Currently only contains an offline version.

offline/run_tasks.py, from where you can run any functions necessary. Code is stored in `

0. Purchase Mac.

1. Create a virtualenv. Make sure your python3 is python3.6 (or latest version)

   $ virtualenv --python=/usr/local/bin/python3 env

2. Activate virtualenv.

   $ source env/bin/activate

3. Install all packages using pip.

   $ pip install -r requirements.txt

4. Create database tables.

   $ python offline/application/models/quanta.py

• The directory offline/application/ contains all of the required source code.
• The raw dataset is stored in offline/application/csv.
• The database structure is stored in offline/application/models/.
• Tasks are stored in offline/application/tasks.
• General tools are stored in offline/application/utils.
• Outputs are stored in results/.

Use run_tasks.py to manage the application. First, populate the database using the load_all_data() task. Then you can run the optimizer tasks as you see fit. Run get_portfolio_and_plot_results() to plot outputs.