Prognostication of Stock Market Performance

Author(s)	Kadiyala Uday Kumar Reddy, Narasimha
Country	India
Abstract	Time series forecasting is broadly used to decide destiny fees, and time collection is used for financial evaluation and in particular for directing traders' choices and transactions. This paper proposes a prudent time collection forecasting method the usage of a rolling window optimization to forecast the charges of mining gadget. The machine has a graphical person interface and runs as a standalone utility. The proposed model is a promising approach for predicting exceptionally non-linear time series whose patterns are tough to capture with traditional models. In this article, system getting to know techniques which include ARIMA, Linear Regression and Random Forest Classifier can be used to are expecting stock charges.
Keywords	trade, forecasting Regression, Random Forest Support Vector Machine.
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-06-29

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics	Join as a Reviewer Editors & Reviewers Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology