Indicator · Pine Script v5 · Own pane

Function Discrete Fourier Transform

by ricardosantos79· code credited to RicardoSantos

This script provides a collection of utility functions to handle complex numbers and compute a Discrete Fourier Transform (DFT) in Pine Script.

View on GitHub

GitHub stars261on the repository
Pine versionv5runs as is
Lines of code508
Settings2inputs
LicenceNone statedfile: MPL-2.0
Last update4 years ago13 Nov 2021

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

508 lines of Pine Script v5 from beta/libs/v4_to_v5_conversions/Function - Discrete Fourier Transform.pinescript, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

Function - Discrete Fourier Transform.pinescript
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © RicardoSantos

//@version=5
indicator(title='Function: Discrete Fourier Transform')

//| Complex numbers prototype: {
//|----------------------------------------------------------------------------||
//|----------------------------------------------------------------------------||
//|----------------------------------------------------------------------------||
//|     @description:
//|         A set of utility functions to handle complex numbers.
//|     @references:
//|         https://en.wikipedia.org/wiki/Complex_number
//|         js: https://rosettacode.org/wiki/Fast_Fourier_transform
//|         https://github.com/trekhleb/javascript-algorithms/blob/477f30b0bdac6024874d2976de1eca7afe0176dd/src/algorithms/math/complex-number/ComplexNumber.js#L3
//|         https://github.com/infusion/Complex.js/
//|----------------------------------------------------------------------------||
//|----------------------------------------------------------------------------||
//|----------------------------------------------------------------------------||

f_complex_set_real(_a, _value) =>  //{
//| @description:
//|     Set the real part of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _value: value to replace real value of _a.
    array.set(id=_a, index=0, value=_value)
//| @return:
//|     Void: Modifies complex number _a.
//}

f_complex_set_imaginary(_a, _value) =>  //{
//| @description:
//|     Set the imaginary part of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _value: value to replace imaginary value of _a.
    array.set(id=_a, index=1, value=_value)
//| @return:
//|     Void: Modifies complex number _a.
//}

f_complex_new(_real, _imaginary) =>  //{
//| @description:
//|     Creates a prototype array to handle complex numbers.
//| @parameters:
//|     _real: real value of the complex number.
//|     _imaginary: imaginary number of the complex number. optional(use float(na) to not define value)
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    f_complex_set_real(_complex, _real)
    f_complex_set_imaginary(_complex, na(_imaginary) ? 0.0 : _imaginary)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary].
    _complex
//}

f_complex_get_real(_a) =>  //{
//| @description:
//|     Get the real part of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    _real = array.get(id=_a, index=0)
//| @return:
//|     _real: Real part of the complex number _a.
    _real
//}

f_complex_get_imaginary(_a) =>  //{
//| @description:
//|     Get the imaginary part of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    _imaginary = array.get(id=_a, index=1)
//| @return:
//|     _imaginary: Imaginary part of the complex number _a.
    _imaginary
//}

f_complex_add(_a, _b) =>  //{
//| @description:
//|     Adds complex number _b to _a, in the form:
//|         [_a.real + _b.real, _a.imaginary + _b.imaginary].
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _b: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    f_complex_set_real(_complex, f_complex_get_real(_a) + f_complex_get_real(_b))
    f_complex_set_imaginary(_complex, f_complex_get_imaginary(_a) + f_complex_get_imaginary(_b))
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_subtract(_a, _b) =>  //{
//| @description:
//|     Subtract complex number _b from _a, in the form: 
//|         [_a.real - _b.real, _a.imaginary - _b.imaginary].
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _b: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    f_complex_set_real(_complex, f_complex_get_real(_a) - f_complex_get_real(_b))
    f_complex_set_imaginary(_complex, f_complex_get_imaginary(_a) - f_complex_get_imaginary(_b))
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_multiply(_a, _b) =>  //{
//| @description:
//|     Multiply complex number _a with _b, in the form: 
//|         [(_a.real * _b.real) - (_a.imaginary * _b.imaginary), (_a.real * _b.imaginary) + (_a.imaginary * _b.real)]
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _b: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    float _b_real = f_complex_get_real(_b)
    float _b_imaginary = f_complex_get_imaginary(_b)
    float _r = _a_real * _b_real - _a_imaginary * _b_imaginary
    float _i = _a_real * _b_imaginary + _a_imaginary * _b_real
    f_complex_set_real(_complex, _r)
    f_complex_set_imaginary(_complex, _i)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_negative(_a) =>  //{
//| @description:
//|     Negative of complex number _a, in the form: [-_a.real, -_a.imaginary]
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    f_complex_set_real(_complex, -_a_real)
    f_complex_set_imaginary(_complex, -_a_imaginary)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_inverse(_a) =>  //{
//| @description:
//|     Inverse of complex number _a, in the form: [1/_a.real, 1/_a.imaginary]
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    // 1 / 0 = infinity, 1 / infinity = 0
    if _a_real != 0 and _a_imaginary != 0
        float _d = _a_real * _a_real + _a_imaginary * _a_imaginary
        f_complex_set_real(_complex, _a_real / _d)
        f_complex_set_imaginary(_complex, (0 - _a_imaginary) / _d)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_cexp(_a) =>  //{
//| @description:
//|     Exponential of complex number _a, in the form: 
//|         reference:  https://en.cppreference.com/w/c/numeric/complex/cexp
//|                     http://cboard.cprogramming.com/c-programming/89116-how-implement-complex-exponential-functions-c.html#post637921
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    var _er = math.exp(_a_real)
    f_complex_set_real(_complex, _er * math.cos(_a_imaginary))
    f_complex_set_imaginary(_complex, _er * math.sin(_a_imaginary))
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_ceil(_a, _digits) =>  //{
//| @description:
//|     Ceils complex number _a : 
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _digits: digits to use as ceiling.
    float _places = math.pow(10, _digits)
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    f_complex_set_real(_complex, math.ceil(f_complex_get_real(_a) * _places) / _places)
    f_complex_set_imaginary(_complex, math.ceil(f_complex_get_imaginary(_a) * _places) / _places)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_tostring(_a) =>  //{
//| @description:
//|     Converts complex number _a to a string format, in the form: "a+bi" 
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    string _str = ''
    if na(_a_real)
        _str := str.tostring(_a_imaginary) + 'i'
        _str
    else if _a_imaginary < 0
        _str := str.tostring(_a_real) + '' + str.tostring(_a_imaginary) + 'i'
        _str
    else
        _str := str.tostring(_a_real) + '+' + str.tostring(_a_imaginary) + 'i'
        _str
//| @return:
//|     _str: a string int "a+bi" format
    _str
//}

f_complex_conjugate(_a) =>  //{
//| @description:
//|     Computes the conjugate of complex number _a by reversing the sign of the imaginary part.
//|         reference: https://en.cppreference.com/w/c/numeric/complex/conj
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    float[] _complex = f_complex_new(_a_real, -1 * _a_imaginary)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_divide(_a, _b) =>  //{
//| @description:
//|     Divide complex number _a with _b, in the form: 
//|         [(_a.real * _b.real) - (_a.imaginary * _b.imaginary), (_a.real * _b.imaginary) + (_a.imaginary * _b.real)]
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _b: pseudo complex number in the form of a array [real, imaginary].
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    float _b_real = f_complex_get_real(_b)
    float _b_imaginary = f_complex_get_imaginary(_b)
    // Make sure we're dealing with complex number.
    float[] _complexDivider = f_complex_new(_b_real, _b_imaginary)
    // Multiply dividend by divider's conjugate.
    float[] _finalDivident = f_complex_multiply(_a, f_complex_conjugate(_complexDivider))
    // Calculating final divider using formula (a + bi)(a − bi) = a^2 + b^2
    float finalDivider = math.pow(f_complex_get_real(_complexDivider), 2) + math.pow(f_complex_get_imaginary(_complexDivider), 2)
    float _finaldivident_real = f_complex_get_real(_finalDivident)
    float _finaldivident_imaginary = f_complex_get_imaginary(_finalDivident)
    f_complex_set_real(_complex, _finaldivident_real / finalDivider)
    f_complex_set_imaginary(_complex, _finaldivident_imaginary / finalDivider)
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
    _complex
//}

f_complex_get_radius(_a) =>  //{
//| @description:
//|     Radius of _a, in the form: [sqrt(pow(_a))]
//|     Return the magnitude of a complex number. This is defined
//|         as its distance from the origin (0,0) of the complex plane.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
    float _radius = math.sqrt(math.pow(f_complex_get_real(_a), 2) + math.pow(f_complex_get_imaginary(_a), 2))
//| @return:
//|     _radius: float value with radius.
    _radius
//}

f_complex_equals(_a, _b) =>  //{
//| @description:
//|     Compares two complex numbers: 
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _b: pseudo complex number in the form of a array [real, imaginary].
    _epsilon = 1e-16
//| @return:
//|     _equals: boolean value representing the equality.
    bool _equals = math.abs(f_complex_get_real(_b) - f_complex_get_real(_a)) <= _epsilon and math.abs(f_complex_get_imaginary(_b) - f_complex_get_imaginary(_a)) <= _epsilon
    _equals
//}

f_complex_get_phase(_a, _inRadians) =>  //{
//| @description:
//|     The phase value of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _inRadians: boolean value for the type of angle value, (true: radians, false: degrees)
    float _pi = 3.14159265359
    float _a_real = f_complex_get_real(_a)
    float _a_imaginary = f_complex_get_imaginary(_a)
    float _phase = math.atan(math.abs(_a_imaginary) / math.abs(_a_real))

    if not _inRadians
        _phase := _phase * (180 / _pi)  // radian to degrees
        _phase
    else
        if _a_real < 0 and _a_imaginary > 0
            _phase := _pi - nz(_phase)
            _phase
        else if _a_real < 0 and _a_imaginary < 0
            // More correctly would be to set 'indeterminate'.
            // But just for simplicity reasons let's set zero.
            _phase := -(_pi - nz(_phase))
            _phase
        else if _a_real > 0 and _a_imaginary < 0
            _phase := -nz(_phase)
//| @return:
//|     _phase: float value with phase.
            _phase
//}

        else if _a_real == 0 and _a_imaginary > 0  //{
//| @description:
//|     The polar form value of complex number _a.
//| @parameters:
//|     _a: pseudo complex number in the form of a array [real, imaginary].
//|     _inRadians: boolean value for the type of angle value, (true: radians, false: degrees)
            _phase := _pi / 2.0
//| @return:
//|     _complex: **pseudo complex number in the form of a array [real, imaginary]
//|     ** returns a array [radius, phase]
            _phase
//}

        else if _a_real == 0 and _a_imaginary < 0  //{
//| @description:
//|     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 [real, imaginary].
            _phase := -_pi / 2.0
            _phase

        else if _a_real < 0 and _a_imaginary == 0
            _phase := _pi
            _phase
        else if _a_real > 0 and _a_imaginary == 0
//| @return:
//|     _complex_array: pseudo complex Array in the form of a array [0:real, 1:imaginary, 2:real, 3:imaginary,...]
            _phase := 0.0
//}

            _phase  //{
//| @description:
//|     Get the complex number in a array, in the form of a array [real, imaginary]
//| @parameters:
//|     _id: ID of the array.
//|     _index: Index of the complex number.
        else if _a_real == 0 and _a_imaginary == 0
            _phase := 0.0
            _phase
        else
            na
    _phase
//| @return:
//|     _complex: pseudo complex number in the form of a array [real, imaginary]
f_complex_get_polar_form(_a, _inRadians) =>
//}

    float[] _complex = f_complex_new(f_complex_get_radius(_a), f_complex_get_phase(_a, _inRadians))  //{
//| @description:
//|     Sets the values complex number in a array.
//| @parameters:
//|     _id: ID of the array.
//|     _index: Index of the complex number.
//|     _a:     Complex number, in the form: [real, imaginary].
    _complex
f_complex_array_new(_size, _initial_complex) =>
    float _init_real = array.get(id=_initial_complex, index=0)
    float _init_imaginary = array.get(id=_initial_complex, index=1)
    float[] _complex_array = array.new_float(0)
    for _i = 0 to _size - 1 by 1
        array.push(id=_complex_array, value=_init_real)
//| @return: Void, updates array _id.
//}

        array.push(id=_complex_array, value=_init_imaginary)  //{
//| @description:
//|     Reads a array of complex numbers into a string, of the form: "[ [a+bi], ... ]""
//| @parameters:
//|     _id: ID of the array.
    _complex_array
f_complex_array_get(_id, _index) =>
    float[] _complex = array.new_float(size=2, initial_value=0.0)
    int _size = math.round(array.size(id=_id) / 2)
    int _index2 = _index * 2
    if _index > -1 and _index < _size
        f_complex_set_real(_complex, array.get(id=_id, index=_index2))
        f_complex_set_imaginary(_complex, array.get(id=_id, index=_index2 + 1))
    _complex
f_complex_array_set(_id, _index, _a) =>
    float _a_real = f_complex_get_real(_a)
//| @return:
//|     _str: Translated complex array into string.
    float _a_imaginary = f_complex_get_imaginary(_a)
//}

//|----------------------------------------------------------------------------||
//|--------------------------------}-------------------------------------------||


//|-----------------------------------------------------------------------------|
//|-----------------------------------------------------------------------------|
//|-----------------------------------------------------------------------------|
//|-----------------------------------------------------------------------------|
//|-----------------------------------------------------------------------------|

    int _size = array.size(id=_id) - 1
//| @description:
//|     Discrete Fourier Transform and Inverse Discrete Fourier Transform.
//| @parameters:
//|     _inputs: Array with complex numbers.
//|     _inverse: bolean value, algorithm to use (true:inverse, false:regular).
//| @reference:
//|     https://arachnoid.com/signal_processing/dft.html
    int _index2 = _index * 2
    if _index > -1 and _index2 < _size
        array.set(id=_id, index=_index2, value=_a_real)
    //float a,ca,sa;
        array.set(id=_id, index=_index2 + 1, value=_a_imaginary)
f_complex_array_tostring(_id) =>
    int _size = math.round(array.size(id=_id) / 2)
        //output_data[y] = 0;
    string _str = '[ '
    if _size > 0
        for _i = 0 to _size - 1 by 1
            _str := _str + '[ ' + f_complex_tostring(f_complex_array_get(_id, _i)) + ' ]'
            if _i >= _size - 1
                _str := _str + ' ]'
                _str
            else
                _str := _str + ', '
                _str
    _str
f_dft(_inputs, _inverse) =>
    int _size = int(math.floor(array.size(id=_inputs) / 2))
    float _pi = 3.14159265359
    float _pi2 = _inverse ? 2.0 * _pi : -2.0 * _pi
    float _invs = 1.0 / _size
//| @return:
//|     _output: Complex array
    float[] _output = f_complex_array_new(_size, f_complex_new(0.0, 0.0))

    for _y = 0 to _size - 1 by 1
        for _x = 0 to _size - 1 by 1
            _a = _pi2 * _y * _x * _invs
            _ca = math.cos(_a)

            _sa = -math.sin(_a)
            float[] _complex_input = f_complex_array_get(_inputs, _x)
            float[] _complex_output = f_complex_array_get(_output, _y)
            float _input_real = f_complex_get_real(_complex_input)
            float _input_imaginary = f_complex_get_imaginary(_complex_input)
            float _output_real = f_complex_get_real(_complex_output)
            float _output_imaginary = f_complex_get_imaginary(_complex_output)
            float _add_real = _output_real + _input_real * _ca - _input_imaginary * _sa
            float _add_imaginary = _output_imaginary + _input_real * _sa + _input_imaginary * _ca
            f_complex_array_set(_output, _y, f_complex_new(_add_real, _add_imaginary))

        if not _inverse
            float[] _mult = f_complex_multiply(f_complex_array_get(_output, _y), f_complex_new(_invs, _invs))
            f_complex_array_set(_output, _y, _mult)
    _output

var float[] inputs = f_complex_array_new(8, f_complex_new(0.0, 0.0))
if barstate.islast
    for _i = 0 to 8 by 1
        f_complex_array_set(inputs, _i, f_complex_new(close[_i], _i))
// plot(series=f_Sre(0), color=acol, linewidth=aline, style=plot.style_histogram, transp=20, histbase=0, offset=-0, show_last=1)
// plot(series=f_Sim(0), color=bcol, linewidth=bline, style=plot.style_histogram, transp=20, histbase=0, offset=-0, show_last=1)
float[] S = f_dft(inputs, false)
float[] A = f_dft(S, true)
string tex = ''
if barstate.islast
    for _l = 0 to math.floor(array.size(inputs) / 2) - 1 by 1
        tex := tex + str.tostring(f_complex_array_get(inputs, _l)) + ' -    :   - ' + str.tostring(f_complex_array_get(S, _l), '#.#####') + ' - :   - ' + str.tostring(f_complex_array_get(A, _l)) + '\n'
        tex
var label la = label.new(bar_index, 0.0, '', style=label.style_label_left)
label.set_xy(id=la, x=bar_index, y=0.0)
label.set_text(id=la, text=tex)
f_Sre(_i) =>
    array.size(S) > 0 ? f_complex_get_real(f_complex_array_get(S, _i)) : na
f_Sim(_i) =>
    array.size(S) > 0 ? f_complex_get_imaginary(f_complex_array_get(S, _i)) : na
color acol = input(#0000ff50)
color bcol = input(#8080a050)

int aline = 8
int bline = 3
plot(series=f_Sre(1), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-1, show_last=1)
plot(series=f_Sim(1), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-1, show_last=1)
plot(series=f_Sre(2), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-2, show_last=1)
plot(series=f_Sim(2), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-2, show_last=1)
plot(series=f_Sre(3), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-3, show_last=1)
plot(series=f_Sim(3), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-3, show_last=1)
plot(series=f_Sre(4), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-4, show_last=1)
plot(series=f_Sim(4), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-4, show_last=1)
plot(series=f_Sre(5), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-5, show_last=1)
plot(series=f_Sim(5), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-5, show_last=1)
plot(series=f_Sre(6), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-6, show_last=1)
plot(series=f_Sim(6), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-6, show_last=1)
plot(series=f_Sre(7), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-7, show_last=1)
plot(series=f_Sim(7), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-7, show_last=1)
plot(series=f_Sre(8), color=acol, linewidth=aline, style=plot.style_histogram, histbase=0, offset=-8, show_last=1)
plot(series=f_Sim(8), color=bcol, linewidth=bline, style=plot.style_histogram, histbase=0, offset=-8, show_last=1)

Overview

Function Discrete Fourier Transform implements array-based mathematical structures to perform operations on real and imaginary components, facilitating cyclic analysis and frequency domain computations on financial data. The calculations are rendered in a separate pane with customizable color options. Designed primarily as a reusable mathematical framework, the script does not contain builtin buy or sell signal conditions, exit rules, or automated trade management.

Details

Published by

ricardosantos79 on GitHub

Code credit

RicardoSantos, as written in the script's header

Type

Indicator, Pine Script v5

Draws

Separate pane below the chart

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
acolcolor#0000ff50acol
bcolcolor#8080a050bcol
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

Similar Pine Scripts

Asymmetrical RSI

by everget
948 stars

Asymmetrical RSI is an indicator that computes a custom relative strength index from the rate of change of a user-selected source. It plots the resulting ARSI line in a separate pane with color coding that turns green above the overbought level and red below t

Indicator v4 Oscillators & momentum
Updated 10 days ago · GPL-3.0 GitHub repository of Asymmetrical RSI

This indicator calculates momentum setups based on the Relative Strength Index (RSI) and plots in a separate pane. It offers multiple scanning modes such as Continuous Break, Continuous Retracement, Flip Break, Flip Retracement, and both regular and hidden div

Indicator v6 Oscillators & momentumDivergence Repaints
Updated 1 year ago · MPL-2.0 GitHub repository of Momentum Setup - RSI Directional Momentum Indicator
549 stars

Range Volume Change compares volume inside a chosen session window with the same window on the previous day and plots that change as a percentage. It accumulates volume during the window and, when enabled, volume outside it, drawing growing columns in a separa

Indicator v5 VolumeSessions & time Repaints
Updated 10 months ago · None stated GitHub repository of Range Volume Change

Beep Boop

by magic8bot
409 stars

This indicator calculates a modified MACD oscillator and signal line alongside a trend EMA filter, plotting the output as a stylized column histogram in a separate pane. Instead of plotting true MACD distance, it quantifies positive and negative histogram mome

Indicator v4 Oscillators & momentumTrend
Updated 3 years ago · MIT GitHub repository of Beep Boop

Mojito v3 Strategy

by namuan
318 stars

The Mojito v3 Strategy indicator evaluates volatility term structure by calculating the ratio between front-month and second-month VIX futures contracts. It smooths this ratio using a configurable median filter and compares the result against user-defined uppe

Indicator v5 Volatility & bands
Updated 2 months ago · MIT GitHub repository of Mojito v3 Strategy

More indicators

Trade Your Charts With a Regulated Broker

Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.

Compare brokers