Library "FunctionArrayNextPrevious"
Methods to iterate through a array by a fixed anchor point.
array_next(array, start_index) retrieves the next value of the internal pointer index.
Parameters:
array : (any array type), array to iterate.
start_index : int, anchor index to start indexing.
array_previous(array, start_index) retrieves the...
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 "MLActivationFunctions"
Activation functions for Neural networks.
binary_step(value) Basic threshold output classifier to activate/deactivate neuron.
Parameters:
value : float, value to process.
Returns: float
linear(value) Input is the same as output.
Parameters:
value : float, value to process.
Returns: float
sigmoid(value) ...
Library "Points"
Provides functions for simplifying operations with collections of x+y coordinates. Where x is typically a bar index or time (millisecond) value.
new(size) Creates two arrays. One for X (int ) and another for Y (float ).
Parameters:
size : The initial size of the arrays.
size(xA, yA) Checks the size of the arrays and if they're...
Library "eHarmonicpatterns"
Library provides an alternative method to scan harmonic patterns. This is helpful in reducing iterations
scan_xab(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern
Parameters:
bcdRatio : AB/XA ratio
err_min : minimum error threshold
err_max : maximum error...
A simple hashmap implementation for pinescript.
It gets your string array and transforms it into a hashmap.
Before using it you need to initialize your array with the size you need for your specific case since the size is not dynamic.
To use it, first you need to import it the following way:
> import marspumpkin/hashmaps/1
Then, initialize your array with the...
This Library is aimed to mitigate the limitation of Pinescript having only one structured data type which is only arrays.
It lacks data types like Dictionaries(in Python) or Object (in JS) that are standard for other languages. Tuples do exist, but it hardly solves any problem.
Working only with Arrays could be overwhelming if your codebase is large. I looked for...
Library "FunctionPeakDetection"
Method used for peak detection, similar to MATLAB peakdet method
function(sample_x, sample_y, delta) Method for detecting peaks.
Parameters:
sample_x : float array, sample with indices.
sample_y : float array, sample with data.
delta : float, positive threshold value for detecting a peak.
Returns: tuple with...
Library "Averages"
Contains utilities for generating averages from arrays. Useful for manipulated or cleaned data.
triangular(src, startingWeight) Calculates the triangular weighted average of a set of values where the last value has the highest weight.
Parameters:
src : The array to derive the average from.
startingWeight : The weight to begin...
Library "_arrayutils"
Library contains utility functions using arrays.
delete(arr, index)
remove an item from array at specific index. Also deletes the item
Parameters:
arr : - array from which the item needs to be deleted
index : - index of item to be deleted
Returns: void
pop(arr)
remove the last item from array. Also deletes the...
Library "Signal_Data_2021_09_09__2021_11_18"
Functions to support my timing signals system
import_start_time(harmonic) get the start time for each harmonic signal
Parameters:
harmonic : is an integer identifying the harmonic
Returns: the starting timestamp of the harmonic data
import_signal(index, harmonic) access point for pre-processed data...
Library "FunctionArrayMaxSubKadanesAlgorithm"
Implements Kadane's maximum sum sub array algorithm.
size(samples) Kadanes algorithm.
Parameters:
samples : float array, sample data values.
Returns: float.
indices(samples) Kadane's algorithm with indices.
Parameters:
samples : float array, sample data values.
Returns: tuple with format .
Library "cache"
A simple cache library to store key value pairs.
Fed up of injecting and returning so many values all the time?
Want to separate your code and keep it clean?
Need to make an expensive calculation and use the results in numerous places?
Want to throttle calculations or persist random values across bars or ticks?
Then you've come to...
Library "ArrayMultipleDimensionPrototype"
A prototype library for Multiple Dimensional array methods
index_md_to_1d()
new_float(dimensions, initial_size) Creates a variable size multiple dimension array.
Parameters:
dimensions : int array, dimensions of array.
initial_size : float, default=na, initial value of the array.
Returns: float...
Library "FunctionArrayReduce"
A limited method to reduce a array using a mathematical formula.
float_(formula, samples, arguments, initial_value) Method to reduce a array using a mathematical formula.
Parameters:
formula : string, the mathematical formula, accepts some default name codes (index, output, previous, current, integer index of arguments...
Library "FunctionProbabilityDistributionSampling"
Methods for probability distribution sampling selection.
sample(probabilities) Computes a random selected index from a probability distribution.
Parameters:
probabilities : float array, probabilities of sample.
Returns: int.
