Stock-Price-Prediction-Sentiment-Analysis

Stock Market Prediction based on Machine Learning and Sentiment Analysis of Tweets. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The program combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall. We perform sentiment analysis on publicly available Twitter data to find the public mood and the degree of membership into 3 classes - positive, negative or neutral

File Structure

• tweets.py : Structure of Tweets for Sentiment Analysis
• Stock Price Prediction.ipynb : Main Machine Learning Module
• requirements.txt : Libraries and Modules required for the Project
• Yahoo-Finance-Ticker-Symbols.csv : Yahoo Finance Dataset

Technologies Used

Tensorflow

Keras

Yahoo Finance

Alphavantage

Scikit-Learn

Tweepy

Python

Team Members

• Pratham Wanmode
• Ashirwad Mishra
• Shashwat Dubey
• Arpita Das