Explainable stock prices prediction from financial news articles using sentiment analysis.

ABSTRACT: The stock market is very complex and volatile. It is impacted by positive and negative sentiments which are based on media releases. The scope of the stock price analysis relies upon ability to recognise the stock movements. It is based on technical fundamentals and understanding the hidden trends which the market follows. Stock price prediction has consistently been an extremely dynamic field of exploration and research work. However, arriving at the ideal degree of precision is still an enticing challenge. In this paper, we are proposing a combined effort of using efficient machine learning techniques coupled with a deep learning technique-Long Short Term Memory (LSTM)-to use them to predict the stock prices with a high level of accuracy. Sentiments derived by users from news headlines h

SUBMITTER: Gite S 

PROVIDER: S-EPMC7924447 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature