sowmyagowri / Stock-Market-Analysis

A group project for CMPE255 at SJSU

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Stock-Market-Analysis

This project aims at predicting the Stock price of a company given Stock symbol as an input. The output price is compared with the actual price. Also, the relation between twitter sentiments and the stock price change is studied. Does stock price depends on the twitter sentiments of that company?

Team Members

  1. Sowmya Gowrishankar
  2. Manika Kapoor
  3. Masi Nazarian

The front-end has been developed in angular.js and backend is in python flask framework.

Environment setup

  • Install the project requirements: pip install -r requirements.txt
  • Run the application: python app.py
  • The application will run on local host at port 8080
  • Enter the company stock symbol in the text box and click Submit
  • The prediction for the input will be displayed based on Artificial Neural Network forecast model as shown below:

whatsapp image 2017-12-04 at 12 49 08 am

whatsapp image 2017-12-04 at 12 49 04 am

About

A group project for CMPE255 at SJSU


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