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Real Time Analysis of Stock Price based on Technical Indicators and Investors Sentiment using Deep Neural Network

Author(s):

Abhishek Gaire , Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Samir Bhandari, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Sachin Bista, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Dr. M Guru Vimal Kumar, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Keywords:

Deep Learning, Bi-LSTM Model, Stock Price Prediction, Sentiment Analysis, Sentiment Dictionary

Abstract

Stock prediction is the process of forecasting future movements in the prices of individual stocks or broader market indices. The task is challenging due to the complex and dynamic nature of financial markets, influenced by various factors such as economic indicators, company performance, geopolitical events, investor sentiment, and more. The stock market is erratic, dynamic, and nonlinear which makes it difficult to estimate stock prices accurately due to a variety of (macro and micro) factors, including politics, the state of the global economy, unforeseen occurrences, a company' s financial performance, and more. The Bi-LSTM architecture enables the model to effectively learn temporal dependencies within the data. The study offers action- able insights for investors and financial analysts by providing timely predictions and identifying key factors driving stock price movements.

Other Details

Paper ID: IJSRDV12I30001
Published in: Volume : 12, Issue : 3
Publication Date: 01/06/2024
Page(s): 1-6

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