Stock Price Prediction and Investment Recommendations through Machine Learning Analysis
Stock Price Prediction and Investment Recommendations through Machine Learning Analysis
Hasibul Islam
Jahangirnagar University (Bangladesh)
Wary Hossain Rabby
Jahangirnagar University (Bangladesh)
Sadia Khanum
City University (Bangladesh)
Md. Emran Sikder
Daffodil International University (Bangladesh)
A. S. S. M. Q-E-Elahy
Jahangirnagar University (Bangladesh)
Gias Uddin
Uttara University, Bangladesh (Bangladesh)
MD Rafiqul Islam
Jahangirnagar University (Bangladesh)
Publication Information
Journal Title: International Journal of Research and Scientific Innovation (IJRSI)
Author(s): Islam, Hasibul; Rabby, Wary Hossain; Khanum, Sadia; Sikder, Md. Emran; Uddin, A. S. S. M. Q-E-Elahy; Uddin, Gias; Islam, MD Rafiqul
Published On: 11/11/2025
Volume: 12
Issue: 9
First Page: 3318
Last Page: 3328
ISSN: 2321-2705
- Cite this Article Islam, Hasibul; Rabby, Wary Hossain; Khanum, Sadia; Sikder, Md. Emran; Uddin, A. S. S. M. Q-E-Elahy; Uddin, Gias; Islam, MD Rafiqul; Stock Price Prediction and Investment Recommendations through Machine Learning Analysis, Volume 12 Issue 9, International Journal of Research and Scientific Innovation (IJRSI),3318-3328, Published on 11/11/2025, Available at https://rsisinternational.org/journals/ijrsi/article.php?id=323
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.
Keywords:
Stock Price, Prediction, Investment, Machine Learning, Analysis
