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Stock Price Prediction and Investment Recommendations through Machine Learning Analysis

Author

Listed:
  • Hasibul Islam

    (Jahangirnagar University)

  • Wary Hossain Rabby

    (Jahangirnagar University)

  • Sadia Khanum

    (City University)

  • Md. Emran Sikder

    (Daffodil International University)

  • A. S. S. M. Q-E-Elahy

    (Jahangirnagar University)

  • Gias Uddin

    (Uttara University, Bangladesh)

  • MD Rafiqul Islam

    (Jahangirnagar University)

Abstract

We’re researching how our thesis can help guess stock prices and suggest smart investment moves. We start by checking if the current stock prices are right, looking at both the percent- age and money differences. We also predict the prices tomorrow, showing the real-time and guessed numbers and explaining how much they differ. After that, we give practical advice in three categories: Sell, Hold, and Buy, so people can make smart choices. We also look at what happens if the stock prices are guessed wrong and how it affects people’s investment portfolios.

Suggested Citation

  • Hasibul Islam & Wary Hossain Rabby & Sadia Khanum & Md. Emran Sikder & A. S. S. M. Q-E-Elahy & Gias Uddin & MD Rafiqul Islam, 2025. "Stock Price Prediction and Investment Recommendations through Machine Learning Analysis," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(9), pages 3318-3328, August.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:9:p:3318-3328
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