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Rating: 
Summary: Important Update of a Gem of a Book
Review: The broad trading public has been slow to recognize John Ehlers work to apply cycles methodologies (from the sciences) to trading markets .... which is good for those of use who have discovered Ehlers' work with MESA (Maximum Entropy Spectral Analysis). The first edition of this book is still the clearest and most concise discussion of applying cycles theory to markets I've ever read. This new edition retains all of the content of the first edition, but updates it with a lot of new and additional information from Ehlers' recent research into cycles and his development of trading indicators and tools. Many are familiar with the J.M. Hurst classic: "The Profit Magic of Stock Transaction Timing". Ehlers goes far beyond Hurst's pioneering work. Ehlers is an original thinker, applying new techniques and research using MESA to the market. Hurst was using a multi-million dollar mainframe in the 60's .... all of us have 10,000X more computer power sitting on our desktops than Hurst had .... Ehlers techniques can help the serious trader and investor turn all that "horsepower" loose on the market today, making it accessible to even us small traders. Hurst was also constrained to using Fourier Analysis for cycles detection .... Ehlers' MESA overcomes the need of Fourier for long data spans to compute cyclic content. If you're serious about the markets, this book needs to be part of your library .... along with Ehlers other book: "Rocket Science For Traders"
Rating: 
Summary: A Theorist with communication skills problems
Review: This book is just plain horrible. I am a trader and a cyclical investor. I am also an engineer with Engineering Mechanics background, and very familiar with the complex math explained by Ehlers. But let me tell you, for people without any background in math this book is an absolute waste of time. The most important thing that Ehlers should have focused, he simply forgot or ignored. The book fails to show real life examples with buy-sell signals using the indicator. It goes on and on along the theoretical lines of cycle analysis and it stays at that throughout the book. It would have been much more entertaining to explain the indicator and show real life examples. But from my experience as a researcher and writer of research articles, people from this field tend to embelish and emphasize the theoretical size while completely ignoring the pure and simple aspects. A simple cycle analysis done with moving average detrending as explained by Pring is much easier. Also, a simple look at the charts and the drawing of a simple cycle lines is all that it takes to show you the turning points.
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