Author: N.B. Singh
Publisher: N.B. Singh
ISBN:
Category : Business & Economics
Languages : en
Pages : 364
Book Description
Explore the transformative potential of quantum computing in stock market analysis with 'Stock Marketing: Quantum Computing Methods'. This book provides a comprehensive overview of how quantum technologies are reshaping financial strategies, offering practical insights and future implications for investors and technologists alike.
Stock Marketing: Quantum Computing Methods
Author: N.B. Singh
Publisher: N.B. Singh
ISBN:
Category : Business & Economics
Languages : en
Pages : 364
Book Description
Explore the transformative potential of quantum computing in stock market analysis with 'Stock Marketing: Quantum Computing Methods'. This book provides a comprehensive overview of how quantum technologies are reshaping financial strategies, offering practical insights and future implications for investors and technologists alike.
Publisher: N.B. Singh
ISBN:
Category : Business & Economics
Languages : en
Pages : 364
Book Description
Explore the transformative potential of quantum computing in stock market analysis with 'Stock Marketing: Quantum Computing Methods'. This book provides a comprehensive overview of how quantum technologies are reshaping financial strategies, offering practical insights and future implications for investors and technologists alike.
Quantum Trading
Author: Fabio Oreste
Publisher: John Wiley & Sons
ISBN: 0470435127
Category : Business & Economics
Languages : en
Pages : 246
Book Description
A cutting-edge guide to quantum trading Original and thought-provoking, Quantum Trading presents a compelling new way to look at technical analysis and will help you use the proven principles of modern physics to forecast financial markets. In it, author Fabio Oreste shows how both the theory of relativity and quantum physics is required to makes sense of price behavior and forecast intermediate and long-term tops and bottoms. He relates his work to that of legendary trader W.D. Gann and reveals how Gann's somewhat esoteric theories are consistent with his applications of Einstein's theory of relativity and quantum theory to price behavior. Applies concepts from modern science to financial market forecasting Shows how to generate support/resistance areas and identify potential market turning points Addresses how non-linear approaches to trading can be used to both understand and forecast market prices While no trading approach is perfect, the techniques found within these pages have enabled the author to achieve a very attractive annual return since 2002. See what his insights can do for you.
Publisher: John Wiley & Sons
ISBN: 0470435127
Category : Business & Economics
Languages : en
Pages : 246
Book Description
A cutting-edge guide to quantum trading Original and thought-provoking, Quantum Trading presents a compelling new way to look at technical analysis and will help you use the proven principles of modern physics to forecast financial markets. In it, author Fabio Oreste shows how both the theory of relativity and quantum physics is required to makes sense of price behavior and forecast intermediate and long-term tops and bottoms. He relates his work to that of legendary trader W.D. Gann and reveals how Gann's somewhat esoteric theories are consistent with his applications of Einstein's theory of relativity and quantum theory to price behavior. Applies concepts from modern science to financial market forecasting Shows how to generate support/resistance areas and identify potential market turning points Addresses how non-linear approaches to trading can be used to both understand and forecast market prices While no trading approach is perfect, the techniques found within these pages have enabled the author to achieve a very attractive annual return since 2002. See what his insights can do for you.
Quantum Computing
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030947969X
Category : Computers
Languages : en
Pages : 273
Book Description
Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.
Publisher: National Academies Press
ISBN: 030947969X
Category : Computers
Languages : en
Pages : 273
Book Description
Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.
Geometry and Topology of the Stock Market
Author: Ovidiu Racorean
Publisher: CreateSpace
ISBN: 9781494456634
Category :
Languages : en
Pages : 118
Book Description
In The News: Business Insider - "Hedge fund researcher is working on a higher dimensional geometric model of the stock market" International Business Times - "How do you picture the stock market: a bunch of guys yelling at computer screens on Wall Street? A long list of figures in the paper? Or, perhaps, an ever-shifting, higher dimensional jewel? The latter vision is that of Ovidiu Racorean... " The large public is, for the first time, invited to take a closer look through the "keyhole" of a hedge fund "next generation research laboratory" door. The image reader will discover is astonishing; no exaggeration. From simple to complex, the book presents familiar financial concepts like stocks, market index (Dow Jones Industrial Average), algorithmic trading, to name just a few, in a manner that have never been experienced before. The reader is taken to a journey throughout a financial mathematics world that it seems detached from the 22nd century science. Part of a so called "underground quant researchers group," the author disclose throughout the pages of the book a picture of how quantum computer generation of quants will impact the financial markets in the near future, giving the reader a hint of how far research goes in mathematical finance. ARE WE PREPARED FOR THE QUANTUM COMPUTER TRADING AND INVESTING?
Publisher: CreateSpace
ISBN: 9781494456634
Category :
Languages : en
Pages : 118
Book Description
In The News: Business Insider - "Hedge fund researcher is working on a higher dimensional geometric model of the stock market" International Business Times - "How do you picture the stock market: a bunch of guys yelling at computer screens on Wall Street? A long list of figures in the paper? Or, perhaps, an ever-shifting, higher dimensional jewel? The latter vision is that of Ovidiu Racorean... " The large public is, for the first time, invited to take a closer look through the "keyhole" of a hedge fund "next generation research laboratory" door. The image reader will discover is astonishing; no exaggeration. From simple to complex, the book presents familiar financial concepts like stocks, market index (Dow Jones Industrial Average), algorithmic trading, to name just a few, in a manner that have never been experienced before. The reader is taken to a journey throughout a financial mathematics world that it seems detached from the 22nd century science. Part of a so called "underground quant researchers group," the author disclose throughout the pages of the book a picture of how quantum computer generation of quants will impact the financial markets in the near future, giving the reader a hint of how far research goes in mathematical finance. ARE WE PREPARED FOR THE QUANTUM COMPUTER TRADING AND INVESTING?
Deep Learning Tools for Predicting Stock Market Movements
Author: Renuka Sharma
Publisher: John Wiley & Sons
ISBN: 1394214316
Category : Computers
Languages : en
Pages : 358
Book Description
DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS 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.
Publisher: John Wiley & Sons
ISBN: 1394214316
Category : Computers
Languages : en
Pages : 358
Book Description
DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS 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.
Applications of Quantum Computers in Financial Markets
Author: Pooyan Ghamari
Publisher: Pooyan Ghamari
ISBN:
Category : Computers
Languages : en
Pages : 33
Book Description
The ebook "Applications of Quantum Computers in Financial Markets" by Pooyan Ghamari is a comprehensive guide to the potential applications of quantum computing in the finance industry. The book is organized into nine sections that cover topics such as understanding quantum computing, quantum computing in finance, portfolio optimization, risk management, asset pricing, quantum key distribution, quantum machine learning, challenges and limitations, and regulatory and ethical considerations. In the introduction, the author provides a brief overview of the current state of financial markets and the potential benefits of quantum computing. The first section provides an introduction to quantum mechanics and its relevance to computing, explaining quantum bits (qubits) and quantum gates. The second section explores how quantum computing can be used in financial markets. It provides an overview of the different types of financial applications such as portfolio optimization, risk management, and asset pricing. The following three sections delve into each of these applications in detail. Section three explains portfolio optimization and how quantum computing can be used for it. Section four explains risk management and how quantum computing can be used for it. Section five explains asset pricing and how quantum computing can be used for it. Section six covers quantum key distribution, which is a secure communication method that uses quantum cryptography to ensure data privacy and security in financial transactions. Section seven covers quantum machine learning, which is a subset of machine learning that leverages quantum computing to speed up the training process and enhance the accuracy of machine learning algorithms in finance. Section eight covers the current limitations of quantum computing technology, the challenges of implementing quantum computing in financial markets, and the potential risks associated with it. Section nine covers the regulatory landscape for quantum computing in finance and the ethical considerations associated with its use. The conclusion summarizes the potential benefits and challenges of using quantum computing in finance and discusses future directions for research and development in this area. The references section provides a list of sources used in the ebook, including academic papers, industry reports, and news articles.
Publisher: Pooyan Ghamari
ISBN:
Category : Computers
Languages : en
Pages : 33
Book Description
The ebook "Applications of Quantum Computers in Financial Markets" by Pooyan Ghamari is a comprehensive guide to the potential applications of quantum computing in the finance industry. The book is organized into nine sections that cover topics such as understanding quantum computing, quantum computing in finance, portfolio optimization, risk management, asset pricing, quantum key distribution, quantum machine learning, challenges and limitations, and regulatory and ethical considerations. In the introduction, the author provides a brief overview of the current state of financial markets and the potential benefits of quantum computing. The first section provides an introduction to quantum mechanics and its relevance to computing, explaining quantum bits (qubits) and quantum gates. The second section explores how quantum computing can be used in financial markets. It provides an overview of the different types of financial applications such as portfolio optimization, risk management, and asset pricing. The following three sections delve into each of these applications in detail. Section three explains portfolio optimization and how quantum computing can be used for it. Section four explains risk management and how quantum computing can be used for it. Section five explains asset pricing and how quantum computing can be used for it. Section six covers quantum key distribution, which is a secure communication method that uses quantum cryptography to ensure data privacy and security in financial transactions. Section seven covers quantum machine learning, which is a subset of machine learning that leverages quantum computing to speed up the training process and enhance the accuracy of machine learning algorithms in finance. Section eight covers the current limitations of quantum computing technology, the challenges of implementing quantum computing in financial markets, and the potential risks associated with it. Section nine covers the regulatory landscape for quantum computing in finance and the ethical considerations associated with its use. The conclusion summarizes the potential benefits and challenges of using quantum computing in finance and discusses future directions for research and development in this area. The references section provides a list of sources used in the ebook, including academic papers, industry reports, and news articles.
Quantum Computing and Artificial Intelligence
Author: Pethuru Raj
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110791404
Category : Computers
Languages : en
Pages : 308
Book Description
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110791404
Category : Computers
Languages : en
Pages : 308
Book Description
Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability
Author: Geada, Nuno
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 307
Book Description
In the aftermath of the profound fiscal crisis of 2008, the very foundation of the global financial system came under intense scrutiny. The ensuing crash laid bare systemic vulnerabilities and underscored the urgent need for alternative solutions capable of fostering a more transparent and resilient model. This period of economic turbulence exposed critical flaws in the existing global financial infrastructure, prompting a search for innovations that could instill accountability, security, and transparency. It is against this backdrop of financial upheaval that Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability explores the solutions poised to redefine the dynamics of the stock market. Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability strategically addresses the objectives crucial for navigating the complexities of the contemporary business landscape. The focus extends beyond survival to thriving, emphasizing the persistence of big-picture perspectives, adaptability to new productivity approaches, and the importance of clear and consistent communication. These objectives also encompass facilitating avenues for employee feedback, fostering continuous improvement, and constructing business continuity plans with inherent elasticity. By offering both a theoretical and practical foundation, the book aims to be an indispensable resource for organizations, managers, and scholars navigating the potential of blockchain technology in the context of the global stock market.
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 307
Book Description
In the aftermath of the profound fiscal crisis of 2008, the very foundation of the global financial system came under intense scrutiny. The ensuing crash laid bare systemic vulnerabilities and underscored the urgent need for alternative solutions capable of fostering a more transparent and resilient model. This period of economic turbulence exposed critical flaws in the existing global financial infrastructure, prompting a search for innovations that could instill accountability, security, and transparency. It is against this backdrop of financial upheaval that Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability explores the solutions poised to redefine the dynamics of the stock market. Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability strategically addresses the objectives crucial for navigating the complexities of the contemporary business landscape. The focus extends beyond survival to thriving, emphasizing the persistence of big-picture perspectives, adaptability to new productivity approaches, and the importance of clear and consistent communication. These objectives also encompass facilitating avenues for employee feedback, fostering continuous improvement, and constructing business continuity plans with inherent elasticity. By offering both a theoretical and practical foundation, the book aims to be an indispensable resource for organizations, managers, and scholars navigating the potential of blockchain technology in the context of the global stock market.
Graph Theory: Adiabatic Quantum Computing Methods
Author: N.B. Singh
Publisher: N.B. Singh
ISBN:
Category : Computers
Languages : en
Pages : 330
Book Description
"Graph Theory: Adiabatic Quantum Computing Methods" explores the convergence of quantum computing and graph theory, offering a comprehensive examination of how quantum algorithms can tackle fundamental graph problems. From foundational concepts to advanced applications in fields like cryptography, machine learning, and network analysis, this book provides a clear pathway into the evolving landscape of quantum-enhanced graph algorithms. Designed for researchers, students, and professionals alike, it bridges theoretical insights with practical implementations, paving the way for innovative solutions in computational graph theory.
Publisher: N.B. Singh
ISBN:
Category : Computers
Languages : en
Pages : 330
Book Description
"Graph Theory: Adiabatic Quantum Computing Methods" explores the convergence of quantum computing and graph theory, offering a comprehensive examination of how quantum algorithms can tackle fundamental graph problems. From foundational concepts to advanced applications in fields like cryptography, machine learning, and network analysis, this book provides a clear pathway into the evolving landscape of quantum-enhanced graph algorithms. Designed for researchers, students, and professionals alike, it bridges theoretical insights with practical implementations, paving the way for innovative solutions in computational graph theory.
Artificial Intelligence and Security
Author: Xingming Sun
Publisher: Springer Nature
ISBN: 3031067886
Category : Computers
Languages : en
Pages : 701
Book Description
This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 166 papers included in the 3 volumes were carefully reviewed and selected from 1124 submissions. The papers present research, development, and applications in the fields of artificial intelligence and information security
Publisher: Springer Nature
ISBN: 3031067886
Category : Computers
Languages : en
Pages : 701
Book Description
This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 166 papers included in the 3 volumes were carefully reviewed and selected from 1124 submissions. The papers present research, development, and applications in the fields of artificial intelligence and information security