Trading Tactics in the Financial Market, 1st ed. 2021
Mathematical Methods to Improve Performance
Management for Professionals Series

Financial markets are not predictable, let alone controllable.  The one thing traders and investors can control is their trading tactics, where some can have higher probability of profitability than others.  This book explains, by using phase analysis, why some of the indicators, and trading tactics would work better than others, and why some indicators and trading tactics would perform poorly.  Emphasis is placed on Awesome Oscillator and Accelerator Oscillator, which are based on Simple Moving Average, a popular tool employed by traders. They are then compared to Moving Average Convergence-Divergence (MACD) and MACD Histogram (MACDH), which are based on exponential moving averages. By varying the parameters of MACD and MACDH, one can change the phase or time delay, and possibly make a larger profit.

This book is for practitioners, and includes all MATLAB programs used in the book.

Don K. Mak was a research scientist for the Canada Federal Government, and an Adjunct Professor at Queen's University (Canada).  He has published over fifty papers in condensed matter physics, materials evaluation, and medical diagnosis. His book, Science of Financial Market Trading, has been adopted as a textbook and reference by universities worldwide. The book, Solving Everyday Problems with the Scientific Method, of which he is the lead author, has been used by universities and colleges as references in several countries, and has been translated into Korean, Chinese and Arabic.

Explains Simple Moving Average (SMA) and Exponential Moving Average (EMA): their uses and limitations

Divides the frequency spectrum of trading tactics into Profit Zone and Loss Zone

Performs Fourier analysis on real market data and applies various trading tactics to gauge their profitability