Actually our other product, QuantDeveloper, features a "component" strategy development model where you can build a strategy from Entry, Exit, MoneyManager, etc. components.
In this model you can develop a strategy playing a lego game, i.e. combining f.ex. SMA entry with Stop exit and ATR money manager.
Although this can sound very attractive for a non-programmer, there are problems with this approach:
1. a user still need to program new components (the same in TB)
2. the model is not good for automated strategies where you need to trace order state change between components
Thus I think OpenQuant offers the most simple ATS development model where a lot of things happen behind the scene, so that actual strategy programming is very simple.
As for you marketing advise... I read it as "add a couple of zeroes to product price and position it as a hedge fund product since masses are not able to use it anyway"... This is a good point to consider
In this model you can develop a strategy playing a lego game, i.e. combining f.ex. SMA entry with Stop exit and ATR money manager.
Although this can sound very attractive for a non-programmer, there are problems with this approach:
1. a user still need to program new components (the same in TB)
2. the model is not good for automated strategies where you need to trace order state change between components
Thus I think OpenQuant offers the most simple ATS development model where a lot of things happen behind the scene, so that actual strategy programming is very simple.
As for you marketing advise... I read it as "add a couple of zeroes to product price and position it as a hedge fund product since masses are not able to use it anyway"... This is a good point to consider
