The Predictive Edge : Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting

The Predictive Edge Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting

The Predictive Edge explores the transformative potential of artificial intelligence, specifically ChatGPT, in predicting stock market movements. Authored by a researcher with a background in finance and AI, the book provides a detailed account of how ChatGPT can analyze news headlines to forecast s...

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Bibliographic Details
Main Author: Lopez-Lira, Alejandro (-)
Format: eBook
Language:Inglés
Published: Newark : John Wiley & Sons, Incorporated 2024.
Edition:1st ed
Subjects:
Stock price forecasting.
Artificial intelligence.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009840466006719
Table of Contents:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Introduction
  • What You Will Learn
  • How This Book Is Structured
  • Part I: Fundamentals
  • Part II: ChatGPT and Stock Prediction
  • Part III: Envisioning a Financial Future with AI
  • Part I Fundamentals
  • Chapter 1 Understanding the Stock Market
  • Stock Market Fundamentals
  • How Stock Markets Contribute to Economies
  • Different Financial Markets
  • Investment Vehicles in the Stock Market
  • Stock Trading
  • What Are Stocks?
  • Market Participants
  • Buying and Selling Stocks
  • Classic Stock-Picking Strategies
  • Fundamental Analysis
  • News Trading and Sentiment Analysis
  • Portfolio Management and Trading Strategies
  • Basics of Portfolio Management
  • Common Investment Approaches
  • Portfolio Performance Metrics
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 2 Understanding Artificial Intelligence
  • What Is Artificial Intelligence?
  • Can Computers Be Intelligent?
  • The Hierarchical Levels of Artificial Intelligence
  • From Machine Learning to Deep Learning: The Rise of AI Models
  • The Symbolic Approach
  • Machine Learning: The Foundation
  • Deep Learning
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 3 Large Language Models: A Game Changer
  • What Is Natural Language Processing?
  • Critical Challenges in NLP
  • Core Techniques and Algorithms of NLP
  • NLP Applications
  • Generative AI: The Art of Digital Creation
  • The Multifaceted Outputs of Generative AI
  • Large Language Models
  • What Are LLMs?
  • The Benefits of Large Language Models: Unlocking the Power of Advanced AI
  • Problems with LLMs
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 4 Advanced Topics in LLMs
  • Architectures Powering LLMs
  • Self-Attention
  • Transformers
  • Improving LLMs.
  • The Power of Transfer Learning in Artificial Intelligence
  • Fine-Tuning LLMs
  • The Landscape of LLMs
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Part II ChatGPT and Stock Prediction
  • Chapter 5 What Is ChatGPT?
  • Capabilities
  • Engaging in Human-Like Conversations
  • Following Instructions
  • Running Code
  • Real-Time Web Browsing
  • Language Understanding
  • Context Awareness
  • Specialized Knowledge
  • Creativity and Flexibility
  • Real-Time Adaptability
  • Ethical and Safe Interactions
  • Multilingual Support
  • Fine-Tuning for Customization
  • Limitations
  • Lack of Deep Understanding
  • Short-Term Memory
  • Sensitivity to Input Phrasing
  • Ethical and Safety Concerns
  • Computational Costs
  • Data Privacy
  • Multilingual Limitations
  • Dependence on Training Data
  • Inability to Learn During Interaction
  • Hallucinations
  • What Is a Prompt?
  • Prompt Types
  • Prompt Engineering
  • The Prompt Engineering Canvas
  • ChatGPT in Business Applications
  • Some Ethical Considerations When Using ChatGPT
  • Data Privacy and Security
  • Bias and Fairness
  • Misinformation and Trust
  • Dependency and Over-reliance
  • Ethical Use in Content Creation
  • Emotional and Psychological Impacts
  • Accountability and Responsibility
  • Summary
  • Next Chapter Preview
  • Check Your Understanding Questions
  • Chapter 6 Can ChatGPT Forecast Stock Price Movements?
  • Understanding the Process
  • Where The Data Came From
  • How We Prepared The Data
  • Prompt
  • How We Tested Our Theory
  • What We Found
  • What We Learned
  • Financial Analysts
  • Investment Strategies
  • Labor Market
  • Retail Investors
  • Ethical and Regulatory Implications
  • Long-Term Implications
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 7 Implementing a ChatGPT Trading Strategy: A Step-by-Step Guide.
  • Recap of ChatGPT and News Sentiment
  • Basics of the Trading Strategy: Market-Neutral Approach and Its Benefits
  • Establishing an AI-Informed Trading Strategy
  • Setting Investment Goals Aligned with the Strategy
  • Tools and Resources Needed
  • Criteria for Selecting Stocks Based on News Sentiment Analysis
  • Adapting Strategy to Market Dynamics: Focus on Smaller, Less Liquid Stocks
  • Risk Management in Less Liquid Stocks
  • Rebalancing Horizon
  • Developing the Strategy
  • Position Sizing: Limiting Positions to a Percentage of the Portfolio
  • Variance Optimization
  • Backtesting the Strategy
  • Methods and Tools for Backtesting with Sentiment-Based Signals
  • Analyzing Backtest Results
  • Implementing the Strategy
  • Risk Management Practices in Line with the Strategy's Parameters
  • Setting Up Automated Trading Rules for Position Sizing and Market Neutrality
  • Monitoring and Adjusting
  • Ongoing Evaluation of Strategy Performance
  • Adjusting to Market Changes and News Sentiment Shifts
  • Real-Time Adjustments to Maintain Market Neutrality and Portfolio Limits
  • Ethical Considerations and Compliance
  • Understanding and Adhering to Regulatory Requirements
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 8 ChatGPT in Action: Practical Applications
  • Integration with Investment Strategies
  • Example: Combining Sentiment Analysis with a Quantitative Momentum Strategy
  • Risk Management: ChatGPT for Early Warnings and Mitigating Losses
  • Example: ChatGPT in Risk Management- Detecting and Responding to Market Shifts
  • Integrating ChatGPT in Automated Trading Systems
  • Trading Signals and Risk Management
  • Order Types and Timing
  • Reporting
  • Risks and Challenges
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Part III Envisioning a Financial Future with AI.
  • Chapter 9 The Future of AI in Financial Forecasting
  • Emerging AI Algorithms and Models
  • Automatic Trading Agents
  • Making Large Language Models Financial Experts
  • Integration with Blockchain and IoT
  • New Sources of Data
  • Personalization
  • AI Regulatory and Implementation Challenges
  • AI's Potential Effects on the Financial Industry
  • Development of Interactive AI Interfaces
  • Summary
  • Coming Up Next
  • Check Your Understanding Questions
  • Chapter 10 How AI Is Shaping Our Economic Future
  • What We Learned
  • Understanding the Stock Market
  • Understanding Artificial Intelligence
  • Large Language Models: A Game Changer
  • Advanced Topics in LLMs
  • What Is ChatGPT?
  • Can ChatGPT Forecast Stock Price Movements?
  • Implementing a ChatGPT Trading Strategy: A Step-by-Step Guide
  • ChatGPT in Action: Practical Applications
  • The Future of AI in Financial Forecasting
  • The Prospects of AI in Finance
  • Guidance for Staying Ahead
  • The Importance of Ethical AI
  • Final Thoughts
  • Invitation for Feedback and Community Engagement
  • Check Your Understanding Questions
  • Appendix: Check Your Understanding Answers
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • References
  • Acknowledgments
  • About the Author
  • Index
  • EULA.

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