MATH

RicardoSantos

Library "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...

RicardoSantos

Library "HarmonicPattern" Functions to detect/check harmonic patterns from provided values. line_price_rate(point_c, point_b, point_a) Compute the price rate of the line AB divided by the the line BC Parameters: point_c : float, the price at point C. point_b : float, the price at point B. point_a : float, the price at point A. Returns: float ...

RicardoSantos

Library "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...

RicardoSantos

Library "FunctionElementsInArray" Methods to count number of elements in arrays count_float(sample, value) Counts the number of elements equal to provided value in array.   Parameters:      sample : float array, sample data to process.      value : float value to check for equality.   Returns: int. count_int(sample, value) Counts the number of elements...

RicardoSantos

Library "MathConstants" Mathematical Constants E() The number e Log2E() The number log (e) Log10E() The number log (e) Ln2() The number log (2) Ln10() The number log (10) LnPi() The number log (pi) Ln2PiOver2() The number log (2*pi)/2 InvE() The number 1/e SqrtE() The number sqrt(e) Sqrt2() The number sqrt(2) Sqrt3() The number...

RicardoSantos

Library "FunctionPolynomialRegression" TODO: polyreg(sample_x, sample_y) Method to return a polynomial regression channel using (X,Y) sample points.   Parameters:      sample_x : float array, sample data X points.      sample_y : float array, sample data Y points.   Returns: tuple with: _predictions: Array with adjusted Y values. _max_dev: Max...

RicardoSantos

Library "MathTrigonometry" Trigonometric methods. sinc(value) Normalized sinc function. Parameters: value : float, value. Returns: float. cot(value) Cotangent of value. Parameters: value : float, value. Returns: float. csc(value) Cosecant of value. Parameters: value : float, value. Returns: float. sec(value) Secant of...

RicardoSantos

Library "FunctionDaysInMonth" Method to find the number of days in a given month of year. days_in_month(year, month) Method to find the number of days in a given month of year.   Parameters:      year : int, year of month, so we know if year is a leap year or not.      month : int, month number.   Returns: int

RicardoSantos

Library "FunctionSMCMC" Methods to implement Markov Chain Monte Carlo Simulation (MCMC) markov_chain(weights, actions, target_path, position, last_value) a basic implementation of the markov chain algorithm   Parameters:      weights : float array, weights of the Markov Chain.      actions : float array, actions of the Markov Chain.      target_path : float...

RicardoSantos

Library "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...

RicardoSantos

Library "MathGaussFunction" Implements multiple gauss methods. f_1d(point_x, sigma) 1-D Gaussian function. Parameters: point_x : float, x value. sigma : float, sigma value, default=1.0. Returns: float, function's value at point_x. f_2d(point_x, point_y, sigma) 2-D Gaussian function. Parameters: point_x : float, x value. point_y : float, y...

RicardoSantos

Library "FunctionDecisionTree" Method to generate decision tree based on weights. decision_tree(weights, depth) Method to generate decision tree based on weights.   Parameters:      weights : float array, weights for decision consideration.      depth : int, depth of the tree.   Returns: int array

RicardoSantos

Library "FunctionCompoundInterest" Method for compound interest. simple_compound(principal, rate, duration) Computes compound interest for given duration.   Parameters:      principal : float, the principal or starting value.      rate : float, the rate of interest.      duration : float, the period of growth.   Returns: float. variable_compound(principal,...

RicardoSantos

Library "MathSearchDijkstra" Shortest Path Tree Search Methods using Dijkstra Algorithm. min_distance(distances, flagged_vertices) Find the lowest cost/distance. Parameters: distances : float array, data set with distance costs to start index. flagged_vertices : bool array, data set with visited vertices flags. Returns: int, lowest cost/distance...

LonesomeTheBlue

Library "LibraryCheckNthBar" TODO: add library description here canwestart(UTC, prd) this function can be used if current bar is in last Nth bar Parameters: UTC : is UTC of the chart prd : is the length of last Nth bar Returns: true if the current bar is in N bar

RicardoSantos

Library "StringEvaluation" Methods to handle evaluation of strings. is_comma(char) Check if char is a comma ".". Parameters: char : string, 1 character string. Returns: bool. is_op(char) Check if char is a operator. Parameters: char : string, 1 character string. Returns: bool. number(char) convert a single char string into valid...

RicardoSantos

Library "FunctionBoxCoxTransform" Methods to compute the Box-Cox Transformer. regular(sample, lambda) Regular transform.   Parameters:      sample : float array, sample data values.      lambda : float, scaling factor.   Returns: float array. inverse(sample, lambda) Regular transform.   Parameters:      sample : float array, sample data values.     ...

RicardoSantos

Library "MathSpecialFunctionsLogistic" Methods for logistic equation. logistic(probability) Computes the logistic function. Parameters: probability : float, value to compute the logistic function. Returns: float logit(probability) Computes the logit function, the inverse of the sigmoid logistic function. Parameters: probability : float, value to...