Stock Price Prediction based on Generative Adversarial Network

Volume 20 No 7 (2022)

M. Dhivya,Dr.V.Maniraj

DOI: 10.14704/nq.2022.20.7.NQ33472

Abstract

The prediction of stock market system provides a framework for businesses to maximize profits in the stock market. The increase in the huge amounts of information relating to the financial markets makes it challenging to effectively evaluate and forecast the stock market. Data from the stock market is timeseries data in which the value of stock varies over time. Accurate stock market analysis prediction remains a difficult task.

Keywords

LSTM, CNN, Deep Learning, Generative Adversarial Network (GAN)

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