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Strategies & Market Trends : A.I.M Users Group Bulletin Board -- Ignore unavailable to you. Want to Upgrade?

To: matvest who wrote (14522)	1/22/2001 10:30:27 PM
From: aptus	Read Replies (2) \| Respond to of 18928

Hello Larry, Regarding your comment... "BTW, I agree with you that it is harder to learn AIM with AI & PCA than Newport" I'm not sure if you saw my reply to Bernie in post # 14495, but if you did see it and you still think it is more difficult to learn AIM with AI than Newport, I'd appreciate you telling me your reasons. AI 2.0 is currently under development and if there are valid reasons why AI makes AIM more difficult to learn than Newport (or any other AIM software for that matter), I'd like to address them in version 2.0 (BTW, Please don't take this note in a negative manner as it's meant only to gather information. I've covered a number of points below and they don't all apply to what you stated, so please ignore anything that doesn't apply. In regard to your comments, I'd just like to make sure I don't miss any of the reasons you think AI makes learning more difficult. If there is something I haven't thought of or covered, I'll make every attempt to address it in AI 2.0. I've already noted your comments on the help file regarding new users.) With this in mind... The concepts behind Automatic Investor have always been as follows: 1. Provide a software tool that will implement the basic AIM algorithm developed by Robert Lichello (and enhanced by Tom Veale). 2. Provide functionality that gives the user a wide variety of choices as to how they can use the product and give users an easier way to do things. 3. Incorporate user feedback into the product as quickly as possible. As far as I can tell, Bernie thinks Newport is a superior AIM learning tool because it forces users to manually enter historical data and see the results (Is this the same reason you think Newport makes it easier to learn AIM?). As I mentioned in post # 14495, AI allows this too. But in keeping with point (2), above, it also allows users to choose to perform historical analysis using an easier method -- and provides a detailed report of the results. Similarly, AI allows you to update prices at anytime -- not just once a week. However if users want to update weekly, AI will be happy to do it (again, users have the choice). It's the same with Internet price updates, users can choose to update prices manually if they wish, but they can also choose to automatically update all prices in their portfolio via the Internet. The bottom line is that I don't believe software should force users into doing things the way the developer thinks they should be done. After basic functionality has been implemented, users should be allowed to work with the software on their terms. If they choose not to use some enhanced functionality, that's okay. However it's been my experience that eventually users will gravitate towards the easier way of doing things. Going back to learning, I firmly believe that you can maximize your AIM knowledge by studying the AI historical reports and seeing how a change in certain variables and combinations of variables affect the Portfolio Control and the outcome. I agree that manually entering data and observing the outcome is a good way to start the learning process, but once you've been through that exercise a few times, automatic simulation results will increase your knowledge by leaps and bounds. And the fact you can do it quickly, reduces the time it takes to learn. Of course the ultimate AIM teacher is experience managing real money for many years. But no software can currently give you that. So in keeping with point (3), above, I'd be very interested in any ideas or comments you have. If it makes sense, they will be added to AI v2.0. Thanks in advance, Mark.