Titlebook: Quantum Finance; Intelligent Forecast Raymond S. T. Lee Textbook 2020 Springer Nature Singapore Pte Ltd. 2020 Quantum Finance.Quantum Price

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Quantum Trading and Hedging Strategyancial trading and hedging strategies, with an overview of latest R&D on AI-based trading and hedging counterparts. Second, it introduces seven major classical trading and hedging strategies inclusive of the author’s collection of over 20 years of experience in financial analysis and trading in vari

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AI Powerful Tools in Quantum Financeime series prediction, fuzzy logics (FLs) on fuzzy and inexact financial modeling and genetic algorithms (GAs) on trading strategy optimization. More importantly, it shows how these AI tools are integrated with quantum finance technology to implement quantum finance forecast and intelligent agent-ba

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Chaotic Neural Networks in Quantum Finance the multiverse in quantum theory, chaos in brain to our sensory of oscillations. Next, it reviews chaotic neural oscillators, neuroscience motivation, Wang-oscillators, and the author’s latest research on Lee-oscillators; its neural dynamics and applications. After that, it studies quantum finance

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Quantum Price Levels for Worldwide Financial Products and beliefs of quantized market price levels—the support and resistance (S&R) levels, and how they are related to our understanding of quantum price levels (QPLs) in quantum finance. Then, it introduces MetaTrader (MT) system and MQL (MetaQuotes Language)—the real-time worldwide financial program t

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Time Series Chaotic Neural Oscillatory Networks for Financial Prediction) due to its highly chaotic and unpredictable nature. With the blooming of cryptocurrency trading which provides 24 × 7 online currency trading, the financial markets, especially the worldwide currency markets are more chaotic and fluctuating than before. An effective and reliable financial predicti

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Quantum Trader—A Multiagent-Based Quantum Financial Forecast and Trading Systemiction and intelligent trading. Quantum trader effectively integrates quantum field signals (QFS) and quantum field oscillators (OFS) studied in Part I for neural network training and prediction into: (1) quantum forecaster—chaotic FFBP-based time-series supervised-learning agent for worldwide finan

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Future Trends in Quantum Financethat has both hard AI and soft AI. Each of them focuses on different aspects and applications, but after over half a century; the boundary between them becomes obscure. In this chapter, it studies two disciplines of quantum computing and how they interact to shape the new age of intelligent computin

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Introduction to Quantum Financethe last section, it introduces a quantum finance four-tier concentric sphere model, and the central framework integrates quantum finance system core model with modern artificial intelligence technology as the neural network, AI-fintech, and application tiers which constitute Part I of this book—quantum finance theory.