STOCK PRICE PREDICTION USING BI LSTM NEURAL NETWORKS
International Research Journal of Modernization in Engineering Technology and Science · 2023
Stock Market is gaining a lot of popularity recently.Even youngsters are showing interest in stock market investment.But there is a risk element involved as stock market is not easily predictable by everyone especially beginners.This paper is an effort to help such beginners in stock market investment by developing an efficient neural network model based on Bi-LSTM to predict future closing prices of stocks and integrating it with an interactive web application.This paper not only predicts the future closing prices, but also allows users to search for all the stocks that are listed on Bombay stock exchange, analyze their past and current performance, add them to portfolio, mimic buying and selling of shares etc.Stocks data for this entire activity is fetched from AlphaVantage API in real-time and all of the user activity is stored in Firestore database.The application is safe and secure with the Firebase user authentication.This application also has an AI powered voice assistant which helps in performing many tasks on the web application.