Authors : Aravind Gangavarapu; P V S Pranay; Polisetti Likhit Sai

Volume/Issue : Volume 9 - 2024, Issue 9 - September

Google Scholar : https://tinyurl.com/395mstad

Scribd : https://tinyurl.com/a5sa3xjk

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP330

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This document explains how artificial intelligence (AI) and the stock market can work together. Among the more important ones are stock pattern detection and stock prediction using AI. The goal of stock market prediction is to forecast the future value of a company's fiscal stocks. The application of machine literacy, which bases predictions on the values of current stock request indicators by training on their historical values, is a recent development in stock request vaticination technology. Several models are used by machine learning itself to facilitate and authenticate vaccination. The study focuses on prognosticating stock values using LSTM based machine literacy. Considered factors are volume, low, high, open, and closed. Transfer literacy was the model we used for the stock.

Keywords : Long-Short Term Memory(LSTM), Convolutional Neural Networks, Transfer Learning(VGG- 16).

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