Description

Book 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
  • <

    Table of Contents

    Preface ix

    About the Author xiii

    Chapter 1 Unified Filter Theory 1

    Transfer Response 1

    Nonrecursive Filters 3

    Recursive Filters 8

    Generalized Filters 10

    Programming the Filters 11

    Wave Amplitude, Power, and Decibels (dB) 13

    Key Points to Remember 13

    Chapter 2 SMAs, EMAs, or Other? 15

    Simple Moving Averages (SMAs) 15

    Exponential Moving Averages (EMAs) 18

    Weighted Moving Averages (WMAs) 21

    Median Filter 22

    Key Points to Remember 23

    Chapter 3 Smoothing Filters on Steroids 25

    Nonrecursive Filters 25

    Modified Simple Moving Averages 29

    Modified Least-Squares Quadratics 30

    SuperSmoother 31

    SuperSmoother Filter Applications 34

    Key Points to Remember 36

    Chapter 4 Decyclers 39

    Decycler Construction 39

    Decycler Application 41

    Decycler Oscillator 43

    Key Points to Remember 45

    Chapter 5 Band-Pass Filters 47

    Band-Pass Filter 47

    Band-Pass Filter Q 51

    Automatic Gain Control (AGC) 54

    Spectral Dilation Removal 56

    Band-Pass Filter 56

    Measuring the Cycle Period 58

    Key Points to Remember 61

    Chapter 6 Market Structure and the Hurst Coefficient 63

    Fractal Dimension 65

    Computing the Hurst Coefficient 67

    The Hurst Coefficient in Action 68

    Drunkard’s Walk Hypothesis for Market Structure 70

    Key Points to Remember 74

    Chapter 7 Spectral Dilation 77

    Frequency Content of Indicator Outputs 77

    Roofing Filter as an Indicator 80

    Impact of Spectral Dilation on

    Conventional Indicators 83

    Key Points to Remember 88

    Chapter 8 Autocorrelation 91

    Background 91

    Autocorrelation 93

    Autocorrelation Periodogram 102

    Autocorrelation Reversals 110

    Key Points to Remember 113

    Chapter 9 Fourier Transforms 115

    Spectral Dilation 116

    Discrete Fourier Transform (DFT) 117

    Key Points to Remember 124

    Chapter 10 Comb Filter Spectral Estimates 125

    Spectral Dilation 125

    Computing a Comb Filter Spectral Estimate 126

    Key Points to Remember 133

    Chapter 11 Adaptive Filters 135

    Adaptive Relative Strength Index (RSI) 135

    Adaptive Stochastic Indicator 142

    Adaptive CCI (Commodity Channel Index) 147

    Adaptive Band-Pass Filter 152

    Adaptive Indicator Comparison 157

    Key Points to Remember 158

    Chapter 12 The Even Better Sinewave Indicator 159

    Even Better Sinewave Approach 160

    Even Better Sinewave Description 160

    Using the Even Better Sinewave Indicator 162

    Key Points to Remember 164

    Chapter 13 Convolution 165

    Theoretical Foundation 165

    Heat Map Display 168

    Computing Convolution 169

    Key Points to Remember 174

    Chapter 14 The Hilbert Transformer 175

    Analytic Signals 176

    Hilbert Transformer Mathematics 177

    Computing the Hilbert Transformer 181

    The Hilbert Transformer Indicator 183

    Using the Hilbert Transformer to

    Compute the Dominant Cycle 186

    Dual Differentiator 187

    Phase Accumulation 189

    Homodyne 192

    Key Points to Remember 194

    Chapter 15 Indicator Transforms 195

    Fisher Transform 195

    Inverse Fisher Transform 198

    Cube Transform 200

    Key Points to Remember 202

    Chapter 16 SwamiCharts 203

    SwamiCharts Overview 204

    SwamiCharts RSI 205

    SwamiCharts Stochastic 210

    Roll Your Own SwamiCharts 216

    Key Points to Remember 216

    Chapter 17 Swing-Trading Strategies 217

    Conventional Wisdom 219

    Anticipating the Turning Point 220

    Sine Wave Uniqueness 221

    Safety Valve 224

    Exiting a Trade 225

    Stop Loss 225

    Evaluating a Trading Strategy 226

    Monte Carlo Evaluation 227

    Stockspotter.com 228

    Key Points to Remember 229

    About the Website 231

    Index 233

Cycle Analytics for Traders Downloadable

Product form

£82.50

Includes FREE delivery

RRP £110.00 – you save £27.50 (25%)

Order before 4pm today for delivery by Wed 7 Jan 2026.

A Hardback by John F. Ehlers

15 in stock


    View other formats and editions of Cycle Analytics for Traders Downloadable by John F. Ehlers

    Publisher: John Wiley & Sons Inc
    Publication Date: 18/03/2014
    ISBN13: 9781118728512, 978-1118728512
    ISBN10: 1118728513

    Description

    Book 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
    • <

      Table of Contents

      Preface ix

      About the Author xiii

      Chapter 1 Unified Filter Theory 1

      Transfer Response 1

      Nonrecursive Filters 3

      Recursive Filters 8

      Generalized Filters 10

      Programming the Filters 11

      Wave Amplitude, Power, and Decibels (dB) 13

      Key Points to Remember 13

      Chapter 2 SMAs, EMAs, or Other? 15

      Simple Moving Averages (SMAs) 15

      Exponential Moving Averages (EMAs) 18

      Weighted Moving Averages (WMAs) 21

      Median Filter 22

      Key Points to Remember 23

      Chapter 3 Smoothing Filters on Steroids 25

      Nonrecursive Filters 25

      Modified Simple Moving Averages 29

      Modified Least-Squares Quadratics 30

      SuperSmoother 31

      SuperSmoother Filter Applications 34

      Key Points to Remember 36

      Chapter 4 Decyclers 39

      Decycler Construction 39

      Decycler Application 41

      Decycler Oscillator 43

      Key Points to Remember 45

      Chapter 5 Band-Pass Filters 47

      Band-Pass Filter 47

      Band-Pass Filter Q 51

      Automatic Gain Control (AGC) 54

      Spectral Dilation Removal 56

      Band-Pass Filter 56

      Measuring the Cycle Period 58

      Key Points to Remember 61

      Chapter 6 Market Structure and the Hurst Coefficient 63

      Fractal Dimension 65

      Computing the Hurst Coefficient 67

      The Hurst Coefficient in Action 68

      Drunkard’s Walk Hypothesis for Market Structure 70

      Key Points to Remember 74

      Chapter 7 Spectral Dilation 77

      Frequency Content of Indicator Outputs 77

      Roofing Filter as an Indicator 80

      Impact of Spectral Dilation on

      Conventional Indicators 83

      Key Points to Remember 88

      Chapter 8 Autocorrelation 91

      Background 91

      Autocorrelation 93

      Autocorrelation Periodogram 102

      Autocorrelation Reversals 110

      Key Points to Remember 113

      Chapter 9 Fourier Transforms 115

      Spectral Dilation 116

      Discrete Fourier Transform (DFT) 117

      Key Points to Remember 124

      Chapter 10 Comb Filter Spectral Estimates 125

      Spectral Dilation 125

      Computing a Comb Filter Spectral Estimate 126

      Key Points to Remember 133

      Chapter 11 Adaptive Filters 135

      Adaptive Relative Strength Index (RSI) 135

      Adaptive Stochastic Indicator 142

      Adaptive CCI (Commodity Channel Index) 147

      Adaptive Band-Pass Filter 152

      Adaptive Indicator Comparison 157

      Key Points to Remember 158

      Chapter 12 The Even Better Sinewave Indicator 159

      Even Better Sinewave Approach 160

      Even Better Sinewave Description 160

      Using the Even Better Sinewave Indicator 162

      Key Points to Remember 164

      Chapter 13 Convolution 165

      Theoretical Foundation 165

      Heat Map Display 168

      Computing Convolution 169

      Key Points to Remember 174

      Chapter 14 The Hilbert Transformer 175

      Analytic Signals 176

      Hilbert Transformer Mathematics 177

      Computing the Hilbert Transformer 181

      The Hilbert Transformer Indicator 183

      Using the Hilbert Transformer to

      Compute the Dominant Cycle 186

      Dual Differentiator 187

      Phase Accumulation 189

      Homodyne 192

      Key Points to Remember 194

      Chapter 15 Indicator Transforms 195

      Fisher Transform 195

      Inverse Fisher Transform 198

      Cube Transform 200

      Key Points to Remember 202

      Chapter 16 SwamiCharts 203

      SwamiCharts Overview 204

      SwamiCharts RSI 205

      SwamiCharts Stochastic 210

      Roll Your Own SwamiCharts 216

      Key Points to Remember 216

      Chapter 17 Swing-Trading Strategies 217

      Conventional Wisdom 219

      Anticipating the Turning Point 220

      Sine Wave Uniqueness 221

      Safety Valve 224

      Exiting a Trade 225

      Stop Loss 225

      Evaluating a Trading Strategy 226

      Monte Carlo Evaluation 227

      Stockspotter.com 228

      Key Points to Remember 229

      About the Website 231

      Index 233

    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account