Over the past two decades, numerous articles in respected academic journals have approached technical analysis in a scientifically rigorous and intellectually honest manner, and now, Evidence-Based Technical Analysis looks to continue down this path. Organized into two parts, this valuable resource first establishes the methodological, philosophical, and statistical foundations of evidenced-based technical analysis (EBTA), and then demonstrates this approach—by using twenty-five years of historical data to test 6,400 binary buy/sell rules on the S&P 500.
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.
Filled with in-depth insights and practical advice, 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 useful rules/signals. However, since the historical performance of the rules/signals discovered by data mining are upwardly biased, new statistical tests are required to make reasonable inferences about future profitability. Two such tests, one of which has never been discussed anywhere heretofore, are described and illustrated.
If you want to use technical analysis to navigate today's markets, you must first abandon the subjective, interpretive methods traditionally associated with this discipline, and embrace an approach that is scientifically and statistically valid. Grounded in objective observation and statistical inference, EBTA is the approach to technical analysis you need to succeed in your trading endeavors.
The book gave an excellent analysis of technical trading and statistics, and exactly how he set up the tests of several thousand trading systems, all invented for the... Read morePublished 5 months ago by Harvey
I traded futures for 8 years. I can tell you I studied trading in options, futures and stocks, and forex night and day and I learned a lot along the way. Read morePublished 7 months ago by trader Mike
The great stuff in this book concerns subjective technical analysis (TA): chart patterns like pennants and head and shoulders, Elliott Wave, and so on. Read morePublished 11 months ago by TraderF
Not only is this a great introduction to technical analysis, but also is one of the best articulated statistics book out there. Read morePublished 14 months ago by Bobby Kian
MAKE SURE YOU KNOW WHAT YOU ARE BUYING! If you want a good review of statistical principles and someone to tell you why they should be applied to methods of technical analysis,... Read morePublished 17 months ago by Ben
Is a great book, t. however, I think it need more practical considerations. but, in general, is very very useful.Published 22 months ago by Amazon Customer
You are not going to find performance summaries or Tradestation code. But, what you will find is in depth thinking about the scientific method and statistics applied to trading. Read morePublished on May 9, 2012 by B. Rimes
David Aronson is to be Congratulated.
The statistical tests explained in his book (essentially chapters 4-7) are now required reading for the Market Technician... Read more