MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072000 A) filed by Srinivas Institute Of Technology, Valachil, Mangaluru on June 10, 2026, for Stock Price Prediction Using Linear Regression: A Machine Learning Approach.
Inventors include Ms. Vaishnavi K; Mrs. Deepthi Dsouza; Ms. Vijyetha M; Ms. Fathimath Zuha; Mr. Preetham; Ms. Aysha Sana K; Ms. M Pranamya; Mr. Vaibhav K V; Ms. Shreya Rai B U; and Ms. Avva Nezeeda.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: A fundamental machine learning algorithm, for stock price prediction. The study involves collecting and preprocessing historical stock data, selecting relevant features, and training a linear regression model. The model's performance is evaluated using metrics such as Mean Squared Error (MSE) and R squared, and its accuracy is compared with other simpler baseline methods. The findings highlight the computational efficiency of linear regression but also reveal its limitations in capturing the complex and non-linear dynamics of the stock market. This research provides a foundational understanding of linear regression's applicability to stock price prediction and offers insights for future exploration of more sophisticated machine learning models to enhance prediction accuracy.
Disclaimer: Curated by HT Syndication.
