Renuka Sharma – författare
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The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds.
The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis.
The book:
details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers.Audience
The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
3 071 kr
Läs direkt efter köp
The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds.
The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis.
The book:
details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers.Audience
The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
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Unlock the potential of decentralized finance (DeFi) and blockchain with this comprehensive guide that demystifies their transformative impact on industries, providing cutting-edge insights for professionals, academics, and innovators.
In the ever-evolving digital age, the intersection of blockchain technology and decentralized finance (DeFi) is revolutionizing the global financial landscape in ways previously unimagined. This book drills into the dynamic interplay between these innovations, exploring how they are fundamentally reshaping the financial future. By eliminating traditional intermediaries, DeFi harnesses the inherent strengths of blockchain to forge a financial ecosystem that is more accessible, cost-efficient, and inclusive. This paradigm shift not only renders financial services more affordable but also extends them to previously underserved populations, particularly in regions where access to conventional banking has long been limited. As a result, blockchain and DeFi are not just transforming how we engage with financial systems—they are democratizing access, ensuring that opportunities for economic empowerment are within reach for all.
The chapters highlight diverse applications and implications of blockchain and DeFi, including their role in green finance, healthcare interoperability, and the transformation of marketing strategies. The work also investigates the economic impact of cryptocurrencies and explores the potential of decentralized finance to disrupt traditional banking systems. This book is a must-read for academics, financial practitioners, technologists, and policymakers, offering a comprehensive understanding of the technological, economic, and social implications of blockchain and DeFi. It is an essential resource for anyone interested in the future of financial systems and their potential to foster global economic inclusion.
Readers will find the book: offers an in-depth understanding of DeFi and blockchain, unraveling their core principles and mechanisms; examines the challenges and opportunities of DeFi and blockchain adoption, offering strategies for sustained innovation; explores real-world applications, such as decentralized exchanges, smart contracts, tokenized assets, and yield farming, showcasing their transformative potential; and discusses the evolving legal and regulatory frameworks for DeFi, ensuring readers understand compliance and risk management.
Audience
Professionals in finance, technology, and blockchain industries, such as financial analysts, blockchain developers, fintech entrepreneurs, and business executives, as well as academic researchers, graduate students, and educators specializing in finance, blockchain, and decentralized technologies.
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