A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A systematic literature survey on recent trends in stock market prediction. | LitMetric

A systematic literature survey on recent trends in stock market prediction.

PeerJ Comput Sci

School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.

Published: January 2024

AI Article Synopsis

  • The stock market prediction is complex and requires significant time, with traditional methods relying on technical indicators and fundamental analysis.
  • Researchers have increasingly turned to artificial intelligence to enhance prediction accuracy for stock price movements.
  • A comprehensive literature review of hundreds of articles helps investors and researchers select effective models for investment strategies based on market conditions.

Article Abstract

Prediction of the stock market is a challenging and time-consuming process. In recent times, various research analysts and organizations have used different tools and techniques to analyze and predict stock price movements. During the early days, investors mainly depend on technical indicators and fundamental parameters for short-term and long-term predictions, whereas nowadays many researchers started adopting artificial intelligence-based methodologies to predict stock price movements. In this article, an exhaustive literature study has been carried out to understand multiple techniques employed for prediction in the field of the financial market. As part of this study, more than hundreds of research articles focused on global indices and stock prices were collected and analyzed from multiple sources. Further, this study helps the researchers and investors to make a collective decision and choose the appropriate model for better profit and investment based on local and global market conditions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10909160PMC
http://dx.doi.org/10.7717/peerj-cs.1700DOI Listing

Publication Analysis

Top Keywords

stock market
8
predict stock
8
stock price
8
price movements
8
stock
5
systematic literature
4
literature survey
4
survey trends
4
trends stock
4
market
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!