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Frontend for stockiment

In the modern age of investing, the availability of data on investor sentiment allows us to extrapolate future buying and selling decisions based on mass media. In this project, we will attempt to use sentiment analysis to predict stock market valuation in the short term.

  1. We are performing NLP analysis on Tweets relevant to the stock/company.
  2. Using these quantitative results from the NLP analysis we will attempt to predict the value of the stock in the near future.
  3. Inform users of the stocks that we predict will go up or down.
  4. Provide users with trending tweets about each company to provide further insight and relevant news.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

Installing

yarn install
yarn start
yarn run build

Running the tests

Explain how to run the automated tests for this system

Deployment

Add additional notes about how to deploy this on a live system

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