A Textbook of Stock Market Foundations, Analysis with Using of AI

About this Book

A Text Book of Stock Market Foundations, Analysis With Using of AI provides a comprehensive introduction to stock market principles, investment analysis, and modern artificial intelligence applications in financial forecasting. The book systematically covers stock market fundamentals, financial instruments, market analysis techniques, machine learning algorithms, deep learning architectures, hybrid AI models, and practical applications of predictive analytics in stock market decision-making. Designed for undergraduate and postgraduate students, researchers, educators, and finance professionals, the book combines theoretical foundations with practical insights into AI-driven financial systems. Through detailed explanations, mathematical formulations, comparative analyses, case studies, figures, tables, and implementation examples, readers gain a strong understanding of how modern AI technologies are transforming investment research, portfolio management, risk assessment, and stock market prediction. The textbook serves as a bridge between traditional financial analysis and emerging intelligent systems, making it suitable for courses in finance, data science, artificial intelligence, machine learning, financial engineering, and FinTech.

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