Library "MovingAveragesLibrary" This is a library allowing one to select between many different Moving Average formulas to smooth out any float variable. You can use this library to apply a Moving Average function to any series of data as long as your source is a float. The default application would be for applying Moving Averages onto your chart. However,...
Library "lib_Militzer" // This is a collection of functions either found on the internet, or made by me. // This is only public so my other scripts that reference this can also be public. // But if you find anything useful here, be my guest. print() strToInt() timeframeToMinutes()
Library "MathProbabilityDistribution" Probability Distribution Functions. name(idx) Indexed names helper function. Parameters: idx : int, position in the range (0, 6). Returns: string, distribution name. usage: .name(1) Notes: (0) => 'StdNormal' (1) => 'Normal' (2) => 'Skew Normal' (3) => 'Student T' (4) => 'Skew Student T' (5)...
Library "historicalrange" Library provices a method to calculate historical percentile range of series. hpercentrank(source) calculates historical percentrank of the source Parameters: source : Source for which historical percentrank needs to be calculated. Source should be ranging between 0-100. If using a source which can beyond 0-100, use short...
Library "ArrayOperations" Array element wise basic operations. 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: array with added results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must...
Library "FunctionWeekofmonth" Week of Month function. weekofmonth(utime) Week of month for provided unix time. Parameters: utime : int, unix timestamp. Returns: int
Library "WIPNNetwork" this is a work in progress (WIP) and prone to have some errors, so use at your own risk... let me know if you find any issues.. Method for a generalized Neural Network. network(x) Generalized Neural Network Method. Parameters: x : TODO: add parameter x description here Returns: TODO: add what function returns
Library "FunctionBlackScholes" Some methods for the Black Scholes Options Model, which demonstrates several approaches to the valuation of a European call. // reference: // people.math.sc.edu // people.math.sc.edu asset_path(s0, mu, sigma, t1, n) Simulates the behavior of an asset price over time. Parameters: s0 : float, asset price at...
Library "FunctionMinkowskiDistance" Method for Minkowski Distance, The Minkowski distance or Minkowski metric is a metric in a normed vector space which can be considered as a generalization of both the Euclidean distance and the Manhattan distance. It is named after the German mathematician Hermann Minkowski. reference: en.wikipedia.org double(point_ax,...
Library "TimeLockedMA" Library & function(s) which generates a moving average that stays locked to users desired time preference. TODO - Add functionality for more moving average types. IE: smooth, weighted etc... Example: time_locked_ma(close, length=1, timeframe='days', type='ema') Will generate a 1 day exponential moving average that will stay consistent...
Library "FunctionGenerateRandomPointsInShape" Generate random vector points in geometric shape (parallelogram, triangle) random_parallelogram(vector_a, vector_b) Generate random vector point in a parallelogram shape. Parameters: vector_a : float array, vector of (x, y) shape. vector_b : float array, vector of (x, y) shape. Returns: float array,...
Library "Punchline_Lib" roundSmart(float) Truncates decimal points of a float value based on the amount of digits before the decimal point Parameters: float : _value any number Returns: float tostring_smart(float) converts a float to a string, intelligently cutting off decimal points Parameters: float : _value any number Returns: string
Library "FunctionNNLayer" Generalized Neural Network Layer method. function(inputs, weights, n_nodes, activation_function, bias, alpha, scale) Generalized Layer. Parameters: inputs : float array, input values. weights : float array, weight values. n_nodes : int, number of nodes in layer. activation_function : string, default='sigmoid',...
Library "FunctionNNPerceptron" Perceptron Function for Neural networks. function(inputs, weights, bias, activation_function, alpha, scale) generalized perceptron node for Neural Networks. Parameters: inputs : float array, the inputs of the perceptron. weights : float array, the weights for inputs. bias : float, default=1.0, the default bias...
Library "Interpolation" Functions for interpolating values. Can be useful in signal processing or applied as a sigmoid function. linear(k, delta, offset, unbound) Returns the linear adjusted value. Parameters: k : A number (float) from 0 to 1 representing where the on the line the value is. delta : The amount the value should change as k reaches...
Library "CRCLog" default_params() Returns default high/low intercept/slope parameter values for Bitcoin that can be adjusted and used to calculate new Regression Log lines log_regression() Returns set of (fib) spaced lines representing log regression (default values attempt fitted to INDEX:BTCUSD genesis-2021)
Library "CRCBars" min_max(open, open) Get bar min (low) and max (high) price points Parameters: open : Open price data open : Close price data Returns: is_bullish_bearish(open, open) Get bar bullish/bearish boolean signals Parameters: open : Open price data open : Close price data Returns: sizes(open, open, open, open) ...
Library "options_expiration_and_strike_price_calculator" TODO: add library description here fun() this is a library to help calculate options strike price and expiration that you can add to a script i use it mainly for symbol calulation to place orders to buy options on TD ameritrade so it will be set up to order options on TD ameritrade using json order...