Polynomial Regression Channel indicator from C Trader Calgo Software

I greet you all and thank you all for the wonderful work you do ..

As mentioned in its title on the subject, I do not know how easy it is to do something like this for Pro Real Time.

Below I mention the program as I found it from C Algo

Thank you very much !!

 [Parameter(DefaultValue = 3.0,MinValue = 1, MaxValue = 4)]
        public int degree { get; set; }

        [Parameter(DefaultValue = 120)]
        public int period { get; set; }
    	
        [Parameter(DefaultValue = 1.62)]
        public double strdDev { get; set; }
		
        [Parameter(DefaultValue = 2)]
        public double strdDev2 { get; set; }
		
        [Output("PRC",Color=Colors.Gray)]
        public IndicatorDataSeries prc { get; set; }
        
        [Output("SQH",Color=Colors.Red)]
        public IndicatorDataSeries sqh { get; set; }
        
        [Output("SQL",Color=Colors.Blue)]
        public IndicatorDataSeries sql { get; set; }
        
        [Output("SQL2",Color=Colors.Blue)]
        public IndicatorDataSeries sql2 { get; set; }
        
        [Output("SQH2",Color=Colors.Red)]
        public IndicatorDataSeries sqh2 { get; set; }
		
		private double[,] ai = new double[10,10];
		private double[] b = new double[10];
		private double[] x = new double[10];
		private double[] sx = new double[10];
		private double sum;
		private int ip;
		private int p;
		private int n;
		private int f;
		private double qq;
		private double mm;
		private double tt;
		private int ii;
		private int jj;
		private int kk;
		private int ll;
		private int nn;
		private double sq;
		private double sq2;
		private int i0 = 0;
		private int mi;
        
        public override void Calculate(int index)
        {
			ip = period;
			p = ip;
			sx[1] = p + 1;
			nn = degree + 1;
			//----------------------sx-------------------------------------------------------------------
			for(mi=1;mi<=nn*2-2;mi++) // 
			{
				sum=0;
				for(n=i0;n<=i0+p;n++)
				{
				sum+=Math.Pow(n,mi);
				}
				sx[mi+1]=sum;
			}
			//----------------------syx-----------
			for(mi=1;mi<=nn;mi++)
			{
				sum=0.00000;
				for(n=i0;n<=i0+p;n++)
				{
				if(mi==1) sum+=MarketSeries.Close[index-n];
				else sum+=MarketSeries.Close[index-n]*Math.Pow(n,mi-1);
				}
				b[mi]=sum;
			}
			//===============Matrix=======================================================================================================
			for(jj=1;jj<=nn;jj++)
			{
				for(ii=1; ii<=nn; ii++)
				{
				kk=ii+jj-1;
				ai[ii,jj]=sx[kk];
				}
			}
			//===============Gauss========================================================================================================
			for(kk=1; kk<=nn-1; kk++)
			{
				ll=0;
				mm=0;
				for(ii=kk; ii<=nn; ii++)
				{
				if(Math.Abs(ai[ii,kk])>mm)
				{
					mm=Math.Abs(ai[ii,kk]);
					ll=ii;
				}
				}
				if(ll==0) return;   
				if (ll!=kk)
				{
				for(jj=1; jj<=nn; jj++)
				{
					tt=ai[kk,jj];
					ai[kk,jj]=ai[ll,jj];
					ai[ll,jj]=tt;
				}
				tt=b[kk];
				b[kk]=b[ll];
				b[ll]=tt;
				}  
				for(ii=kk+1;ii<=nn;ii++)
				{
				qq=ai[ii,kk]/ai[kk,kk];
				for(jj=1;jj<=nn;jj++)
				{
					if(jj==kk) ai[ii,jj]=0;
					else ai[ii,jj]=ai[ii,jj]-qq*ai[kk,jj];
				}
				b[ii]=b[ii]-qq*b[kk];
				}
			}  
			x[nn]=b[nn]/ai[nn,nn];
			for(ii=nn-1;ii>=1;ii--)
			{
				tt=0;
				for(jj=1;jj<=nn-ii;jj++)
				{
				tt=tt+ai[ii,ii+jj]*x[ii+jj];
				x[ii]=(1/ai[ii,ii])*(b[ii]-tt);
				}
			}
			sq=0.0;
			sq2=0.0;
			for(n=i0;n<=i0+p;n++)
			{
				sum=0;
				for(kk=1;kk<=degree;kk++)
				{
				sum+=x[kk+1]*Math.Pow(n,kk);
				}
				prc[index-n]=(x[1]+sum);
				sq+=Math.Pow(MarketSeries.Close[index-n]-prc[index-n],2);
				sq2+=Math.Pow(MarketSeries.Close[index-n]-prc[index-n],2);
			}	
			sq=Math.Sqrt(sq/(p+1))*strdDev;
			sq2=Math.Sqrt(sq2/(p+1))*strdDev2;
			for(n=i0;n<=i0+p;n++)
			{
				sqh[index-n]=(prc[index-n]+sq);
				sql[index-n]=(prc[index-n]-sq);
				sqh2[index-n]=(prc[index-n]+sq2);
				sql2[index-n]=(prc[index-n]-sq2);
			}
        }
    }
}

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