thanks. Will have a look,

Ed


  ----- Original Message ----- 
  From: Fred 
  To: amibroker@yahoogroups.com 
  Sent: Thursday, May 08, 2008 5:42 PM
  Subject: [amibroker] Re: Fitness Criteria that incorporates Walk Forward 
Result


  There's a simple example of this in the UKB under Intelligent 
  Optimization ...

  --- In amibroker@yahoogroups.com, "Edward Pottasch" <[EMAIL PROTECTED]> 
  wrote:
  >
  > hi,
  > 
  > "While optimization can be employed to search for a good system via 
  > methods utilizing automated rule creation, selection and 
  combination 
  > or generic pattern recognition"
  > 
  > anyone care to explain how this works? Some kind of inversion 
  technique? Here is what I want now give me the rules to get there :)
  > 
  > thanks,
  > 
  > Ed
  > 
  > 
  > 
  > ----- Original Message ----- 
  > From: Fred 
  > To: amibroker@yahoogroups.com 
  > Sent: Thursday, May 08, 2008 2:37 PM
  > Subject: [amibroker] Re: Fitness Criteria that incorporates Walk 
  Forward Result
  > 
  > 
  > While optimization can be employed to search for a good system 
  via 
  > methods utilizing automated rule creation, selection and 
  combination 
  > or generic pattern recognition most people typically use 
  optimization 
  > to search for a good set of parameter values. The success of the 
  > latter of course assumes one has a good rule set i.e. system to 
  begin 
  > with.
  > 
  > As far as your prediction is concerned ... I suspect there are 
  lots 
  > of people, some of who post here, who could demonstrate otherwise 
  if 
  > they chose to ...
  > 
  > --- In amibroker@yahoogroups.com, "brian_z111" <brian_z111@> 
  wrote:
  > >
  > > "IS metrics are always good because we keep optimizing until 
  they 
  > > are" (or words to that effect by HB) which is true.
  > > 
  > > It is not until we submit the system to an unknown sample, 
  either 
  > an 
  > > OOS test, paper or live trading that we validate the system.
  > > 
  > > Discussing your points:
  > > 
  > > IMO we are talking about two different trading approaches, or 
  > styles 
  > > (there is no reason we can't understand both very well).
  > > 
  > > One is the search for a good system, via optimization, with the 
  > > attendant subsequent tuning of the system to match a changing 
  > market.
  > > 
  > > If I understand Howard correctly he is an exponent of this 
  style.
  > > 
  > > It is my prediction that where we are optimising, using 
  lookback 
  > > periods, that the max possible PA% return will be around 30, 
  maybe 
  > > 40, for EOD trading.
  > > 
  > > Do we ever optimise anything other than indicators with 
  lookback 
  > > periods?
  > > If so that might be a different story.
  > > 
  > > Bastardising Marshall McCluhans famous line I could say "the 
  > > optimization is the method".
  > > 
  > > It is also possible to conceptually optimize the system, before 
  > > testing, to the point that little, or no, optimization is 
  required 
  > > (experienced traders with a certain disposition do this quite 
  > > comfortably but it doesn't suit the inexperienced and/or those 
  who 
  > > don't have the temperament for it).
  > > 
  > > So, if a system has a sound reason to exist, and it is not 
  > optimized 
  > > at all, and it has a statistically valid IS test then it his 
  highly 
  > > likely to be a robust system, especially if it is robust across 
  a 
  > > range of stocks/instruments.
  > > The chances that this is due to pure luck are probably longer 
  than 
  > > the chance that an optimized IS test, with a confirming OOS 
  test, 
  > is 
  > > also a chance event.
  > > 
  > > However, if I had plenty of data e.g. I was an intraday trader, 
  > then 
  > > I would go ahead and do an OOS test anyway (since the cost is 
  > > negligible)
  > > 
  > > Re testing on several stocks.
  > > 
  > > If the system is 'good' on one symbol, (the sample size is 
  valid) 
  > and 
  > > it is also good on a second symbol (also with a valid sample 
  size) 
  > is 
  > > that any different from performing an IS and an OOS test?
  > > 
  > > For stock trading, I call the relative performance, on a set of 
  > > symbols, 'vertical' testing as compared to 'horizontal' testing 
  > > (where horizontal testing is an equity curve).
  > > 
  > > Yes, if an IS test, with no optimization, beat the buy & hold 
  on 
  > > every occasion (or a significant number of times) in a vertical 
  > test 
  > > and the sum of that test was statistically valid and the 
  horizontal 
  > > test (the combined equity curve) was 'good' it would give you 
  > > something to think about for sure.
  > > If some of the symbols, in the vertical stack, had contrary 
  > returns, 
  > > compared to the bias of my system, I probably would start to 
  get a 
  > > little excited.
  > > 
  > > (I think perhaps you were alluding to something along those 
  lines).
  > > 
  > > BTW did you know that the Singapore Slingers play in the 
  Australian 
  > > basketball league?
  > > 
  > > Cheers,
  > > 
  > > brian_z
  > >
  >



   

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