def fwma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Fibonacci's Weighted Moving Average (FWMA)"""
# Validate Arguments
length = int(length) if length and length > 0 else 10
asc = asc if asc else True
close = verify_series(close, length)
offset = get_offset(offset)
if close is None: return
# Calculate Result
fibs = fibonacci(n=length, weighted=True)
fwma = close.rolling(length, min_periods=length).apply(weights(fibs), raw=True)
# Offset
if offset != 0:
fwma = fwma.shift(offset)
# Handle fills
if "fillna" in kwargs:
fwma.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
fwma.fillna(method=kwargs["fill_method"], inplace=True)
# Name & Category
fwma.name = f"FWMA_{length}"
fwma.category = "overlap"
return fwma
def sinwma(close, length=None, offset=None, **kwargs):
"""Indicator: Sine Weighted Moving Average (SINWMA) by Everget of TradingView"""
# Validate Arguments
length = int(length) if length and length > 0 else 14
close = verify_series(close, length)
offset = get_offset(offset)
if close is None: return
# Calculate Result
sines = Series([npSin((i + 1) * npPi / (length + 1)) for i in range(0, length)])
w = sines / sines.sum()
sinwma = close.rolling(length, min_periods=length).apply(weights(w), raw=True)
# Offset
if offset != 0:
sinwma = sinwma.shift(offset)
# Handle fills
if "fillna" in kwargs:
sinwma.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
sinwma.fillna(method=kwargs["fill_method"], inplace=True)
# Name & Category
sinwma.name = f"SINWMA_{length}"
sinwma.category = "overlap"
return sinwma
def cg(close, length=None, offset=None, **kwargs):
"""Indicator: Center of Gravity (CG)"""
# Validate Arguments
close = verify_series(close)
length = int(length) if length and length > 0 else 10
offset = get_offset(offset)
# Calculate Result
coefficients = [length - i for i in range(0, length)]
numerator = -close.rolling(length).apply(weights(coefficients), raw=True)
cg = numerator / close.rolling(length).sum()
# Offset
if offset != 0:
cg = cg.shift(offset)
# Handle fills
if "fillna" in kwargs:
cg.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
cg.fillna(method=kwargs["fill_method"], inplace=True)
# Name and Categorize it
cg.name = f"CG_{length}"
cg.category = "momentum"
return cg
def swma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Symmetric Weighted Moving Average (SWMA)"""
# Validate Arguments
length = int(length) if length and length > 0 else 10
# min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length
asc = asc if asc else True
close = verify_series(close, length)
offset = get_offset(offset)
if close is None: return
# Calculate Result
triangle = symmetric_triangle(length, weighted=True)
swma = close.rolling(length, min_periods=length).apply(weights(triangle),
raw=True)
# swma = close.rolling(length).apply(weights(triangle), raw=True)
# Offset
if offset != 0:
swma = swma.shift(offset)
# Handle fills
if "fillna" in kwargs:
swma.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
swma.fillna(method=kwargs["fill_method"], inplace=True)
# Name & Category
swma.name = f"SWMA_{length}"
swma.category = "overlap"
return swma
def pwma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Pascals Weighted Moving Average (PWMA)"""
# Validate Arguments
close = verify_series(close)
length = int(length) if length and length > 0 else 10
min_periods = int(
kwargs["min_periods"]) if "min_periods" in kwargs and kwargs[
"min_periods"] is not None else length
asc = asc if asc else True
offset = get_offset(offset)
# Calculate Result
triangle = pascals_triangle(n=length - 1, weighted=True)
pwma = close.rolling(length, min_periods=length).apply(weights(triangle),
raw=True)
# Offset
if offset != 0:
pwma = pwma.shift(offset)
# Name & Category
pwma.name = f"PWMA_{length}"
pwma.category = "overlap"
return pwma
def pwma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Pascals Weighted Moving Average (PWMA)"""
# Validate Arguments
length = int(length) if length and length > 0 else 10
asc = asc if asc else True
close = verify_series(close, length)
offset = get_offset(offset)
if close is None: return
# Calculate Result
triangle = pascals_triangle(n=length - 1, weighted=True)
pwma = close.rolling(length, min_periods=length).apply(weights(triangle), raw=True)
# Offset
if offset != 0:
pwma = pwma.shift(offset)
# Handle fills
if "fillna" in kwargs:
pwma.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
pwma.fillna(method=kwargs["fill_method"], inplace=True)
# Name & Category
pwma.name = f"PWMA_{length}"
pwma.category = "overlap"
return pwma
def sinwma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Sine Weighted Moving Average (SINWMA) by Everget of TradingView"""
# Validate Arguments
close = verify_series(close)
length = int(length) if length and length > 0 else 14
min_periods = int(
kwargs["min_periods"]) if "min_periods" in kwargs and kwargs[
"min_periods"] is not None else length
offset = get_offset(offset)
# Calculate Result
sines = Series(
[sin((i + 1) * pi / (length + 1)) for i in range(0, length)])
w = sines / sines.sum()
sinwma = close.rolling(length, min_periods=length).apply(weights(w),
raw=True)
# Offset
if offset != 0:
sinwma = sinwma.shift(offset)
# Name & Category
sinwma.name = f"SINWMA_{length}"
sinwma.category = "overlap"
return sinwma
def fwma(close, length=None, asc=None, offset=None, **kwargs):
"""Indicator: Fibonacci's Weighted Moving Average (FWMA)"""
# Validate Arguments
close = verify_series(close)
length = int(length) if length and length > 0 else 10
min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length
asc = asc if asc else True
offset = get_offset(offset)
# Calculate Result
fibs = fibonacci(n=length, weighted=True)
fwma = close.rolling(length, min_periods=length).apply(weights(fibs), raw=True)
# Offset
if offset != 0:
fwma = fwma.shift(offset)
# Name & Category
fwma.name = f"FWMA_{length}"
fwma.category = "overlap"
return fwma
