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RE: [amibroker] System optimization process idea & feedback request



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Gary
I am certainly not one of 
the more experienced amongst us, but as far as I am concerned they are still 
determining the optimal solution based on historical data, which in their first 
statement they say is no good. It matters little to me if they are looking 
forward or backward, they are still relying on certain historical price 
setups to happen again as they did in the past.
 
Unless of course they are 
really building a model based on future prices, in which case their crystal ball 
is better then mine :)
 
 
Cheers,Graham<A 
href="">http://groups.msn.com/ASXShareTrading<A 
href="">http://groups.msn.com/FMSAustralia 


  
  <FONT 
  face=Tahoma size=2>-----Original Message-----From: Gary A. 
  Serkhoshian [mailto:serkhoshian777@xxxxxxxxx] Sent: Thursday, 23 
  October 2003 9:08 PMTo: 
  amibroker@xxxxxxxxxxxxxxxSubject: [amibroker] System optimization 
  process idea & feedback request
  Hello all,
   
  Since we have been throwing around methods of optimizing and selecting 
  objective measures, I was wondering if some of the more skilled in our group 
  could translate the following passage, as my Sergeant would say back in 
  my Army days " in terms a 10-year old could understand".  The 
  passage is from from Bob Pelletier in the latest CSI Technical 
  Journal.
   
  Some pre-emptive questions belfore the passage:
   
  1.  Fred, is Pelletier's comments the same as what you are referring 
  to in terms of making system adjustments on the fly?  Optimizing on only 
  OS data on a go-forward basis?  If you are willing to break it down into 
  a process it would be much appreciated by myself and probably a lot of 
  others.
   
  2.  If he is going only one pass through the data how is he 
  coming up with paramaters?
   
  I'm typing out his comments so please forgive typos.
   
  PELLETIER'S COMMENTS
  OCT 03 CSI TECHNICAL JOURNAL
   
  "...  This is a novel approach that depends upon 
  large amounts of data to arrive at a solution.  Theoretically, the more 
  data supplied the better should be the result.  It views all markets and 
  variables forward in time.  There is no hindsight optimization 
  testing.  Analysts correctly believe that basing future decisions on 
  results optimized in the past tends to produce unrepeatable performance in 
  real-time trading.  Such complaints boil down to the derogatory label of 
  "curve fitting".  None of that is done here.  This model learns by 
  studying only future (or forward) facts in time.  Only one pass through 
  all of the supplied data defines the trading model that will be forecasting 
  tomorrow's prices.
   
  The model-building stage of the process includes a 
  feedback mechanism that measures the daily causal effects of each independent 
  variable upon the movement of the dependent variable.  The feedback logic 
  tends to emphasize  the positive and negative effects of each variable 
  upon the dependent variable.  The decision-making process process 
  therefore becomes increasingly heuristic over time as more and more price 
  history is reviewed.  The model is encouraged by predictive success and 
  discouraged by the apparent failures of all independent time series 
  supplied.  The basic intent of the process is to teach the computer to 
  profitably trade a dependent variable basded upon the predictive 
  characteristics of all independent variables...."
   
  COMMENTS???
   
   
   
   
   
  
  
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