InvestOps Tutorials

Original repository on GitHub

Original author is Magnus Erik Hvass Pedersen

Introduction

InvestOps is a Python package with tools for investing and these are short tutorials on how to use them.

Tutorials

• Long-Term Stock Forecasting (Notebook) (Google Colab)
• Portfolio Diversification (Notebook) (Google Colab)
• Portfolio Group Constraints (Notebook) (Google Colab)

Run in Google Colab

If you do not want to install anything on your own computer, then the Notebooks can be viewed, edited and run entirely on the internet by using Google Colab.

You click the "Google Colab"-link next to the tutorials listed above. You can view the Notebook on Colab but in order to run it you need to login using your Google account.

Most of the required Python packages should already be installed on Google Colab, and there is a !pip install command near the top of each Notebook, which can be un-commented and run so as to install the required Python packages for that particular Notebook, like this:

!pip install investops

Run on Your Own Computer

If you want to run these tutorials on your own computer, then it is recommended that you download the whole repository from GitHub, instead of just downloading the individual Python Notebooks.

Git Clone

The easiest way to download and install it is by using git from the command-line:

git clone https://github.com/Hvass-Labs/InvestOps-Tutorials.git

This creates the directory InvestOps-Tutorials and downloads all the files to it.

This also makes it easy to update the files, simply by executing this command inside that directory:

git pull

Zip-File

You can also download the contents of the GitHub repository as a Zip-file and extract it manually.

Installation

If you want to run these tutorials on your own computer, then it is best to use a virtual environment when installing the required packages, so you can easily delete the environment again. You write the following in a Linux terminal:

virtualenv investops-env

Or you can use Anaconda instead of a virtualenv:

conda create --name investops-env python=3

Then you switch to the virtual environment and install the required packages.

source activate investops-env
pip install -r requirements.txt

When you are done working on the project you can deactivate the virtualenv:

source deactivate

Run

Once you have installed the required Python packages in a virtual environment, you run the following command from the InvestOps-Tutorials directory to view, edit and run the Notebooks:

source activate investops-env
jupyter notebook

License (MIT)

This is published under the MIT License which allows very broad use for both academic and commercial purposes.

You are very welcome to modify and use this source-code in your own project. Please keep a link to the original repository.