AI for Investing: Alternative Assets

 

Book Summary

AI for Investing: Alternative Assets by Leo Vidal, JD, MBA, CPA, is a groundbreaking guide that shows how artificial intelligence is opening new doors in asset classes beyond stocks and bonds. From private equity and hedge funds to real estate, art, collectibles, and even cryptocurrency, this book explains how AI tools can analyze complex markets, forecast price movements, and uncover hidden opportunities.

For decades, access to alternative assets was limited to institutional investors and high-net-worth individuals. Today, AI-powered platforms are democratizing access, giving retail investors the insights and tools they need to diversify portfolios and maximize returns.

This book breaks down how AI is transforming the entire alternative investment landscape—offering readers practical strategies, case studies, and step-by-step methods to make smarter decisions in these less traditional but potentially more profitable markets. Whether you’re a seasoned investor or just beginning to explore alternatives, this book is your essential roadmap to thriving in the AI-driven financial future.

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Book Contents (TOC)

Introduction

• Why Alternative Assets Matter in Today’s Market

• The Rise of AI in Non-Traditional Investing

• Who This Book Is For and How to Use It

Chapter 1: Understanding Alternative Assets

• What Are Alternative Investments?

• Benefits and Risks Compared to Traditional Assets

• The Expanding Landscape of Alternatives

Chapter 2: AI and Private Equity

• Deal Sourcing with AI Algorithms

• Predictive Analytics for Valuation

• Risk Assessment and Due Diligence Automation

Chapter 3: AI in Hedge Funds and Managed Strategies

• Machine Learning for Arbitrage and Market Neutral Strategies

• Sentiment Analysis in Hedge Fund Decision-Making

• Case Studies of AI-Driven Hedge Funds

Chapter 4: AI and Real Estate Alternatives

• AI in Commercial Real Estate Analysis

• Short-Term Rental Forecasting with Machine Learning

• Platforms Democratizing Real Estate Investing

Chapter 5: Commodities, Art, and Collectibles

• AI in Gold, Oil, and Agricultural Futures

• Pricing Rare Art and Collectibles with AI Vision Models

• Blockchain, NFTs, and AI Valuation Models

Chapter 6: AI and Venture Capital Investing

• Startup Screening with AI Tools

• Forecasting Market Adoption and Scaling

• Identifying Unicorns Before They Break Out

Chapter 7: Crypto and Digital Alternatives

• AI for Crypto Trading Bots and Risk Controls

• Predicting Token Valuation with Big Data

• AI in Blockchain Security and Fraud Prevention

Chapter 8: Building a Diversified AI-Powered Portfolio

• Portfolio Allocation Across Alternatives

• Risk Balancing and Hedging with AI Insights

• Long-Term Strategies for Growth and Wealth Preservation

Conclusion

• The Future of Alternative Assets with AI

• How Retail Investors Can Compete with Institutions

• Final Steps to Take Action