How to Utilize AI and Programming for Value Investing with Python

7 reasons why you should enhance your value investing work with Python

For the past year, I’ve been experimenting with the latest AI and programming tools to enhance my value investing analysis.

The reason is quite simple when you have a family there's absolutely no time to do any research. For example, I spend just as much time changing my kid's nappies and feeding him as I do reading annual reports.

So, in this article, I'll share my secrets of how I conduct value investing effectively with AI and programming.

Value investing has 2 components that make it work.

Understanding the company finances and knowing special insights through superior insights.

Corporate finance is something you’ll need to learn through hard work but here are some tips if you’re new:

Insights can be gained through superior analysis but this isn't through data insights. These are usually scientific, philosophical, or scientific insights.

To achieve these insights you'll need to develop a latticework of mental models, as Charlie Munger would say, from disciplines such as mathematics, microeconomics, physics, behavioral psychology, or biology.

The most important about value investing is that this form of investing is about investing large amounts of money in a few things you have special insights about and have a good amount of patience too.

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