Author Login IJIRT Partner Network (IPN) Login

Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review

  • Unique Paper ID: 142567
  • Volume: 2
  • Issue: 3
  • PageNo: 130-135
  • Abstract:
  • Stock market is generating enormous amount of valuable trading data. This paper presents a review on various data mining techniques applied to stock trading data to analyze and predict stock trend, outline of proposed model for stock prediction system based on technical, fundamental and external environmental factors. This paper focus on understanding stock market related information for investors and analyze National Stock Exchange data to predict stock future movements. Review on Technical indicators, price based and volume based, which are widely used to analyze stock data. Stock analyst, investors and stock brokers are trying to analyze stock trading data to predict future movement of stocks. Data mining is used to extract meaningful previously unknown rules and hidden patterns in data.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 3
  • PageNo: 130-135

Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry