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SDAX_Aktienanalyse

This project Aims to enable a free Stock Analysis Sheet for the German SDAX Stock family with latest Data provided by Yahoo Finance.

Due to high costs of Financial Data and Financial Data APIs it was necessary for me to implement a fully automated Stock Analysis Dashboard with no cost!

UPDATE: Yahoo Finance offers a API Access now! which i will use in the Updated Notebook to make this project more Error Resistent

I use it myself for the first Step in the Stock Market Analysis Process. Remember that a good Stock Pick needs further Research and Due Diligence after it got picked from the Dashboard! This is no financial Advise. The Project was created to demonstrate some Programming and IT Understanding Skills to future Employers.

Skills and Tools i used for this Project

  • Python Programming
  • Webscraping with Beautiful Soup
  • Web Requests and Knowledge about HTTP Requests
  • Data Manipulation with Pandas
  • Usage of Numpy for efficient Data operations
  • Google Cloud Console
  • API's (Google, Yahoo Finance)
  • Google Sheets Formulas (Advanced)
  • Various Google Sheets Formatting

Look at the Final Google Sheet Dashboard and the Data Dump Sheet

Final Result:

SDAX_Stock_Analysis_Dashboard

My "Database" for storing the Data:

SDAX Data Dump Sheet (only Data Store)

SDAX Stock Analysis Dashboard

Set up your Environment

Please make sure you have forked the repo and set up a new virtual environment. For this purpose you can use the following commands:

The added requirements file contains all libraries and dependencies we need to execute the hands-on notebook.

*Note: If there are errors during environment setup, try removing the versions from the failing packages in the requirements file.

macOS type the following commands :

  • Install the virtual environment and the required packages by following commands:

    pyenv local 3.11.3
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt

WindowsOS type the following commands :

  • Install the virtual environment and the required packages by following commands.

    For PowerShell CLI :

    pyenv local 3.11.3
python -m venv .venv
.venv\Scripts\Activate.ps1
pip install --upgrade pip
pip install -r requirements.txt

    For Git-bash CLI :

    pyenv local 3.11.3
python -m venv .venv
source .venv/Scripts/activate
pip install --upgrade pip
pip install -r requirements.txt

    Note: If you encounter an error when trying to run pip install --upgrade pip, try using the following command:

    python.exe -m pip install --upgrade pip