The Stock Prediction web app is a Django web app where users can track stock market prices and receive esimated prices based off of a TensorFlow Neural Network.
At this moment we do not have a complete list of the necessary APIs and Libraries. We will add one as soon as possible. Here are the ones we have at the moment. *CURRENTLY USED:
- React.js
- Django Rest Framework (pip install djangorestframework)
- Cors Headers (pip install django-cors-headers)
- Stock Prices API: Finnhub.io
- Historical data: investpy
- Neural network: keras functional API
Run pipenv update to sync the pipfile, then install and shell
Navigate to the root directory of the project. And run:
pipenv install
This will install all of the required Python modules. Activate the virtual environment with
pipenv shell
Next run all migrations for database with
./manage.py makemigrations
and apply them
./manage.py migrate
If you are getting issues with the python version, make sure your ide is using the pipenv interpreter
./manage.py runserver
Webapps need a deployment section that explains how to get it deployed on the Internet. These should be detailed enough so anyone can re-deploy if needed . Note that you do not put passwords in git.
Running tests:
./manage.py test
Location of tests:
./stocks/tests.py
TBD.
In due time.
Aaron B.: [email protected]
Miles Z.: [email protected]
Max C.: [email protected]
Zane H.: [email protected]
Jiabei He: [email protected]