This Palgrave Pivot innovatively combines new methods and approaches to building dynamic trading systems to forecast future price direction in todays increasingly difficult and volatile financial markets. The primary purpose of this book is to provide a structured course for building robust algorithmic trading models that forecast future price direction.

Chan provides insider information and insights on trading strategies; her knowledge and experience has been gained over two decades as a trader in foreign exchange, stock and derivatives markets. She guides the reader to build, evaluate, and test the predictive ability and the profitability of abnormal returns of new hybrid forecasting models.

Jacinta Chan, PhD in Financial Statistics, is with the Faculty of Business and Accountancy at the University of Malaya, Malaysia. She shares her knowledge and skills gained over two decades as a forex dealer, equity research analyst, product development officer of the futures exchange and senior Vice President of the sales and dealing derivatives desk of a financial institution with her students in universities and trading courses all over the world.

1. Introduction to Model Trading.- Chapter.- 2. Technical Indicators: Market Technicians Trading Tools.- 3. Market  Data  Analysis.- 4. Development of Technical Algorithm Trading Systems.- 5. Development of Artificial Intelligent Algorithm Trading Systems.- 6. Test Results of the Profitability of New Trading Model.- 7. Evaluation and Stops. 8. Conclusion: End of Course and Beginning of Trading.