Price Inflammation Prediction

Sandeep V P, Rinsa Rees

Abstract: The goal of the Price Inflammation prediction project is to predict stock price movements more accurately by utilizing data analytics and sophisticated computational approaches.The foundation of this project is the knowledge that stock markets are intricate systems that are impacted by a wide range of variables, such as past price trends, market mood, economic indicators, and geopolitical events.The main goal is to create a prediction model that can analyze large datasets and identify trends that human analysts might not see right away.The project processes and analyzes historical stock data using a variety of machine learning algorithms, including decision trees, support vector machines, and neural networks.Numerous financial measures and market indicators are included in the large datasets used to train these algorithms.

Keywords: Machine learning models, Behavioral analysis, Precision

How to Cite?: Rinsa Rees, "Price Inflammation Prediction", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 1735-1738, https://www.ijsr.net/getabstract.php?paperid=SR25416211920, DOI: https://dx.doi.org/10.21275/SR25416211920