Stock Price Prediction using Data Analysis and Machine Learning
Year: 2025
Type: article
Abstract: The problem of stock price prediction is very important to investors for making proper decisions. The traditional methods of stock price prediction are intuition-based and lack adequate mathematical backup; hence, they are less accurate and reliable [2]. This paper, therefore, determines if data analytics and machine learning techniques can enhance the accuracy in stock price prediction. This work was based on a dataset that encompassed all the large companies’ stock prices over the years. Data visualization techniques were used in order to understand the trends and behaviours of stock prices [1]. This study will emphasize the possible application of data analysis together with advanced visualization methods for the prediction of accurate stock prices that could actually aid in formulating better investment strategies.
Source: Innovative Research Thoughts
Authors: Atharv Garg*, Dr Umang Soni
Institution: Netaji Subhas University of Technology
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409159744