Stock App

Fetching stock prices within a period of time.

This project was built with:

1. Flask web framework running Python 3 https://github.com/pallets/flask
2. MongoDB NoSQL database https://github.com/mongodb/mongo
3. ReactJS front-end framework https://github.com/facebook/react/

Install Dependencies

1. Install Docker CE for Windows/Mac or Docker Toolbox.

This project is fully containerized with Docker, meaning you need zero configurations on your local machine to run the app.

Running The App

1. CD to the root directory where docker-compose.yml exists.
2. Run docker-compose up. It may take a little while downloading new images.
3. Go to http://localhost:3000. In case of having Docker Toolbox, you may be required to go to different host name - something like http://192.168.99.100:3000/, depending on the IP address that Docker Linux VM has.

Reasoning about Design

1. Backend
   • Flask app with one file app and less scaffolding, just to receive and send requests to endpoints.
   • MongoDB non-relational database to be schema free and to make it easy dumping any JSON like data format.
2. Frontend
   • ReactJS single page application providing better user experience.

I gave the user freedom to choose any timespan for which stock data is returned. This makes the service generic to all cases/requests.

The request for stock data goes first to the backend server. If there is a cache/db miss, new data is stored/set, for future cache/db hit. This pattern minimizes the calls to the API iextrading.

Note that you can be smart to request the API a big timespan ONE time, and then any future requests within, would be from the database.

Enjoy!