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010   $a9786611947897
010   $a981-279-687-8
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100   $a20030630d2003      uy             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe science of financial market trading$b[electronic resource] /$fDon K. Mak
210   $aSingapore ;$aRiver Edge, NJ $cWorld Scientific$dc2003
215   $a1 online resource (261 p.)
300   $aDescription based upon print version of record.
311   $a981-238-252-6 
320   $aIncludes bibliographical references (p. 235-239) and index.
327   $aContents; Preface; 1. Introduction; 1.1 Fundamental Analysis; 1.2 Technical Analysis; 1.2.1 Pattern Recognition; 1.2.2 Indicators; 1.3 Hybrids; 2. Is the Market Random ?; 3. Models of the Financial Markets ; 3.1 Chaos; 3.2 Complexity; 3.3 Wave Model
327   $a3.4 Time Series Analysis  3.5 Neural Network; 3.6 Fractal Geometry; 3.7 Fuzzy Logic; 3.8 Wavelet Analysis; 4. Signals and Indicators; 4.1 Stochastic Indicator; 4.2 Momentum Indicator; 5. Trending Indicators; 5.1 Simple Moving Average (SMA)
327   $a5.2 Exponential Moving Average (EMA) 5.3 Adaptive Moving Average (AMA); 5.4 Trading Rules using Moving Averages; 6. Oscillator Indicators; 6.1 Parabolic Velocity Indicator; 6.2 Parabolic Acceleration Indicator; 6.3 Cubic Velocity and Acceleration Indicators                                                     ; 6.4 Divergences
327   $a6.4.1 Class A Divergence  6.4.2 Class B Divergence; 6.4.3 Class C Divergence; 6.5 Head and Shoulders; 7. Vertex Indicators; 7.1 Parabolic Vertex Indicator ; 7.2 Cubic Vertex Indicator; 8. Various Time frames; 8.1 Under-sampling; 8.2 Frequency Characteristics of an Indicator
327   $a9. Wavelet Analysis  9.1 High Wavelet Indicator; 9.2 Middle Wavelet Indicator ; 9.3 Low Wavelet Indicator; 10. Other New Techniques; 10.1 Skipped Convolution; 10.2 Forecasts; 11. Trading Systems; 12. Financial Markets are Complex; Appendix 1 Time Series Analysis
327   $aA1.1 Autoregressive Moving Average Model
330   $aIn this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors - if that particular market can be forecasted at all.  The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled - phenomenologically and from first principle - is explained.  It discusses indicat
606   $aInvestments$xMathematics
606   $aCapital market$xForecasting
608   $aElectronic books.
615  0$aInvestments$xMathematics.
615  0$aCapital market$xForecasting.
676   $a332.640151
700   $aMak$b Don K$0614168
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910454088303321
996   $aScience of financial market trading$91543196
997   $aUNINA