Stock Price Prediction Using Artificial Intelligence Based on LSTM–Deep Learning Model
Chapter discusses predicting stock prices using LSTM-based AI model with historical data from Tata Steel.
What it examines
This chapter explores predicting stock prices using AI, specifically LSTM deep learning models. It uses historical data from Tata Steel (2012-2021) to build robust models for forecasting stock prices, aiming to enhance the accuracy of financial predictions.
What it concludes
The results indicate that LSTM models are highly effective for stock price prediction. Potential applications include investment strategies and financial planning. Future research could explore other companies and longer time frames to validate these findings.
Evidence objects
The results indicate that LSTM models are highly effective for stock price prediction. Potential applications include investment strategies and financial planning. Future research could explore other companies and longer time frames to validate these findings.
key_findings bullet 1 · key_findings · validation V0
Raw abstract and provenance
Stock Price Prediction Using Artificial Intelligence Based on LSTM?Dee Skip to main content Breadcrumbs Section. Click here to navigate to respective pages. Chapter Chapter Stock Price Prediction Using Artificial Intelligence Based on LSTM?Deep Learning Model DOI link for Stock Price Prediction Using Artificial Intelligence Based on LSTM?Deep Learning Model Stock Price Prediction Using Artificial Intelligence Based on LSTM?Deep Learning Model By Honey Habib , Gautam Siddharth Kashyap , Nazia Tabassum , Nafis Tabrez Book Artificial Intelligence & Blockchain in Cyber Physical Systems Click here to navigate to parent product. Edition 1st Edition First Published 2023 Imprint CRC Press Pages 7 eBook ISBN 9781003190301 Share ABSTRACT Prediction of stock prices has been an important area of research for a long time and has always been a challenging task for the researcher. Investment firms and even individuals have been using financial models to better understand market behavior and make prof
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