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

Cover
John Wiley & Sons, 11.07.2011 - 544 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 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.
 

Inhalt

About the Author
15
Methodological Psychological
The Illusory Validity of Subjective Technical
The Scientific
Method
Statistical Analysis
in Statistical Inference
Deriving The Sampling Distribution With The Computer
DataMining Bias The Fools Gold of Objective
The Problem of Erroneous Knowledge in Objective
Objective TA Research
An Effect With Two Causes
Dealing With The DataMining BIAS
Theories of Nonrandom Price Motion
Index
Case Study Results and the Future of

Sampling Distribution
Proof That Detrending Is Equivalent

Andere Ausgaben - Alle anzeigen

Häufige Begriffe und Wortgruppen

Autoren-Profil (2011)

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.

Bibliografische Informationen