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Technical Analysis And Financial Asset Forecasting: From Simple Tools To Advanced Techniques

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Technical Analysis And Financial Asset Forecasting: From Simple Tools To Advanced Techniques Wing-Keung Wong
Libristo kod: 05070852
Nakladnici World Scientific Publishing Co Pte Ltd, listopad 2014
Technical analysis is defined as the tracking and prediction of asset price movements using charts a... Cijeli opis
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Technical analysis is defined as the tracking and prediction of asset price movements using charts and graphs in combination with various mathematical and statistical methods. More precisely, it is the quantitative criteria used in predicting the relative strength of buying and selling forces within a market to determine what to buy, what to sell, and when to execute trades. This book introduces simple technical analysis tools like moving averages and Bollinger bands, and also advanced techniques such as wavelets and empirical mode decomposition. It first discusses some traditional tools in technical analysis, such as trend, trend Line, trend channel, Gann's Theory, moving averages, and Bollinger bands. It then introduces a recent indicator developed for stock market and two recent techniques used in the technical analysis field: wavelets and the empirical mode decomposition in financial time series. The book also discusses the theory to test the performance of the indicators and introduces the MATLAB Financial Toolbox, some of the functions/codes of which are used in our numerical experiments.

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Informacije o knjizi

Puni naziv Technical Analysis And Financial Asset Forecasting: From Simple Tools To Advanced Techniques
Autor Wing-Keung Wong, Spike Tsz Ho Lee, Raymond Hon-Fu Chan
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2014
Broj stranica 204
EAN 9789814436243
ISBN 9814436240
Libristo kod 05070852
Nakladnici World Scientific Publishing Co Pte Ltd
Težina 506
Dimenzije 166 x 240 x 20

Kategorija

Economics, Finance, Business & Management > Finance & accounting > Finance > Investment & securities
Mathematics & Science > Mathematics > Applied mathematics
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