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    TradeStaion Genetic Optimizer: Trading Strategy testing Out of Sample

    Testing Out Of Sample

    TO demonstrate optimization In Sample and testing Out Of Sample simultaneously we use the slightly modified example of strategy above.

    In the signal are add 2 input parameters, assign beginning and end of area, on which is conduct optimization (In Sample). Beginning and end will be assign by the bar number, brushed off from the last bar a graphics.

    EasyLanguage:
     
    {******************************************************************* 
    Name: TS.GO.12.Ex2 
    Analysis Type: Strategy 
    Description: Example Strategy for Genetic Optimizer v.1.x with Out of Sample 
    Example of simple trading system to show the possibilities of Genetic Optimizer for TradeStation. 
    The system is based on 2 moving average crossover.  
    Buy signal is generated when fast moving average crosses over slow moving average.  
    Additionaly Stop-loss is included in the system. 
    Used: TSGO12.dll 
    Provided By: Trade Smart Research (c) Copyright 2001 - 2004 
             www.tsresearchgroup.com 
    *******************************************************************}
     
     
    Inputs
    {Gen - input parameter, that assigns the number of generations. 
    Optimize in TradeStation with "Start = 1" and "Inc = 1"}
     
     Gen(1),  
     ShowInd(1), {ShowInd - number of individual in population to show} 
     ModeTSGO(0), 
     Population(50), 
     FreshBlood(0), 
     MyReportName("MySystem1"), 
     Dstart(60000), {Day number from the end of data, start In Sample data} 
     Dstop(0);        {Day number from the end of data, end In Sample data} 
                     {For example - Dstop = 365 - OOS is 365 last days} 
         
    { Declaration of variables } 
    Vars: Len1(0),Len2(0),Len3(0),Len4(0),SL(0),DT(0),FA(0),PC(0), 
          Fitness(0),LastRun(0),R(0),K(0),Ind(0); 
      
    { ---------------------------------------------------------------------- } 
    { The Genetic Optimizer initialization and the definition of genes } 
     
    If CurrentBar = 1 Then Begin 
     
    { This block runs on every run of strategy on the first bar. 
     
      The function TS.GO.Start is called having the Parameter that defines 
      filename for milestones. 
      All the tunings of an optimizer and current population are stored in the 
      file, that allows to continue an optimization after break, or to draw 
      the input/output signals after the opening the TradeStation workspace with 
      the strategy. It is possible to open this file in graphic interface for viewing 
      population.}
     
     
        R = TS.GO.Start(MyReportName + "(" + GetSymbolName + ").rgo"); 
     
    { This block runs when the optimization is starting for the first bar only. } 
     
        If Gen = 1 Then Begin 
     
    { The initializing of optimizer determination of genes and the population 
      regime is executed (see the description of functions). 
      We start optimizer with empty population in a given example. }
     
     
            R = TS.GO.Mode(ModeTSGO); 
            R = TS.GO.Popul(Population); 
             R = TS.GO.FreshBlood(FreshBlood);  
     
    {***Sets up new chromosomes and new genes. 
      Chromosome Parameters: TS.GO.Chrom(Name)  
      Name – name of chromosome. 
      Gene Parameters: TS.GO.Gen(Name,Chrom,Min,Max,Incr) 
      Name – name of gene.  
      Chrom – number of chromosome that contains gene (if 0 then gene doesn’t participate in mutations, it’s fixed).  
      Min – minimal value of gene.  
      Max – maximal value of gene.  
      Incr – value increase (step), if = 0 then any values in set range can be used.***}
     
     
             
              K = TS.GO.Chrom("Buy.Signal"); 
            R = TS.GO.Gen("Buy.Signal.Len1",K,1,50,1); 
            R = TS.GO.Gen("Buy.Signal.Len2",K,1,50,1); 
     
            K = TS.GO.Chrom("Sell.Signal"); 
            R = TS.GO.Gen("Sell.Signal.Len3",K,1,50,1); 
            R = TS.GO.Gen("Sell.Signal.Len4",K,1,50,1); 
     
            K = TS.GO.Chrom("StopLoss"); 
            R = TS.GO.Gen("StopLoss.SL",K,1,1000,1); 
             
            K = TS.GO.Chrom("DollarTraling"); 
            R = TS.GO.Gen("DollarTraling.DT",K,1,1000,1); 
             
            K = TS.GO.Chrom("PercentTraling"); 
            R = TS.GO.Gen("PercentTraling.FA",K,1,1000,1); 
            R = TS.GO.Gen("PercentTraling.PC",K,1,100,1); 
             
        End;  
          
    { The generation of a new candidate in the population } 
     
        LastRun = TS.GO.Next(Gen); 
     
    { If this is the last path, shows results for Ind = ShowInd; 
      Else get the next candidate Ind = 0; }
     
     
        Ind = Iff(LastRun = 1,ShowInd,0); 
     
    { Get values of genes for choosen candidate. } 
     
        Len1 = TS.GO.Get("Buy.Signal.Len1",Ind); 
        Len2 = TS.GO.Get("Buy.Signal.Len2",Ind); 
        Len3 = TS.GO.Get("Sell.Signal.Len3",Ind); 
        Len4 = TS.GO.Get("Sell.Signal.Len4",Ind); 
        SL   = TS.GO.Get("StopLoss.SL",Ind); 
        DT   = TS.GO.Get("DollarTraling.DT",Ind); 
        FA   = TS.GO.Get("PercentTraling.FA",Ind); 
        PC   = TS.GO.Get("PercentTraling.PC",Ind); 
        R = TS.GO.ShowViewer
    End
     
    { ---------------------------------------------------------------------- } 
    { The basic strategy code. } 
     
    { Set up the stop-loss and traling-stop parameter. } 
     
    SetStopPosition
    SetStopLoss(SL); 
    SetDollarTrailing(DT); 
    SetPercentTrailing(FA,PC); 
     
    { The Moving Averages Calculation. } 
     
    Value1 = AverageFC(C,Len1); 
    Value2 = AverageFC(C,Len2); 
    Value3 = AverageFC(C,Len3); 
    Value4 = AverageFC(C,Len4); 
     
    { Generation of signals by moving averages crossover. 
      According to the signal, short positions are reversed to long positions and 
      vise versa. Besides, positions can be stopped by stop-loss and 
      trailing-stop orders. }
     
     
    if Value1 cross over  Value2 then Buy
    if Value3 cross below Value4 then Sell
     
    { End the basic strategy code. } 
    { ---------------------------------------------------------------------- } 
     
    Var: Fitness1(0),Fitness2(0); 
     
    { Compute fitness } 
    Fitness = NetProfit + OpenPositionProfit
     
    { Keep in mind the fitness value on the first bar In Sample, 
    Paint vertical bar marked the OOS period beginning. }
     
     
    R = LastCalcJDate - DStart; 
    if DateToJulian(Date[1]) < R and DateToJulian(Date) >= R then Begin 
        Fitness1 = Fitness; 
        R = TL_New(DateTimeHighDateTimeLow); 
        TL_SetExtLeft (R, True); 
        TL_SetExtRight(R, True); 
        TL_SetColor(R, Blue); 
    end
     
    { Pass the fitness value on the last bar In Sample, Paint vertical bar marked the OOS period finish } 
    R = LastCalcJDate - DStop; 
    if DateToJulian(Date[1]) < R and DateToJulian(Date) >= R then Begin 
        Fitness2 = Fitness; 
        R = TS.GO.Fitness (Fitness - Fitness1); 
        R = TL_New(DateTimeHighDateTimeLow); 
        TL_SetExtLeft (R, True); 
        TL_SetExtRight(R, True); 
        TL_SetColor(R, Blue); 
    end
     
    {***** Copyright (c) 2001-2004 Trade Smart Research, Ltd. All rights reserved. www.tsresearchgroup.com ***** 
    ***** Trade Smart Research reserves the right to modify or overwrite this analysis technique  
          with each release. *****}
     
      
    The Signal is the same as above except for the last block.

    As optimization criterion we use Fitness value difference for the bar that located DStart bars to the left from the last bar and for the bar that located DStop bars to the left from the last bar in contrast to standard TradeStation optimizer. As a result bars from DStart to DStop are not used in optimization. They are Out Of Sample.

    Below there are shown signals of the Trading System. Vertical red bar in the center of the picture separates data on In Sample (on the left) and Out of Sample (on the right).

    Picture 3. The results Out Of Sample on EURJPY (60 min).

    TradeStation Strategy Performance Report

    It is tested on 50 days, length of area OOS - 10 days.
    Results are in pips.
    Spread is 10 pips.


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