Artificial Intelligence in Stock Market Trading

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.

Authors

Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-09-20
DOI
https://doi.org/10.38124/ijisrt/ijisrt24sep330
Citations
1
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.49
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article

Artificial Intelligence in Stock Market Trading

Aravind Gangavarapu, Polisetti Likhit Sai, P V S Pranay
1 citations
International Journal of Innovative Science and Research Technology (IJISRT)
Stock Market Forecasting Methods
0.49
article

Artificial Intelligence in Stock Market Trading

Aravind Gangavarapu, Polisetti Likhit Sai, P V S Pranay
article en
1 citations

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.

International Journal of Innovative Science and Research Technology (IJISRT)
Openalex Percentile: Top 31%
Stock Market Forecasting Methods
0.49
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