More information on parameter selection and pictures:

 

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The following information is from the frontend documentation
of a TradeStation .ela containing a "signal" which is based
in part around the LSS concept of Taylor (an early grain
trader.
The LSS letters stand for:
  Long  on this bar
  Sell  on this bar
  Sell short on this bar.
Much has been added to this basic concept in order to set up
a model which is applicable across many markets.

The default parameters are not very good for ANY market and
it is important that you read and understand the procedure
for adapting the model to whatever market you are examining.
After a discussion of the model and parameters, you will find
a series of charts which demonstrate how the model views 
several different markets.  To view these pictures 
properly you should setup your browser for 
full page width display.

 

{* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
After reviewing the following information on the system you
might like to go to the following to learn how to optimize the
parameters:
OPTIMIZE LSS

{* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
 SIGNAL:  LSS_New_4a    This is an application which
          calculates the model behavior of market
          behavior and simulates trading based on values 
          that are claimed to represent valid LSS entry
          and exit points.  These claims by George Angell 
          were found in an advertising piece he distributed
          and seemed to have great validity.  
          
          The actual model trading signals are derived by 
          measuring the computed LSS Values against a 
          multiple of LSS rate of change (ONE BAR) which
          is multiplied by a selected value.  
          
          Exits or reverses on an N day test if losing.
          MaxDays, if set negative, will cause system to
          reverse if closing price is below/above an exit 
          moving average on selected day after entry.  If
          set positive system will just exit.
          Moving average to use with above may be a T3Average
          if length is positive or DH_Adaptive_Noise_Filter
          if a negative length is used.
          The system includes code which allows the model to 
          exit on a disaster stop (MM) at a certain dollar 
          value or a multiple of a 14 bar average true range.
          The system also includes code which allows the
          model to "take profit" at a certain dollar value
          or a multiple of a 14 bar average true range.
          Determination of optimum parameters is important
          for whatever market is being simulated.
          An approach which the author has found to be
          reasonable is:
          1. First optimize the  MaxDays  and the  LengXitA
          in the same run.  Typically MaxDays is optimized
          between -9 and 0 in steps of 1 and LengXitA is 
          optimized from -5 to 0 in increments of 0.5 or
          from 0 to 5 in increments of 0.5 .
          
          2. Then optimize  LengLSS and LengSMO.  LengLSS
          typically would be optimized form -9 to 9 using an
          increment of 2.  The LengSMO is optimized with 
          values from 1 to 4 in steps of 0.5 .
          3. Values for  LengPSMO  and  LSSDvMul  can best 
          be determined by optimizing LengPSMO over the
          range of 1 to 5 in steps of 1 and LSSDvMul should
          be optimized from 0 to 2 with an increment of 0.1 .
          
          4. Once these values are obtaing then the system is
          examined for performance in Long Only, Short Only,
          or Long&Short modes.  When doing this evaluation it
          may be best to set a limited range on the above
          parameters and allow the optimization to examine
          different values for the 3 options.
          Author:  Clyde Lee,  Copyright 2000-2003  
          This system exclusively for Lisencees.
          See  www.theswingmachine.com for order information
          This is a licensed copyrighted product. 
 
          Any person who has not obtained this product by making 
          a proper payment to SYTECH Corporation through the 
          www.theswingmachine.com web site
          and PayPal is in violation of federal copyright laws
          and subject to fines and possible jail terms.
DISCLAIMER: 
The information contained in this .ela file and or information 
that may result from applying this  .ela  to any set of data 
are for educational purposes for examination of possible 
approaches to a market trading methods.  
The information may be applicable to assist the user in developing 
indicators which might be used as guides for market timing but all 
of the information contained herein is strictly for educational 
purposes. 
The author advises that if this .ela is applied to any stock and or 
commodity time/price series, the indicated orders from such 
application are strictly for purposed of demonstrating the 
principles outline herein.  
Clearly the author cannot accepts any liability whatsoever for 
results that might occur should you use these "educational 
demonstration orders" for actual trading purposes. 
The information which will be presented upon application of this  
.ela  is in no way a representation to buy or sell securities, 
bonds, options or futures. 
This information is not intended to be used as the basis of any 
investment decisions, nor should it be construed as advice 
designed to meet the investment needs of any particular investor. 
The instructional examples which arise from the application of 
this .ela  are for educational purposes only and the past 
performance of the methods used to construct the examples are 
not necessarily representative of future behavior of the model. 
Remember, this is STRICTLY a mathematical model of a potential
method of market activity and in no way should be construed as
a recommendation of any activity in any market.
ALWAYS CHECK WITH YOUR LICENSED FINANCIAL PLANNER, ADVISOR, OR 
BROKER BEFORE TAKING ANY KIND OF INVESTMENT ACTIVITY.
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
Determining the parameters for the market model is critical to
the proper operation of the model for guidance in how a strictly
mechanical market trading model will work.  Examine closely the
information presented earlier on this subject.
The following is the frontend documentation which is a part of
the  .ela  that is titled  LSSNew_4a  . Parameters indicater were
derived from an optimization of the system on QQQ daily data.
          
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *}
    
Inputs: LengLSS(5),      {One of 2 TP detection parameters      }
                         {for daily data range = 2 to 9         }
                         {set negative to do reverse signals    }
        LengSMO(1),      {Smoothing of prices to use in above   }
                         {range for daily data is 0 to 5        }
                          
        LengPSMO(0.46),  {Smoothing of price before compute.    }
                         {Range of values is 0 to 4 in .5 incur }
                         {You ain't going to believe the effect }
        LSSDvMul(1.5),   {A multiplier for the LSS derivative   }
                         {to be used as a crossover filter to   }
                         {determine trade points.               }
                         {Range is 1 to 4 in steps of  .1 or so }
                                                      
        MaxDays (-2),    {Max days before evaluating if in a    }
                         {losing position and if so reverse if  } 
                         {this value is negative otherwise quit.}
                         {If MaxDays<1 then MaxDays*100 is used }
                         {and exit is based on moving average.  }
                         {Pretty complicated but generally just }
                         {a value of -4 to -7 and zero on next  }
                         {will work.                            }
        LengXitA( 2.8),  {Length for moving average to check for}
                         {reversal to occur if MaxDays negative }
                         {Typically use from -2 to -5  for DHA. }
                         {For T3 use 2 to 9 in steps of 0.1-both}
        BadStop(-1.5),   {Disaster stop to run with days stops  }
                         {the default is for prices near 70.00  }
        TakProf@(-1.3),  {Either a dollar amount (TPA<0) of a   }
                         {multiplier for ATR14 to set point at  }
                         {which to take a profit.  Must trade   }
                         {at least 2 contracts for this to work.}
        MaxCont(500),    {Maximum number of contracts to trade. }
                         {This works with previous parameter.   }
        LongShrt(0);     {-1=ShortOnly, 0=L&S, +1=LongOnly      }
                          
                          
  
Click on ADD TO CHART  to order LSSNew_4a signal for  $100.00   

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In the Bonds you will note that there is a very significant 
improvement in performance by use of the Take Profit facility.
You might check out the difference in the Sharpe ratio with
and without the TakeProfit facility.
Bonds_daily_tp00.gif (34236 bytes)

 

Bonds_daily_tp14.gif (33962 bytes)

 

 

Click on ADD TO CHART  to order LSSNew_4asignal for  $100.00   

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The ES traded on a WEEKLY basis does not show quite the improvement 
that the Bonds demonstrated but given the fact that this is weekly
data the results are really outstanding.

ES_weekly_tp00.gif (33886 bytes)

ES_weekly_tp13.gif (34826 bytes)

 

 

Click on ADD TO CHART  to order LSSNew_4asignal for  $100.00   

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The QQQ provides a rather interesting study.

QQQ_daily_tp00.gif (32801 bytes)

QQQ_daily_tp28.gif (33422 bytes)

 

 

Click on ADD TO CHART  to order LSSNew_4asignal for  $100.00   

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The OEX data presented below was computed using TS4 to insure that
the signal would work properly in TS4/TS5/TS6.

OEX_daily_tp12.gif (36697 bytes)

OEX_daily_tp01.gif (37441 bytes)

 

 

Click on ADD TO CHART  to order LSSNew_4a signal for  $100.00   
More information on parameter selection and pictures:

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