Quantum Finance

Forecast Systems with Ai, Reinforcement Learning, and Multi-Agent Models
2. 2. 2027 Auflage 2027
ISBN: 978-981-9268-06-1
Verlag: Springer Nature Singapore

Buch, Englisch, Format (B × H): 155 mm x 235 mm

With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems.

The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoingR&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems.

This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.

Zielgruppe

Graduate

Autoren/Hrsg.

Lee, Raymond S. T.

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Naturwissenschaften Physik Quantenphysik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- Chapter 1: Introduction to Quantum Finance.- Chapter 2: Foundations of Quantum Finance.- Chapter 3: Quantum Finance Models and Price Levels.- Chapter 4: Quantum Trading and Hedging Strategies.- Chapter 5: AI and Chaotic Dynamics in Quantum Finance.- Chapter 6: Quantum Finance Forecast System Architecture.- Chapter 7: Case Studies in Intelligent Trading.- Chapter 8: Chaotic Bi-LSTM and Attention Mechanisms.- Chapter 9: Deep Reinforcement Learning for Portfolio Management.- Chapter 10: Multi-Agent Models with Sentiment Analysis.- Chapter 11: Emerging Trends in AI-Driven Quantum Finance.- Chapter 12: Ethical, Regulatory, and Practical Considerations.

Über Autor(innen)

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 Beijing Normal-Hong Kong Baptist University (BNBU) in 2018, Dr Lee worked as a lecturer at the Department of Computing at Hong Kong Polytechnic University. 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, 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 fully automated quantum finance forecast system, he joined Beijing Normal-Hong Kong Baptist University (BNBU) in China as associate professor in 2018 to further his R&D works on quantum finance and to contribute his knowledge on quantum finance, AI-Fintech, chaotic neural networks and related intelligent forecast systems to the fellow students and the community in China.