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    The Best TA Book Ever Published!!

    First, I know it seems strange, but I just happened to notice the thread on my book. It was pure random luck, believe it or not. At first I had thought that surfer was one of about 7 folks who got early copes to review for various websites. But when I checked with a few to see if they were...
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    The Best TA Book Ever Published!!

    I realize I'm new here folks. But what started out as a potentially interesting conversation about the ideas in my book seems to have devolved into..... well a sophomoric rank-out contest. What gives? David Aronson
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    The Best TA Book Ever Published!!

    Useful information from market data demands a rigorous approach - scientific method and statistical inference. But the normal t-test does not work under usual TA practice. Data mining works for finding useful rules but the conditions must be right. I discuss those conditions Also results...
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    The Best TA Book Ever Published!!

    Can you tell me more. Is it a lending library? Does TD do reviews for this list and others and how might I get in touch with him. Thanks David Aronson
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    The Best TA Book Ever Published!!

    Part I : Methodological, Psychological, Philosophical and Statistical Foundations Introduction Chapter 1: Objective Rules and Their Evaluation Chapter 2: The Illusory Validity of Subjective Technical Analysis Chapter 3: The Scientific Method and Technical Analysis Chapter 4...
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    The Best TA Book Ever Published!!

    I am the author of the book being discussed here. I can assure you that, although I am grateful for the nice things surfer has said about it, I have no connection or any special deals with him to say this. I hope this clarifies the matter and I am glad that some folks have seen the value in...
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    QQQQ trading system for a hedge fund

    One approach your associate might use to get something that's above and beyond the norm is to start with an existing system - AST, Timing Cube, etc. and then improve it via signal filtering. This boils down to data mining exercise. The filter would try to reject signals with above average loss...
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