Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals

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Wiley, 2007 - 528 Seiten
"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 these pages, expert David Aronson details this new type of technical analysis that - unlike traditional technical analysis - is restricted to objective rules, whose historical profitability can be quantified and scrutinized. Evidence-Based Technical Analysis 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. Experimental results presented in the book will show you that data mining - a process in which many rules are back-tested and the best performing rules are selected - is an effective procedure for discovering rules/signals"--Jacket.

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Inhalt

Methodological Psychological
13
The Illusory Validity of Subjective
33
The Scientific Method and Technical
103
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Autoren-Profil (2007)

DAVID ARONSON is an adjunct professor at Baruch College, where he teaches a graduate- level course in technical analysis. He is also a Chartered Market Technician and has published articles on technical analysis. Previously, Aronson was a proprietary trader and technical analyst for Spear Leeds & Kellogg. He founded Raden Research Group, a firm that was an early adopter of data mining within financial markets. Prior to that, Aronson founded AdvoCom, a firm that specialized in the evaluation of commodity money managers and hedge funds, their performance, and trading methods. For free access to the algorithm for testing data mined rules, go to www.evidencebasedta.com.

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