Description :

Stock prices are usually a bit tougher to forecast due to market volatility and social influence on the trend of each stock. This project provides a high-level overview of the steps involved in using sentiment analysis from tweets to predict stock market movements.

What we are trying to build?

Forecasting and comparing stock prices taking into account historical data and technical indicators.

Social media influence is factored in using sentiment analysis, to classify the sentiment of tweets as positive, negative, or neutral.

Implementing Generative Adversarial Network(GAN)