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				[...]  new ArrayHolder[61 ;	
			for( int n = 12; n n = new ArrayHolder();
			
			double domCycle = 0d;
			string s = ds.Description + ")";			
			DataSeries ">61"> DB = new DataSeries[61 ;								
			DataSeries domCyc = new DataSeries(Bars, "DC(" + s);
			domCycMdn = new DataSeries(Bars, "DomCyc(" + s);
			snrSer = new DataSeries(Bars, "SNR(" + s);
			psnSer = new DataSeries(Bars, "Swing Position(" + s);
			tvSer = new DataSeries(Bars, "Trend Vigor(" + s);
			
			// Create and plot the de
			
				
				
[...]  Initialize arrays
			ArrayHolder ">51"> ah = new ArrayHolder[51 ;
			for( int n = 8; n n = new ArrayHolder();		
			Color ">21"> color = new Color[21 ;		
			DataSeries ">51"> DB = new DataSeries[51 ;
			
			double domCycle = 0d;
			string name = ds.Description;
			DataSeries result = Close - Close;
			result.Description = "Dominant Cycle(" + name + ")";
			
			// Create and plot the decibel series - change the colors later
			ChartPane dbPane = CreatePane(40, false, false );
			for( int [...]
			
				
				[...]  // Initialize array
     ArrayHolder ">49"> ah = new ArrayHolder[49 ;  
     for( int n = 4; n n = new ArrayHolder();
     
     // Create and plot the heatmap series (change bar colors later)
     HideVolume(); HidePaneLines();
     ChartPane swPane = CreatePane(50, false, false );
     for( int n = 4; n n = swStoch + n;
      swamistoch n .Description = "SwamiSto." + n.ToString();  
      
			
				
				
[...]  int n = 0; n n = new DataSeries(Bars,n.ToString());
				for( int bar = 0; bar n bar = n;
				PlotSeries(tp, ds n , Color.Black, LineStyle.Solid, 16);
			}
			HideVolume();
			
			for( int bar = 0; bar ">70"> Corr = new double[70 ;
				double ">70"> CosinePart = new double[70 ;
				double ">70"> SinePart = new double[70 ;
				double ">70"> SqSum = new double[70 ;
				double [...]
			
				
				[...]  in such a way that it is often a leading indicator of price change. Formula: Demand index = Sum of n-day upside volume / Sum of n-day downside volume  Interpretation: Demand Index   Dysart Positive/Negative Volume (DPNV) Paul Dysart's Positive/Negative Volume is similar to Granville's OBV. More in Wikipedia .   Eliades New TRIN (ETRIN) The Eliades New TRIN is a smoothed version of Arms Index (TRIN).   Gap Index (GAP) The Gap index is a market breadth indicator that measures the number of symbols that gapped up and down. For each bar, the [...]
			
				
				  Syntax  
public static double Correlation(this double ">"> x, double[ y, int n) public double Correlation(double ">"> x, double[ y, int n)   Parameter Description    x  Array of double values (first data series)   y  Array of double values (second data series)   n  Correlation lookback period    Description  Calculates Pearson Correlation. Uses code from ALGLIB project . 
  Example  
The following example demonstrates how well correlated were CMO and RSI:  Example using C# extension methods:  
using System;
using [...]
			
				
				[...]  namespace WealthLab.Strategies
{
	public class FractalDim : WealthScript
	{
		StrategyParameter _n;
		StrategyParameter _per; 		public FractalDim()
		{
			_n = CreateParameter("N", 30, 10, 60, 2);	// An even number
			_per = CreateParameter("Average Period", 20, 10, 55, 1);
		} 		protected override void Execute()
		{	
			HideVolume();
			int N = _n.ValueInt;
			int avPer = _per.ValueInt;
			DataSeries avg = AveragePrice.Series(Bars);
			DataSeries smooth = FIR.Series(avg, [...]
			
				
				[...]  Convert.ToChar(0x00D9).ToString();
			string _dnFractal = Convert.ToChar(0x00DA).ToString();
									
			for(int n = 5; n n > fractalupbars n-1 )
				{
					int fbar = (int)fractalupbars n ;
					AnnotateBar(_upFractal, [...]
			
				
				[...]  Convert.ToChar(0x00D9).ToString();
			string _dnFractal = Convert.ToChar(0x00DA).ToString();
									
			for(int n = 5; n n > fractalupbars n-1 )
				{
					int fbar = (int)fractalupbars n ;
					AnnotateBar(_upFractal, [...]
			
				
				[...]  Moving Average . Compared to other moving averages, WildersMA responds slowly to price changes. A n-period WilderMA gives similar values to a 2n period EMA .  For example, a 14-period EMA has almost the same values as a 7-period WilderMA. 
 Interpretation  WilderMA can be interpreted in the same way as other moving averages. The WilderMA is like a EMA with half number of periods. See the EMA indicator for more information. You should use a WilderMA when calculating other Wilder's indicators to ensure consistent results with other systems and users. If you are after a [...]
			
				
				[...]  Then take the ROC of this value over a period specified by rocPeriod . CV = ( HLAve) / ( HLAve n days ago) where,
CV = Chaikin's Volatility value
n = number of ROC periods 
  Example  using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
using WealthLab;
using WealthLab.Indicators; namespace WealthLab.Strategies
{
	public class MyStrategy : WealthScript
	{
		// Thank you fundtimer
		public Color WS4ColorToNET( double WS4Color ) 
		{ 
			return Color.FromArgb( 
				(int)Math.Floor( ( WS4Color % 1000 ) / [...]
			
				
				[...]  rise. This is a swing failure, it show the sellers are weakening.  
 Calculation Wm%R = 100 * [...]
			
				
				[...]  certain operations on entire DataSets which would otherwise take certain effort:   Truncate last or first N bars (or N days of intraday data)  Wipe the entire DataSet data (to help mass reload)  Remove inactive (dead) symbols Remove selected symbols Remove bad bars (e.g. weekends)  Fix OHLC out of bounds Change symbol Check data for validity   Compatibility 
Supported are static data providers that rely on Wealth-Lab to maintain their data in the local storage of .WL files. Only their DataSets will appear in the DataSets tree on the left and allow [...]
			
				
				[...]  false;
				for (int n = bar; n > bar - 5; n )
				{
					if( vmacdh bar  bar  ;				
			}
			DrawLabel(PricePane, "VMACDH: " + vwCount);
			DrawLabel(PricePane, "MACD: " + maCount);
			PrintDebug(vwCount [...]
			
				WMA — 1.1%
				[...]  value. WMA excludes price data outside the length of the moving average, Period. WMA = (	P 0 * n + P 1 * [...]
			
				
				[...]  crosses above the AroonUp, then a new downtrend may soon start.  
 Calculation AroonUp :
100 * ( n - ( Num. of bars since highest [...]
			
				
				[...]  			if (patternBars > 1)
			{
				int p = patternBars - 1;
				for (int n = bar - 1; n >= bar - p; n--)
				{
					
			
				
				
[...]  WealthScript
	{
		protected override void Execute()
		{
			// Flag bars that are 5% Troughs
			int n = -1; int nPrev = -1;
			for(int bar = 0; bar  -1 ) )
				{
					DrawCircle( PricePane, 6, n, Low n , Color.Green, LineStyle.Solid, 2, true );
						nPrev = n;
				}
			}
		}
	}
} [...]
			
				
				[...]  price so that the basis price is the same as the execution price
   Position BuyAtMarket(int n, string sigName = "")
   {
     if (n >= Bars.Count)
      return base.BuyAtMarket(n, sigName);  // create market order alert
     else
      return BuyAtLimit(n, Open n , sigName);
   }  
 When I run a strategy in a Raw Profit mode, a warning message tells me that some trades were dropped because of insufficient funds. Why?  It is possible in Raw Profit mode [...]
			
				
				[...]  Bars.FindNamedSeries("Neutral");
	DataSeries s = Bars.FindNamedSeries("Bull-Bear Spread"); 	if(bu != null && be != null && n != null && s != null)
	{
		ChartPane p1 = CreatePane( int.MaxValue, true, true );
		ChartPane p = CreatePane( int.MaxValue, true, true ); 		PlotSeries( p, bu, Color.Green, LineStyle.Solid, 2 );
		PlotSeries( p, be, Color.Red, LineStyle.Solid, 2 );
		PlotSeries( p, n, Color.DarkBlue, LineStyle.Solid, 1 );
		PlotSeries( p1, s, Color.Blue, LineStyle.Histogram, 2 );
	}
} 
else
	PrintDebug( Bars.Symbol + " does not contain named [...]
			
				
				[...]  override void Execute()
		{
			// Highlight extreme moves down 			double n = 0; 
			
			for(int bar = 0; bar bar );
				if( n > 9 ) n = 9;
				SetBarColor( bar, WS4ColorToNET( n*100 ) );
			}
		}
	}
} [...]
			
				
				[...]  pane as fastPCRI
			int n = Bars.Count - 1;
			DataSeries slowT = TransformSeries(slowPCRI, Lowest.Value(n, slowPCRI, n - 30), Highest.Value(n, slowPCRI, n - 30), [...]
			
				
				[...]  + "Open" + sep + "High" + sep + "Low" + sep + "SMA bar \n";
			
			for(int i = sma.FirstValidValue; i i .ToShortDateString() + sep + 
					Open i + sep + High i + sep + Low i + sep + Close i +
					sep + Bars.FormatValue( sma i ) + "\n" );
			}
			
			this.CopyText( s );
		}
	}
}
   Advanced example  
Copying formatted text and chart image to clipboard and creating a new RTF document (open in Wordpad or Word):  
using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
using WealthLab;
using WealthLab.Indicators;
using
			
				
				[...]  AveragePrice.Series( Bars ) );
			DataSeries DynSMA = Close-Close;
			int n = 0;
			
			ChartPane HTPeriodPane = CreatePane( 50, true, true );
			PlotSeries( HTPeriodPane, htp, Color.Blue, LineStyle.Solid, 1 );
			
			for(int bar = 40; bar bar );
				if( n bar = SMA.Series( AveragePrice.Series( Bars ), n ) bar ;
			}
			
			PlotSeries( [...]
			
				
				[...]  the position size by the user-selected percentage if the equity curve had certain gain over the past N bars (i.e. the "equity momentum"). Otherwise it sets the position size to an initial size. As with most other PosSizers, the basic position size can be determined using either fixed dollar, percent of equity, or maximum risk percentage approach. The "equity momentum" can be either the N-trade momentum of the equity curve or the [...]
			
				
				[...]    int n = Bars.Count - 1;
     DataSeries slowT = TransformSeries(slowPCRI, Lowest.Value(n, slowPCRI, n - 30), Highest.Value(n, slowPCRI, n - 30), 0, 100);
     [...]
			
				
				[...]  override void Execute()
		{
			// Highlight extreme moves up 			double n = 0; 
			
			for(int bar = 0; bar bar );
				if( n > 9 ) n = 9;
				SetBarColor( bar, WS4ColorToNET( n*10 ) );
			}
		}
	}
}
 [...]
			
				
				[...]  essentially a StochK of the RSI . See both StochK and RSI for more information. StochRSI = ( RSI(n) - RSI [...]
			
				VMA — 0.6%
				[...]  active, and stock is being sold, go short.  
 Calculation VMA = ( V 1 * P 1 + V 2 * P 2 + ... + V n * P n ) / ( V 1 + V 2 + ... + V n ) where, [...]
			
				
				[...]  enum. Steps to calculate Standard Deviation for n periods  Calculate the mean price by summating the price for n periods and divide by n. From each period's price subtract the mean, this gives you the deviation for each period. Find the sum of the squares of all deviations. Divide the sum [...]