Stock price prediction using machine learning: evidence from Pakistan stock exchange

This study explores the application of machine learning techniques to predict the movement of stock prices in the market. Using a dataset of historical stock prices (KSE-100 Index), a Random Forest classifier is employed to make predictions about whether a stock will rise or fall in the future. The...

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Bibliographic Details
Main Author: Raza, Hassan
Format: Conference or Workshop Item
Language:en
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/132514/1/132514.pdf
https://ir.uitm.edu.my/id/eprint/132514/
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