Quantum Finance

Dr. Raymond S. T. Lee has over 23 years of experience in IT consultancy, R&D in the field of quantum finance, AI, chaotic neural networks, intelligent fintech systems, and intelligent e-commerce systems. He has successfully patented and commercialized his invention – the Quantum Finance Forecast System in the business sectors in China and Hong Kong. Dr Lee attained his B.Sc. (Physics) from Hong Kong University in 1989, M.Sc.(IT) and PhD (Computer Science) from Hong Kong Polytechnic University in 1997 and 2000 respectively. After graduation from Hong Kong University, he joined the Hong Kong Government’s Observatory as a Meteorological Scientist where he specialized in weather forecasting and developing meteorological telecommunication information systems from 1989 to 1993.Prior to becoming an Associate Professor at BNU-HKBU United International College (UIC) in 2018, Dr Lee worked as a lecturer at the Department of Computing at Hong Kong PolytechnicUniversity. He was promoted to Assistant Professor in 2000 and Associate Professor in 2005 respectively. During this time, he published over 150 papers and six textbooks covering the fields at chaotic neural networks, AI-based fintech systems, intelligent agent technology, chaotic cryptosystems, ontological agents, neural oscillators, biometrics, weather simulation and forecasting systems. Dr Lee was invited to join Leanda Investment Group in China (2012-2017) as Group CTO/Chief Analyst to implement his Quantum Finance Forecast System on major commodities in China for over 2000 investors. In March 2017, he founded the Quantum Finance Forecast Centre QFFC (http://qffc.org), a non-profit making, AI-Fintech R&D and global financial forecast centre, which provides a free and open platform for traders and individual investors around the world.Upon the completion of the QFFC project, Dr Lee joined Beijing Normal University-Hong Kong Baptist University United International College (UIC) in China.

“This book is both a textbook and professional book tailored for undergraduate and master-degree students, researches and scientists working in the field of financial engineering and intelligent systems, professional traders independent investors, lectures and tutors who would like to teach students quantum finance. In my opinion, this is an excellent and fruitful book.” (Vassil Grozdanov, zbMATH 1444.91003, 2020)

• Part I – Quantum Finance Theory.- 1. Introduction to Quantum Finance.- 2. Quantum Field Theory for Quantum Finance.- 3. An Overview of Quantum Finance Models.- 4. Quantum Finance Theory.- 5. Quantum Price Levels – Basic Theory and Numerical Computational Technology.- 6. Quantum Trading and Hedging Strategy.- 7. AI Powerful Tools on Quantum Finance.- 8. Chaos and Fractals on Quantum Finance.- 9. Chaotic Neural Networks on Financial Prediction.- Part II – Quantum Finance Applications.- 10. Quantum Price Levels (QPL) for Worldwide Financial Products.- 11. QTime Series Chaotic Neural Oscillatory Networks (TSCNON) for Financial Prediction.- 12. Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction.- 13. Quantum Trader – A Multiagent-based Quantum Financial Forecast and Intel-ligent Trading System.- 14. Future Trend in Quantum Finance.