Transaction-tracking application for Django
If you don’t have a Django project and you just want to run insider as a stand-alone service, you can use the example project written up in example. Set up the project (once):
$ python example/manage.py syncdb
See the Django documentation for more details.
Run the app on your local host (as many times as you like):
$ python example/manage.py runserver
You may need to add the current directory to PYTHONPATH so python can find the insider package. If you’re running bash, that will look like
$ PYTHONPATH=”.:$PYTHONPATH” python example/manage.py runserver
Entering transaction data by hand can be tedious and error prone. To automate the task, you should write scrapers to look up and enter transaction data automatically. To get you started, I’ve written insider/scrape/nasdaq.py, which scrapes NASDAQ’s interface to EDGAR's data. Use the scraper with something like:
$ export PYTHONPATH='.' $ export DJANGO_SETTINGS_MODULE='example.settings' $ python insider/scrape/nasdaq.py NYSE:RHT NASDAQ:GOOG
If the scraper doesn’t extract company names (nasdaq.py does not), it’s probably a good idea to add the relevant Company and Ticker to the database before running the scraper. Otherwise you may get tickers from several echanges all pointing to the company UNKNOWN.
This project was largely build following the Django tutorial. That’s a good place to start if you’re new to Django.