A real-time stock tracking app that requests data through websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Users can select individual stocks to display Twitter streaming data and explore relationship between company performance and Twitter sentiment.
A demo version of the app is located at https://stock-charts.herokuapp.com/
The following must be installed to run the project:
- Node
- NPM
- MongoDB
And to install the application dependencies:
$ npm install
To access the Twitter streaming data, head over to https://apps.twitter.com/ and create a new app.
Save the Twitter API key, API secret, token key, and token secret as environment variables.
See the env.sample.js file for environment variable names.
For the financial data, get an API key from https://www.quandl.com/
Start up a local MongoDB instance or enter a URI in the environment variable.
To start the app:
$ npm run start
Navigate to
http://localhost:3000
To run the test suite, type the command:
$ npm test
| Front-End |
|---|
| HTML5 / CSS3 |
| Javascript |
| React |
| Babel |
| Webpack |
| Back-End |
|---|
| Node.js |
| Express |
| MongoDB |
| Mongoose |
| Socket.io |
MIT License