Mel Member Posts: 20 Joined: 3/4/2014  User Profile | I think I now understand it, and the model describes how I see what it does. My complaint was as a new user, this took me a lot more effort that it should, and I am trying to reduce that effort for others. OV's complexity for me comes from trying to image how changes in various parameter would affect things. I don't like to randomly tinker with things - my old physics professor told me that "every calculation should be preceded by a thought." To do meaningful experiments with OV, for me, it is necessary to have a white box view, not a black box view. Then I can construct experiments that allow me to learn, not aimlessly wander. The model now allows me to understand the basis for how to get to the final allocation to a position, to understand that portfolios are not yet object with their own properties that can balanced with each other - all orders are are currently summed across portfolios. The model says lists are confined to strategies, and putting strategies into a portfolio does not cause them to operate on all the lists in the portfolio the other strategies use. This kind of nuance is not obvious to the new user. I believe it says that equity curve conditions apply only to strategies, not portfolios, since portfolios are not yet objects. I am now at the state that I do not know what I do not know. As I find those things, I intend to learn them, and add them to the document, for myself, if not for others. Mel [Edited by Mel on 5/10/2014 8:27 AM] | |
