Review Cycle Analytics for Traders: Advanced Technical Trading Concepts
by JOHN F. EHLERS
The book is a technical reference for self-directed traders. The material includes a scientific explanation of the filters and indicators that traders use to make trades.
The solutions that have been seen as potent for the trading industry are taken from years of research, tests, and practical application. And while the book is highly-technical and contains specific information on how one can conduct good trades, the language that the author chose to employ is simple and can be easily understood. With this, the book is able to relay to even the average layman, concepts, and resolutions that would render great effectiveness, albeit simply-written.
The range of solutions contained in the book helps traders gather viewpoints and choose which would be potent to solve their problems.
The book discusses the following topics:
- Spectral Dilation: its elimination and how this could be used for one’s benefit
- The usage of Automatic Gain Control (AGC)
- Time Domain
- Frequency Domain
- Indicators as Statistical, not absolute
- Advanced Cookbook filters
- Advanced indicators (i.e., Even Better Sinewave, Decycler)
- Improvement in the display and indicators interpretation
Readers agree that the book is a breath of fresh air. It is filled with variations of topics that are usually tackled within the contents of such materials. They see the book as a practical manual for traders who come from all walks of life.
About the Author
The author, John F. Ehlers, is an Electrical Engineer. From the University of Missouri, Ehlers have received his BSEE and MSEE. He further took his doctoral from George Washington University. He introduced the MESA cycles-measuring algorithm.
Table of Contents
About the Author
- Chapter 1- Unified Filter Theory
- Chapter 2- SMAs, EMA, or Other?
- Chapter 3- Smoothing Filters on Steroids
- Chapter 4- Decyclers
- Chapter 5- Band-Pass Filters
- Chapter 6- Market Structure and the Hurst Coefficient
- Chapter 7- Spectral Dilation
- Chapter 8- Autocorrelation
- Chapter 9- Fourier Transforms
- Chapter 10- Comb Filter Spectral Estimates
- Chapter 11- Adaptive Filters
- Chapter 12- The Even Better Sinewave Indicator
- Chapter 13- Convolution
- Chapter 14- The Hilbert Transformer
- Chapter 15- Indicator Transforms
- Chapter 16- SwamiCharts
- Chapter 17- Swing-Trading Strategies