PYTHON
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Use Your Computer to Make Informed Decisions in Stock Trading

A gentle introduction to stocks market trading, Python programming, analytics, and data visualisation.

What is PythonInvest?

"Every Day, We Decode Financial Markets and Automate with Code."

Weekly Analytical Review

We regularly post fresh market insights and trends by updating the fundamental research Colabs and covering the most liquid stocks.

Fundamental Algorithms

We post long-reads about the various aspects of financial analysis, trading and portfolio management.

Education

We publish all the materials on PythonInvest, supporting them with code snippets and code on Github. We develop easy-to-apply Youtube screencasts, and run an instructor-led course.

Community

We encourage you to join our Telegram channel and subscribe your e-mail to get instant updates. All the materials we publish is up for the discussion on the channel. We're excited to get your feedback and suggestions. Let's rock together!

Who might be interested in joining

You like puzzles and want to practice your skills in a new area by trying new modelling and visualisation approaches.
You work professionally as a Software Engineer and want to get more exposure to the financial markets and analytics.
You already make investments in the financial markets and want to get an alternative 'analytical' view on what's going on.

Analysts

Developers

Individual |

Students

You want to develop your programming and analytical skills in Python, build your own portfolio and launch a great project.

Financial News Feed

ML-generated weekly summary of 5000 financial news using OpenAI's ChatGPT summarisation.
NOT AN INVESTMENT ADVICE.

    Analytical Blog articles

    Explore the recent research algorithms, including interactive charts and code on the Github

      About the Author

      Ivan Brigida
      I never planned to be involved in trading. I was taught that markets are generally efficient, making it difficult for a rookie investor to earn money before experienced traders and algorithmic robots capture all the margins. So, I focused on my core job.

      Everything changed in July 2019 when Revolut announced commission-free stock trading, lowering the barrier to entry to essentially zero. By the end of that year, the market had gained over 28%—a historic rise. Then, in early 2020, COVID-19 triggered a 30% market crash in just three months (Wiki: 2020 stock market crash). I didn’t believe that fundamental growth factors were broken, so I saw an opportunity.

      I realized that if I could earn more than my 3% annual mortgage rate, I could increase my total wealth by following a conservative investment strategy—without ever needing to make another early mortgage repayment.

      With over a decade of experience in business analysis and market research, I wanted to apply my skills to test the financial hypotheses and ideas I encountered in the press.
      I began investing a significant portion of my free cash flow into the stock market. This not only accelerated my learning but also gave me the satisfaction of building something for myself.

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