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» » » Build Your Own AI Investor : With Machine Learning and Python, Step by Step

Build Your Own AI Investor : With Machine Learning and Python, Step by Step

Build Your Own AI Investor : With Machine Learning and Python, Step by Step

English | 2020 | ISBN-13 : 978-1838132200 | 234 Pages | PDF, EPUB, AZW3 | 56.77 MB

Build Your Own AI Investor

Breaks down Value Investing for the AI revolution, whilst being accessible to anyone, even if you've never invested in stocks or coded before

Teaches Python step-by-step, from installation and the basics, all the way to creating your own AI Investor that picks stocks for you

Watch the AI Portfolio: See AI portfolio performance over time on the website, made with the code in this book.

AI Investing

Not sure how to approach the stock investing problem?

No time to learn these programming skills? Think it sounds daunting?

Think the investing game is rigged by computer-wielding financial wizards?

Do It All Yourself

Discover Value Investing, the approach taken by the best investors: Warren Buffett, Joel Greenblatt, Michael Burry, Peter Lynch, John Templeton, Charlie Munger

Build your own AI! Have your own Value Investing machine provide stock picks for the year

No time? Set up the AI in a weekend by skipping ahead to Chapter 5, even if you?ve never written code before

Anyone can learn the computing tools, every step is in this book to build a value investing AI

Your AI Investor in action

Make it personal, make your Robo-Investor as conservative or aggressive as you desire

Watch how your AI would pick stocks over the last 10 years with backtesting, test your AI as thoroughly as you like

Open source tools: All programming tools are freely available online, working code from the book is available online for readers. Train your AI using free online historical stock market data. (For present day stock selection you will need a SimFin+ online subscription, no affiliation.)

For beginners, exercises are provided in every chapter to develop your Python skills, slowly building competence until you can use Machine Learning tools for general problems.

For advanced readers this books provides a good basis in value investing, framing the stock selection problem in a quantitative way, using Machine Learning algorithms on stock market data.

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