/Stock-Market-Prediction-using-Numerical-and-Textual-Analysis

Primary LanguageJupyter Notebook

The Sparks Foundation Tasks

This repository contains the tasks that I completed while working as an intern for The Sparks Foundation.

  • Internship Category - Data Science and Business Analytics
  • Internship Duration - 1 Month
  • Internship Type - Work from Home

In this internship, we were provided a total of 8 Tasks and I was able to successfully complete all the 8 tasks within the given time-frame.

# Task-7 : Stock Market Prediction using Numerical and Textual Analysis (Level - Advanced)

Please click on the images on right side to view my solution.

  1. Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines.
  2. Stock to analyze and predict SENSEX (S&P BSE SENSEX)
  3. Download historical stock prices from finance.yahoo.com
  4. Download textual news data
  5. Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model.

Download the Textual news data set from the above link,due to size limit i can't upload that in the github