All necessary data is in example/data/archive
.
- What coins are available in our dataset?
- What was the Close price of X coin at date yyyy-mm-dd (eg: BTC in 2020-01-02)
- Given a start date and end date, what are the best possible buy and sell times to maximise profit?
You can use any language and GUI (command line interface, streamlit, etc.).
These are not necessary for evaluation, but the candidate can use them to showcase his/her skills.
- Load the data into SQLite
- Create a REST API backend to serve the data to the tool
- Create a dashboard with useful metrics and graphs
Install the requirements in the environment poetry install
First create the database python manage.py migrate
To load the data into de sqlite database run python manage.py load_into_db
To create a superuser run python manage.py createsuperuser
To run the backend python manage.py runserver 8888
To run the interactive tool streamlit run example/streamlit/app.py
To run the dashboard streamlit run example/streamlit/dashboard.py
To access to the backend admin enter in http://127.0.0.1:8888/admin
with the credentials created for the
superuser (admin/admin
if the database is not deleted)