A technical resource for self-directed traders who want to understand the scientific underpinnings of the filters and indicators used in trading decisions This is a technical resource book written for self-directed traders who want to understand the scientific underpinnings of the filters and indicators they use in their trading decisions. Series: Wiley Trading. Num Pages: 256 pages, figures. BIC Classification: KFFM. Category: (P) Professional & Vocational. Dimension: 162 x 235 x 22. Weight in Grams: 458. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Cycle Analytics for Traders, + Downloadable Software: Advanced Technical Trading Concepts
Publisher: John Wiley & Sons Inc
Publication Date: 2013
Language: English
ISBN 10: 1118728513
ISBN 13: 9781118728512
Binding: Hardcover
Condition: New

About this title

Synopsis

A technical resource for self-directed traders who want to understand the scientific underpinnings of the filters and indicators used in trading decisions

This is a technical resource book written for self-directed traders who want to understand the scientific underpinnings of the filters and indicators they use in their trading decisions. There is plenty of theory and years of research behind the unique solutions provided in this book, but the emphasis is on simplicity rather than mathematical purity. In particular, the solutions use a pragmatic approach to attain effective trading results. Cycle Analytics for Traders will allow traders to think of their indicators and trading strategies in the frequency domain as well as their motions in the time domain. This new viewpoint will enable them to select the most efficient filter lengths for the job at hand.

Shows an awareness of Spectral Dilation, and how to eliminate it or to use it to your advantage
Discusses how to use Automatic Gain Control (AGC) to normalize indicator amplitude swings
Explains thinking of prices in the frequency domain as well as in the time domain
Creates an awareness that all indicators are statistical rather than absolute, as implied by their single line displays
Sheds light on several advanced cookbook filters
Showcases new advanced indicators like the Even Better Sinewave and Decycler Indicators
Explains how to use transforms to improve the display and interpretation of indicators

About the Author

John F. Ehlers worked as an electrical engineer at one of the largest aerospace companies in the industry before retiring as a senior engineering fellow. A graduate of the University of Missouri, he has been a private trader since 1976, specializing in technical analysis. The discoverer of Maximum Entropy Spectrum Analysis, he writes extensively on technical trading and speaks internationally on the subject.

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