LEADER 06244nam 22006851 450 001 9910138851703321 005 20230803022404.0 010 $a1-118-72860-2 010 $a1-118-72861-0 010 $a1-118-72841-6 035 $a(CKB)2550000001151759 035 $a(EBL)1507245 035 $a(OCoLC)862049783 035 $a(SSID)ssj0001040358 035 $a(PQKBManifestationID)11584447 035 $a(PQKBTitleCode)TC0001040358 035 $a(PQKBWorkID)10992262 035 $a(PQKB)10186130 035 $a(OCoLC)857234465 035 $a(MiAaPQ)EBC1507245 035 $a(DLC) 2013035006 035 $a(Au-PeEL)EBL1507245 035 $a(CaPaEBR)ebr10795311 035 $a(CaONFJC)MIL540321 035 $a(EXLCZ)992550000001151759 100 $a20130826h20132013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCycle analytics for traders $eadvanced technical trading concepts /$fJohn F. Ehlers 210 1$aHoboken, New Jersey :$cJohn Wiley and Sons, Inc.,$d[2013] 210 4$dİ2013 215 $a1 online resource (252 p.) 225 0 $aWiley trading series 300 $aIncludes index. 311 $a1-118-72851-3 327 $aCycle Analytics for Traders; Contents; Preface; About the Author; 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; Notes; Chapter 2 SMAs, EMAs, or Other?; Simple Moving Averages (SMAs); Exponential Moving Averages (EMAs); Weighted Moving Averages (WMAs); Median Filter; Key Points to Remember; Chapter 3 Smoothing Filters on Steroids; Nonrecursive Filters; Modified Simple Moving Averages; Modified Least-Squares Quadratics; SuperSmoother 327 $aSuperSmoother Filter ApplicationsKey Points to Remember; Notes; Chapter 4 Decyclers; Decycler Construction; Decycler Application; Decycler Oscillator; Key Points to Remember; Chapter 5 Band-Pass Filters; Band-Pass Filter; Band-Pass Filter Q; Automatic Gain Control (AGC); Spectral Dilation Removal; Band-Pass 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; Note 327 $aChapter 7 Spectral DilationFrequency Content of Indicator Outputs; 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; Note; 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 327 $aAdaptive Relative Strength Index (RSI)Adaptive Stochastic Indicator; Adaptive CCI (Commodity Channel Index); Adaptive Band-Pass Filter; Adaptive Indicator Comparison; Key Points to Remember; Notes; 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; Notes; Chapter 13 Convolution; Theoretical Foundation; Heat Map Display; Computing Convolution; Key Points to Remember; Notes; Chapter 14 The Hilbert Transformer; Analytic Signals; Hilbert Transformer Mathematics 327 $aComputing the Hilbert TransformerThe Hilbert Transformer Indicator; Using the Hilbert Transformer to Computethe 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 Swami Charts; 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 327 $aExiting a Trade 330 $a"This is a technical resource book written for self-directed traders who want to understand the scientific underpinnings of the filters and indicators they use in their trading decisions. There is plenty of theory and years of research behind the unique solutions provided in this book, but the emphasis is on simplicity rather than mathematical purity. In particular, the solutions use a pragmatic approach to attain effective trading results. Cycle Analytics for Traders will allow traders to think of their indicators and trading strategies in the frequency domain as well as their motions in the time domain. This new viewpoint will enable them to select the most efficient filter lengths for the job at hand.This book will: Show an awareness of Spectral Dilation, and how to eliminate it or to use it to your advantage. Discuss how to use Automatic Gain Control (AGC) to normalize indicator amplitude swings. Explain thinking of prices in the frequency domain as well as in the time domain. Create an awareness that all indicators are statistical rather than absolute, as implied by their single line displays. Shed light on several advanced cookbook filters. These include the SuperSmoother and Roofing Filters. Showcase new advanced indicators like the Even Better Sinewave and Decycler Indicators. Explain how to use transforms to improve the display and interpretation of indicators. "--$cProvided by publisher. 410 0$aWiley Trading 606 $aInvestment analysis 606 $aTechnical analysis (Investment analysis) 615 0$aInvestment analysis. 615 0$aTechnical analysis (Investment analysis) 676 $a332.63/2042 686 $aBUS027000$2bisacsh 700 $aEhlers$b John F.$f1933-$0746068 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910138851703321 996 $aCycle analytics for traders$92045559 997 $aUNINA LEADER 01419nam 2200421 450 001 9910736998303321 005 20200806104949.0 010 $a0-444-64236-6 010 $a0-444-64235-8 035 $a(CKB)4100000004906698 035 $a(MiAaPQ)EBC5439379 035 $a(PPN)233903771 035 $a(EXLCZ)994100000004906698 100 $a20180721d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$a28th European Symposium on Computer Aided Process Engineering$hPart A /$fedited by Anton Friedl [and four others] 210 1$aAmsterdam :$cElsevier,$d[2018] 210 4$dİ2018 215 $a1 online resource (1,766 pages) $cillustrations 225 1 $aComputer-aided chemical engineering ;$v43 410 0$aComputer-aided chemical engineering ;$v43.$x1570-7946 606 $aChemical process control$xData processing$vCongresses 606 $aComputer integrated manufacturing systems$vCongresses 615 0$aChemical process control$xData processing 615 0$aComputer integrated manufacturing systems 676 $a660.2815 702 $aFriedl$b Anton 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736998303321 996 $a28th European Symposium on Computer Aided Process Engineering$93427825 997 $aUNINA