• Yash Upadhyay
• Nitin Dixit
• Vinayak Pujari
• Pavan Ghate
• Shilpa Bhosale

One of the most important challenges in the world of computation is predicting the stock price. Rational and irrational behavior, the sentiment of investors, market rumors, physical, physiological, and other factors all play a role in the forecast. Many of these factors contribute to making stock markets very unpredictable and impossible to forecast accurately. We investigate data analysis as a game changer in this domain. According to efficient market theory, as all knowledge about a company and stock market practices is automatically available to all stakeholders/market participants, the ramifications of those developments are now rooted in the stock price. As a consequence, it is believed that only the previous spot price accurately represents all other market practices and can be used to predict potential movement. As a result, we use Machine Learning (ML) techniques on historical stock market data to infer future patterns, taking the past stock price as the final manifestation of all impacting variables. Deep learning for forecasting stock market prices and patterns has been much more common than ever in the age of big data. In this paper, we introduced a system that predicts the stock prices using LSTM (Long Short-Term Memory) neural network and sentiment analysis using twitter's data. Then, through an in-depth study on how to predict the stock price by the LSTM neural network optimized by ADAM optimizer, the feasibility of the method and the applicability of the model are analyzed, and finally, the conclusion is drawn.

Machine Learning, Artificial Intelligence, Long Short Term Memory, Adam Optimizer, Deep Learning, Neural Network, Prediction of stock price, Sentiment Analysis.

"STOCK PRICE PREDICTION USING LSTM AND MARKETS SENTIMENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f734-f738, May-2021, Available :http://www.jetir.org/papers/JETIR2105763.pdf

"STOCK PRICE PREDICTION USING LSTM AND MARKETS SENTIMENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf734-f738, May-2021, Available at : http://www.jetir.org/papers/JETIR2105763.pdf