The AI Investor: How to Use Artificial Intelligence to Build a Winning ETF Portfolio

By Berg Codex

Price: $47.00

Product Description:

The rules of investing have changed. The investors winning right now are not working harder — they are working smarter, using tools that were unimaginable to retail investors just five years ago.

The AI Investor is a 192-page guide that shows you exactly how to combine artificial intelligence with exchange-traded funds to build a portfolio that is more disciplined, more data-driven, and more resilient than anything a traditional approach can produce.

This book covers the complete picture — from foundational knowledge to advanced execution.

You will learn:

How ETFs actually work — every major type, the metrics that matter, how to read a fact sheet, and the mistakes that quietly cost investors thousands of dollars over time.

What artificial intelligence does inside financial markets — in plain language, without the hype. You will understand sentiment analysis, machine learning models, and natural language processing well enough to use these tools critically, not blindly.

How to screen and select ETFs using AI-powered tools — filtering thousands of funds by momentum, volatility, sector rotation signals, and factor exposure in minutes rather than hours.

How to construct a portfolio built for your specific risk tolerance — with sample allocations for conservative, balanced, and aggressive investors, and a clear framework for rebalancing using AI signals.

How to read macro and sentiment signals before they reach mainstream financial media — and how to position your portfolio accordingly.

How to manage risk systematically — understanding volatility scoring, drawdown protection, Value at Risk, and stop-loss logic applied intelligently to an ETF portfolio.

How to invest in the biggest megatrends of the decade — AI infrastructure, clean energy, robotics, cybersecurity, and longevity — and how to identify emerging themes before they are priced in.

How to automate your investment workflow — including a detailed breakdown of robo-advisors, algorithmic rebalancing, and tax-loss harvesting that can add measurable after-tax returns every year.

How to backtest any strategy before committing real money — using free and low-cost tools, and avoiding the three errors that make most backtests worthless.

How to manage the psychology of investing — understanding the seven cognitive biases that destroy returns and building a rules-based system that protects you from your own worst decisions.

Three complete investor case studies — a beginner with $5,000, an intermediate investor with $50,000, and an advanced investor with $250,000 — showing exactly which tools they use, which ETFs they hold, and what results they achieve.

A full review of every tool in the AI investor's arsenal — screeners, robo-advisors, sentiment platforms, brokerage platforms, and portfolio trackers — organized by budget from $0 to $100 per month.

A look at where AI investing is headed — autonomous portfolio managers, quantum computing, regulatory evolution, and the skills that will define the next generation of serious investors.

The book closes with a 30-Day AI Investor Action Plan — a day-by-day implementation guide that takes you from reading to a fully operational investment system in one month — and a comprehensive glossary of over 40 key terms.

192 pages. Instant digital download. PDF and EPUB formats included.

$47.00