gavindiaz/QuanTAlib
1
0
Fork 0
mirror of https://github.com/mihakralj/QuanTAlib.git synced 2026-08-08 05:57:43 +00:00
Code Issues Packages Projects Releases Wiki Activity

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

Browse Source
This commit is contained in:
Miha Kralj
2026-03-02 10:00:29 -08:00
parent ae7207c3d8
commit 18694e337e
16 changed files with 211 additions and 168 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/quantalib/trends_fir.py
+13 -13
View File
@@ -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)