Rating: 
Summary: Almost useless
Review: The title only indicates part of the true subject matter of this book. The book teaches about fractal analysis of any data set, and uses financial markets as special cases to illustrate the concepts involved in fractal analysis. He begins with a brief, but facinating history of fractals, and you learn the concepts you will need to form your own trading strategies. Mr. Peters demonstrates an easy familiarity with fractals, and this serves to keep the book interesting through its most difficult mathmatical passages.
Rating: 
Summary: simple as possible intro to fractals and markets
Review: The title only indicates part of the true subject matter of this book. The book teaches about fractal analysis of any data set, and uses financial markets as special cases to illustrate the concepts involved in fractal analysis. He begins with a brief, but facinating history of fractals, and you learn the concepts you will need to form your own trading strategies. Mr. Peters demonstrates an easy familiarity with fractals, and this serves to keep the book interesting through its most difficult mathmatical passages.
Rating:
Summary: Gets you up and running with chaos theory for time series
Review: This book includes a very detailed description of how to apply some chaos theory techniques - primarily R/S analysis - to time series data. With this technique, one can gauge whether a time series is completely random, completely predictive, or a mixture of these. This book glosses over some conceptual topics such as Efficient Market Theory and the Fractal Market Hypothesis in favor of details to perform a rigorous statistical analysis. These conceptual topics are better covered in Peters' earlier work "Chaos and Order in the Capital Markets". For the analytically oriented reader, there can be much frustration as equations are often initially presented in sloppy and unusable forms with undefined parameters (hence 4 of 5 stars). However, these are subsequently broken down and presented in a step-by-step manner that will allow most readers to implement his techniques. Overall, this is an excellent introductory book for the practitioner or economist, not so great for the non-technical reader.
Rating: 
Summary: The best reference I've seen for the non-statistician.
Review: This, the second of Edgar Peter's books advancing and investigating an advanced market view, is clearly the best reference I've seen that is still mostly comprehensible to someone outside the field of formal market statistics. And I've spent a fortune on books trying to grasp what Mr. Peters explains successfully in this one volume. For readers trying to comprehend a market model beyond the standard EMH, or interested in the most common-sense piece of work I've seen to date in market-relevant time-series analysis, please check out Edgar's book. I don't see how you could be disappointed. Dan Reinhart (the Danimal)
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