Converting TradingView indicator

[nissavinis]

Trying to convert below indicator to NT8 version, but i am not getting same result. Anyone is there to help with this conversion?

https://www.tradingview.com/script/QJgA4bP9-Machine-Learning-Signal-Filter/

region Using declarations
using System;
using System.Collections.Generic;
using System.Windows.Media;
using NinjaTrader.Gui;
using NinjaTrader.Gui.Chart;
using NinjaTrader.Gui.SuperDom;
using NinjaTrader.Gui.Tools;
using NinjaTrader.Data;
using NinjaTrader.NinjaScript;
using NinjaTrader.Core.FloatingPoint;
using NinjaTrader.NinjaScript.DrawingTools;
#endregion

namespace NinjaTrader.NinjaScript.Indicators
{
public class MachineLearningSignalFilter : Indicator
{
private const int ACTIVATE = 1;
private const int DEACTIVATE = -1;
private const int STASIS = 0;
private int signalBeacon = STASIS;
private int timeTracker = 0;

region Properties
[NinjaScriptProperty]
[Display(Name = "Activate Signal Calculations", GroupName = "Signal Settings")]
public bool SignalEaster { get; set; }

[NinjaScriptProperty]
[Display(Name = "Use Data for Signal Generation", GroupName = "Signal Settings")]
public bool UseDataForSignal { get; set; }

[NinjaScriptProperty]
[Range(1, int.MaxValue)]
[Display(Name = "Temporal Stasis Period", Description = "Minimum 1", GroupName = "Trade Settings")]
public int StasisPeriod { get; set; }

[NinjaScriptProperty]
[Range(2, int.MaxValue)]
[Display(Name = "Chrono Window", Description = "Minimum 2", GroupName = "Temporal Settings")]
public int RetroScan { get; set; }

[NinjaScriptProperty]
[Range(2, 240)]
[Display(Name = "Temporal Normalization", GroupName = "Temporal Settings")]
public int ChronoNorm { get; set; }

[NinjaScriptProperty]
[Range(0.0001, 0.01)]
[Display(Name = "Neural Pulse Rate", GroupName = "Neural Network")]
public double NanoPulse { get; set; }

[NinjaScriptProperty]
[Range(50, 20000)]
[Display(Name = "Cycle Iterations", GroupName = "Neural Network")]
public int ChronoCycles { get; set; }
#endregion

protected override void OnStateChange()
{
if (State == State.SetDefaults)
{
Description = "Machine Learning Signal Filter";
Name = "MLSignalFilter";
SignalEaster = true;
UseDataForSignal = true;
StasisPeriod = 5;
RetroScan = 5;
ChronoNorm = 100;
NanoPulse = 0.001;
ChronoCycles = 1500;
Calculate = Calculate.OnBarClose;
IsOverlay = true;
}
else if (State == State.Configure)
{
AddPlot(new Stroke(Brushes.Red, 2), PlotStyle.Cross, "StopBuy");
AddPlot(new Stroke(Brushes.Blue, 2), PlotStyle.Cross, "StopSell");
}
}

private double BioCurve(double zeta)
{
return 1.0 / (1.0 + Math.Exp(-zeta));
}

private double VectorDot(List<double> vectorA, double vectorB, int dimension)
{
double sum = 0;
for (int i = 0; i < dimension; i++)
{
sum += vectorA[i] * vectorB;
}
return sum;
}

private Tuple<double, double> CyberneticRegression(List<double> inputX, List<double> inputY, int dimension, double learningRate, int iterations)
{
double weight = 0.0;
double entropy = 0.0;

for (int cycle = 1; cycle <= iterations; cycle++)
{
double hypothesis = BioCurve(VectorDot(inputX, 0.0, dimension));
entropy = -1.0 / dimension * VectorDot(inputX, hypothesis - inputY[0], dimension);
double gradient = 1.0 / dimension * VectorDot(inputX, hypothesis - inputY[0], dimension);
weight -= learningRate * gradient;
}

return new Tuple<double, double>(entropy, BioCurve(VectorDot(inputX, weight, dimension)));
}

private double StellarNormalize(double dataStream, int dimension, double minimum, double maximum)
{
double highestValue = MAX(dimension)[0];
double lowestValue = MIN(dimension)[0];
return (maximum - minimum) * (dataStream - lowestValue) / (highestValue - lowestValue) + minimum;
}

protected override void OnBarUpdate()
{
if (CurrentBar < RetroScan) return;

List<double> baseInput = new List<double>();
List<double> syntheticInput = new List<double>();

// Populate input data
for (int i = 0; i < RetroScan; i++)
{
if (SignalEaster)
{
baseInput.Add(Time[i].Ticks);
syntheticInput.Add(Close[i]);
}
else
{
baseInput.Add(Close[i]);
syntheticInput.Add(Math.Log(Math.Abs(Math.Pow(Clos e[i], 2) - 1) + 0.5));
}
}

// Calculate regression
var result = CyberneticRegression(baseInput, syntheticInput, RetroScan, NanoPulse, ChronoCycles);
double entropy = result.Item1;
double forecast = result.Item2;

double normalizedEntropy = StellarNormalize(entropy, ChronoNorm, MIN(ChronoNorm)[0], MAX(ChronoNorm)[0]);
double normalizedForecast = StellarNormalize(forecast, ChronoNorm, MIN(ChronoNorm)[0], MAX(ChronoNorm)[0]);

// Signal Processing
bool filter = true;
int previousSignalBeacon = signalBeacon;

if (UseDataForSignal)
{
signalBeacon = Close[0] < normalizedEntropy && filter ? DEACTIVATE :
Close[0] > normalizedEntropy && filter ? ACTIVATE : signalBeacon;
}
else
{
signalBeacon = CrossBelow(normalizedEntropy, normalizedForecast) && filter ? DEACTIVATE :
CrossAbove(normalizedEntropy, normalizedForecast) && filter ? ACTIVATE : signalBeacon;
}

bool changed = previousSignalBeacon != signalBeacon;
timeTracker = changed ? 0 : timeTracker + 1;

// Trade Conditions
bool startLongTrade = changed && signalBeacon == ACTIVATE;
bool startShortTrade = changed && signalBeacon == DEACTIVATE;
bool endLongTrade = (signalBeacon == ACTIVATE && timeTracker == StasisPeriod && !changed) ||
(changed && signalBeacon == DEACTIVATE);
bool endShortTrade = (signalBeacon == DEACTIVATE && timeTracker == StasisPeriod && !changed) ||
(changed && signalBeacon == ACTIVATE);

// Plot signals
if (startLongTrade)
Draw.TriangleUp(this, "Buy" + CurrentBar, true, 0, Low[0], Brushes.Blue);

if (startShortTrade)
Draw.TriangleDown(this, "Sell" + CurrentBar, true, 0, High[0], Brushes.Red);

if (endLongTrade)
Values[0][0] = High[0]; // StopBuy

if (endShortTrade)
Values[1][0] = Low[0]; // StopSell
}
}
}

[NinjaTrader_Gaby]

Hello nissavinis,

Thank you for your post.

While we don't provide conversion services, we can help in finding equivalent methods or properties in NinjaScript, or if you have a specific question about how to accomplish specific logic in NinjaScript.

If you would like assistance finding a NinjaScript method/property, or how to accomplish specific logic in NinjaScript, please let me know.

This thread will also remain open for any members of the community who may want to convert this at your request.

You can also contact a professional NinjaScript Consultant who would be eager to create or modify this script at your request or assist you with your script. The NinjaTrader Ecosystem has affiliate contacts who provide educational as well as consulting services.

Please let me know if you would like a list of affiliate consultants who would be happy to create this script or any others at your request or provide one on one educational services.