Library for math functions. will expand over time.
split(_sumTotal, _divideBy, _forceMinimum, _haltOnError)
Split a large number into integer sized chunks
_sumTotal : (int) Total numbert of items
_divideBy : (int) Groups to make
_forceMinimum : (bool) force minimum number 1/group
_haltOnError : (bool) force...
Collection of some common Filters and Moving Averages. This collection is not encyclopaedic, but to declutter my other scripts. Suggestions are welcome, though. Many filters here are based on the work of John F. Ehlers
sma(src, len) Simple Moving Average
src : Series to use
len : Filtering length
Hello, Murrey Math lovers, Thanks for those who showed interest on this. Based on a request, I have updated the plot / candle coloring, for Version - 2.
This has been in the queue for a while.
There was a Glitch found with the Multiplier. Will Fix in the next version. The Current Version (and the previous version) only supports 1/8 fractions. Will not support...
This library is a Pine Script™ programmer’s tool containing functions that average values selectively.
Averaging can be useful to smooth out unstable readings in the data set, provide a benchmark to see the underlying trend of the data, or to provide a general expectancy of values in establishing a central tendency. Conventional...
This library contains majority important moving average functions with int series support. Which means that they can be used with variable length input. For conventional use, please use tradingview built-in ta functions for moving averages as they are more precise. I'll use functions in this library for my other scripts with dynamic...
sigFig(float _float, int _figures)
@description Takes a floating-point number - one that can, but doesn't have to, include a decimal point - and converts it to a floating-point number with only a certain number of digits left. For example, say you want to display a variable from your script to the user and it comes out to...
Library "LinearRegressionLibrary" contains functions for fitting a regression line to the time series by means of different models, as well as functions for estimating the accuracy of the fit.
Linear regression algorithms:
RepeatedMedian(y, n, lastBar) applies repeated median regression (robust linear regression algorithm) to the input time series...
Array element wise basic operations.
add(sample_a, sample_b) Adds sample_b to sample_a and returns a new array.
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...
Collection of some common Oscillators. All are zero-mean and normalized to fit in the -1..1 range. Some are modified, so that the internal smoothing function could be configurable (for example, to enable Hann Windowing, that John F. Ehlers uses frequently). Some are modified for other reasons (see comments in the code), but never...
functions to handle vector2 operations.
math_fractional(_value) computes the fractional part of the argument value.
_value : float, value to compute.
Returns: float, fractional part.
atan2(_a) Approximation to atan2 calculation, arc tangent of y/ x in the range radians.
_a : vector2 in the...
TODO: With this library, you can add tables to your strategies.
Returns: Strategy Profit Table
Adds a table to the graph of the strategy for which you are calling the function. You can see data such as net profit in this table.
No parameters. Just call the function inside the strategy.
Example Code :
Performs Polynomial Regression fit to data.
In statistics, polynomial regression is a form of regression analysis in which
the relationship between the independent variable x and the dependent variable
y is modelled as an nth degree polynomial in x.
gauss_elimination(A, m, n) ...
intrabar_cross_value(a, b, step) Find the minimum difference of a intrabar cross and return its median value.
a : float, series a.
b : float, series b.
step : float, step to iterate x axis, default=0.01
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,...