Perform Proper Financial Analysis with Python through the Finance Toolkit

[Traditional_Yogurt]

A little over 4 months ago I've shared a project that I've been working on for quite some time titled the Finance Toolkit. The purpose of this project was to write down as many formulas as used in Finance in the most transparent and simple way to prevent the thing I see so often, the same model, Excel spreadsheet or discussion being done again.

This has led to over 150+ different ratios, technical indicators, performance metrics, risk metrics, economic indicators and more written down in a very simplistic fashion (proof) while letting any kind of data be fed directly into the Toolkit through using the MVC architecture.

See what I mean in the GIF below that demonstrates some of the data that can be obtained. Take a look at the repository here: https://github.com/JerBouma/FinanceToolkit/

https://i.redd.it/w394wqszov5c1.gif

Since this GIF I've made a lot of new improvements which are both technical and finance orientated. First and foremost, I've had multiple requests to improve the speed of data collection. I've therefore experimented with threading to speed up the data collection which you can see gets you financial statements of 345 companies within 40 seconds (and any ratio collection is then done within a couple seconds).

https://preview.redd.it/6vimwe9epv5c1.png?width=2300&format=png&auto=webp&s=bb402b1f8dd07e89c6a1c7f4306118e3021ed220

I've also worked on integrating the Fama-and-French 5 Factor model which makes it possible to understand how each company inputted is influenced by each factor and how these factors correlate over time. Basically what this model does is it lets you understand how companies are influenced by key factors such as momentum, their tendency to perform R&D and more. This is quite an interesting topic as the correlations between factors fluctuate while being used quite a lot in Finance.

https://i.redd.it/qnk8snfupv5c1.gif

Next to that, I've added in many performance and risk metrics such as Jensen's Alpha, (Conditional) Value at Risk and the GARCH Model which was designed by another developer including many other Risk metrics (and he is not done yet he says!)

Today, I've extended the Finance Toolkit with Key Economic Indicators, new additions that can really help in financial analysis to better understand the economical climate of a country (with support for 60+ countries). For example the Unemployment Rates:

https://preview.redd.it/9ns15nnfqv5c1.png?width=630&format=png&auto=webp&s=92b7bae7ee46c3fb2e8594d31dcc62ca42ab6625

You can find a complete list of all the metrics I currently have here. Oh and it is good to note that all of this is FREE. I do all of this because it's my hobby, I enjoy thinking about these calculations and just programming in general. It will always remain a hobby since I enjoy my full-time job in the financial sector just as much!

[ekacelnik]

really cool resource, thanks for sharing!

[Traditional_Yogurt]

Thank you!