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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models by Sidra Mehtab; Jaydip Sen; Abhishek Dutta is a book available to read on EtoBox.

What is Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models about?

Prediction of stock prices has been an important area of research for a long time. While supporters of the efficient market hypothesis believe that it is impossible to predict stock prices accurately, there are formal propositions demonstrating that accurate modeling and designing of appropriate variables may lead to models using which stock prices and stock price movement patterns can be very accurately predicted. Researchers have also worked on technical analysis of stocks with a goal of identifying patterns in the stock price movements using advanced data mining techniques. In this work, we propose an approach of hybrid modeling for stock price prediction building different machine learning and deep learning-based models. For the purpose of our study, we have used NIFTY 50 index values of the National Stock Exchange (NSE) of

Author

Sidra Mehtab; Jaydip Sen; Abhishek Dutta

Publisher

Springer Singapore : Imprint: Springer

Published

2021

Language

EN

ISBN

9789811604195

Subjects

Computer Science, Education, Business