These features are new, and experimental. The value of them is yet to be tested. Ideally take the best OFP score of the top 1/3 of your best 300 systems

and compare to the out os sample results to the OFP score of the bottom 1/3.

Not tested but I think this is how it can be done.

Note in build 67.05, a low OFP score is best. In later builds we may change this to a high OFP score is best.



This shows the fitness of every parameter used, sorted from low to high.

A random space WF should be done. This gives a random range of parameters X % below and above the original parameters.



Note in the example, we used 500 WF tests with the parameters being + & - 25% from the original parameters.

the +-25% is derived from the 50 / 2. See nearest % 50 below

Its mildly recommend not to optimize the stop and profit target as these have little effect on the system.


Note in above, search space can also be the entire parameter range the GSB allows for all indicators.

If this is done increase the # of random space tests that are done.


Note in the example above, 53% of results are > the original fitness.. In the example below 90.8% of results are below the original fitness.

Its likely in later build this figure will be % of results ABOVE the original fitness, not below.





How to get a CSV file of the results.

right click the system and export WF optimization profile.