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Arrays

FunctionLinearRegressionLibrary "FunctionLinearRegression" Method for Linear Regression using array sample points. linreg(sample_x, sample_y) Performs Linear Regression over the provided sample points.   Parameters:      sample_x : float array, sample points X value.      sample_y : float array, sample points Y value.   Returns: tuple with: _predictions: Array with adjusted Y values. _max_dev: Max deviation from the mean. _min_dev: Min deviation from the mean. _stdev/_sizeX: Average deviation from the mean. draw(sample_x, sample_y, extend, mid_color, mid_style, mid_width, std_color, std_style, std_width, max_color, max_style, max_width) Method for drawing the Linear Regression into chart.   Parameters:      sample_x : float array, sample point X value.      sample_y : float array, sample point Y value.      extend : string, default=extend.none, extend lines.      mid_color : color, default=color.blue, middle line color.      mid_style : string, default=line.style_solid, middle line style.      mid_width : int, default=2, middle line width.      std_color : color, default=color.aqua, standard deviation line color.      std_style : string, default=line.style_dashed, standard deviation line style.      std_width : int, default=1, standard deviation line width.      max_color : color, default=color.purple, max range line color.      max_style : string, default=line.style_dotted, max line style.      max_width : int, default=1, max line width.   Returns: line array.
ספריית Pine Script™
מאת ‎RicardoSantos‎
10
CreateAndShowZigzagLibrary "CreateAndShowZigzag" Functions in this library creates/updates zigzag array and shows the zigzag getZigzag(zigzag, prd, max_array_size) calculates zigzag using period Parameters: zigzag : is the float array for the zigzag (should be defined like "var zigzag = array.new_float(0)"). each zigzag points contains 2 element: 1. price level of the zz point 2. bar_index of the zz point prd : is the length to calculate zigzag waves by highest(prd)/lowest(prd) max_array_size : is the maximum number of elements in zigzag, keep in mind each zigzag point contains 2 elements, so for example if it's 10 then zigzag has 10/2 => 5 zigzag points Returns: dir that is the current direction of the zigzag showZigzag(zigzag, oldzigzag, dir, upcol, dncol) this function shows zigzag Parameters: zigzag : is the float array for the zigzag (should be defined like "var zigzag = array.new_float(0)"). each zigzag points contains 2 element: 1. price level of the zz point 2. bar_index of the zz point oldzigzag : is the float array for the zigzag, you get copy the zigzag array to oldzigzag by "oldzigzag = array.copy(zigzay)" before calling get_zigzag() function dir : is the direction of the zigzag wave upcol : is the color of the line if zigzag direction is up dncol : is the color of the line if zigzag direction is down Returns: null
ספריית Pine Script™
מאת ‎LonesomeTheBlue‎
17
MathComplexEvaluateLibrary "MathComplexEvaluate" TODO: add library description here is_op(char) Check if char is a operator. Parameters: char : string, 1 character string. Returns: bool. operator(op, left, right) operation between left and right values. Parameters: op : string, operator string character. left : float, left value of operation. right : float, right value of operation. operator_precedence(op) level of precedence of operator. Parameters: op : string, operator 1 char string. Returns: int. eval() evaluate a string with references to a array of arguments. | @param tokens string, arithmetic operations with references to indices in arguments, ex:"0+1*0+2*2+3" arguments | @param arguments float array, arguments. | @returns float, solution.
ספריית Pine Script™
מאת ‎RicardoSantos‎
1
MathComplexTrignometryLibrary "MathComplexTrignometry" Methods for complex number trignometry operations. sinh(complex) Hyperbolic Sine of complex number. Parameters: complex : float array, complex number. Returns: float array. cosh(complex) Hyperbolic cosine of complex number. Parameters: complex : float array, complex number. Returns: float array. tanh(complex) Hyperbolic tangent of complex number. Parameters: complex : float array, complex number. Returns: float array. coth(complex) Hyperbolic cotangent of complex number. Parameters: complex : float array, complex number. Returns: float array. sech(complex) Hyperbolic Secant of complex number. Parameters: complex : float array, complex number. Returns: float array. csch(complex) Hyperbolic Cosecant of complex number. Parameters: complex : float array, complex number. Returns: float array. sin(complex) Trigonometric Sine of complex number. Parameters: complex : float array, complex number. Returns: float array. cos(complex) Trigonometric cosine of complex number. Parameters: complex : float array, complex number. Returns: float array. tan(complex) Trigonometric tangent of complex number. Parameters: complex : float array, complex number. Returns: float array. cot(complex) Trigonometric cotangent of complex number. Parameters: complex : float array, complex number. Returns: float array. sec(complex) Trigonometric Secant of complex number. Parameters: complex : float array, complex number. Returns: float array. csc(complex) Trigonometric Cosecant of complex number. Parameters: complex : float array, complex number. Returns: float array. asin(complex) Trigonometric Arc Sine of complex number. Parameters: complex : float array, complex number. Returns: float array. acos(complex) Trigonometric Arc Cosine of complex number. Parameters: complex : float array, complex number. Returns: float array. atan(complex) Trigonometric Arc Tangent of complex number. Parameters: complex : float array, complex number. Returns: float array. acot(complex) Trigonometric Arc Cotangent of complex number. Parameters: complex : float array, complex number. Returns: float array. asec(complex) Trigonometric Arc Secant of complex number. Parameters: complex : float array, complex number. Returns: float array. acsc(complex) Trigonometric Arc Cosecant of complex number. Parameters: complex : float array, complex number. Returns: float array. asinh(complex) Hyperbolic Arc Sine of complex number. Parameters: complex : float array, complex number. Returns: float array. acosh(complex) Hyperbolic Arc Cosine of complex number. Parameters: complex : float array, complex number. Returns: float array. atanh(complex) Hyperbolic Arc Tangent of complex number. Parameters: complex : float array, complex number. Returns: float array. acoth(complex) Hyperbolic Arc Cotangent of complex number. Parameters: complex : float array, complex number. Returns: float array. asech(complex) Hyperbolic Arc Secant of complex number. Parameters: complex : float array, complex number. Returns: float array. acsch(complex) Hyperbolic Arc Cosecant of complex number. Parameters: complex : float array, complex number. Returns: float array.
ספריית Pine Script™
מאת ‎RicardoSantos‎
MathComplexExtensionLibrary "MathComplexExtension" A set of utility functions to handle complex numbers. get_phase(complex_number, in_radians) The phase value of complex number complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . in_radians : boolean, value for the type of angle value, default=true, options=(true: radians, false: degrees) Returns: float value with phase. natural_logarithm(complex_number) Natural logarithm of complex number (base E). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, complex number. common_logarithm(complex_number) Common logarithm of complex number (base 10). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, complex number. logarithm(complex_number, base) Common logarithm of complex number (custom base). Parameters: complex_number : float array, pseudo complex number in the form of a array . base : float, base value. Returns: float array, complex number. power(complex_number, complex_exponent) Raise complex_number with complex_exponent. Parameters: complex_number : float array, pseudo complex number in the form of a array . complex_exponent : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array root(complex_number, complex_exponent) Raise complex_number with inverse of complex_exponent. Parameters: complex_number : float array, pseudo complex number in the form of a array . complex_exponent : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array square(complex_number) Square of complex_number (power 2). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array square_root(complex_number) Square root of complex_number (power 1/2). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array square_roots(complex_number) Square root of complex_number (power 1/2). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: tuple with 2 complex numbers. cubic_roots(complex_number) Square root of complex_number (power 1/2). Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: tuple with 2 complex numbers. to_polar_form(complex_number, in_radians) The polar form value of complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . in_radians : boolean, value for the type of angle value, default=true, options=(true: radians, false: degrees) Returns: float array, pseudo complex number in the form of a array ** returns a array
ספריית Pine Script™
מאת ‎RicardoSantos‎
MathComplexOperatorLibrary "MathComplexOperator" A set of utility functions to handle complex numbers. conjugate(complex_number) Computes the conjugate of complex_number by reversing the sign of the imaginary part. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array add(complex_number_a, complex_number_b) Adds complex number complex_number_b to complex_number_a, in the form: . Parameters: complex_number_a : pseudo complex number in the form of a array . complex_number_b : pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array subtract(complex_number_a, complex_number_b) Subtract complex_number_b from complex_number_a, in the form: . Parameters: complex_number_a : float array, pseudo complex number in the form of a array . complex_number_b : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array multiply(complex_number_a, complex_number_b) Multiply complex_number_a with complex_number_b, in the form: Parameters: complex_number_a : float array, pseudo complex number in the form of a array . complex_number_b : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array divide(complex_number_a, complex_number_b) Divide complex_number _a with _b, in the form: Parameters: complex_number_a : float array, pseudo complex number in the form of a array . complex_number_b : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array reciprocal(complex_number) Computes the reciprocal or inverse of complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array negative(complex_number) Negative of complex_number, in the form: Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array inverse(complex_number) Inverse of complex_number, in the form: Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array exponential(complex_number) Exponential of complex_number. Parameters: complex_number : pseudo complex number in the form of a array . Returns: float array, pseudo complex number in the form of a array ceil(complex_number, digits) Ceils complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . digits : int, digits to use as ceiling. Returns: _complex: pseudo complex number in the form of a array radius(complex_number) Radius(magnitude) of complex_number, in the form: This is defined as its distance from the origin (0,0) of the complex plane. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float value with radius. magnitude(complex_number) magnitude(absolute value) of complex_number, should be the same as the radius. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float. magnitude_squared(complex_number) magnitude(absolute value) of complex_number, should be the same as the radius. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float. sign(complex_number) Unity of complex numbers. Parameters: complex_number : float array, pseudo complex number in the form of a array . Returns: float array, complex number.
ספריית Pine Script™
מאת ‎RicardoSantos‎
8
MathComplexArrayLibrary "MathComplexArray" Array methods to handle complex number arrays. new(size, initial_complex) Prototype to initialize a array of complex numbers. Parameters: size : size of the array. initial_complex : Complex number to be used as default value, in the form of array . Returns: float array, pseudo complex Array in the form of a array get(id, index) Get the complex number in a array, in the form of a array Parameters: id : float array, ID of the array. index : int, Index of the complex number. Returns: float array, pseudo complex number in the form of a array set(id, index, complex_number) Sets the values complex number in a array. Parameters: id : float array, ID of the array. index : int, Index of the complex number. complex_number : float array, Complex number, in the form: . Returns: Void, updates array id. push(id, complex_number) Push the values into a complex number array. Parameters: id : float array, ID of the array. complex_number : float array, Complex number, in the form: . Returns: Void, updates array id. pop(id, complex_number) Pop the values from a complex number array. Parameters: id : float array, ID of the array. complex_number : float array, Complex number, in the form: . Returns: Void, updates array id. to_string(id, format) Reads a array of complex numbers into a string, of the form: " [ , ... ]"" Parameters: id : float array, ID of the array. format : string, format of the number conversion, default='#.##########'. Returns: string, translated complex array into string.
ספריית Pine Script™
מאת ‎RicardoSantos‎
MathComplexCoreLibrary "MathComplexCore" Core functions to handle complex numbers. set_real(complex_number, real) Set the real part of complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . real : float, value to replace real value of complex_number. Returns: Void, Modifies complex_number. set_imaginary(complex_number, imaginary) Set the imaginary part of complex_number. Parameters: complex_number : float array, pseudo complex number in the form of a array . imaginary : float, value to replace imaginary value of complex_number. Returns: Void, Modifies complex_number. new(real, imaginary) Creates a prototype array to handle complex numbers. Parameters: real : float, real value of the complex number. default=0. imaginary : float, imaginary number of the complex number. default=0. @return float array, pseudo complex number in the form of a array . zero() complex number "0+0i". @return float array, pseudo complex number in the form of a array . one() complex number "1+0i". @return float array, pseudo complex number in the form of a array . imaginary_one() complex number "0+1i". @return float array, pseudo complex number in the form of a array . nan() complex number "0+1i". @return float array, pseudo complex number in the form of a array . from_polar_coordinates(magnitude, phase) Create a complex number from a point's polar coordinates. Parameters: magnitude : float, default=0.0, The magnitude, which is the distance from the origin (the intersection of the x-axis and the y-axis) to the number. phase : float, default=0.0, The phase, which is the angle from the line to the horizontal axis, measured in radians. @return float array, pseudo complex number in the form of a array . get_real(complex_number) Get the real part of complex_number. Parameters: complex_number : pseudo complex number in the form of a array . Returns: float, Real part of the complex_number. get_imaginary(complex_number) Get the imaginary part of complex_number. Parameters: complex_number : pseudo complex number in the form of a array . Returns: float, Imaginary part of the complex number. is_complex(complex_number) Checks that its a valid complex_number. Parameters: complex_number : pseudo complex number in the form of a array . Returns: bool. is_nan(complex_number) Checks that its empty "na" complex_number. Parameters: complex_number : pseudo complex number in the form of a array . Returns: bool. is_real(complex_number) Checks that the complex_number is real. Parameters: complex_number : pseudo complex number in the form of a array . Returns: bool. is_real_non_negative(complex_number) Checks that the complex_number is real and not negative. Parameters: complex_number : pseudo complex number in the form of a array . Returns: bool. is_zero(complex_number) Checks that the complex_number is zero. Parameters: complex_number : pseudo complex number in the form of a array . Returns: bool. equals(complex_number_a, complex_number_b) Compares two complex numbers: Parameters: complex_number_a : float array, pseudo complex number in the form of a array . complex_number_b : float array, pseudo complex number in the form of a array . Returns: boolean value representing the equality. to_string(complex, format) Converts complex_number to a string format, in the form: "a+bi" Parameters: complex : pseudo complex number in the form of a array . format : string, formating to apply. Returns: a string in "a+bi" format
ספריית Pine Script™
מאת ‎RicardoSantos‎
1
FunctionBestFitFrequencyLibrary "FunctionBestFitFrequency" TODO: add library description here array_moving_average(sample, length, ommit_initial, fillna) Moving Average values for selected data. Parameters: sample : float array, sample data values. length : int, length to smooth the data. ommit_initial : bool, default=true, ommit values at the start of the data under the length. fillna : string, default='na', options='na', '0', 'avg' Returns: float array errors: length > sample size "Canot call array methods when id of array is na." best_fit_frequency(sample, start, end) Search a frequency range for the fairest moving average frequency. Parameters: sample : float array, sample data to based the moving averages. start : int lowest frequency. end : int highest frequency. Returns: tuple with (int frequency, float percentage)
ספריית Pine Script™
מאת ‎RicardoSantos‎
ArrayStatisticsLibrary "ArrayStatistics" Statistic Functions using arrays. rms(sample) Root Mean Squared Parameters: sample : float array, data sample points. Returns: float skewness_pearson1(sample) Pearson's 1st Coefficient of Skewness. Parameters: sample : float array, data sample. Returns: float skewness_pearson2(sample) Pearson's 2nd Coefficient of Skewness. Parameters: sample : float array, data sample. Returns: float pearsonr(sample_a, sample_b) Pearson correlation coefficient measures the linear relationship between two datasets. Parameters: sample_a : float array, sample with data. sample_b : float array, sample with data. Returns: float p kurtosis(sample) Kurtosis of distribution. Parameters: sample : float array, data sample. Returns: float range_int(sample, percent) Get range around median containing specified percentage of values. Parameters: sample : int array, Histogram array. percent : float, Values percentage around median. Returns: tuple with , Returns the range which containes specifies percentage of values.
ספריית Pine Script™
מאת ‎RicardoSantos‎
1
ArrayOperationsIntLibrary "ArrayOperationsInt" Array Basic Operations for Integers add(sample_a, sample_b) Adds sample_b to sample_a and returns a new array. Parameters: sample_a : values to be added to. sample_b : values to add. Returns: int array with added results. subtract(sample_a, sample_b) subtracts sample_b from sample_a and returns a new array. Parameters: sample_a : values to be subtracted from. sample_b : values to subtract. Returns: int array with subtracted results. multiply(sample_a, sample_b) multiply sample_a with sample_b and returns a new array. Parameters: sample_a : values to multiply. sample_b : values to multiply with. Returns: int array with multiplied results. divide(sample_a, sample_b) divide sample_a with sample_b and returns a new array. Parameters: sample_a : values to divide. sample_b : values to divide with. Returns: int array with divided results. power(sample_a, sample_b) rise sample_a to the power of sample_b and returns a new array. Parameters: sample_a : base values to raise. sample_b : values of exponents. Returns: int array with raised results. remainder(sample_a, sample_b) integer remainder of sample_a under the dividend sample_b and returns a new array. Parameters: sample_a : values of quotients. sample_b : values of dividends. Returns: int array with remainder results.
ספריית Pine Script™
מאת ‎RicardoSantos‎
ArrayOperationsFloatLibrary "ArrayOperationsFloat" Array Basic Operations for Integers add(sample_a, sample_b) Adds sample_b to sample_a and returns a new array. Parameters: sample_a : values to be added to. sample_b : values to add. Returns: float array with added results. subtract(sample_a, sample_b) subtracts sample_b from sample_a and returns a new array. Parameters: sample_a : values to be subtracted from. sample_b : values to subtract. Returns: float array with subtracted results. multiply(sample_a, sample_b) multiply sample_a with sample_b and returns a new array. Parameters: sample_a : values to multiply. sample_b : values to multiply with. Returns: float array with multiplied results. divide(sample_a, sample_b) divide sample_a with sample_b and returns a new array. Parameters: sample_a : values to divide. sample_b : values to divide with. Returns: float array with divided results. power(sample_a, sample_b) rise sample_a to the power of sample_b and returns a new array. Parameters: sample_a : base values to raise. sample_b : values of exponents. Returns: float array with raised results. remainder(sample_a, sample_b) float remainder of sample_a under the dividend sample_b and returns a new array. Parameters: sample_a : values of quotients. sample_b : values of dividends. Returns: float array with remainder results.
ספריית Pine Script™
מאת ‎RicardoSantos‎
3
bursamalaysianonshariahLibrary "bursamalaysianonshariah" List of non-Shariah stock for Bursa Malaysia as of Oct 2021 No parameter required status() will return 1 if ticker in the list, 0 if ticker not in the list and 2 if ticker not from Bursa Malaysia Example usage : //@version=5 indicator("My Script", overlay = true) import BURSATRENDBANDCHART/bursamalaysianonshariah/1 as b bgcolor(status() == 1 ? color.new(color.red, 90) : status() == 0 ? color.new(color.green, 90) : color.new(color.blue, 90)) Special thanks to wmsafwan RozaniGhani-RG
ספריית Pine Script™
מאת ‎BURSATRENDBANDCHART‎
15
Vector2OperationsLibrary "Vector2Operations" functions to handle vector2 operations. math_fractional(_value) computes the fractional part of the argument value. Parameters: _value : float, value to compute. Returns: float, fractional part. atan2(_a) Approximation to atan2 calculation, arc tangent of y/ x in the range radians. Parameters: _a : vector2 in the form of a array . Returns: float, value with angle in radians. (negative if quadrante 3 or 4) set_x(_a, _value) Set the x value of vector _a. Parameters: _a : vector2 in the form of a array . _value : value to replace x value of _a. Returns: void Modifies vector _a. set_y(_a, _value) Set the y value of vector _a. Parameters: _a : vector in the form of a array . _value : value to replace y value of _a. Returns: void Modifies vector _a. get_x(_a) Get the x value of vector _a. Parameters: _a : vector in the form of a array . Returns: float, x value of the vector _a. get_y(_a) Get the y value of vector _a. Parameters: _a : vector in the form of a array . Returns: float, y value of the vector _a. get_xy(_a) Return the tuple of vector _a in the form Parameters: _a : vector2 in the form of a array . Returns: length_squared(_a) Length of vector _a in the form. , for comparing vectors this is computationaly lighter. Parameters: _a : vector in the form of a array . Returns: float, squared length of vector. length(_a) Magnitude of vector _a in the form. Parameters: _a : vector in the form of a array . Returns: float, Squared length of vector. vmin(_a) Lowest element of vector. Parameters: _a : vector in the form of a array . Returns: float vmax(_a) Highest element of vector. Parameters: _a : vector in the form of a array . Returns: float from(_value) Assigns value to a new vector x,y elements. Parameters: _value : x and y value of the vector. optional. Returns: float vector. new(_x, _y) Creates a prototype array to handle vectors. Parameters: _x : float, x value of the vector. optional. _y : float, y number of the vector. optional. Returns: float vector. down() Vector in the form . Returns: float vector. left() Vector in the form . Returns: float vector. one() Vector in the form . Returns: float vector. right() Vector in the form . Returns: float vector up() Vector in the form . Returns: float vector zero() Vector in the form . Returns: float vector add(_a, _b) Adds vector _b to _a, in the form . Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: subtract(_a, _b) Subtract vector _b from _a, in the form . Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: multiply(_a, _b) Multiply vector _a with _b, in the form Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: divide(_a, _b) Divide vector _a with _b, in the form Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: negate(_a) Negative of vector _a, in the form Parameters: _a : vector in the form of a array . Returns: perp(_a) Perpendicular Vector of _a. Parameters: _a : vector in the form of a array . Returns: vfloor(_a) Compute the floor of argument vector _a. Parameters: _a : vector in the form of a array . Returns: fractional(_a) Compute the fractional part of the elements from vector _a. Parameters: _a : vector in the form of a array . Returns: vsin(_a) Compute the sine of argument vector _a. Parameters: _a : vector in the form of a array . Returns: equals(_a, _b) Compares two vectors Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: boolean value representing the equality. dot(_a, _b) Dot product of 2 vectors, in the form Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float cross_product(_a, _b) cross product of 2 vectors, in the form Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float scale(_a, _scalar) Multiply a vector by a scalar. Parameters: _a : vector in the form of a array . _scalar : value to multiply vector elements by. Returns: float vector normalize(_a) Vector _a normalized with a magnitude of 1, in the form. Parameters: _a : vector in the form of a array . Returns: float vector rescale(_a) Rescale a vector to a new Magnitude. Parameters: _a : vector in the form of a array . Returns: rotate(_a, _radians) Rotates vector _a by angle value Parameters: _a : vector in the form of a array . _radians : Angle value. Returns: rotate_degree(_a, _degree) Rotates vector _a by angle value Parameters: _a : vector in the form of a array . _degree : Angle value. Returns: rotate_around(_center, _target, _degree) Rotates vector _target around _origin by angle value Parameters: _center : vector in the form of a array . _target : vector in the form of a array . _degree : Angle value. Returns: vceil(_a, _digits) Ceils vector _a Parameters: _a : vector in the form of a array . _digits : digits to use as ceiling. Returns: vpow(_a) Raise both vector elements by a exponent. Parameters: _a : vector in the form of a array . Returns: distance(_a, _b) vector distance between 2 vectors. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float, distance. project(_a, _axis) Project a vector onto another. Parameters: _a : vector in the form of a array . _axis : float vector2 Returns: float vector projectN(_a, _axis) Project a vector onto a vector of unit length. Parameters: _a : vector in the form of a array . _axis : vector in the form of a array . Returns: float vector reflect(_a, _b) Reflect a vector on another. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float vector reflectN(_a, _b) Reflect a vector to a arbitrary axis. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float vector angle(_a) Angle in radians of a vector. Parameters: _a : vector in the form of a array . Returns: float angle_unsigned(_a, _b) unsigned degree angle between 0 and +180 by given two vectors. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float angle_signed(_a, _b) Signed degree angle between -180 and +180 by given two vectors. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float angle_360(_a, _b) Degree angle between 0 and 360 by given two vectors Parameters: _a : vector in the form of a array . _b : vector in the form of a array . Returns: float clamp(_a, _vmin, _vmax) Restricts a vector between a min and max value. Parameters: _a : vector in the form of a array . _vmin : vector in the form of a array . _vmax : vector in the form of a array . Returns: float vector lerp(_a, _b, _rate_of_move) Linearly interpolates between vectors a and b by _rate_of_move. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . _rate_of_move : float value between (a:-infinity -> b:1.0), negative values will move away from b. Returns: vector in the form of a array herp(_a, _b, _rate_of_move) Hermite curve interpolation between vectors a and b by _rate_of_move. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . _rate_of_move : float value between (a-infinity -> b1.0), negative values will move away from b. Returns: vector in the form of a array area_triangle(_a, _b, _c) Find the area in a triangle of vectors. Parameters: _a : vector in the form of a array . _b : vector in the form of a array . _c : vector in the form of a array . Returns: float to_string(_a) Converts vector _a to a string format, in the form "(x, y)" Parameters: _a : vector in the form of a array . Returns: string in "(x, y)" format vrandom(_max) 2D random value Parameters: _max : float vector, vector upper bound Returns: vector in the form of a array noise(_a) 2D Noise based on Morgan McGuire @morgan3d thebookofshaders.com www.shadertoy.com Parameters: _a : vector in the form of a array . Returns: vector in the form of a array array_new(_size, _initial_vector) Prototype to initialize a array of vectors. Parameters: _size : size of the array. _initial_vector : vector to be used as default value, in the form of array . Returns: _vector_array complex Array in the form of a array array_size(_id) number of vector elements in array. Parameters: _id : ID of the array. Returns: int array_get(_id, _index) Get the vector in a array, in the form of a array Parameters: _id : ID of the array. _index : Index of the vector. Returns: vector in the form of a array array_set(_id, _index, _a) Sets the values vector in a array. Parameters: _id : ID of the array. _index : Index of the vector. _a : vector, in the form . Returns: Void, updates array _id. array_push(_id, _a) inserts the vector at the end of array. Parameters: _id : ID of the array. _a : vector, in the form . Returns: Void, updates array _id. array_unshift(_id, _a) inserts the vector at the begining of array. Parameters: _id : ID of the array. _a : vector, in the form . Returns: Void, updates array _id. array_pop(_id, _a) removes the last vector of array and returns it. Parameters: _id : ID of the array. _a : vector, in the form . Returns: vector2, updates array _id. array_shift(_id, _a) removes the first vector of array and returns it. Parameters: _id : ID of the array. _a : vector, in the form . Returns: vector2, updates array _id. array_sum(_id) Total sum of all vectors. Parameters: _id : ID of the array. Returns: vector in the form of a array array_center(_id) Finds the vector center of the array. Parameters: _id : ID of the array. Returns: vector in the form of a array array_rotate_points(_id) Rotate Array vectors around origin vector by a angle. Parameters: _id : ID of the array. Returns: rotated points array. array_scale_points(_id) Scale Array vectors based on a origin vector perspective. Parameters: _id : ID of the array. Returns: rotated points array. array_tostring(_id, _separator) Reads a array of vectors into a string, of the form " "" Parameters: _id : ID of the array. _separator : string separator for cell splitting. Returns: string Translated complex array into string. line_new(_a, _b) 2 vector line in the form. Parameters: _a : vector, in the form . _b : vector, in the form . Returns: line_get_a(_line) Start vector of a line. Parameters: _line : vector4, in the form . Returns: float vector2 line_get_b(_line) End vector of a line. Parameters: _line : vector4, in the form . Returns: float vector2 line_intersect(_line1, _line2) Find the intersection vector of 2 lines. Parameters: _line1 : line of 2 vectors in the form of a array . _line2 : line of 2 vectors in the form of a array . Returns: vector in the form of a array . draw_line(_line, _xloc, _extend, _color, _style, _width) Draws a line using line prototype. Parameters: _line : vector4, in the form . _xloc : string _extend : string _color : color _style : string _width : int Returns: draw line object draw_triangle(_v1, _v2, _v3, _xloc, _color, _style, _width) Draws a triangle using line prototype. Parameters: _v1 : vector4, in the form . _v2 : vector4, in the form . _v3 : vector4, in the form . _xloc : string _color : color _style : string _width : int Returns: tuple with 3 line objects. draw_rect(_v1, _size, _angle, _xloc, _color, _style, _width) Draws a square using vector2 line prototype. Parameters: _v1 : vector4, in the form . _size : float _angle : float _xloc : string _color : color _style : string _width : int Returns: tuple with 3 line objects.
ספריית Pine Script™
מאת ‎RicardoSantos‎
7
SignalProcessingClusteringKMeansLibrary "SignalProcessingClusteringKMeans" K-Means Clustering Method. nearest(point_x, point_y, centers_x, centers_y) finds the nearest center to a point and returns its distance and center index. Parameters: point_x : float, x coordinate of point. point_y : float, y coordinate of point. centers_x : float array, x coordinates of cluster centers. centers_y : float array, y coordinates of cluster centers. @ returns tuple of int, float. bisection_search(samples, value) Bissection Search Parameters: samples : float array, weights to compare. value : float array, weights to compare. Returns: int. label_points(points_x, points_y, centers_x, centers_y) labels each point index with cluster index and distance. Parameters: points_x : float array, x coordinates of points. points_y : float array, y coordinates of points. centers_x : float array, x coordinates of points. centers_y : float array, y coordinates of points. Returns: tuple with int array, float array. kpp(points_x, points_y, n_clusters) K-Means++ Clustering adapted from Andy Allinger. Parameters: points_x : float array, x coordinates of the points. points_y : float array, y coordinates of the points. n_clusters : int, number of clusters. Returns: tuple with 2 arrays, float array, int array.
ספריית Pine Script™
מאת ‎RicardoSantos‎
8
AnalysisInterpolationLoessLibrary "AnalysisInterpolationLoess" LOESS, local weighted Smoothing function. loess(sample_x, sample_y, point_span) LOESS, local weighted Smoothing function. Parameters: sample_x : int array, x values. sample_y : float array, y values. point_span : int, local point interval span. aloess(sample_x, sample_y, point_span) aLOESS, adaptive local weighted Smoothing function. Parameters: sample_x : int array, x values. sample_y : float array, y values. point_span : int, local point interval span.
ספריית Pine Script™
מאת ‎RicardoSantos‎
11
ArrayExtensionLibrary "ArrayExtension" Functions to extend Arrays. index_2d_to_1d(dimension_x, dimension_y, index_x, index_y) returns the flatened one dimension index of a two dimension array. Parameters: dimension_x : int, dimension of X. dimension_y : int, dimension of Y. index_x : int, index of X. index_y : int, index of Y. Returns: int, index in 1 dimension index_3d_to_1d(dimension_x, dimension_y, dimension_z, index_x, index_y, index_z) returns the flatened one dimension index of a three dimension array. Parameters: dimension_x : int, dimension of X. dimension_y : int, dimension of Y. dimension_z : int, dimension of Z. index_x : int, index of X. index_y : int, index of Y. index_z : int, index of Z. Returns: int, index in 1 dimension down_sample(sample, new_size) Down samples a array to a specified size. Parameters: sample : float array, array with source data. new_size : new size of down sampled array. Returns: float array with down sampled data. sort_indices_float(sample, order) Sorts array and returns a extra array with sorting indices. Parameters: sample : float array with values to be sorted. order : string, default='forward', options='forward', 'backward'. Returns: _indices int array with indices. _ordered float array with ordered values. sort_indices_int(sample, order) Sorts array and returns a extra array with sorting indices. Parameters: sample : int array with values to be sorted. order : string, default='forward', options='forward', 'backward'. Returns: _indices int array with indices. _ordered float array with ordered values. sort_bool_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : bool array with data sample to be sorted. Returns: bool array sort_box_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : box array with data sample to be sorted. Returns: box array sort_color_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : color array with data sample to be sorted. Returns: color array sort_float_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : float array with data sample to be sorted. Returns: float array sort_int_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : int array with data sample to be sorted. Returns: int array sort_label_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : label array with data sample to be sorted. Returns: label array sort_line_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : line array with data sample to be sorted. Returns: line array sort_string_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : string array with data sample to be sorted. Returns: string array sort_table_from_indices(indices, sample) Sorts sample array using a array with indices. Parameters: indices : int array with positional indices. sample : table array with data sample to be sorted. Returns: table array sort_bool_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : bool array with data sample to be sorted. Returns: void updates sample array. sort_box_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : box array with data sample to be sorted. Returns: void updates sample sort_color_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : color array with data sample to be sorted. Returns: void updates sample sort_float_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : float array with data sample to be sorted. Returns: void updates sample sort_int_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : int array with data sample to be sorted. Returns: void updates sample sort_label_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : label array with data sample to be sorted. Returns: void updates sample sort_line_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : line array with data sample to be sorted. Returns: void updates sample sort_string_inplace_from_indices(indices, sample) Sorts sample inplace array using a array with indices. Parameters: indices : int array with positional indices. sample : string array with data sample to be sorted. Returns: void updates sample sort_table_inplace_from_indices(indices, sample) Sorts sample array inplace using a array with indices. Parameters: indices : int array with positional indices. sample : table array with data sample to be sorted. Returns: void updates sample to_float(sample) Transform a integer array into a float array Parameters: sample : int array, sample data to transform. Returns: float array to_int(sample, method) Transform a float array into a int array Parameters: sample : float array, sample data to transform. method : string, default="round", options= , aproximation method. Returns: int array
ספריית Pine Script™
מאת ‎RicardoSantos‎
3
ArrayGenerateLibrary "ArrayGenerate" Functions to generate arrays. sequence_int(start, end, step) returns a sequence of int numbers. Parameters: start : int, begining of sequence range. end : int, end of sequence range. step : int, step, default=1 . Returns: int , array. sequence_float(start, end, step) returns a sequence of float numbers. Parameters: start : float, begining of sequence range. end : float, end of sequence range. step : float, step, default=1.0 . Returns: float , array. sequence_from_series(src, length, shift, direction_forward) Creates a array from a series sample range. Parameters: src : series, any kind. length : int, window period in bars to sample series. shift : int, window period in bars to shift backwards the data sample, default=0. direction_forward : bool, sample from start to end or end to start order, default=true. Returns: float array normal_distribution(size, mean, dev) Generate normal distribution random sample. Parameters: size : int, size of array mean : float, mean of the sample, (default=0.0). dev : float, deviation of the sample from the mean, (default=1.0). Returns: float array. log_spaced(length, start_exp, stop_exp) Generate a base 10 logarithmically spaced sample sequence. Parameters: length : int, length of the sequence. start_exp : float, start exponent. stop_exp : float, stop exponent. Returns: float array. linear_range(stop, start) Generate a linearly spaced sample vector within the inclusive interval (start, stop) and step 1. Parameters: stop : float, stop value. start : float, start value, (default=0.0). Returns: float array. periodic_wave(length, sampling_rate, frequency, amplitude, phase, delay) Create a periodic wave. Parameters: length : int, the number of samples to generate. sampling_rate : float, samples per time unit (Hz). Must be larger than twice the frequency to satisfy the Nyquist criterion. frequency : float, frequency in periods per time unit (Hz). amplitude : float, the length of the period when sampled at one sample per time unit. This is the interval of the periodic domain, a typical value is 1.0, or 2*Pi for angular functions. phase : float, optional phase offset. delay : int, optional delay, relative to the phase. Returns: float array. sinusoidal(length, sampling_rate, frequency, amplitude, mean, phase, delay) Create a Sine wave. Parameters: length : int, The number of samples to generate. sampling_rate : float, Samples per time unit (Hz). Must be larger than twice the frequency to satisfy the Nyquist criterion. frequency : float, Frequency in periods per time unit (Hz). amplitude : float, The maximal reached peak. mean : float, The mean, or DC part, of the signal. phase : float, Optional phase offset. delay : int, Optional delay, relative to the phase. Returns: float array. periodic_impulse(length, period, amplitude, delay) Create a periodic Kronecker Delta impulse sample array. Parameters: length : int, The number of samples to generate. period : int, impulse sequence period. amplitude : float, The maximal reached peak. delay : int, Offset to the time axis. Zero or positive. Returns: float array.
ספריית Pine Script™
מאת ‎RicardoSantos‎
1
Matrix_Functions_Lib_JDLibrary "Matrix_Functions_Lib_JD" This is a library to add matrix / 2D array functionality to Pinescript. once you import the library at the beginning of your script, you can add all the functions described below just by calling them like you do any other built'in function. Enjoy, Gr, JD. PS. if you find functionality or calculation errors in the functions, please let me know, so I can fix them. There are quite a lot of functions, so little mishaps may have slipped in! ;-) get_nr_of_rows() Returns the number of rows from a 2D matrix get_nr_of_columns() Returns the number of columns from a 2D matrix get_size() Returns a tuple with the total number of rows and columns from a 2D matrix init() 2D matrix init function, builds a 2D matrix with dimensional metadata in first two values and fills it with a default value, the body of the actual matrix data starts at index 2. from_list() 2D matrix init function, builds a 2D matrix from an existing array by adding dimensional metadata in first two values, the body of the actual matrix data consists of the data of the source array and starts at index 2. set() Sets values in 2D matrix with (row index, column index) (index for rows and columns both starts at 0 !!) fill_val() Fills all elements in a 2D matrix with a value randomize() Fills a 2D matrix with random values// get() Gets values from 2D matrix with (row index, column index) (index for rows and columns both starts at 0 !!) copy_slice_body() Cuts off the metadata header and returns the array body, WITHOUT THE DIMENSIONAL METADATA!! do_slice This variable should be set as: - 'false' to only make a copy, changes to the new array copy will NOT ALTER the ORIGINAL - 'true' to make a slice, changes to the new array slice WILL(!) ALTER the ORIGINAL get_record() Gets /retrieve the values from a ROW/RECORD from a certain row/lookback period, the values are returned as an array get_row_index() Gets the row nr. in a 2D matrix from 1D index (index for rows and columns both starts at 0 !!) get_column_index() Gets the column nr. in a 2D matrix from 1D index (index for rows and columns both starts at 0 !!) get_row_column_index() Gets a tuple with the (row, column) coordinates in 2D matrix from 1D index (index starts at 0 and does not include the header!!) get_array_index() Gets the 1D index from (row, column) coordinates in 2D matrix (index for row and column both starts at 0 !! Index starts at 0 and does not include the header!!) remove_rows() Removes one or more rows/records from a 2D matrix (if from_row = to_row, only this row is removed) remove_columns() Remove one or more columns from a 2D matrix (if from_column = to_column, only this column is removed) insert_array_of_rows() Insert an array of rows/records at a certain row number in a 2D matrix add_row() ADDS a ROW/RECORD on the TOP of a sheet, shift the whole list one down and gives the option to REMOVE the OLDEST row/record. (2D version of "unshift" + "pop" but with a whole row at once) insert_array_of_columns() Insert an array of columns at a certain column number in a 2D matrix append_array_of_rows() Appends/adds an array of rows/records to the bottom of a 2D matrix append_array_of_columns() Appends/adds an array of columns to the right side of a 2D matrix pop_row() Removes / pops and returns the last row/record from a 2D matrix. pop_column() Removes / pops and returns the last (most right) column from a 2D matrix. replace() abs() add_value() Returns a new matrix with the same value added to all the elements of the source matrix. addition() Returns a new matrix with the of the elements of one 2D matrix added to every corresponding element of a source 2D matrix. subtract_value() Returns a new matrix with the same value subtracted from every element of a 2D matrix subtraction() Returns a new matrix with the values of the elements of one 2D matrix subtracted from every corresponding element of a source 2D matrix. scalar_multipy() Returns a new matrix with all the elements of the source matrix scaled/multiplied by a scalar value. transpose() Returns a new matrix with the elements of the source matrix transposed. multiply_elem() Performs ELEMENT WISE MULTIPLICATION of 2D matrices, returns a new matrix c. multiply() Performs DOT PROCUCT MULTIPLICATION of 2D matrices, returns a new matrix c. determinant_2x2() Calculates the determinant of 2x2 matrices. determinant_3x3() Calculates the determinant of 3x3 matrices. determinant_4x4() Calculates the determinant of 4x4 matrices. print() displays a 2D matrix in a table layout.
ספריית Pine Script™
מאת ‎Duyck‎
8
Hx MTF Sorted MAs Panel with Freeze WarningThis script displays the close price and 4 sorted moving averages of your choice in a small repositionable panel and, when used on a higher timeframe, warns you when values may be different from actual values in the higher timeframe, inciting you to double check the actual values of the moving averages in the higher timeframe the panel is supposed to reflect. The 4 moving averages and close are sorted together, providing you with a bird’s-eye view of their relative positions, the same way moving averages and last price values are displayed on the right scale. The black header reminds of: (1) the timeframe (resolution) used in the panel (2) the remaining time before a new bar is created in the panel timeframe. Note that this remaining time is different from the one on the right scale, since it is only updated when a new transaction occurs. Below, price and moving averages are sorted, color coded and followed by: (1) a trend indicator ↗ or ↘ meaning that last change is up or down (2) the number of bars since the moving average is above or below close (0 means current bar). This is obviously not displayed after the close price line (white background color). Use This panel was basically developed to display higher timeframe data but it can also be used with the same timeframe as chart for example if you do not want to plot moving averages on your chart but are still interested in their trends and relative positions vs price. If you see something strange (like header is not black and displays NaN), it just means you requested moving averages that are not available in the panel timeframe. This may happen with newly introduced cryptos and “long” MA timeframes. Different Timeframe If you choose to use the panel on a different timeframe than the current one, be aware that you should only use timeframes higher than the current one, as per Tradingview recommendations. If you select a lower timeframe than the current one, the panel timeframe header cell will turn to the alert color you set (fuchsia by default). After tinkering for a while with the security function, I noticed that sometimes indicator values “freeze” (i.e. stop udating) and I have found no workaround. What I mean is that when you look at a sma on a 5 minutes timeframe (the reference) and look at this same sma on a 5 minutes timeframe but from a lower timeframe through the security function set with a timeframe of 5 minutes, values returned by the security function are not always up to date and “freeze”. That’s the bad news. Freeze warning The better news is that this unexpected behaviour seems to be predictable, at least on minutes timeframes and I implemented an indicator that endeavors to detecting such situations. When the panel believes data may be frozen, the ‘Remaining Time’ header cell will turn to the alert color. This feature is only implemented on minutes timeframes and can be switched on or off. Other points of interest in this script If you code, this function may also interest you: sortWithIndexes (arrayToSort) returns a tuple (sortedArray, sortedIndexes) and therefore allows multi-dimensional arrays sorting without actually implementing a sorting algorithm 😉. Default Settings The default settings provide an example of commonly used moving averages with associated colors ranked from Hot (more nervous) to Cold (less nervous). These settings are just an example and are NOT meant to be used as a trading system! DYOR! Hope it will be useful. Does the Freeze warning work for you? What do you think of my pseudo sorting algorithm? Enjoy and please let me know what you think in the comments.
אינדיקטור Pine Script™
מאת ‎HDrbx‎
2 Dimensional Array using one floating point entry This is an attempt to create a two dimensional floating point array from the pine single dimension array. It enables some useful array functions like sorting, when you are trying to keep track of price and location in time or bars and you would like to sort the array. Other array functions on this array will not work, like average and other statistical functions - they will provide bad results. I would suggest continuing to use a single dimensional array for each element where that kind of array function is required. I wrote this simply as a mean of using the sort functions when I had to sort price and try to keep the bar location or time in synch. Other array functions could be written to manipulate this kind of array, leave that to others. The goal here was to avoid using for loops which would be a performance impact on large arrays. The basic concept is to create one floating point number from two, put that into an array, and then be able to pull the compound value out and parse out the individual components. I imagine it could also accommodate a 3 or 4 dimensional array with some work, as long as you had some idea of how many digits are consumed by each element. For example you may be interested in storing price, RSI, x_loc values and then be able to sort and parse them out.
אינדיקטור Pine Script™
מאת ‎JohnBaron‎
1