This project fetches time series stock market data from the Twelve Data finance api. Data is fetched using a background task queue. The task queue then sends the data to a websocket server which will then send data to the client. In the client, the time series information is illustrated with candlestick charts.

Technologies used:

• Django
• Django Channels (websockets)
• Celery (task queue)
• Redis (channel layer used as a backing store for communication between celery tasks and Django Channels)
• Plotly.js (for drawing candlestick charts)
• Twelve Data api