Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.;Cover; Contents; Title; Copyright; Dedication; Acknowledgments; About the Author; Introduction; Part I: Methodological, Psychological, Philosophical, and Statistical Foundations; Chapter 1: Objective Rules and Their Evaluation; The Great Divide: Objective Versus Subjective Technical Analysis; TA Rules; Traditional Rules and Inverse Rules; The Use of Benchmarks in Rule Evaluation; Other Details: The Look-Ahead Bias and Trading Costs; Chapter 2: The Illusory Validity of Subjective Technical Analysis; Subjective TA is Not Legitimate Knowledge.
Technical
{PDF} Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals Aronson, David
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