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A company tracking app that requests real time stock data via websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Uses Twitter streaming data and algorithmic analysis to explore relationship between company performance and Twitter sentiment. HTML/CSS, Javascript, React, Node, Express, MongoDB, d3.js

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jmcilhargey/chart-stock-market

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Chart The Stock Market

Overview

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/

Install

The following must be installed to run the project:

  • Node
  • NPM
  • MongoDB

And to install the application dependencies:

$ npm install

Run

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

Test

To run the test suite, type the command:

$ npm test

Stack

Front-End
HTML5 / CSS3
Javascript
React
Babel
Webpack
Back-End
Node.js
Express
MongoDB
Mongoose
Socket.io

License

MIT License

About

A company tracking app that requests real time stock data via websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Uses Twitter streaming data and algorithmic analysis to explore relationship between company performance and Twitter sentiment. HTML/CSS, Javascript, React, Node, Express, MongoDB, d3.js

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