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

· Sold by John Wiley & Sons
3.0
2 reviews
Ebook
544
Pages

About this ebook

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.

Ratings and reviews

3.0
2 reviews
Chris Jones
March 22, 2019
Total wast of money!
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Anil Das
November 29, 2020
AAA
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About the author

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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