About the book
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.
Editions of Deep Learning Tools for Predicting Stock Market Movements
- Hardcover
- ISBN 9781394214303
- EBook
- ISBN 9781394214327
- EBook
- ISBN 9781394214334
- EBook
- ISBN 9781394214310
Read an Excerpt
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.
Frequently Asked Questions
What is Deep Learning Tools for Predicting Stock Market Movements about?
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.
What core themes, tropes, or subjects are explored in Deep Learning Tools for Predicting Stock Market Movements?
Computing and Information Technology > Computer science > Artificial intelligence (AI)
Where can I read a sample of Deep Learning Tools for Predicting Stock Market Movements?
You can read an official preview of the few pages here https://www.book2look.com/book/9781394214303
Who is/are the Author/s of the book Deep Learning Tools for Predicting Stock Market Movements?
John Wiley & Sons
Who is the Publisher of the book Deep Learning Tools for Predicting Stock Market Movements?
Wiley
What are the ISBN numbers for the physical and digital editions?
Deep Learning Tools for Predicting Stock Market Movements is available as hardcover(ISBN 9781394214303) and ebook(ISBN 9781394214327) and ebook(ISBN 9781394214334) and ebook(ISBN 9781394214310)
Where can I buy Deep Learning Tools for Predicting Stock Market Movements online or support local independent bookshops?
You can buy Deep Learning Tools for Predicting Stock Market Movements from below
Where can I buy Deep Learning Tools for Predicting Stock Market Movements?