Quote from ScottD:
Weâve made substantial progress and this seems like a good time in the project to draft a summary of where weâve been and where weâre heading.
Progress and milestones
⢠We started the Cashcow project in earnest on December 9, 2008.
⢠Jack and I have established rapport, clear communications, and an effective design-build process.
⢠We have codified a powerful set of logic, and Jack has certified each major release so far (1.0, 1.1, 1.2) as accurate.
⢠We created an ATS dashboard, which has turned out to be an efficient and effective analysis, diagnosis, and validation tool.
⢠We publically shared the baseline logic and code. Others, even antagonists, have taken the ideas and run with them, a beautiful thing.
⢠The âI deserveâ¦â , âfeed meâ¦â, âitâs not possible [for me]â¦â, and the âIâll take but not giveâ¦â types display their true colors and filter themselves out.
⢠We continue to share the latest ATS with a self-selected community of contributors from around the world.
Real world testing and performance
⢠We have been focused on deductive reasoning instead of curve fitting profits. Having said that, we did expect each release to be profitable.
⢠Each logic release has had some profitable days and flashes of brilliance, but the logic has not been profitable over a sustained multi-week forward test or multi-month back test period.
⢠Notwithstanding, I feel we have made truly excellent progress and we'll get there.
Looking forward
⢠Release 1.3 is work-in-progress and includes powerful new logic, such as Hold, Major Change, and Volume Differentiation.
⢠Release 1.4 is scoped to include MACD Sequences and Rays.
⢠I feel it is possible to design and build a profitable ATS based on âbeginnerâ logic.
⢠I feel there is a real advantage to designing and building a profitable âbeginnerâ release prior to incorporating greater sophistication/complexity
associated with YM or intra-bar decisions.
⢠The ATS architecture and code remains organized, modular, clean, intuitive, flexible, easily modifiable, and easily validate-able.
⢠We continue to deductively analyze the real world performance and make excellent additions and refinements.
