Ehlers Cycle Analytics for Traders + Downloadable Software

Advanced Technical Trading Concepts
1. Auflage 2013
ISBN: 978-1-118-72841-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 256 Seiten, E-Book

Reihe: Wiley Trading Series

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

Autoren/Hrsg.

Ehlers, John F.

Inhaltsverzeichnis

PREFACE
Chapter 1: Unified Filter Theory
Transfer Response
Nonrecursive Filters
Recursive Filters
Generalized Filters
Programming the Filters
Wave Amplitude, Power, and Decibels (dB)
Key Points to Remember
Chapter 2: SMAs, EMAs, or Other?
Simple Moving Averages(SMA)
Exponential Moving Averages(EMA)
Weighted Moving Average (WMA)
Median Filter
Key Points to Remember
Chapter 3: Smoothing Filters on Steroids
Nonrecursive Filters
Modified Simple Moving Averages
Modified Least-Squares Quadratics
Super Smoother
Supersmoother Filter Applications
Key Points to Remember
Chapter 4: Decyclers
Decycler Construction
Decycler Application
Decycler Oscillator
Key Points to Remember
Chapter 5: Bandpass Filters
Bandpass Filter
Bandpass Filter Q
Automatic Gain Control (AGC)
Spectral Dilation Removal
Bandpass Filter
Measuring the Cycle Period
Key Points to Remember
Chapter 6: Market Structure and the Hurst Coefficient
Fractal Dimension
Computing the Hurst Coefficient
The Hurst Coefficient in Action
Drunkard's Walk Hypothesis for Market Structure
Key Points to Remember
Chapter 7: Spectral Dilation
The Frequency Content of Indicator Outputs
The Roofing Filter As an Indicator
IMPACT OF SPECTRAL DILATION ON CONVENTIONAL INDICATORS
Key Points to Remember
Chapter 8: Autocorrelation
Background
Autocorrelation
Autocorrelation Periodogram
AUTOCORRELATION REVERSALS
Key Points to Remember
Chapter 9: Fourier Transforms
Spectral Dilation
Discrete Fourier Transform (DFT)
Key Points to Remember
Chapter 10: Comb Filter Spectral Estimates
Spectral Dilation
Computing a Comb Filter Spectral Estimate
Key Points to Remember
Chapter 11: Adaptive Filters
Adaptive Relative Strength Index (RSI)
Adaptive Stochastic Indicator
Adaptive CCI (Commodity Channel Index)
Adaptive Bandpass Filter
Adaptive Indicator Comparison
Key Points to Remember
Chapter 12: The Even Better Sinewave Indicator
Even Better Sinewave Approach
Even Better Sinewave Description
USING THE EVEN BETTER SINEWAVE INDICATOR
Key Points to Remember
Chapter 13: Convolution
Theoretical Foundation
Heatmap Display
Computing Convolution
Key Points to Remember
Chapter 14: The Hilbert Transformer
Analytic Signals
Hilbert Transformer Mathematics
Computing the Hilbert Transformer
The Hilbert Transformer Indicator
Using the Hilbert Transformer to Compute the Dominant Cycle
Dual Differentiator
Phase Accumulation
Homodyne
Key Points to Remember
Chapter 15: Indicator Transforms
Fisher Transform
Inverse Fisher Transform
Cube Transform
Key Points to Remember
Chapter 16: Swamicharts
Swamicharts Overview
Swamicharts RSI
Swamicharts Stochastic
Roll Your Own Swamicharts
Key Points to Remember
Chapter 17: Swing Trading Strategies
Conventional Wisdom
Anticipating the Turning Point
Sine Wave Uniqueness
Safety Valve
Exiting a Trade
Stop Loss
Evaluating a Trading Strategy
Monte Carlo Evaluation
Stockspotter.com
Key Points to Remember

Über Autor(innen)

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.