Using the ArrayList vs. LinkedList change, I ran the same test as below and it came to 447 (vs. 467).
Every little helps though! On Wed, Jul 22, 2009 at 7:29 AM, Martin Koistinen <[email protected]>wrote: > My MacBook Pro with 2x 2.53 GHz cores and 4GBs RAM requires 467 seconds to > do the same optimization, or roughly 2.5X longer. > > > On Wed, Jul 22, 2009 at 3:37 AM, nonlinear5 <[email protected]>wrote: > >> >> > Regarding you machine... when you optimise Equalizer with the same >> ranges as >> > is in SVN using Brute Force, how many seconds does it take? Or rather, >> how >> > many strategies per second? >> > >> >> I used this dataset: >> http://jbooktrader.googlecode.com/files/ES-sample.zip >> >> The strategy was Equalizer as it is currently in SVN. >> >> Brute force optimization has run 19278 strategies in 186 seconds. To >> normalize it, we can take the size of the historical data file into >> consideration. The normalized speed would then be about 42 million >> market depth samples per second: >> (19278 strategies * 401661 lines in the data file) / 186 seconds = 42 >> million >> >> >> What is your time? >> >> >> --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "JBookTrader" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/jbooktrader?hl=en -~----------~----~----~----~------~----~------~--~---
