PINE LIBRARY
تم تحديثه Mad_MATH
Library "MAD_MATH"
This is a mathematical library where I store useful kernels, filters and selectors for the different types of computations.
This library also contains opensource code from other scripters.
Future extensions are very likely, there are some functions I would like to add, but I have to wait for approvals so i can include them.
Ehlers_EMA(_src, _length)
Calculates the Ehlers Exponential Moving Average (Ehlers_EMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA
Returns: The Ehlers EMA value
Ehlers_Gaussian(_src, _length)
Calculates the Ehlers Gaussian Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Gaussian Filter
Returns: The Ehlers Gaussian Filter value
Ehlers_supersmoother(_src, _length)
Calculates the Ehlers Supersmoother
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Supersmoother
Returns: The Ehlers Supersmoother value
Ehlers_SMA_fast(_src, _length)
Calculates the Ehlers Simple Moving Average (SMA) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers SMA Fast
Returns: The Ehlers SMA Fast value
Ehlers_EMA_fast(_src, _length)
Calculates the Ehlers Exponential Moving Average (EMA) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA Fast
Returns: The Ehlers EMA Fast value
Ehlers_RSI_fast(_src, _length)
Calculates the Ehlers Relative Strength Index (RSI) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers RSI Fast
Returns: The Ehlers RSI Fast value
Ehlers_Band_Pass_Filter(_src, _length)
Calculates the Ehlers BandPass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers BandPass Filter
Returns: The Ehlers BandPass Filter value
Ehlers_Butterworth(_src, _length)
Calculates the Ehlers Butterworth Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Butterworth Filter
Returns: The Ehlers Butterworth Filter value
Ehlers_Two_Pole_Gaussian_Filter(_src, _length)
Calculates the Ehlers Two-Pole Gaussian Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole Gaussian Filter
Returns: The Ehlers Two-Pole Gaussian Filter value
Ehlers_Two_Pole_Butterworth_Filter(_src, _length)
Calculates the Ehlers Two-Pole Butterworth Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole Butterworth Filter
Returns: The Ehlers Two-Pole Butterworth Filter value
Ehlers_Band_Stop_Filter(_src, _length)
Calculates the Ehlers Band Stop Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Band Stop Filter
Returns: The Ehlers Band Stop Filter value
Ehlers_Smoother(_src)
Calculates the Ehlers Smoother
Parameters:
_src (float): The source series for calculation
Returns: The Ehlers Smoother value
Ehlers_High_Pass_Filter(_src, _length)
Calculates the Ehlers High Pass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers High Pass Filter
Returns: The Ehlers High Pass Filter value
Ehlers_2_Pole_High_Pass_Filter(_src, _length)
Calculates the Ehlers Two-Pole High Pass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole High Pass Filter
Returns: The Ehlers Two-Pole High Pass Filter value
pr(_src, _length)
pr Calculates the percentage rank (PR) of a value within a range.
Parameters:
_src (float): The source value for which the percentage rank is calculated. It represents the value to be ranked within the range.
_length (simple int): The _length of the range over which the percentage rank is calculated. It determines the number of bars considered for the calculation.
Returns: The percentage rank (PR) of the source value within the range, adjusted by adding 50 to the result.
smma(_src, _length)
Calculates the SMMA (Smoothed Moving Average)
Parameters:
_src (float): The source series for calculation
_length (simple int)
Returns: The SMMA value
hullma(_src, _length)
Calculates the Hull Moving Average (HullMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the HullMA
Returns: The HullMA value
tma(_src, _length)
Calculates the Triple Moving Average (TMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TMA
Returns: The TMA value
dema(_src, _length)
Calculates the Double Exponential Moving Average (DEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the DEMA
Returns: The DEMA value
tema(_src, _length)
Calculates the Triple Exponential Moving Average (TEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TEMA
Returns: The TEMA value
w2ma(_src, _length)
Calculates the Normalized Double Moving Average (N2MA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the N2MA
Returns: The N2MA value
wma(_src, _length)
Calculates the Normalized Moving Average (NMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the NMA
Returns: The NMA value
nma(_open, _close, _length)
Calculates the Normalized Moving Average (NMA)
Parameters:
_open (float): The open price series
_close (float): The close price series
_length (simple int): The _length for finding the highest and lowest values
Returns: The NMA value
lma(_src, _length)
Parameters:
_src (float)
_length (simple int)
zero_lag(_src, _length, gamma1, zl)
Calculates the Zero Lag Moving Average (ZeroLag)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the moving average
gamma1 (simple int): The coefficient for calculating 'd'
zl (simple bool): Boolean flag for applying Zero Lag
Returns: An array containing the ZeroLag Moving Average and a boolean flag indicating if it's flat
copyright HPotter, thanks for that great function
chebyshevI(src, len, ripple)
Calculates the Chebyshev Type I Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type I Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find and translation
chebyshevII(src, len, ripple)
Calculates the Chebyshev Type II Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type II Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find
wavetrend(_src, _n1, _n2)
Calculates the WaveTrend indicator
Parameters:
_src (float): The source series for calculation
_n1 (simple int): The period for the first EMA calculation
_n2 (simple int): The period for the second EMA calculation
Returns: The WaveTrend value
f_getma(_type, _src, _length, ripple)
Calculates various types of moving averages
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
ripple (simple float)
Returns: The calculated moving average or indicator value
f_getfilter(_type, _src, _length)
Calculates various types of filters
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
Returns: The filtered value
f_getoszillator(_type, _src, _length)
Calculates various types of Deviations and other indicators
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
Returns: The calculated moving average or indicator value
This is a mathematical library where I store useful kernels, filters and selectors for the different types of computations.
This library also contains opensource code from other scripters.
Future extensions are very likely, there are some functions I would like to add, but I have to wait for approvals so i can include them.
Ehlers_EMA(_src, _length)
Calculates the Ehlers Exponential Moving Average (Ehlers_EMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA
Returns: The Ehlers EMA value
Ehlers_Gaussian(_src, _length)
Calculates the Ehlers Gaussian Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Gaussian Filter
Returns: The Ehlers Gaussian Filter value
Ehlers_supersmoother(_src, _length)
Calculates the Ehlers Supersmoother
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Supersmoother
Returns: The Ehlers Supersmoother value
Ehlers_SMA_fast(_src, _length)
Calculates the Ehlers Simple Moving Average (SMA) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers SMA Fast
Returns: The Ehlers SMA Fast value
Ehlers_EMA_fast(_src, _length)
Calculates the Ehlers Exponential Moving Average (EMA) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA Fast
Returns: The Ehlers EMA Fast value
Ehlers_RSI_fast(_src, _length)
Calculates the Ehlers Relative Strength Index (RSI) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers RSI Fast
Returns: The Ehlers RSI Fast value
Ehlers_Band_Pass_Filter(_src, _length)
Calculates the Ehlers BandPass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers BandPass Filter
Returns: The Ehlers BandPass Filter value
Ehlers_Butterworth(_src, _length)
Calculates the Ehlers Butterworth Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Butterworth Filter
Returns: The Ehlers Butterworth Filter value
Ehlers_Two_Pole_Gaussian_Filter(_src, _length)
Calculates the Ehlers Two-Pole Gaussian Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole Gaussian Filter
Returns: The Ehlers Two-Pole Gaussian Filter value
Ehlers_Two_Pole_Butterworth_Filter(_src, _length)
Calculates the Ehlers Two-Pole Butterworth Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole Butterworth Filter
Returns: The Ehlers Two-Pole Butterworth Filter value
Ehlers_Band_Stop_Filter(_src, _length)
Calculates the Ehlers Band Stop Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Band Stop Filter
Returns: The Ehlers Band Stop Filter value
Ehlers_Smoother(_src)
Calculates the Ehlers Smoother
Parameters:
_src (float): The source series for calculation
Returns: The Ehlers Smoother value
Ehlers_High_Pass_Filter(_src, _length)
Calculates the Ehlers High Pass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers High Pass Filter
Returns: The Ehlers High Pass Filter value
Ehlers_2_Pole_High_Pass_Filter(_src, _length)
Calculates the Ehlers Two-Pole High Pass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole High Pass Filter
Returns: The Ehlers Two-Pole High Pass Filter value
pr(_src, _length)
pr Calculates the percentage rank (PR) of a value within a range.
Parameters:
_src (float): The source value for which the percentage rank is calculated. It represents the value to be ranked within the range.
_length (simple int): The _length of the range over which the percentage rank is calculated. It determines the number of bars considered for the calculation.
Returns: The percentage rank (PR) of the source value within the range, adjusted by adding 50 to the result.
smma(_src, _length)
Calculates the SMMA (Smoothed Moving Average)
Parameters:
_src (float): The source series for calculation
_length (simple int)
Returns: The SMMA value
hullma(_src, _length)
Calculates the Hull Moving Average (HullMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the HullMA
Returns: The HullMA value
tma(_src, _length)
Calculates the Triple Moving Average (TMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TMA
Returns: The TMA value
dema(_src, _length)
Calculates the Double Exponential Moving Average (DEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the DEMA
Returns: The DEMA value
tema(_src, _length)
Calculates the Triple Exponential Moving Average (TEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TEMA
Returns: The TEMA value
w2ma(_src, _length)
Calculates the Normalized Double Moving Average (N2MA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the N2MA
Returns: The N2MA value
wma(_src, _length)
Calculates the Normalized Moving Average (NMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the NMA
Returns: The NMA value
nma(_open, _close, _length)
Calculates the Normalized Moving Average (NMA)
Parameters:
_open (float): The open price series
_close (float): The close price series
_length (simple int): The _length for finding the highest and lowest values
Returns: The NMA value
lma(_src, _length)
Parameters:
_src (float)
_length (simple int)
zero_lag(_src, _length, gamma1, zl)
Calculates the Zero Lag Moving Average (ZeroLag)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the moving average
gamma1 (simple int): The coefficient for calculating 'd'
zl (simple bool): Boolean flag for applying Zero Lag
Returns: An array containing the ZeroLag Moving Average and a boolean flag indicating if it's flat
copyright HPotter, thanks for that great function
chebyshevI(src, len, ripple)
Calculates the Chebyshev Type I Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type I Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find and translation
chebyshevII(src, len, ripple)
Calculates the Chebyshev Type II Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type II Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find
wavetrend(_src, _n1, _n2)
Calculates the WaveTrend indicator
Parameters:
_src (float): The source series for calculation
_n1 (simple int): The period for the first EMA calculation
_n2 (simple int): The period for the second EMA calculation
Returns: The WaveTrend value
f_getma(_type, _src, _length, ripple)
Calculates various types of moving averages
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
ripple (simple float)
Returns: The calculated moving average or indicator value
f_getfilter(_type, _src, _length)
Calculates various types of filters
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
Returns: The filtered value
f_getoszillator(_type, _src, _length)
Calculates various types of Deviations and other indicators
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
Returns: The calculated moving average or indicator value
ملاحظات الأخبار
v2Changed the Strings for calling the Switches to Clearnames
Added:
Ehlers_Supersmoother(_src, _length)
Calculates the Ehlers Supersmoother
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Supersmoother
Returns: The Ehlers Supersmoother value
ChebyshevI(src, len, ripple)
Calculates the Chebyshev Type I Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type I Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find and translation
ChebyshevII(src, len, ripple)
Calculates the Chebyshev Type II Filter
Parameters:
src (float): The source series for calculation
len (int): The length of the filter
ripple (float): The ripple factor for the filter
Returns: The output of the Chebyshev Type II Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find
Removed:
Ehlers_supersmoother(_src, _length)
Calculates the Ehlers Supersmoother
zero_lag(_src, _length, gamma1, zl)
Calculates the Zero Lag Moving Average (ZeroLag)
removed because of wrong information
chebyshevI(src, len, ripple)
Calculates the Chebyshev Type I Filter
chebyshevII(src, len, ripple)
Calculates the Chebyshev Type II Filter
ملاحظات الأخبار
Added alexgrovers ARMA A2RMACleanup
Default Values
v3
Added:
Ehlers_Two_Pole_High_Pass_Filter(_src, _length)
Calculates the Ehlers Two-Pole High Pass Filter
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers Two-Pole High Pass Filter
Returns: The Ehlers Two-Pole High Pass Filter value
PR(_src, _length)
PR Calculates the percentage rank (PR) of a value within a range.
Parameters:
_src (float): The source value for which the percentage rank is calculated. It rePResents the value to be ranked within the range.
_length (simple int): The _length of the range over which the percentage rank is calculated. It determines the number of bars considered for the calculation.
Returns: The percentage rank (PR) of the source value within the range, adjusted by adding 50 to the result.
SMMA(_src, _length)
Calculates the SMMA (Smoothed Moving Average)
Parameters:
_src (float): The source series for calculation
_length (simple int)
Returns: The SMMA value
HULLMA(_src, _length)
Calculates the Hull Moving Average (HULLMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the HULLMA
Returns: The HULLMA value
TMA(_src, _length)
Calculates the Triple Moving Average (TMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TMA
Returns: The TMA value
DEMA(_src, _length)
Calculates the Double Exponential Moving Average (DEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the DEMA
Returns: The DEMA value
TEMA(_src, _length)
Calculates the Triple Exponential Moving Average (TEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TEMA
Returns: The TEMA value
W2MA(_src, _length)
Calculates the Normalized Double Moving Average (N2MA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the N2MA
Returns: The N2MA value
A2RMA(_src, _length, _gamma)
Parameters:
_src (float): Source float input used for the calculation
_length (simple int): Integer value rePResenting the length of the period
_gamma (simple float): Integer value rePResenting a factor for the calculation
Returns: the value of the adaptive moving average
ARMA(_src, _length, _gamma, _zerolag)
Calculates the Autonomous Recursive Moving Average (ARMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the ARMA
_gamma (simple float): The parameter for ARMA calculation
_zerolag (simple bool): Boolean flag indicating whether to use zero lag
Returns: An array containing the ARMA value and a flag indicating flatness
f_getall(_type, _src, _length, _gamma, _ripple, _zerolag)
Calculates various types of Deviations and other indicators
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
_gamma (simple float)
_ripple (simple float)
_zerolag (simple bool)
Returns: The calculated moving average or indicator value
Updated:
nma(_open, _close, _length)
Calculates the Normalized Moving Average (NMA)
Parameters:
_open (float): The open PRice series
_close (float): The close PRice series
_length (simple int): The _length for finding the highest and lowest values
Returns: The NMA value
ChebyshevI(_src, _length, _ripple)
Calculates the Chebyshev Type I Filter
Parameters:
_src (float)
_length (int)
_ripple (float)
Returns: The output of the Chebyshev Type I Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find and translation
ChebyshevII(_src, _length, _ripple)
Calculates the Chebyshev Type II Filter
Parameters:
_src (float)
_length (int)
_ripple (float)
Returns: The output of the Chebyshev Type II Filter
math from Pafnuti Lwowitsch Tschebyschow (1821–1894)
Thanks peacefulLizard50262 for the find
f_getma(_type, _src, _length, _gamma, _ripple, _zerolag)
Calculates various types of moving averages
Parameters:
_type (simple string): The type of indicator to calculate
_src (float): The source series for calculation
_length (simple int): The length for the moving average or indicator
_gamma (simple float)
_ripple (simple float)
_zerolag (simple bool)
Returns: The calculated moving average or indicator value
Removed:
Ehlers_2_Pole_High_Pass_Filter(_src, _length)
Calculates the Ehlers Two-Pole High Pass Filter
pr(_src, _length)
pr Calculates the percentage rank (PR) of a value within a range.
smma(_src, _length)
Calculates the SMMA (Smoothed Moving Average)
hullma(_src, _length)
Calculates the Hull Moving Average (HullMA)
tma(_src, _length)
Calculates the Triple Moving Average (TMA)
dema(_src, _length)
Calculates the Double Exponential Moving Average (DEMA)
tema(_src, _length)
Calculates the Triple Exponential Moving Average (TEMA)
w2ma(_src, _length)
Calculates the Normalized Double Moving Average (N2MA)
f_getfilter(_type, _src, _length)
Calculates various types of filters
ملاحظات الأخبار
v4Added:
harmonic_mean(_src, _length)
harmonic_mean
Parameters:
_src (float)
_length (simple int)
Returns: Harmonic mean of the values in the array
geometric_mean(_src, _length)
geometric_mean
Parameters:
_src (float)
_length (simple int)
Returns: Geometric mean of the values in the array
quadratic_mean(_src, _length)
quadratic_mean
Parameters:
_src (float)
_length (simple int)
Returns: Quadratic mean of the values in the array
gst_dev(_src, _length)
gstdev
Parameters:
_src (float)
_length (simple int)
Returns: Geometric standard deviation of the values in the array
hst_dev(_src, _length)
hstdev
Parameters:
_src (float)
_length (simple int)
Returns: Harmonic standard deviation of the values in the array
avg_dev(_src, _length, base)
avgdev
Parameters:
_src (float)
_length (simple int)
base (float): Float base value for deviation calculation
Returns: Average deviation of the values in the array
std_dev(_src, _length, base)
stddev
Parameters:
_src (float)
_length (simple int)
base (float): Float base value for deviation calculation
Returns: Standard deviation of the values in the array
med_abs_dev(_src, _length, base)
mdev
Parameters:
_src (float)
_length (simple int)
base (float): Float base value for deviation calculation
Returns: Median of the absolute deviations of the values in the array from the base value
SGFilter(_length, _degree)
sgFilter
Parameters:
_length (int): Integer representing the _length of the array
_degree (float): Integer representing the _degree for calculation
Returns: The Savitzky-Golay filter value
PID(_src, _ma_setpoint, _kP, _kI, _kIc, _kD, _pow, _smoother)
Parameters:
_src (float)
_ma_setpoint (float)
_kP (float)
_kI (float)
_kIc (float)
_kD (float)
_pow (float)
_smoother (simple int)
Updated:
Ehlers_EMA(_src, _length)
Calculates the Ehlers _pow Moving Average (Ehlers_EMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA
Returns: The Ehlers EMA value
Ehlers_EMA_fast(_src, _length)
Calculates the Ehlers _pow Moving Average (EMA) Fast
Parameters:
_src (float): The source series for calculation
_length (simple int): The length for the Ehlers EMA Fast
Returns: The Ehlers EMA Fast value
DEMA(_src, _length)
Calculates the Double _pow Moving Average (DEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the DEMA
Returns: The DEMA value
TEMA(_src, _length)
Calculates the Triple _pow Moving Average (TEMA)
Parameters:
_src (float): The source series for calculation
_length (simple int): The _length of the TEMA
Returns: The TEMA value
A2RMA(_src, _length, _gamma)
A2RMA - Adaptive Autonomous Recursive Moving Average
Parameters:
_src (float): Source float input used for the calculation
_length (simple int): Integer value rePResenting the length of the period
_gamma (simple float): Integer value rePResenting a factor for the calculation
Returns: the value of the adaptive moving average
ملاحظات الأخبار
v5Added:
SGCoeffs(_length, _degree)
sgCoeffs
Parameters:
_length (int): Integer representing the l_ength of the array
_degree (float): Integer representing the _degree for calculation
Returns: An array of coefficients for the Savitzky-Golay filter
ama(_x, _src, _length)
ama (not Exported)
Parameters:
_x (float): Input value for the ama function
_src (float)
_length (simple int)
Returns: a float value calculated based on the efficiency ratio and input value
cosh(x)
Parameters:
x (float)
acosh(x)
Parameters:
x (float)
sinh(x)
Parameters:
x (float)
asinh(x)
Parameters:
x (float)
atan(x)
Parameters:
x (float)
minMaxNormalize(_src, _length)
: minMaxNormalize
Parameters:
_src (float)
_length (int)
zScoreNormalize(_src, _length)
: zScoreNormalize
Parameters:
_src (float)
_length (int)
maxAbsNormalize(_src, _length)
: maxAbsNormalize
Parameters:
_src (float)
_length (int)
robustNormalize(_src, _length)
: robustNormalize
Parameters:
_src (float)
_length (int)
logTransform(_src)
: logTransform
Parameters:
_src (float)
powerTransform(_src)
: powerTransform
Parameters:
_src (float)
l1Normalize(_src, _length)
: l1Normalize
Parameters:
_src (float)
_length (int)
l2Normalize(_src, _length)
: l2Normalize
Parameters:
_src (float)
_length (int)
quantileTransform(_src, _length)
: quantileTransform
Parameters:
_src (float)
_length (int)
calc_operation(_src1, _src2, operation)
: This function calculates based on selected operation
Parameters:
_src1 (float)
_src2 (float)
operation (string)
calc_and_normalize(_src1, _length, normMethod)
: calc_and_normalize
Parameters:
_src1 (float)
_length (int)
normMethod (string)
مكتبة باين
كمثال للقيم التي تتبناها TradingView، نشر المؤلف شيفرة باين كمكتبة مفتوحة المصدر بحيث يمكن لمبرمجي باين الآخرين من مجتمعنا استخدامه بحرية. تحياتنا للمؤلف! يمكنك استخدام هذه المكتبة بشكل خاص أو في منشورات أخرى مفتوحة المصدر، ولكن إعادة استخدام هذا الرمز في المنشورات تخضع لقواعد الموقع.
djmad|Bitblockart
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.
مكتبة باين
كمثال للقيم التي تتبناها TradingView، نشر المؤلف شيفرة باين كمكتبة مفتوحة المصدر بحيث يمكن لمبرمجي باين الآخرين من مجتمعنا استخدامه بحرية. تحياتنا للمؤلف! يمكنك استخدام هذه المكتبة بشكل خاص أو في منشورات أخرى مفتوحة المصدر، ولكن إعادة استخدام هذا الرمز في المنشورات تخضع لقواعد الموقع.
djmad|Bitblockart
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.