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Analysis and Prediction of Healthcare Sector Stock Price Using Machine Learning Techniques: Healthcare Stock Analysis

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  • Daiyaan Ahmed

    (Vellore Institute of Technology, India)

  • Ronhit Neema

    (Vellore Institute of Technology, India)

  • Nishant Viswanadha

    (Vellore Institute of Technology, India)

  • Ramani Selvanambi

    (Vellore Institute of Technology, India)

Abstract

Healthcare sector stocks are a very good opportunity for investors to obtain gains faster most of the time in a year and mostly during this COVID pandemic. Purchasing a healthcare stock of a certain company indicates that you hold a part of the company shares. Specifically, various examinations have been led to anticipate the development of financial exchange utilizing AI calculations, such as SVM and reinforcement learning. A collection of machine learning algorithms are executed on Indian stock price data to precisely come up with the value of the stock in the future. Experiments are performed to find such healthcare sector stock markets that are difficult to predict and those that are more influenced by social media and financial news. The impact of sentiments on predicting stock prices is displayed and the accuracy of the final model is further increased by incorporating sentiment analysis.

Suggested Citation

  • Daiyaan Ahmed & Ronhit Neema & Nishant Viswanadha & Ramani Selvanambi, 2022. "Analysis and Prediction of Healthcare Sector Stock Price Using Machine Learning Techniques: Healthcare Stock Analysis," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 13(9), pages 1-15, January.
    • Handle: RePEc:igg:jismd0:v:13:y:2022:i:9:p:1-15
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