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

Focusing on technical analysis as a tool for identifying stock price trends, this slim undergraduate textbook introduces trend lines and trend channels for reading chart patterns, linear filters, momentum indicators, wavelets, empirical mode decomposition, Gann’s theory, and Bollinger Bands. Example charts apply the techniques to the Hang Seng Index and individual Chinese stocks over the last seven years. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

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.