Thanks. There are no source files in that JAR. I look forward to looking at
how you've done it.

On Wed, Aug 18, 2010 at 8:53 AM, new_trader <[email protected]> wrote:

> Under this link
> http://groups.google.com/group/jbooktrader/web/JBTWebOptimizer.jar
> you will find a web based version of the JBT optimizer.
> It is intended to be used in headless environments with access via web
> browser.
> My personal use case:
> I am using it in the Amazon cloud for heavy duty optimization jobs.
> On my local machine some optimization jobs are running for ~8 hours.
> In the Amazon cloud it is possible to use the Cluster Compute Instance
> of type Quadruple Extra Large which costs $1.60 per hour.
> There is an Amazon Machine Image (AMI) with the id ami-7ea24a17 with
> CentOS which can be run with this instance type. The JBT benchmark
> with the Equalizer strategy needs 377 seconds to complete. On Eugene’s
> Intel i7-920  machine this benchmark needed 688 seconds – see this
> thread for reference:
>
>
> http://groups.google.com/group/jbooktrader/browse_thread/thread/cb5a20bdcfc47c81/eea0042e413c196f
>
> So JBT in the Cloud is very fast!
>
> How to use the JBT Web Optimizer (JBTWO):
> -----------------------------------------------------------------
>
> Start it on the command line as you start JBT. My recommended setup:
> “java –server –Xmx12288M JBTWebOptimizer.jar <directory where you
> start JBTWO>”
> Important is the –server switch: here the Java VM runs in server mode.
> In many cases this doubles the execution speed of Java programs, in
> the JBT case it doubles the speed.
> The Quadruple Extra Large Instance type has 23 GB RAM so 12GB for
> JBTWO is OK. Of course for starters you can use –Xmx2014M
> The above command line starts JBTWO. It starts an inline Jetty servlet
> container. The JBTWO servlet is listening on port 80. It has no
> timeout so the optimization session can run endlessly.
> When testing on your local machine simply enter http://localhost in
> your favorite browser. When running in the Cloud you have to enter the
> public IP address of your Amazon AWS instance.
> The start screen lists the strategies contained in the JAR file.
> Select one strategy and press the Optimize… button. This brings you to
> the optimizer screen.  You have to enter manually the path of the data
> file with your tick data. In contrast to JBT no file selector is
> available. You can select the data range. The calendar selector seems
> to have a little display bug when it is set to status disabled. I will
> have to check this. But it is only cosmetics. In the parameters
> section you can edit your parameters as you are used to from JBT. When
> pressing the Advanced… button you see the advanced optimization
> options. As I have no slider control you have to enter manually the
> parameter for the density of the Divide&Conquer optimizer.
> When you have setup all your stuff you can press the Optimize button.
> The optimizer starts as you know it from Swing JBT. The screen behaves
> nearly exactly like his Swing based big brother.
> There are some layout issues but this is only cosmetics.
> There is an issue when the optimization run has a lot of results. Then
> the results table becomes unresponsive, de facto you cannot use it.
> This can happen when you set the number of trades to a very low
> number.
> In the jar file I have included the strategies delivered with JBT
> 7.06. If you want to test your own strategies simply put them in the /
> com/jbooktrader/strategy folder in the JAR file. Technically a Java
> JAR file is a ZIP file so you can do this with Winzip. In the JAR file
> are many other files since I have packed it as a single Jar file, so
> don’t worry.
> JBTWO is based on the JBT706 code base with only one little
> modifications to com.jbooktrader.platform.startup.JBookTrader.java and
> com.jbooktrader.platform.util.ClassFinder.java
>
> I will do some cleanup on my code and then publish it on this web site
> in the next few days.
>
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