Welcome to GuidingData!

At GuidingData, everything revolves around data and its analysis. We focus primarily on interesting developments in the financial markets, whether it’s analyzing ETFs, stock indices, or historical inflation trends. The purpose of this blog is to provide the reader with background information on financial products such as ETFs, as a basic understanding of the products helps to make the right decisions when building up your wealth.

The toolbox for analyzing this data is not limited to simple statistical methods. We will also use simulations such In addition to analyzing data, we will also perform simulations such as the Monte Carlo method or simulate specific use cases (e.g., savings plans, retirement portfolios, etc.) to better understand financial markets and wealth accumulation. We will also look at insightful books and academic publications in finance, stocks, and investing.

I myself am firmly convinced of the scientific studies on the superiority of so-called passive investing. Passive investing is forecast-free, non-speculative investing in entire asset classes such as the global stock market on a buy-and-hold basis using ETFs. Unlike active investing, there is no costly and mostly return-damaging attempt to beat the market by market timing or focusing investments on specific stocks. So in this blog we will also look at globally diversified stock indices that form the basis of passive investing.

Since I am often asked which tools I use to create the analyses for the blog: I mainly use the programming language Python. Hardly any other programming language is better suited for the analysis, preparation and graphical presentation of data. Python is so popular in the field of data analysis because the language provides access to various libraries that allow easy implementation of everything from elementary data analysis to machine learning projects.

If you have suggestions or ideas for an interesting project or collaboration, email me, reach out on social media, or post a comment.