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Document details - Stock Market Analysis & Prediction Using R & Python

Journal Volume 10, Issue 2, March - April 2021, Article 9832220 Mr. Omkar Singh, Dr. S. K. Singh, Mr. Myron D’Souza, Mr. Zibreel Siddiqui , " Stock Market Analysis & Prediction Using R & Python " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 10, Issue 2, March - April 2021 , pp. 006-015 , ISSN 2278 - 6856.

Stock Market Analysis & Prediction Using R & Python

    Mr. Omkar Singh, Dr. S. K. Singh, Mr. Myron D’Souza, Mr. Zibreel Siddiqui

Abstract

Abstract : Stock analysis is a method for investors and traders to make buying and selling decisions. By studying and evaluating past and current data, investors and traders attempts to gain an edge in the markets by making informed decisions. Stock market prediction and analysis is a classic problem which has been analyzed extensively using tools and techniques of Machine Learning. Forecasting stock market prices has always been challenging task for many business analysts and researchers. In fact, stock market price prediction is an interesting area of research for investors. For successful investment lot many investors are interested in knowing about future situation of market. Effective prediction systems indirectly help traders by providing supportive information such as the future market direction. Data mining techniques are effective for forecasting future by applying various algorithms over data. Keywords- NSE, Fundamental Analysis, Technical Analysis, Sentimental Analysis.

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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