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

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    A Hardback by John F. Ehlers


      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

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