Library "loxxmas"
TODO:loxx moving averages used in indicators
kama(src, len, kamafastend, kamaslowend)
KAMA Kaufman adaptive moving average
Parameters:
src: float
len: int
kamafastend: int
kamaslowend: int
Returns: array
ama(src, len, fl, sl)
AMA, adaptive moving average
Parameters:
src: float
len: int
fl: int
sl: int
Returns: array
t3(src, len)
T3 moving average, adaptive moving average
Parameters:
src: float
len: int
Returns: array
adxvma(src, len)
ADXvma - Average Directional Volatility Moving Average
Parameters:
src: float
len: int
Returns: array
ahrma(src, len)
Ahrens Moving Average
Parameters:
src: float
len: int
Returns: array
alxma(src, len)
Alexander Moving Average - ALXMA
Parameters:
src: float
len: int
Returns: array
dema(src, len)
Double Exponential Moving Average - DEMA
Parameters:
src: float
len: int
Returns: array
dsema(src, len)
Double Smoothed Exponential Moving Average - DSEMA
Parameters:
src: float
len: int
Returns: array
ema(src, len)
Exponential Moving Average - EMA
Parameters:
src: float
len: int
Returns: array
fema(src, len)
Fast Exponential Moving Average - FEMA
Parameters:
src: float
len: int
Returns: array
hma(src, len)
Hull moving averge
Parameters:
src: float
len: int
Returns: array
ie2(src, len)
Early T3 by Tim Tilson
Parameters:
src: float
len: int
Returns: array
frama(src, len, FC, SC)
Fractal Adaptive Moving Average - FRAMA
Parameters:
src: float
len: int
FC: int
SC: int
Returns: array
instant(src, float)
Instantaneous Trendline
Parameters:
src: float
float: alpha
Returns: array
ilrs(src, int)
Integral of Linear Regression Slope - ILRS
Parameters:
src: float
int: len
Returns: array
laguerre(src, float)
Laguerre Filter
Parameters:
src: float
float: alpha
Returns: array
leader(src, int)
Leader Exponential Moving Average
Parameters:
src: float
int: len
Returns: array
lsma(src, int, int)
Linear Regression Value - LSMA (Least Squares Moving Average)
Parameters:
src: float
int: len
int: offset
Returns: array
lwma(src, int)
Linear Weighted Moving Average - LWMA
Parameters:
src: float
int: len
Returns: array
mcginley(src, int)
McGinley Dynamic
Parameters:
src: float
int: len
Returns: array
mcNicholl(src, int)
McNicholl EMA
Parameters:
src: float
int: len
Returns: array
nonlagma(src, int)
Non-lag moving average
Parameters:
src: float
int: len
Returns: array
pwma(src, int, float)
Parabolic Weighted Moving Average
Parameters:
src: float
int: len
float: pwr
Returns: array
rmta(src, int)
Recursive Moving Trendline
Parameters:
src: float
int: len
Returns: array
decycler(src, int)
Simple decycler - SDEC
Parameters:
src: float
int: len
Returns: array
sma(src, int)
Simple Moving Average
Parameters:
src: float
int: len
Returns: array
swma(src, int)
Sine Weighted Moving Average
Parameters:
src: float
int: len
Returns: array
slwma(src, int)
linear weighted moving average
Parameters:
src: float
int: len
Returns: array
smma(src, int)
Smoothed Moving Average - SMMA
Parameters:
src: float
int: len
Returns: array
super(src, int)
Ehlers super smoother
Parameters:
src: float
int: len
Returns: array
smoother(src, int)
Smoother filter
Parameters:
src: float
int: len
Returns: array
tma(src, int)
Triangular moving average - TMA
Parameters:
src: float
int: len
Returns: array
tema(src, int)
Tripple exponential moving average - TEMA
Parameters:
src: float
int: len
Returns: array
vwema(src, int)
Volume weighted ema - VEMA
Parameters:
src: float
int: len
Returns: array
vwma(src, int)
Volume weighted moving average - VWMA
Parameters:
src: float
int: len
Returns: array
zlagdema(src, int)
Zero-lag dema
Parameters:
src: float
int: len
Returns: array
zlagma(src, int)
Zero-lag moving average
Parameters:
src: float
int: len
Returns: array
zlagtema(src, int)
Zero-lag tema
Parameters:
src: float
int: len
Returns: array
threepolebuttfilt(src, int)
Three-pole Ehlers Butterworth
Parameters:
src: float
int: len
Returns: array
threepolesss(src, int)
Three-pole Ehlers smoother
Parameters:
src: float
int: len
Returns: array
twopolebutter(src, int)
Two-pole Ehlers Butterworth
Parameters:
src: float
int: len
Returns: array
twopoless(src, int)
Two-pole Ehlers smoother
Parameters:
src: float
int: len
Returns: array