I think there are two ways, one is to use a Java indicator library, and feed Joone with arrays of numbers, like what this guy did: http://www.jooneworld.com/wiki/tiki-...orial#comments
Another is my idea, we can write an EA, which creates the input files(probably also the validation files) when running inside the strategy tester, then train Joone with these files.
Finally, after training, when using it for real, we have to use an EA to talk to Joone. All of these are not hard to me(will just take some time). The hard one is what to be used as inputs(definately not raw data, should be a combination of indicators). The structure and number of hidder neurals are also unknown, but we could find by repeating the training process.