalib/volume.py

@@ -62,7 +62,7 @@ def adosc(high: object, low: object, close: object, volume: object, fastPeriod:
 
 def iii(high: object, low: object, close: object, volume: object, period: int = 14, cumulative: int = 0, offset: int = 0, **kwargs) -> object:
     """Intraday Intensity Index."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     cumulative = int(cumulative)
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close); v, _ = _arr(volume)
@@ -88,7 +88,7 @@ def kvo(high: object, low: object, close: object, volume: object, fastPeriod: in
 
 def twap(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Time Weighted Average Price."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     src, idx = _arr(close)
     n = len(src)
@@ -121,7 +121,7 @@ def vo(volume: object, shortPeriod: int = 12, longPeriod: int = 26, offset: int
 
 def vroc(volume: object, period: int = 14, usePercent: int = 1, offset: int = 0, **kwargs) -> object:
     """Volume Rate of Change."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     usePercent = int(usePercent)
     offset = int(offset)
     src, idx = _arr(volume)
@@ -133,7 +133,7 @@ def vroc(volume: object, period: int = 14, usePercent: int = 1, offset: int = 0,
 
 def vwad(high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Volume Weighted Accumulation/Distribution."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close); v, _ = _arr(volume)
     n = len(h)
@@ -144,7 +144,7 @@ def vwad(high: object, low: object, close: object, volume: object, period: int =
 
 def vwap(high: object, low: object, close: object, volume: object, period: int = 14, offset: int = 0, **kwargs) -> object:
     """Volume Weighted Average Price."""
-    period = int(period)
+    period = int(kwargs.get("length", period))
     offset = int(offset)
     h, idx = _arr(high); l, _ = _arr(low); c, _ = _arr(close); v, _ = _arr(volume)
     n = len(h)

python/tools/add_length_alias.py

@@ -0,0 +1,43 @@
+"""Add length→period alias to all old-style Python wrapper functions.
+
+Replaces:  period = int(period)
+With:      period = int(kwargs.get("length", period))
+
+Only targets exact standalone `period = int(period)` lines (4-space indent).
+Does NOT touch compound names like fastPeriod, slowPeriod, etc.
+"""
+import re
+import os
+import glob
+
+base = os.path.join(os.path.dirname(__file__), '..', 'quantalib')
+base = os.path.normpath(base)
+files = sorted(glob.glob(os.path.join(base, '*.py')))
+total = 0
+
+for fpath in files:
+    fname = os.path.basename(fpath)
+    if fname.startswith('_'):
+        continue
+    with open(fpath, 'r', encoding='utf-8') as f:
+        content = f.read()
+
+    # Match exactly '    period = int(period)' (4-space indent, standalone)
+    pattern = r'^(    )period = int\(period\)$'
+    matches = re.findall(pattern, content, re.MULTILINE)
+    count = len(matches)
+    if count > 0:
+        new_content = re.sub(
+            pattern,
+            r'\1period = int(kwargs.get("length", period))',
+            content,
+            flags=re.MULTILINE,
+        )
+        with open(fpath, 'w', encoding='utf-8') as f:
+            f.write(new_content)
+        print(f'{fname}: {count} replacements')
+        total += count
+    else:
+        print(f'{fname}: 0 (skipped)')
+
+print(f'\nTotal: {total} replacements across {len(files)} files')