Seasonality Chart Analysis

A Jupyter Notebook for analysing the seasonality of a single financial product.

This notebook analyzes the seasonality aspect of stocks, ETFs, crypto token, indices, etc. The anslysis method used is the LOESS regression kernel. The symbol to analyze can be changed freely.

Preparation

Following actions have to be executed initially for preparation or each time on update:

MacOS

• Install python

  Download from https://www.python.org/downloads/

• Download and unzip latest version of the notebook

  Download the project as zip file and unzip to a desired location.

• Open command line terminal

  Open terminal and change to the directory with unzipped notebook.

• Setup the system

  pip install notebook
  pip install venv
  python -m venv .venv
  source .venv/bin/activate
  pip install -r requirements.txt

Windows

• Install python

  Download from https://www.python.org/downloads/

• Download and unzip latest version of the notebook

  Download the project as zip file and unzip to a desired location.

• Open command line terminal

  Open Windows PowerShell and change to the directory with unzipped notebook.

• Setup the system

  pip install notebook
  pip install venv
  python -m venv .venv
  .venv\Scripts\activate.ps1
  pip install -r requirements.txt

Linux

• Install python

  Download from https://www.python.org/downloads/

• Download and unzip latest version of the notebook

  Download the project as zip file and unzip to a desired location.

• Setup the system

  pip install notebook
  pip install venv
  python -m venv .venv
  source .venv/Scripts/activate
  pip install -r requirements.txt

Open the notebook

Following actions have to be executed always to open the notebook:

MacOS

• Open command line terminal

  Open terminal and change to the directory with unzipped notebook.

• Open the notebook

  source .venv/bin/activate
  jupyter notebook seasonality.ipynb

Windows

• Open command line terminal

  Open Windows PowerShell and change to the directory with unzipped notebook.

• Open the notebook

  .venv\Scripts\activate.bat
  jupyter notebook seasonality.ipynb

Linux

• Open the notebook

  source .venv/Scripts/activate
  jupyter notebook seasonality.ipynb

Using the notebook

…

Legal

Seasonality Chart Analysis is distributed under the GNU GENERAL PUBLIC LICENSE version 3. See the LICENSE file in the release for details.