Additional information
by John F. Ehlers (Author)
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
Front Jacket
Cycles are a unique kind of trading analytics, being one of the few types of market data that can be accurately measured. But understanding what the cycles mean and which trades to make based on them is an extremely complex process. Cycle Analytics for Traders is a technical resource for self-directed traders that explains the scientific underpinnings of the filters and indicators used to make effective and profitable trading decisions. Rather than simply using cycle analytics on blind faith, this book explores and explains the how and why of cycles.
Though technical in nature, Cycle Analytics for Traders emphasizes simplicity rather than mathematical purity, taking a pragmatic realworld approach to attaining effective trading results. It allows traders to think of indicators and trading strategies in the frequency domain as well as their motions in the time domain, letting them select the most efficient filter lengths for the job at hand. Traders with little mathematical background will learn how to assess general market conditions to their advantage while technically astute traders will be able to create indicators and strategies that automatically adapt to measured market conditions using the computer code described here.
Additionally, author John Ehlers explains several vital concepts all traders should understand: how to eliminate or use Spectral Dilation to their advantage; how to use Automatic Gain Control to normalize indicator amplitude swings; the fact that all indicators are statistical rather than absolute; how to use advanced cookbook filters; several different methods for estimating market spectra and sifting out the Dominant Cycle; and how to use transforms to improve the display and interpretation of indicators.
Cycle Analytics for Traders shows traders how to approach trading as a statistical process that should be judged from the long-term view, rather than a small sample set of just a few trades-no matter how profitable those few are. With this practical and informative book as a guide, any trader can master cycle analytics, letting statistics and science light the way to long-term trading success.
Back Jacket
Cycles are a unique kind of trading analytics, being one of the few types of market data that can be accurately measured. But understanding what the cycles mean and which trades to make based on them is an extremely complex process. Cycle Analytics for Traders is a technical resource for self-directed traders that explains the scientific underpinnings of the filters and indicators used to make effective and profitable trading decisions. Rather than simply using cycle analytics on blind faith, this book explores and explains the how and why of cycles.
Though technical in nature, Cycle Analytics for Traders emphasizes simplicity rather than mathematical purity, taking a pragmatic real-world approach to attaining effective trading results. It allows traders to think of indicators and trading strategies in the frequency domain as well as their motions in the time domain, letting them select the most efficient filter lengths for the job at hand. Traders with little mathematical background will learn how to assess general market conditions to their advantage while technically astute traders will be able to create indicators and strategies that automatically adapt to measured market conditions using the computer code described here.
Additionally, author John Ehlers explains several vital concepts all traders should understand: how to eliminate or use Spectral Dilation to their advantage; how to use Automatic Gain Control to normalize indicator amplitude swings; the fact that all indicators are statistical rather than absolute; how to use advanced cookbook filters; several different methods for estimating market spectra and sifting out the Dominant Cycle; and how to use transforms to improve the display and interpretation of indicators.
Cycle Analytics for Traders shows traders how to approach trading as a statistical process that should be judged from the long-term view, rather than a small sample set of just a few trades--no matter how profitable those few are. With this practical and informative book as a guide, any trader can master cycle analytics, letting statistics and science light the way to long-term trading success.
Author Biography
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.
