This scripts allow you to upload financial statements in .csv format (e.g., downloaded from Morningstar.com), and automatically estimate the fair price of the company based on a discounted cash flow model. The advantage is that you don't have to manually import all the data into a spreadsheet-based DCF Model, then saving time and reducing the likelihood of making mistakes (which doesn't eliminate completely the possibility of making mistakes). The fair price depend on different variables, such as the WACC you decide (which you can change in the formula). Moreover, the compounded growth of each financial value is calculated based on a weighted average of the last few years, that gives bigger weights to certin year (e.g., in this example it gives smaller weights to the COVID-19 years, because they caused anomalies in the economy.

This script is by no means a predictor and it isn't a magic formula for financial success, it's up to you to change the weights in the weighted average YOY growth, to estimate the WACC, to interpret the results, and to spot any bug in the code. If you find any bug in the code, please let me know, I'll be happy to fix it and improve the code. Moreover, it's impossible to predict the future, and you should be cautious when interpreting the fair price and any other result calculated by this script.

This script uses Roche Holding AG (RHHBY) as an example, and you may have to change the attribute names when importing your own three financial statements, because those attributed may be named differently (e.g., Total Revenue could be named Revenue or have other names).

Disclaimer: This repository contains Python scripts for financial modeling. The author is not a financial advisor, and the scripts are provided for educational and informational purposes only. The author makes no representations or warranties regarding the accuracy, completeness, or suitability of the code for any purpose. Users of these scripts are responsible for their own investment decisions and should seek the advice of a qualified financial professional.

Use at Your Own Risk: Investing in financial markets involves risk, and past performance is not indicative of future results. The author shall not be held liable for any capital loss, financial damage, or legal consequences resulting from the use of these scripts.

This project is licensed under the MIT License - see the LICENSE file for details.