MagicRanker is an open-source stock marking ranking and filtering tool based on the Magic Formula.

You can view it in action at MagicRanker.com.

Postgres can be installed on Ubuntu 14 as follows:

sudo apt-get install postgresql-9.3

I recommend using Postgres.app: "Just download, drag to the applications folder, and double-click"

Dunno. LOL. Pull request me up if you figure it out.

Less is required for compiling CSS and Bower for installing static files.

npm install -g bower less

• Create database and user.

> createuser -W magicranker
Password:
> createdb magicranker

• Coming soon Download nightly data dump and load into DB.
• Clone repo.

git clone [email protected]:lextoumbourou/magicranker.com.git

• Prepare a virtualenv.

cd magicranker.com && virtualenv env

• Install Python requirements.

pip install -r requirements.txt

• Install Bower deps.

python manage.py bower install

• Run webserver.

python manage.py runserver

> python manage.py test

MagicRanker can be configured with Docker, as follows:

docker-compose build
docker-compose up -d
docker-compose run db createuser -h "db" -U postgres "magicranker"
docker-compose run db createdb -h "db" -U postgres "magicranker"
docker-compose run web python /code/manage.py migrate stock
docker-compose run web python /code/manage.py bower install
docker-compose run web python /code/manage.py collectstatic --noinput
docker-compose run web python /code/manage.py compress
docker-compose run web restart

1. Update scrapers to dump CSV to a Git repo (and make it publically available).
2. Create PG import scripts.
3. Move scrapers out of repo.
4. Flake8 repo.
5. Make use of simple-ranker.